Does social media help AI visibility?

It can, though not through follower numbers. AI tools cite social platforms such as LinkedIn and YouTube, but the citations go to specific published content, including from creators with small audiences. Your website remains the source you control.

Does LinkedIn content get cited by ChatGPT and other AI tools?

Yes. A 2026 Meltwater study of B2B prompts, covering 9.5 million AI citations, found LinkedIn was the second most-cited source after YouTube, with three-quarters of LinkedIn citations going to individual members. Studies differ on whether posts or articles are cited most.

Do more LinkedIn followers mean more AI citations?

Not on the evidence so far. In Meltwater's study of B2B prompts, 51% of cited LinkedIn creators had fewer than 10,000 followers, and OtterlyAI found no meaningful link between likes or comments and citations. Clear, specific, self-contained content matters more than audience size.

Should I publish on LinkedIn or on my website first?

Publish the full version on your website first, where you own it and search engines and AI tools can find it under your name. Then adapt it for LinkedIn as posts or an article, pointing back to the original, so one piece of thinking works in both places.

How do I see AI traffic in Google Analytics 4?

Open Reports, then Acquisition, then Traffic acquisition, and look for the AI Assistant channel. GA4 has assigned it automatically since 13 May 2026 for recognised tools such as ChatGPT, Gemini and Claude. For earlier data, filter the session source for chatgpt.com, perplexity.ai, gemini.google.com and claude.ai.

Does Search Console show AI Overviews and AI Mode traffic?

It shows part of the picture. The generative AI performance report, available to all sites since 31 August 2026, shows how often links to your pages appeared in AI Overviews and AI Mode, by page, country, device and date. It does not show queries, clicks or position.

Why does my AI traffic look small?

For most sites it is small. The large majority of AI activity on a website is crawling for training or indexing rather than people visiting, and sessions that begin in an AI tool are usually a small share of the total, growing from a low base. Track the share and its direction rather than the raw number.

Can I tell what people asked the AI before visiting my site?

Neither GA4 nor Search Console passes the question through. The closest substitutes are long, question-shaped queries in your standard Search Console report, the questions prospects raise on calls, and a "how did you hear about us?" field with an AI option.

Is there an ROI formula for AI search traffic?

There is no honest one yet. You can measure sessions, engagement and self-reported attribution, but not what the tool said about you or what the person did after reading it. The practical measure for now is whether your share of the channel is growing and whether the people it sends engage and enquire.

What is the difference between an AI crawler visit and AI traffic?

A crawler visit is a machine fetching your pages to train a model or build an index; it shows in server logs and never in analytics. AI traffic is a person who asked an AI tool a question and clicked through to your site; it shows in GA4 as a session with an AI referrer. The first vastly outnumbers the second.

Does brand size matter in AI search?

Far less than most marketers assume. Kantar's research plotting brand size against share of AI mentions found the two do not line up: well-known brands can hold small shares of AI visibility while smaller, more specific brands hold large ones.

Do big brands automatically appear more in AI answers?

No. Large brands appear often for their own names, but category-level answers are assembled from whichever sources the model trusts on that subject. A broad brand covered thinly can lose those answers to a smaller brand with real depth in one subject.

Can a small business show up in AI search ahead of bigger competitors?

Yes, on the subjects it owns. AI systems reward specific, checkable, corroborated depth, which a focused specialist can build faster than a generalist. The realistic goal is being the cited source for your narrow field.

Why isn't my company showing up on ChatGPT?

Usually one of three gaps: the machine cannot read your site properly, your content is not specific enough to be the best answer to any question, or there is too little third-party material corroborating you. Testing category questions across several AI tools shows which.

Does domain authority decide AI visibility?

Not on its own. Traditional authority metrics still influence crawling and ranking, but AI citation leans on specificity, trust signals and third-party corroboration as much as link profiles. Sites can be visible in AI answers without a big domain, and invisible with one.

What is share of model?

Share of model is the percentage of category-relevant queries in which a brand appears across AI-generated answers, an AI-search counterpart to share of search. It measures presence in the answers buyers see, rather than clicks or rankings.

How do I show up in AI search?

Go deep on a subject you can own outright, make your site readable to AI crawlers, name your authors and keep your facts consistent, build third-party mentions beyond your own domain, and test category-level questions across several AI tools to track progress.

Is AI SEO different for small businesses?

The mechanics are the same; the opportunity is different. Small specialists can win narrow subjects outright, which is where AI citation is decided, while enterprise programmes spread effort across broad terms. Depth on owned subjects is the small-business edge.

What is an AI readiness check?

An AI readiness check looks at how AI tools such as ChatGPT, Google's AI Overview and Perplexity see your website: whether they can read it, describe your brand accurately, and include you when buyers ask. It finds the gaps and the easiest fixes, usually in under thirty minutes.

Why doesn't my business show up when AI recommends companies in my field?

Usually because AI builds those generic recommendations from third-party round-ups and directories rather than from your own site. If your brand is not listed in the sources AI quotes, it can describe you accurately by name yet still leave you out of the category answer.

How can I check whether AI mentions my business?

Ask an AI tool about your business by name and see whether the answer is accurate, then ask the generic question a buyer would type and see whether you appear at all. The gap between those two answers shows you how much work is in front of you.

What is an llms.txt file, and do I need one?

An llms.txt file is a plain-text file at the root of your domain that gives AI tools a clear summary of your site. Adoption is still early and no major AI platform commits to reading it yet, but it is quick to add and signals that your site is built with AI readers in mind.

Is appearing in Google's AI Overview different from appearing in ChatGPT?

Yes. The two pull from different sources and update at different speeds, so a brand can sit at the top of ChatGPT's answer while Google's AI Overview leaves it out. Being cited across both takes consistent entity signals and a presence in the sources each one draws on.

Tag: AI visibility

UK B2B content and AEO agencies compared (2026), with prices

We compared 37 UK agencies that write B2B content, improve AI search visibility, or do both, and took every price from each firm’s own website, so you can shortlist on facts rather than first impressions.

If you run a UK B2B firm and want content that brings in enquiries and gets your name into AI answers, you probably want to know two things first: what it costs, and who to ask. This page covers 37 agencies that sell B2B content writing, answer engine optimisation (AEO; some firms use GEO or AI search optimisation for the same or overlapping work), or both. Every listing uses the same fields: where the firm is based, what it sells, its published price, who it suits and when you would do better elsewhere. We checked every website on 22 October 2026, we ranked nobody, nobody paid to be listed, and 21 of the 37 publish no price for their content or AEO work, which is more than half. We are on the list too, in the group where we work, and every group is in alphabetical order.

We also put the questions buyers ask to ChatGPT, Perplexity, Claude and Google, and we report what came back. After reading, try asking the two agencies on your shortlist the five questions in the “four kinds of agency” section below; the answers tell you more than any rate card.

What £1,000 a month buys: ads, AI visibility tracking or content

With about £1,000 a month, buyers often ask why not put it all into Google Ads. You can, and for some firms you should. Ads can bring enquiries quickly while you pay for them, and the paid traffic largely stops when the spending does. Content marketing is slower, but it works as always-on marketing: it builds brand equity, it can keep answering the question a buyer typed at eleven on a Sunday night, and it lets your sales grow at a pace your team can handle rather than in a sudden rush you cannot serve. If you need results this month, advertising may suit you better. If you want to be the firm buyers already trust by the time they call, content is the longer and steadier route.

AI answers add a third option. OpenAI announced plans to test ads in ChatGPT in January 2026, began showing them in the United States on 9 February, and extended the pilot to the UK on 6 June 2026 (PPC Land, 2026), with an Ads Manager beta opening to UK advertisers later that month (Search Engine Land, 2026). OpenAI’s own position is that ads do not influence the answers ChatGPT gives, that they are labelled and kept separate from the organic answer, and that they may appear only for users on the Free and Go tiers, so Plus, Pro, Business and Enterprise subscribers do not see them (OpenAI, 2026). You can now pay for a labelled placement below a ChatGPT answer in the UK. Being the source the answer quotes and cites is a different game, and it is the one this page is about.

When we asked four AI assistants who could help a UK B2B firm get cited by ChatGPT for about £1,000 a month, the advice split. Claude put a small tracking tool at £50 to £150 and the rest into content and authority work through a freelancer or small agency; ChatGPT allocated £600 to £700 to specialist implementation and only £200 to £300 to expert-led content; Perplexity and Google pointed to AEO specialists with packages under £1,000. Our view: tracking is the small part of the spend now (monitoring starts at £149 a month on this page), and the writing is usually what gives an assistant something worth quoting, so writing deserves most of the money.

What you need done: four kinds of content and AEO agency

“Content and AEO” covers four different jobs, and most agencies on this page lead with one (our plain-English guide to AEO explains the terms). Decide which job you need done first, then read the matching table. Each firm appears once, placed by the service most relevant to this page rather than by its full offer, so a full-service agency sits where its content or AEO work puts it.

A. Content specialists: writing is the main offer

These firms write: articles, guides, web copy and thought leadership, often for large brands or for other agencies. Most of them do not sell AI search work, though several now describe their writing as built for AI search as well as Google. They fit when you already have someone measuring and fixing your site and you need a writing team that knows your sector. Ask them who does the writing, how they interview your experts, and whether they will put a named author on the piece.

B. Content and AI visibility together

These firms write and measure: articles built from your expertise, page improvements, and in most cases some form of reporting on whether ChatGPT, Perplexity and Google’s AI answers mention you. This is the group we work in. It fits firms of 10 to 50 people that want one team covering both halves of the job. Ask them what a 90-day plan looks like, how they measure AI visibility, and what they will not promise.

C. AI search and AEO specialists

These firms track and fix: software that monitors AI answers, audits, structured data and page rewrites, usually from an SEO base, with writing as an add-on or quoted separately. They fit when you have writers already and need the technical side done well, or when you want to know where you stand before spending on content. Ask them what the monthly report contains, what happens after the audit, and who writes any content they include.

D. Content inside wider campaigns

These are PR, demand generation, brand and HubSpot agencies where content is one part of a larger programme, usually for larger monthly spend and marketing teams with an in-house lead. They fit when you need several channels run at once. Ask them how content is priced within the retainer and how much of it is written in-house.

We have not listed freelancers or AI writing tools. A good sector freelancer can be excellent value if you have the time to brief and edit; AI tools give you drafts, not a view. If you want the lowest-cost route, write it yourself with ChatGPT and spend the saving on someone to check it.

Five questions to ask any agency on your shortlist (the AI assistants we tested told buyers to ask about who writes, 90-day plans and guarantees; the rest are ours):

Who writes the content, and will they interview our people?
What does the first 90 days look like, week by week?
How do you measure whether AI assistants mention us, and how often do you report?
What will you not guarantee?
Can we see a piece you wrote for a firm our size, with the author named?

Check whether your website is ready for AI search before you choose an agency

Our complimentary AI readiness check is a service for UK B2B firms: we look at how AI crawlers read your site, what they can quote, and where the gaps are, and send you a one-page report. It runs until 27 November 2026. Request your AI readiness check.

The comparison: 37 UK content and AEO agencies by what they do

Prices are as published on each firm’s own website on 22 October 2026. Where a firm says whether VAT is included, we follow it; most quote B2B prices before VAT, so check with any firm that does not say. “Not published” means the firm gives no price for its content or AEO work on its site; we have noted how it says it prices instead. Firms are in alphabetical order within each group, and every firm is linked to its own site. If we have misdescribed yours, the corrections route is in the method section at the end.

A. Content specialists

Agency	Based	What it sells	Published price (own site, 22 October 2026)	Suits	Go elsewhere if
Collective Content	London	B2B content planning, writing and paid promotion for enterprise marketing teams	Not published; quote	Enterprise B2B tech marketing teams	You want AI search work; its AI policy says it does not use AI to write client content, and it sells no AEO service
CopyHouse	Edinburgh (offices include London and New York)	Content writing for tech, fintech and other complex industries	Not published; quote	Tech and fintech brands needing writers who know the sector	You need measurement and fixes as well as copy; no AI search offer on its site
Fintech Content	London	Fintech and financial services content packages, described as optimised for AI and SEO	Not published; quote	Fintech and financial services firms wanting sector writers	You are outside financial services, or want AI visibility measured and reported monthly
PracticeWeb	Birmingham	Content and websites for UK accountancy practices on a subscription; a trading division of 20:20 Innovation	Not published; monthly subscription	Accountancy practices wanting regular, ready-to-use content	You are outside accountancy, or want articles built from your own partners’ expertise
Radix Communications	Truro	B2B technology writing for tech brands and for marketing agencies; employee-owned, working with B2B tech clients since 2007	Not published; quote	B2B tech vendors and agencies needing specialist tech writers	You want AI search measurement or page fixes alongside the writing; Radix sells neither
Stratton Craig	Bristol and London (also Singapore and the US)	Copywriting and content for large brands, including SEO and GEO copywriting; founded 1987	Not published; quote	Large financial services, tech and legal brands with a marketing team to brief a writer team	You are a small firm wanting a monthly package with AI visibility reporting included

B. Content and AI visibility together

Agency	Based	What it sells	Published price (own site, 22 October 2026)	Suits	Go elsewhere if
Articulate Marketing	Remote, UK	Content and HubSpot agency (HubSpot Platinum partner) offering GEO, with retainers priced by the week	Drive Starter from £612 a week; Pro from £1,085; Enterprise from £1,921 (about £2,650, £4,700 and £8,300 a month)	B2B tech, health and sustainability firms with a marketing lead	Your spend is under about £2,650 a month, or you are outside its sectors
Blue Train Marketing	London	Content, copywriting, messaging, SEO, lead generation and an AI and LLM search visibility service for fintech and B2B tech; founded 2014	Not published; discovery meeting	Fintech, payments and B2B tech firms selling across the UK, Europe and the US	You are outside financial services and tech, or want a published package price
Brafton UK	London (UK arm of a global agency, since 2008)	Content creation, SEO, generative engine optimisation, social, email and paid, priced in units	SEO from £1,500 a month; website audit from £450; content at one unit (£75) per 100 words; no separate GEO price on its pricing page	B2B and B2C firms of any size wanting volume content and SEO with published starting prices	You want a small sector specialist
Cal Partners	Newcastle upon Tyne	Chartered marketing agency led by a former solicitor: AEO and GEO alongside PR, content, social and video	Not published; quote	Law firms, accountancy practices, consultancies and IFAs	You are outside professional services, or want a writing-led package with a published price
Conscious Solutions	Bristol and Portishead	Law-firm marketing: legal content, SEO and GEO, websites, PPC and digital PR	Not published; quote	Law firms of all sizes (300+ firms over 20 years)	You are not a law firm, or want a single-service package rather than a full-service agency
Contentifai	Gateshead, Newcastle upon Tyne	Premium, human-led B2B content, sharpened with AI and built from your own expertise, page optimisation and AI visibility reporting, in modular monthly packages	Publish from £440 a month (two articles); Optimise from £220; Measure (AI visibility and web performance report) from £200 a month; AI readiness audit from £500; 12-week content campaigns from £700 a month. Most of our clients spend £600 to £1,200 a month. 28-day rolling, no minimum term	UK B2B firms of 10 to 50 people, and agencies that need specialist B2B writing and AI visibility work behind their campaigns; fintech, financial and professional services; European firms publishing in English	You need ten or more pieces a month, paid media or a full HubSpot build
Grizzle	London	Organic growth for B2B SaaS: content, SEO and GEO with a dedicated strategist, writers and editors	Retainers not published; Digital PR Sprints from $10,000	B2B SaaS teams wanting content, SEO and GEO at volume	You are not a SaaS company, or want a small monthly package rather than a programme
Lawtelligence	Gloucester	Law-only content, branding, SEO, AEO and GEO, including GEO for law firms (the former Legal Copywriting Company domain now redirects here)	Law firm SEO from £800 a month; practice-area pages usually £95 to £250 each; website content packages from around £2,500	Solicitors, barristers and boutique law firms	You are not a law firm
Mint Studios	Edinburgh and Austin, Texas	Fintech content built on interviews with the client’s own experts, now with LLM visibility work; starts with a two-week diagnostic	Clients typically spend USD 5,000 to 20,000 a month	Fintech and financial services firms at that level of spend	You are outside financial services, or your spend is under USD 5,000 a month
Omnius	London (also Dubai and Belgrade)	SEO, GEO and product-led content for SaaS, fintech and AI companies	Not published; quote	SaaS, fintech and AI firms	You are outside SaaS, fintech and AI
Whitehat SEO	London	SEO, AEO and inbound retainers for B2B firms on HubSpot (HubSpot Diamond partner), with published prices	AEO done-with-you from £1,967 a month; done-for-you from £2,967; content add-on £90 to £250 an article; standalone articles from £450	B2B firms running HubSpot that want a productised retainer	You are not on HubSpot, or want human-written articles as the core of the plan rather than an add-on
Wriggle Marketing	Gosforth, Newcastle upon Tyne	B2B digital agency: SEO, content writing and an AI search service, plus paid, email, web and creative	Not published; proposal after a discovery call	Manufacturing, engineering, construction and technology firms in the North East and beyond	You want a published monthly price

C. AI search and AEO specialists

Agency	Based	What it sells	Published price (own site, 22 October 2026)	Suits	Go elsewhere if
Click Intelligence	Cheltenham and London	Large SEO and link-building firm with tiered AI SEO packages and content at volume; also works white-label for agencies	AI SEO Standard from £1,000 a month; Premium from £3,000; Pro from £5,000	Firms wanting links and content at volume, and agencies buying white-label	You want a small sector specialist
Figment	Kingston upon Thames	SEO and AI search (GEO) campaigns, consultancy and digital PR, with prices published	SEO and AI search from £1,500 a month plus VAT; consultancy from £125 an hour; digital PR from £3,000 a campaign	Expert-led businesses wanting search and PR together	Content is your main need; its packages lead with search and PR
Fly High Media	Manchester and Cheshire	SEO and AI SEO for B2B and B2C brands	Core range £1,500 to £4,000 a month (its own blog); minimum six-month commitment, which it says is flexible	B2B and B2C brands wanting a search-led agency	You want a B2B-only team or no minimum term
MarGen	Sheffield	GEO and AEO for financial services, legal and professional services and B2B SaaS, with a paid audit credited to the first month	Foundation £2,950 a month (three-month minimum); Authority £5,950 (£6,500 for regulated sectors, 12-month minimum); Dominance from £12,950 (12-month minimum); Synaptic Audit £2,950, credited if a retainer starts within 30 days	Regulated firms with a marketing lead spending above £3,000 a month	Your spend is under £2,950 a month, or you want no minimum term
ORRJO	Glasgow (also London)	B2B growth agency (founded 2022, 45+ people) combining research, brand and content, SEO and AEO, demand generation and outbound, with a public price list	SEO and AEO from £1,250 a month; AI visibility audit £750 plus VAT (credited against larger work within 90 days); monitoring from £149 a month; most clients £2,500 to £10,000 a month	Funded startups to corporates wanting growth, demand generation and AEO under one roof	You want a founder-led writing team, or a package under £1,250 a month
ROAR Digital Marketing	Newcastle upon Tyne	B2B search agency with AEO under its SEO service, plus PPC and content writing	Not published; discovery call	Seven- and eight-figure B2B companies in finance, law, accountancy, manufacturing and SaaS	Content is your main need; ROAR is search-led
Scalux	London	AI search and SEO service built only for B2B SaaS, from tracking to content drafts	Starter £350 a month (no drafts); Growth £1,050 (two content drafts); Enterprise from £2,500 (four or more); 30 days’ notice	B2B SaaS companies	You are not a SaaS company
Sort The Clicks	Bishop’s Stortford	Productised SEO and GEO retainers tracking Google, ChatGPT, AI Overviews and Perplexity, with one or two articles at the upper tiers	Visibility Monitoring from £300 a month; Visibility Growth from £500 (one article); Search Partner from £900 (two articles); three-month minimum, paid a month in advance	Service businesses whose buyers research before they buy	Writing is your main need, or you sell mainly online (its own advice)
The SEO Works	Sheffield, London and Leeds	Full-service search agency offering GEO and AEO alongside SEO, PPC and paid social	Not published; quote	Mid-market firms and SMEs wanting search and paid media from one team	Content is your main need, or you want a published price
Tilio	Near Exeter, Devon	Managed AEO and GEO: tracking, audits and programmes, with a content partner; also lists ChatGPT ads	Not published; quoted to your scope, with the fee agreed in conversation (its site showed prices at our 7 October check)	In-house marketing and SEO teams, founders and agencies measuring AI visibility	You want writing included and priced up front
Vikn Studio	Walkington, East Yorkshire	Web and software studio whose AI visibility retainers include monthly ChatGPT, Perplexity and AI Overviews reporting and fixes; content quoted separately	Starter £595 a month; Core £1,195; Growth £2,395; month to month	SMEs wanting monthly AI visibility reporting and fixes	Writing is your main need

D. Content inside wider campaigns

Agency	Based	What it sells	Published price (own site, 22 October 2026)	Suits	Go elsewhere if
Blend	Reading (also Atlanta)	Growth partner for PE-backed B2B companies, with HubSpot implementation and an AEO service (audit, prompt and persona mapping, schema, tracking)	Not published; its pricing page leads to a call booking	PE-backed B2B software and services firms, many running HubSpot	You want writing as the core service, or a small monthly package
Canny	Blyth, Northumberland	Branding, websites and SEO for small B2B marketing teams, with content writing inside its upper retainer tiers; since 2015	Canny On Demand £1,440, £2,100, £3,400 or £5,280 a month, plus one-off onboarding (£720 or £2,160)	Small B2B teams in IT, recruitment and healthtech wanting design, web and content under one retainer	Writing is your main need, or you want dedicated AI visibility tracking and reporting
Coast Communications	London	PR for professional services firms: media relations, reputation management, and content and campaigns (thought leadership, client newsletters, case studies)	Not published; contact	Professional services firms wanting media coverage and thought leadership	You are outside professional services, or want AI search work or a monthly article package; neither is among its listed services
Definition	London and Leeds	B2B PR and digital marketing agency with content, SEO and an AI visibility audit	Not published; quote	Mid-to-large B2B organisations in legal, accounting, business services and tech, including fintech	You want a small monthly content package rather than a PR-led programme
Fox Agency	Leeds and London (also New York and Denver)	Integrated marketing and PR for global B2B tech brands, with content, search, events and GEO	Not published; consultancy sprint or ongoing partnership	Mid-to-large B2B tech brands wanting integrated campaigns	You are a firm of under 50 people wanting a monthly content package
Gripped	London	B2B SaaS demand generation with GEO and SEO among its channels and content inside the retainer	Advisory or Execution from £3,500 a month plus project fees; Performance from £7,500; Scale from £15,000; typical spend £5,000 to £15,000	SaaS, AI and tech firms from about £2m ARR	You are outside SaaS and tech, or your spend is under £3,500 a month
Velocity Partners	London (also New York)	B2B tech marketing agency (its homepage says it is becoming Pretzl): planning, creative including content and copywriting, and performance (search, PPC, ABM)	Not published; contact	Enterprise and scale-up B2B tech marketing teams buying campaigns and brand work	You want AI search work or a standalone article package; its site lists neither
Vested	London and New York (also Des Moines)	Financial services PR, content and an AI Optimization programme covering ChatGPT, AI Overviews, Claude and Perplexity; 100+ employees	Not published; contact	Banks, fintechs, insurers, private equity and wealth firms wanting PR-led content with AI visibility	You are outside financial services

How to choose by what you spend each month

Pricing follows the work. None of the six content specialists on this page publishes a price, because writing tends to be scoped to each client, while eight of the eleven AI search specialists do, because tracking and audits package easily. If writing is the job you need done, expect a scoping call before you see a figure.

Rather than draw price bands around firms that sell different things, here is what the published prices above add up to, grouped by the job they pay for. Figures are each firm’s own, as published on 22 October 2026. Two firms on this page changed their pricing between our first check on 7 October and our recheck on 20 October (one raised its prices, one took them down), before our final check of every listing on 22 October, so treat every number as a starting point for a conversation.

Tracking and monitoring only: from £149 a month (ORRJO monitoring), £300 (Sort The Clicks), £350 (Scalux) and £595 (Vikn Studio). You get a report on where you appear, and nothing is written.
One-off AI readiness and AEO audits: from £500 (Contentifai AI readiness audit), £750 plus VAT (ORRJO, credited against larger work) and £2,950 (MarGen, credited to the first month). Brafton’s SEO website audit starts at £450.
Search and AEO retainers that include some content: from £500 (Sort The Clicks Visibility Growth, one article) and £900 (Search Partner, two articles), Lawtelligence’s law firm SEO from £800, Click Intelligence from £1,000, Scalux Growth £1,050 (two drafts), ORRJO from £1,250 and Figment from £1,500. Vikn Studio’s £595 to £2,395 tiers quote content separately.
Content and AI visibility programmes: Contentifai from £440 a month, with most of our clients spending £600 to £1,200; Whitehat from £1,967 to £2,967; Articulate from about £2,650; MarGen from £2,950; Mint USD 5,000 to 20,000.
Campaign and multi-service retainers: Canny £1,440 to £5,280; Brafton’s SEO retainer from £1,500, with content priced separately at £75 per 100 words; Gripped from £3,500 (typical £5,000 to £15,000).

When we asked the AI assistants how much an AEO agency costs in the UK, they answered in bands too, and one of them quoted prices that two firms, one of them on this page, had changed weeks earlier. A dated page with a corrections route is our answer to that, and it is why we recheck every quarter.

Specialist content and AEO agencies by sector

These three cuts group the firms above by the sectors they name, for the buyers who most often ask us for a shortlist.

Fintech and financial services

Mint Studios was named by three of the four AI assistants we asked for a UK fintech content agency, and its work is built on interviews with the client’s own experts. Fintech Content, CopyHouse, Blue Train Marketing, Vested, Grizzle and Omnius all name fintech or payments as a core sector; MarGen and Stratton Craig list financial services among several, and Definition counts fintech among its tech clients. Contentifai writes a recurring column for FinanceX Magazine under a content partnership and has published a fintech content marketing case study on finding white space in a crowded market.

Professional services: law, accountancy and consultancy

Two firms work only with law firms: Lawtelligence and Conscious Solutions. Coast Communications offers PR and thought leadership content to professional services firms more widely. Cal Partners serves law firms, accountants, consultancies and IFAs, and PracticeWeb serves accountancy practices alone. Figment, MarGen, Definition and ROAR list law, accountancy or financial advice among their sectors. Contentifai works with professional services firms of 10 to 50 people that want their partners’ expertise turned into content buyers can find and AI assistants can quote.

Newcastle and the North East

When we asked the four assistants for a B2B content agency in Newcastle or the North East, the names that came back included Cal Partners, ROAR, Wriggle Marketing, Canny and Contentifai (first in Google’s AI answer and on Perplexity’s list), alongside Allies Group, B7 and others we have not listed. Our office is in Gateshead, across the Tyne from Newcastle city centre, and most of our clients are elsewhere in the UK and in Europe.

What ChatGPT, Perplexity, Claude and Google recommended when we asked

On 20 October 2026 we put seven buyer questions to ChatGPT, Perplexity, Claude and Google’s AI answer, one fresh run each, 28 answers in all. The questions covered the best B2B content agency for a 30-person firm, who can get a firm cited by ChatGPT for about £1,000 a month, fintech content agencies, AEO costs under £1,500, alternatives to a specialist AEO agency, who can check a site’s AI search readiness, and B2B content agencies in the North East. Answers change between runs and between users, so what follows is a dated snapshot of patterns, not a ranking.

What we found: Of the firms on this page, those named in more than one answer were Gripped and ORRJO (four answers each); Velocity Partners, Vested, Mint Studios and ROAR (three each); and Radix, Click Intelligence, Scalux, Tilio, Cal Partners, Canny, Wriggle Marketing and Blue Train Marketing (two each). Firms we have not listed that came up more than once included AEO Agency UK, MEEDEA, NeuralAdX, AEOscore and Allies Group. Contentifai was named in three of the 28 answers: third in ChatGPT’s shortlist for a 30-person B2B firm, where it described us as a thought leadership and website content specialist for professional services and founder-led firms, first in Google’s AI answer for the North East, and on Perplexity’s North East list.

Five patterns stood out, the first being that many answers drew on roundups and comparison pages, several of them written by agencies listing themselves, which is one reason we wrote this one with every price sourced. Second, content questions were answered by need (“best for”, “choose this if”) while the price question was answered in bands, so we have organised the page the same way. Third, beyond a handful of names (Gripped, Mint Studios, Vested, Velocity Partners, ROAR and ORRJO), the four assistants rarely agreed on the same prompt, and a SparkToro and Gumshoe.ai study of 2,961 prompts found ChatGPT and Google’s AI returned a different brand list more than 99% of the time when the same prompt was repeated (Search Engine Journal, 2026), and Claude was only slightly more consistent, so expect your own results to differ from ours. Fourth, some answers quoted prices that firms had since changed, so freshness matters more than most buyers realise. Fifth, the assistants told buyers to ask who writes the content, ChatGPT and Perplexity both suggested asking for a 90-day plan, and several warned against anyone guaranteeing citations, which is where the five questions above come from.

One point of transparency: one Perplexity session carried a saved profile and one ChatGPT answer used the tester’s location, so we report patterns rather than positions. “Named” means the agency appeared in the answer text; it does not mean the assistant linked to or cited the agency’s own website. We will repeat the test each quarter and publish what changed.

How we compiled this list of UK content and AEO agencies

We included a firm if it is based in the UK or has a UK office selling to UK businesses, if it sells content writing, answer engine optimisation or both to B2B companies, and if its own website gives enough detail for us to describe it fairly. We left out SEO, PPC and PR firms with no content or AEO offer, agencies mainly serving consumer or e-commerce brands, AI writing tools, firms whose own site shows no UK base, and firms that no longer sell an agency service. Several agencies the assistants named fell at one of those tests and are named in the AI and sector sections instead.

Every price comes from the firm’s own website, last checked on 22 October 2026; where a firm gives no price, we say so and note how it says it prices. We did not use third-party price estimates. Within each group firms are listed alphabetically. Nobody paid to be listed, nobody is ranked, and we did not ask any firm for input before publishing. A ranking would need a judgement we cannot make from a website alone, so we have not attempted one.

Spotted an error in your listing? Email hello@contentifai.agency. We aim to correct any error within five working days, and we recheck every listing each quarter; the next full pass is in January 2027.

Where this leaves your agency shortlist

This page compared 37 UK agencies on the same six fields, grouped them by the job you need done, set out what each level of monthly spend buys, and reported what four AI assistants recommended on one day in October 2026. Prices and offers change fast, and several moved while we were checking, so confirm any figure on the firm’s own site before you decide. If you would like a second opinion on a shortlist, or want to know whether your own website is ready for AI search, request our complimentary AI readiness check (it runs until 27 November 2026) or see our services and prices.

Frequently asked questions about UK content and AEO agencies

These are the questions buyers most often put to us, and to the AI assistants, when choosing between a content agency and an AEO agency.

How much does an AEO agency cost in the UK?

Published UK prices on 22 October 2026 ran from £149 a month for monitoring alone to £12,950 a month for a top-tier programme. Tracking starts at £149 to £595 a month; search and AEO retainers that include some content run from £500 to about £1,500; content and AI visibility programmes from £440 to several thousand a month; one-off AI readiness and AEO audits from £500 to £2,950. More than half of the 37 agencies we checked publish no price for this work at all.

Should I spend £1,000 a month on Google Ads or content marketing?

Spend on ads if you need enquiries this month and can keep paying; paid leads largely stop when the spending does. Spend on content if you want enquiries that keep coming after the work is paid for and want AI assistants to quote you. Many firms run both, with ads carrying the short term while content builds. ChatGPT ads are now live in the UK, but OpenAI says they do not influence answers, so being quoted still depends on what you publish.

What is the difference between AI visibility tracking and AEO content?

Tracking tells you whether ChatGPT, Perplexity and Google’s AI answers mention you, usually through software and a monthly report. AEO content is the writing and page work that gives those assistants something worth quoting: answer-first pages, named experts, clear structure and sources. Tracking shows where you stand; content and page work are how you improve it. Most buyers need a little of the first and a lot of the second.

Do I need an AEO agency or a content agency?

If you already have writers and need the technical side done, an AEO specialist fits. If you have nobody writing from your expertise, start with content, because until it exists there is little on your own site for an assistant to quote. If you want one team for both, choose from the content and AI visibility group above and ask how they split the work.

Because they assemble each answer afresh from whatever sources they retrieve, and small changes in wording, location or a saved profile change the sources. A SparkToro and Gumshoe.ai study of 2,961 prompts found ChatGPT and Google’s AI returned the same brand list less than 1% of the time. Treat any single AI answer as one opinion, ask twice, and look at who the sources are.

How do I get a listing added or corrected?

Email hello@contentifai.agency with the firm’s name, website and what needs changing. We aim to correct any error within five working days. To be added, a firm needs a UK base shown on its own site, a content or AEO service sold to B2B companies, and enough on the site for us to describe it fairly; we add new firms at each quarterly refresh.

29/10/2026

Your Social Following Won’t Make You AI-Visible
LinkedIn is now one of the sources AI assistants cite most often for business questions, yet the research on who gets cited points away from follower counts and towards what you publish and where it lives.
If you have spent the past year building a LinkedIn audience, it is natural to assume ChatGPT and Google’s AI Overviews will notice. Some of that effort does reach AI answers, though not through the number under your name: recent research found that around half of the LinkedIn creators cited by AI tools for B2B questions had fewer than 10,000 followers, and that likes and comments showed no meaningful link with how often content was cited. This post covers what AI tools take from social platforms, why your website should still sit at the centre of your social media and AI visibility, and how to plan one idea so it works in both places.
After reading, try picking your best-performing LinkedIn post from the last quarter and asking whether a stranger could find the same answer on your website.
Table of Contents
What AI assistants cite from LinkedIn
Start with the good news for anyone who posts regularly: LinkedIn content gets cited, and often. Meltwater’s research, carried out with LinkedIn, tested B2B prompts across six AI platforms including ChatGPT, Google AI Mode and Claude, and across 9.5 million citations found LinkedIn was the second most-cited source after YouTube (Meltwater, 2026).
Three-quarters of those LinkedIn citations came from individual members rather than company pages, and 51% of the cited creators had fewer than 10,000 followers. Meltwater’s own conclusion is that AI visibility is “driven more by relevance and clarity than popularity” (Meltwater, 2026). For a B2B firm, the practical reading is that your senior experts should publish under their own names as well as through the company page, with something worth quoting rather than reposted announcements.
Why likes and follower counts don’t predict AI citations
Engagement figures measure how a post performed in the feed, for the people who saw it that week. An AI tool is looking for a clear, self-contained answer to a question someone asks months later, so the two tests produce different winners.
OtterlyAI’s analysis of 1.3 million AI citations of LinkedIn content, collected between 1 January and 1 June 2026, found no meaningful link between a post’s likes or comments and how often AI tools cited it, with correlations of -0.06 and -0.04 (OtterlyAI, 2026). The study only looked at content AI tools had already cited, so it describes a pattern rather than a cause. Long-form LinkedIn articles took 72% of the citations in that dataset, although Meltwater, counting differently, found text posts cited most, so the safer reading is that clarity matters more than format.
The wider web points the same way. Ahrefs studied 75,000 brands across ChatGPT, Google AI Mode and AI Overviews and found that mentions of a brand on YouTube and across the web correlated with AI visibility far more closely than backlinks or Domain Rating (Ahrefs, 2025). Ahrefs did not measure followers, and correlation is not cause, but the direction matches the case we made in Famous isn’t found: brands that are discussed and useful tend to be the ones AI tools mention.
Your website is the platform you own
On your website you own the playground and make the rules: you decide what is published, how it is structured, where it sits and how long it stays there. AI tools take no interest in who owns a page, but clear structure, permanent addresses and full context are what they can read and quote, and those are far easier to keep on your own site than in a social feed. On LinkedIn, Facebook or Instagram you play by the platform’s rules and at the mercy of its algorithm. Google sets rules for websites too, but search is only one route to your site, whereas a social platform controls who sees what you post there. The longer your audience, archive and systems live on someone else’s service, the harder they are to move.
Some businesses are social media businesses in practice, and a simple brochure site may be enough for them. For most B2B firms that is unlikely, because a LinkedIn following does not turn into website visits, enquiries or sales on its own. If you are highly active on social media, build your website into the plan and publish your best thinking there, where prospects, search engines and AI tools can all find it.
Turning a large social following into a website that sells. One client came to us with a very large following on Facebook and Instagram, a website, and a separate third-party platform handling their sales. We put it to them directly: the website was doing little that their social channels and sales platform were not already doing, and they could choose to run as a social-first business. They chose to keep it, so we used content to make the website the centre of the brand and a working part of the sales funnel, then began moving payments and customer accounts onto the site. It took time and careful planning. Social media is still where much of their visibility and engagement happens, but the sales now live on the website, which is where the client wanted them.
Followers build brand equity, but owned content earns citations
Most marketers will recognise the know, like, trust sequence. We describe the same three stages as brand equity, user engagement and client acquisition, and followers serve the first stage well. If brand equity is your goal, a bigger following helps. If you need enquiries, there is a gap between followers and sales that posting more will not close on its own.
Posting more often keeps you in front of people, which matters for firms whose sectors run on seasonal or time-sensitive moments. Before you increase the volume, ask why you are posting more, then take your last ten posts and count how many answer a question a buyer would type into ChatGPT. If the answer is two or three, publish those properly on your website before you double how often you post.
Want your best thinking published where AI tools look for it?
Publish is our monthly blog content service: two researched, human-written articles a month, built from your own expertise and published on your own website, ready to cut into LinkedIn posts and newsletters. From £440 a month on a 28-day rolling agreement.
How to make one idea work on LinkedIn and your website
The usual question is how to get LinkedIn posts onto the website. A better one is what you want to be known for, and where each version of it should live. Plan the content first and the distribution second.
1. Choose the theme before the channel. Pick one topic from your content plan that buyers ask about and you can speak on with authority.
2. Give it a permanent home on your website. Write the long-form version first, answering the question in the opening lines and naming the author. Our guide to writing so AI can quote you covers how.
3. Cut it into versions for each channel. One theme can become a run of LinkedIn posts on personal and company pages, a newsletter issue, a downloadable guide or a sales webinar, each pointing back to the article.
4. Get it talked about beyond your own channels. Mentions across the web and on YouTube are the signals most closely linked with AI visibility in the Ahrefs data, and relying on any single source or platform is a weak plan.
Social media and AI visibility: where your following fits
You have seen what AI tools take from LinkedIn (specific published content, often from creators with modest followings), why likes and comments showed no meaningful link with citations, and why the version on your own website is the one you control. Your following builds familiarity, while the content you own is what gets found and quoted. If the wider topic is new to you, our plain-English guide to AEO is the place to start.
The way AI tools choose sources is changing month to month, so treat these figures as a snapshot and the principle as the durable part.
If you would like help, whether that is writing the articles that earn citations, measuring how AI tools treat your site each month, or an AI readiness check to see where you stand today, get in touch and we will talk it through.
Frequently asked questions about social media and AI visibility
The questions B2B owners and marketers ask us most about social media and AI search.
Does social media help AI visibility?
It can, though not through follower numbers. AI tools cite social platforms, LinkedIn and YouTube especially, but the citations go to specific published content, including content from creators with small audiences. In OtterlyAI’s study of 1.3 million citations, likes and comments showed no meaningful link with how often content was cited. Your website remains the source you control.

Does LinkedIn content get cited by ChatGPT and other AI tools?
Yes. Meltwater’s 2026 study of B2B prompts, covering 9.5 million AI citations, found LinkedIn was the second most-cited source after YouTube, with three-quarters of LinkedIn citations going to individual members rather than company pages. Studies differ on whether posts or long-form articles are cited most, which suggests clarity matters more than format.

Do more LinkedIn followers mean more AI citations?
Not on the evidence so far. In Meltwater’s study of B2B prompts, 51% of cited LinkedIn creators had fewer than 10,000 followers, and OtterlyAI found no meaningful link between likes or comments and citations. Clear, specific, self-contained content matters more than audience size.

Should I publish on LinkedIn or on my website first?
Publish the full version on your website first, where you own it and search engines and AI tools can find it under your name. Then adapt it for LinkedIn as posts or an article, pointing back to the original, so one piece of thinking works in both places.
27/10/2026
How to Track AI Traffic on Your Website (and What the Numbers Can’t Tell You)
The question we are asked most about AI search has changed. A year ago it was “is AI reading my site?” Now it is “how do I know, and how do I track it?” Here is how to track AI traffic in the tools you already use, the order to set them up in, and the three things the numbers still cannot tell you.
Table of Contents
The AI traffic question has moved from “if” to “how”
Clients have been asking us some version of this for about a year, and the wording has shifted from a yes-or-no question to a measurement one: where do I look, what counts, and is any of it worth my time? That is a healthy shift, because it means AI search has become a channel people want in the monthly report, next to organic, paid and referral.
This post is the practical companion to our plain-English guide to AEO, which explains why being chosen by an AI tool is a different job from ranking in a search engine. It sits alongside our piece on how AI crawlers read your website, which covers the bots. Here we are interested in the person on the other end of the AI tool, and whether you can see them arrive.
First, an honest word about proportion
For almost every website we look at, AI-assistant traffic is still a small slice of the whole. If you run ads, or have a strong organic or social presence, sessions that begin in ChatGPT or Perplexity will sit low in your channel report, and some owners are rightly unbothered by them. The clients who care are the ones looking for a new channel, or who have watched organic soften and want to know where the readers went. For them, small and growing is exactly the pattern worth tracking early.
What AI traffic looks like on a small B2B site. In the twelve months to September 2026, 111 of the 1,389 sessions on contentifai.agency arrived from an AI assistant: about one in twelve, or nine a month. ChatGPT sent the most, then Perplexity and Gemini, with a handful from Claude. Around half were engaged sessions. Nobody would build a forecast on nine visits a month, and we don’t. We watch the share.
The word “sessions” is doing careful work in that box, because most of what AI companies do to a website involves no person at all. Cloudflare’s analysis of AI bot activity across its network found that training accounted for nearly 80% of AI crawling by July 2025, with search indexing at about 17% and user-triggered requests at roughly 3% (Cloudflare, 2025). The traffic you can see in analytics is that last, thin category: a person asked a question, the tool fetched or cited your page, and the person clicked. Everything else is machines reading, and that belongs to the crawler conversation rather than this one.
How to track AI traffic: four places to look, in order
Back in 2025 our answer to “can this be tracked?” was yes, with some work, and a prediction that the big platforms would bring it in-house once they had settled the data streams and the privacy questions. They have done exactly that. The setup below uses tools most B2B sites already have, starting with the one that needs no configuration at all.
1. Google Analytics 4: the AI Assistant channel
Since 13 May 2026, GA4 has sorted visits from recognised AI tools into their own channel. Google’s release notes describe a new AI Assistant channel in the default channel group reports, with the medium set to “ai-assistant” automatically (Google, 2026). Open Reports, then Acquisition, then Traffic acquisition, and it sits alongside Organic Search and Referral. Our own site started showing it in June.
There are three things worth knowing before you rely on it. It applies from that date forward only, so your history is not reclassified. It depends on the AI tool passing a referrer, which the mobile apps often strip, so some visits still land in Direct. And smaller or newer tools may not be on Google’s list yet. For anything before May, or for a tool Google has missed, filter the session source for chatgpt.com, perplexity.ai, gemini.google.com, claude.ai and copilot.microsoft.com. A saved exploration takes ten minutes and gives you the back history the new channel lacks.
2. Search Console: the generative AI performance report
Clicks from Google’s AI Overviews and AI Mode arrive in GA4 looking like ordinary Google search visits, so analytics cannot tell you how often Google’s own AI used your pages. Search Console now can, up to a point. The generative AI performance report shows how many times links to your site appeared in AI Overviews and AI Mode, by page, country, device and date, and Google rolled it out to every property worldwide on 31 August 2026 (Google, 2026). You will find it under Performance.
Read the limits before you read the numbers. The report gives impressions only, with no queries, no clicks and no position. An impression means a link to your page was shown inside an AI answer; it says nothing about whether anyone read it or acted on it. Treat it as a presence measure, useful for seeing which pages Google’s AI draws on, and leave it there.
3. Server or CDN logs: which bots, and why they came
Analytics counts people, whereas logs count requests, and the logs are where you see which AI companies are reading your site and why. The major providers publish separate user agents for training crawlers, search-index crawlers and fetches made for a live user, and a CDN such as Cloudflare groups them for you. This is the view that answers “is AI reading my site?” rather than “is AI sending me anyone?”, and a quarterly look is enough. Our AI crawlers post covers the named bots.
4. Ask people: the attribution you control
Every method above depends on a referrer surviving the journey, and many will not. The one source you control is the person. Add “an AI assistant (ChatGPT, Gemini, Perplexity or similar)” as an option to every “how did you hear about us?” field you have: the contact form, the discovery call notes, the onboarding questionnaire. Ask at the first opportunity rather than waiting until someone has become a paying client, because the enquiry that never converts still tells you the channel is working. Over a year this plain question gives you a cleaner picture than any dashboard.
What the numbers can’t tell you
Here is the part the vendors selling “AI visibility scores” tend to skip. With the four sources running, you will know that AI tools read your site and roughly how many people they send. You will still be missing three things, and no tool on the market reliably fills the gap.
What the person asked. Search Console’s AI report holds back the queries, and GA4 never had them. You can see that someone came from ChatGPT; you cannot see whether they asked “best content agencies in the North East” or “is schema markup worth it”, which are very different visits.
What the tool said about you. An impression or a referral tells you a link was shown. It does not tell you whether the answer was accurate, whether you were the recommendation or the fourth name in a list of six, or whether the tool used your page to corroborate a fact in an answer about something unrelated to your services. Being a credible reference is good for you, but it is not the same as being chosen.
What happened next. The jump from “read an AI answer” to “became a client” is the one every marketer wants to measure, and it is still invisible. Appearing in AI search is not the same as being recommended by AI search, and being recommended is not the same as being bought from.
This is why we do not hand clients an ROI formula for AI search. There is not an honest one yet. What we can say is simpler: if your buyers are asking AI tools questions in your category, you will want to be in the answers, and the sensible measure for now is whether your share of that channel is growing month on month.
Want this measured for you each month?
Measure is our monthly AI visibility and web performance report: we review your Google Analytics, Search Console and presence in AI answers, explain what changed in plain English, and give you three prioritised recommendations. From £200 a month on a 28-day rolling agreement.
If you are doing it yourself: the four mistakes to avoid
Plenty of businesses will want to run this in-house, and that is a perfectly good choice when someone has the time to look at the numbers each month. If that is you, the setup above will take an afternoon. The harder part is reading the results without fooling yourself, and over the past year we have watched the same four mistakes make AI traffic look bigger, or smaller, than it is.
- Counting crawler hits as visitors. Server logs record every request a bot makes, so a single training crawl can look like hundreds of “AI visits” if it is added to the analytics total.
- Reading Search Console AI impressions as clicks. The report contains no clicks, so an impression count is a presence figure and nothing more.
- Waiting until the channel is big enough to matter before tracking it. Leave it until then and you will have no baseline to compare against when it does matter.
- Relying on GA4 alone. The referrer is the most fragile link in the chain, and a form field would have caught what analytics dropped.
Avoid those four and the numbers you collect will be modest but trustworthy, which is the right footing for a channel still finding its size.
What to put in your own monthly report
Once the tracking is in place, the question becomes what to look at each month. Our advice is to keep it to five lines, whether that report is something you write for yourself or something you ask an agency to produce for you.
1. Share of sessions from the AI Assistant channel, and whether it is rising or falling.
2. Engaged-session rate for that channel against organic, because a small channel that engages well is worth more than its size suggests.
3. AI impressions by page in Search Console, to see which content Google’s AI is drawing on.
4. The count of “AI assistant” answers on your forms, your one source that does not depend on a referrer.
5. The pages AI tools are citing, which tells you what to write more of.
That last line is where measurement connects back to the work. Tracking is the easy part now that Google has built most of it. What earns the citations is still the content: specific, useful, written so a machine can quote it, on a site the crawlers can read. Measurement tells you whether that work is paying off, and it cannot do the work for you.
A moving target, and a conversation if you want one
What you have just read is the state of AI traffic tracking as we see it in autumn 2026: four sources, three blind spots, and a share worth watching rather than a number worth forecasting. The tools are changing quickly, and by the time you read this some of the detail may have moved again, so treat the method as the durable part and the menu paths as the bit to check.
If you would like help with any of it, whether that is writing the content that earns the citations, measuring what the AI tools are doing with your site each month, or a complimentary AI readiness check to see where you stand today, get in touch and we will talk it through.
Frequently asked questions about tracking AI traffic
The questions owners and marketing managers ask us most about measuring AI search.
How do I see AI traffic in Google Analytics 4?
Open Reports, then Acquisition, then Traffic acquisition, and look for the AI Assistant channel. GA4 has assigned it automatically since 13 May 2026 for recognised tools such as ChatGPT, Gemini and Claude. For earlier data, filter the session source for chatgpt.com, perplexity.ai, gemini.google.com and claude.ai.

Does Search Console show AI Overviews and AI Mode traffic?
It shows part of the picture. The generative AI performance report, available to all sites since 31 August 2026, shows how often links to your pages appeared in AI Overviews and AI Mode, by page, country, device and date. It does not show queries, clicks or position.

Why does my AI traffic look small?
For most sites it is small. The large majority of AI activity on a website is crawling for training or indexing rather than people visiting, and sessions that begin in an AI tool are usually a small share of the total, growing from a low base. Track the share and its direction rather than the raw number.

Can I tell what people asked the AI before visiting my site?
Neither GA4 nor Search Console passes the question through. The closest substitutes are long, question-shaped queries in your standard Search Console report, the questions prospects raise on calls, and a “how did you hear about us?” field with an AI option.

Is there an ROI formula for AI search traffic?
There is no honest one yet. You can measure sessions, engagement and self-reported attribution, but not what the tool said about you or what the person did after reading it. The practical measure for now is whether your share of the channel is growing and whether the people it sends engage and enquire.

What is the difference between an AI crawler visit and AI traffic?
A crawler visit is a machine fetching your pages to train a model or build an index; it shows in server logs and never in analytics. AI traffic is a person who asked an AI tool a question and clicked through to your site; it shows in GA4 as a session with an AI referrer. The first vastly outnumbers the second.
01/10/2026
Famous Isn’t Found: Why Brand Size Doesn’t Decide AI Visibility
Big brands do not automatically win AI search. The models deciding which businesses get mentioned reward being talked about, useful and specific, not being widely recognised. Here is why that gap exists, what it means for a focused B2B SMB, and how to show up in AI search before anyone knows your name.
Table of Contents
Being known and being found are different jobs…
There is an assumption underneath most marketing plans: the bigger and better known the brand, the more visible it must be everywhere, including in AI answers. It feels safe, yet it is an assumption neveretheless, and an often mistaken one. Reassuringly for the SMBs of the world, the gap it hides is where smaller specialists win.
Being famous means people know your name and attach it to the thing you do. That attachment is real brand power, and it takes years of spend and repetition to build. Now watch what happens the moment someone does not know your name. They ask ChatGPT, Perplexity or Google’s AI for a specialist in your field, or the best way to solve the problem you solve, and the answer is assembled from whatever the model trusts on that subject. If you are not in that answer, your fame never gets a chance to work, because the conversation ends before your name comes up.
That unbranded moment now sits inside most buying journeys. Forrester’s Buyers’ Journey research found that 94% of business buyers now use generative AI during their buying process (Forrester, 2026). The category-level question, asked by someone who has never heard of you, is where AI search does its filtering, and it is exactly where name recognition counts for least. Discovery has to come first. Fame is what you build after people can find you.
What the research shows: size does not buy citations
Kantar’s Chosen by AI research plotted brand size against share of model, the percentage of category queries in which a brand appears across AI engines, and the two did not line up. In its UK airline analysis, some of the biggest domestic names combined large brand sizes with small shares of model, while carriers far smaller in the UK market held several times their share of AI mentions (Kantar, 2026). The report’s own summary is blunt: “LLMs don’t care if you’re famous.” What they weigh is whether a brand is being talked about, useful, and matched to the specific need in the question.
Read that the right way round if you run a B2B SMB. The systems assembling answers are not tallying advertising budgets or headcount. They are looking for evidence of specific, checkable usefulness across the sources they trust. That is a contest a focused specialist can enter, and in a narrow field, win. We would make this argument from our own brand and website audit findings alone (and we do further down). Of course, it helps that someone with a far larger dataset has measured it.
The gap on our own website: known by name, invisible by category
We have lived a small version of this ourselves. When we ran an AI readiness check on our own website, the AI tools knew us by name. Ask about Contentifai directly and the answers came back accurate and reasonably complete. Ask the category question instead, the one a buyer who has never heard of us would ask, and we were (largely) absent. Known by name, invisible by category.
That is the famous-isn’t-found gap at its smallest scale, and finding it in our own results is why we take it seriously. It also revealed where the work is. Our site passed its technical checks; what the category answers drew on was third-party material we did not yet appear in. Which points to the two halves of the fix: content specific enough to be the best answer on a subject, and a footprint beyond your own site that corroborates it. Our guides to E-E-A-T and how AI crawlers read your website cover the trust and readability layers underneath both.
Why the specialist is well placed
A household-name generalist covers your subject in passing. You cover it in depth, every working day. AI systems choosing sources for a narrow question reward the second of those, because depth produces the specific, checkable, repeatedly corroborated material that makes a safe citation.
There is a timing advantage too. AI models are still settling their view of who the reliable sources are for narrower B2B subjects, and that view is being formed now, from the content and third-party evidence available. The brand that shows real depth early, in a subject that is properly its own, earns a head start in that picture, and larger competitors arriving later with broader, shallower material have to work to overturn it. Nothing about AI retrieval is permanent, but a head start compounds. Waiting for the space to mature hands it to someone else.
Across the AI readiness checks we run, the repeating pattern is: smaller, tightly focused businesses were not out-cited on their specific subject, while bigger, broader competitors show up thinly everywhere.
How to show up in AI search when nobody knows your name
The practical work follows from the mechanism, and none of it requires a big brand budget.
Claim a narrow subject and go deep. Publish useful, specific material on the thing you know best, built on first-hand work rather than aggregation. Our guide to writing content specific enough to be quoted covers what that looks like sentence by sentence.
Make the machine’s job easy. Server-readable pages, clean heading structure, schema markup, answers stated before elaboration. This is the entry ticket, and most B2B sites have gaps in it.
Build the trust file. Named authors, real credentials, consistent business facts, honest sourcing. These are the signals both Google’s raters and AI systems lean on.
Get talked about beyond your own site. A presence that exists only on your own domain is a presence the models can largely miss, because answers are assembled from a wide, scattered pool of sources, from brand sites to reviews, directories, video and third-party content (Kantar, 2026). Reviews, press, directories and named case studies all count.
Measure the stranger’s question, not your own name. Track the category queries a buyer who has never heard of you would ask, across more than one AI tool, and check who appears. A useful starting set is three questions:
1. “recommend a [your category] for a [your client type] in [your region]”
2. “who are the best [your category] for [the problem you solve]”
3. “what should I look for in a [your category]”
Brand-name queries flatter you; category queries tell you the truth.
Find out where you stand on the questions strangers ask
Our complimentary AI Readiness Check tests your visibility on category-level questions across ChatGPT, Perplexity and Google’s AI, alongside the technical and trust factors underneath, and sends back one prioritised report. To act on it, content optimisation reworks your key pages, from £220 for two pages.
Fame is the prize, not the entry ticket
None of this argues that brand building is wasted. Name recognition remains the most valuable asset in marketing, and the businesses that hold it earned it. The argument is about order. In AI search, you have to be discoverable before anyone knows your name, and the work that makes you discoverable, real depth, clear structure, earned third-party evidence, is the same work that builds a name over time. Good content is good content plain and simple. The machines have simply started paying attention to the businesses that were already doing it properly.
Where this sits in the bigger picture
This is one piece of the wider discipline of being chosen by machines and then by people, which our plain-English guide to AEO covers end to end. Two companion pieces take the argument further: why no single source or platform gets you chosen by AI, and how to write content specific enough to be quoted.
If you would rather start with evidence about your own brand, request a complimentary AI Readiness Check and we will show you how you show up on the questions that matter. To track it every month, our AI visibility and web performance report checks how ChatGPT and Google’s AI Overviews describe you, from £200 a month.
Frequently asked questions about brand size and AI visibility
The questions B2B owners and marketers ask most about this gap.
Does brand size matter in AI search?
Far less than most marketers assume. Kantar’s research plotting brand size against share of AI mentions found the two do not line up: well-known brands can hold small shares of AI visibility while smaller, more specific brands hold large ones. What counts is being talked about, useful and matched to the question.

Do big brands automatically appear more in AI answers?
No. Large brands appear often for their own names, but category-level answers are assembled from whichever sources the model trusts on that subject. A broad brand covered thinly across many subjects can lose those answers to a smaller brand with real depth in one.

Can a small business show up in AI search ahead of bigger competitors?
Yes, on the subjects it owns. AI systems reward specific, checkable, corroborated depth, which a focused specialist can build faster than a generalist. The realistic goal is not out-citing a household name everywhere; it is being the cited source for your narrow field.

Why isn’t my company showing up on ChatGPT?
Usually one of three gaps: the machine cannot read your site properly, your content is not specific enough to be the best answer to any question, or there is too little third-party material corroborating you. Testing category-level questions across several AI tools shows which gap you have.

Does domain authority decide AI visibility?
Not on its own. Traditional authority metrics still influence what gets crawled and ranked, but AI citation leans on specificity, trust signals and third-party corroboration as much as on link profiles. It is possible to be visible in AI answers without a big domain, and invisible with one.

What is share of model?
Share of model is the percentage of category-relevant queries in which a brand appears across AI-generated answers, an AI-search counterpart to share of search. It measures presence in the answers buyers see, rather than clicks or rankings.

How do I show up in AI search?
Go deep on a subject you can own outright, make your site readable to AI crawlers, name your authors and keep your facts consistent, build third-party mentions beyond your own domain, and test category-level questions across several AI tools to track progress.

Is AI SEO different for small businesses?
The mechanics are the same; the opportunity is different. Small specialists can win narrow subjects outright, which is where AI citation is decided, while enterprise programmes spread effort across broad terms. Depth on owned subjects is the small-business edge.
15/09/2026
What We Found When We Ran Our AI-Readiness Check On Our Own Website
We run AI-readiness checks for clients every week. Here is what happened when we pointed one at our own website: what we found and fixed plus the things that surprised us.
Why would we run an AI-readiness check on our own website? We spend a lot of our time telling clients to look at how AI sees their website, so it was only fair to point the same check at ourselves. We ran it against contentifai.agency to answer one question: when someone asks ChatGPT, Google’s AI Overview or Perplexity about what we do, what comes back, what is already working, and where are the specific areas we can improve.
What follows is the full result, the parts we were pleased with and the parts we have since corrected.
Table of Contents
What an AI-visibility check reveals about a brand
Known by name, but invisible by category: This is the split an AI-visibility check tends to expose. AI describes a brand accurately when you name it, yet leaves it out when a buyer asks the broader category-related questions. We were no exception.
Ask AI about Contentifai directly and the answer is accurate and fair. It describes our positioning, our founder, our sectors and where we are based, and it cites our own pages alongside reputable press and business records. Google’s AI Overview even built an unprompted, favourable table comparing us with fellow agencies.
But, ask the generic buying question instead, something like: “recommend UK B2B content marketing agencies” and we are nowhere to be seen. Ask our exact niche, “agencies that pair human writers with AI for B2B content”, and ChatGPT puts us at the top, while Google’s AI Overview still leaves us out.
That difference between the two answers is the point of the whole exercise. Being known by name is not the same as being found by category, and when a buyer asks the broad question to help them find information and answers to their challenges, the answer gets assembled from lists and sources we were not yet part of.
The technical foundations AI search rewards
What our check found is already working: We went in expecting a list of structural problems, and were pleased to find the foundations in good shape.
Our site is fully server-rendered and open to AI crawlers. Nothing meaningful is hidden behind scripts a machine cannot read, our robots file lets the AI crawlers in, and a current sitemap is declared, so the systems reading us get the real page rather than a blank one.
Our brand entity is accurate across the tools we tested. The descriptions matched who we are, which tells us the foundations, our own pages and the third-party mentions, are pulling in the same direction.
Our structured data was largely in place too: named organisation and business details, a real named author on our articles with their own author page and dates, and a full set of linked social profiles. In plain terms, the machines could tell who wrote what and who we are, without having to guess.
And there was plenty for AI to draw on. A detailed About page, a founder biography, a white paper, case studies and a steady blog gave the tools real, expertise-led material to quote, which is a large part of why the branded answers came back so well.
Having strong foundations really matters and we focus on strengthening the website fundamentals of our clients. With solid foundations, you can build a brand with confidence and knowing that the website and other digital structures won’t cause issues as the brand grows (slowing site speed, broken links, pages not loading correctly, etc.).
Brand Survival in the Age of AI: Read The Whitepaper
We set our thinking down in a white paper, Brand Survival in the Age of AI, because the question underneath this check is bigger than any single audit. As more of the web is written by machines, the brands that hold their ground will be the ones that keep a person in the loop: for the people making the content, and for the people reading it.
This is what we mean by content written by humans, for humans. Being legible to machines is how you get found, and a human deciding whether to trust you is still how you get chosen.
Download the white paper to learn more about how humans, AI, and brand values matter.
Common AEO fixes: copy, schema and llms.txt
What the check found, and what we fixed: Every website carries a list of small things to put right. Here is ours, grouped by the kind of fix each one needed.
The first group was our own copy. We keep a house list of words we prefer not to use, the tired marketing terms we strip out of client work as a matter of routine, and a few of them had settled onto our homepage and About page over time. We had let our own house get untidy while keeping everyone else’s in order, so we cleared them out. We also found a “team and culture” link that led nowhere, a placeholder that had never been finished.
The second group was the plumbing. A handful of small structured-data faults had crept in: a malformed link to our X profile, an address that did not match across pages, and two competing blocks disagreeing over who the author was. None of these matter on their own, but together they are the kind of noise that makes a machine a little less certain about you. The one we were least comfortable with was our llms.txt file returning a 404. For an agency that talks about being readable to AI, not having the very file built for that purpose was a fair thing to be caught on, and we have added one.
The third group was housekeeping. A long tail of thin tag pages had built up over the years, adding little and blurring the picture of what we cover, so we started trimming them back.
None of this was unusual. It is what a thorough check turns up on almost any site: small, specific items that are quick to put right once you can see them.
Summary of AI readiness quick-fixes we applied
1. Our own banned words on the homepage and About page
2. A placeholder link that led nowhere
3. A set of small schema faults
4. A missing llms.txt file
5. A long tail of thin tag pages
The answer engine optimisation work that comes next
What we are doing next: The fixes above were the work to do straight away. The list that follows is the slower, more deliberate programme.
Those fixes were low effort, low risk and well worth doing without delay, and most are already done. The more interesting list is the slower one, the decisions rather than the tidy-ups.
The big one is the category problem. To show up when AI answers the generic question, we need to increase our activity with third-party publications and directories, which AI answers are built from. It is not an afternoon’s work, but it is the lever that actually moves us from known by name to found by category.
Alongside that, we are verifying and standardising our core business profiles and listings so our location signals are clean and consistent everywhere they appear, and we are publishing our own answer-engine pillar pages so our content joins the unbranded results rather than only the branded ones.
These are the same two lists we hand every client: the work you action now, and the programme you commit to. Knowing which is which is half the value of the check.
Order of AI readiness fixes we actioned
1. Cross-publish in directories and listings that AI draws from
2. Standardise professional business profile listings
3. Publish brand-relevant and contextually rich answer-engine pillar pages
4. Build backlinks and PR around context and pillar pages
How we run an AI visibility check
A proper AI-visibility check reads a site the way both a person and an AI would, across several engines and signals, to find what is working and what is holding it back.
When we run a check, we put the same questions to ChatGPT, Google’s AI Overview and Perplexity, then read what each one says about the brand both by name and by category. From there we look under the bonnet at items including:
- How the site renders to a crawler,
- Whether the structured data is clean and consistent,
- Whether the files AI readers look for are in place (an llms.txt, for one),
- Who the author signals point to, and
- Which third-party sources the AI is leaning on.
A person reads the site the way a buyer would, and AI helps us test it at the scale and from the angle at which machines read the site.
The value is not in spotting a single missing tag. It is in reading all of those signals together and working out which gaps actually change whether a brand gets named, and how to prioritise the findings into actionable tasks. That is the difference between a quick look and a set of findings you can act on, and it is the part that takes practice. We run these checks often enough to know what matters on a given site and what can safely be left for now.
As the web fills with machine-written pages, being legible to the machines reading them matters more every month. 74% of newly created web pages contain AI-generated content, and a brand the machines cannot read clearly is a brand that quietly drops out of the answer. And those answers are now mainstream: around one in five Google searches returned an AI summary in 2025 and users are far less likely to click through to a website when one appears. That kind of absence is easy to miss until the enquiries thin out, which is why it pays to have a check done properly rather than guessed at.
What an AI readiness check shows you
An AI readiness check, in miniature: Here is why we ran this on ourselves, and what a check like this tends to reveal.
We ran our own method on our own site because it is the clearest way to show what these checks involve and what they bring to light (plus we found issues worth fixing). The pattern we found is the one we see most often: a brand that AI already knows and describes well, with a real opportunity to be present when buyers ask the wider question. Most of the fixes are small, a few are strategic, and all of them are easier to act on once they are written down in front of you.
Learn more and request your AI readiness check today
If you would like the same picture of your own site, visit our complimentary AI Readiness Check page to learn more and complete the short request form today. We now run this work as fixed services, including the monthly AI visibility report we use on our own site, and content optimisation to fix the gaps a check finds, from £220 for two pages.
Be contēnt with your cōntent.
Frequently asked questions
A few of the questions we are most often asked about AI readiness checks and AI visibility.
What is an AI readiness check?
An AI readiness check looks at how AI tools such as ChatGPT, Google’s AI Overview and Perplexity see your website: whether they can read it, describe your brand accurately, and include you when buyers ask. It finds the gaps and the easiest fixes, usually in under thirty minutes.

Why doesn’t my business show up when AI recommends companies in my field?
Usually because AI builds those generic recommendations from third-party round-ups and directories rather than from your own site. If your brand is not listed in the sources AI quotes, it can describe you accurately by name yet still leave you out of the category answer.

How can I check whether AI mentions my business?
Ask an AI tool about your business by name and see whether the answer is accurate, then ask the generic question a buyer would type and see whether you appear at all. The gap between those two answers shows you how much work is in front of you.

What is an llms.txt file, and do I need one?
An llms.txt file is a plain-text file at the root of your domain that gives AI tools a clear summary of your site. Adoption is still early and no major AI platform commits to reading it yet, but it is quick to add and signals that your site is built with AI readers in mind.

Is appearing in Google’s AI Overview different from appearing in ChatGPT?
Yes. The two pull from different sources and update at different speeds, so a brand can sit at the top of ChatGPT’s answer while Google’s AI Overview leaves it out. Being cited across both takes consistent entity signals and a presence in the sources each one draws on.
23/06/2026

Tag: AI visibility

UK B2B content and AEO agencies compared (2026), with prices

What £1,000 a month buys: ads, AI visibility tracking or content

What you need done: four kinds of content and AEO agency

A. Content specialists: writing is the main offer

B. Content and AI visibility together

C. AI search and AEO specialists

D. Content inside wider campaigns

Check whether your website is ready for AI search before you choose an agency

The comparison: 37 UK content and AEO agencies by what they do

A. Content specialists

B. Content and AI visibility together

C. AI search and AEO specialists

D. Content inside wider campaigns

How to choose by what you spend each month

Specialist content and AEO agencies by sector

Fintech and financial services

Professional services: law, accountancy and consultancy

Newcastle and the North East

What ChatGPT, Perplexity, Claude and Google recommended when we asked

How we compiled this list of UK content and AEO agencies

Where this leaves your agency shortlist

Frequently asked questions about UK content and AEO agencies

How much does an AEO agency cost in the UK?

Should I spend £1,000 a month on Google Ads or content marketing?

What is the difference between AI visibility tracking and AEO content?

Do I need an AEO agency or a content agency?

Why do AI assistants recommend different agencies each time I ask?

How do I get a listing added or corrected?

Your Social Following Won’t Make You AI-Visible

What AI assistants cite from LinkedIn

Why likes and follower counts don’t predict AI citations

Your website is the platform you own

Followers build brand equity, but owned content earns citations

Want your best thinking published where AI tools look for it?

How to make one idea work on LinkedIn and your website

Social media and AI visibility: where your following fits

Frequently asked questions about social media and AI visibility

How to Track AI Traffic on Your Website (and What the Numbers Can’t Tell You)

The AI traffic question has moved from “if” to “how”

First, an honest word about proportion

How to track AI traffic: four places to look, in order

1. Google Analytics 4: the AI Assistant channel

2. Search Console: the generative AI performance report

3. Server or CDN logs: which bots, and why they came

4. Ask people: the attribution you control

What the numbers can’t tell you

Want this measured for you each month?

If you are doing it yourself: the four mistakes to avoid

What to put in your own monthly report

A moving target, and a conversation if you want one

Frequently asked questions about tracking AI traffic

Famous Isn’t Found: Why Brand Size Doesn’t Decide AI Visibility

Being known and being found are different jobs…

What the research shows: size does not buy citations

The gap on our own website: known by name, invisible by category

Why the specialist is well placed

How to show up in AI search when nobody knows your name

Find out where you stand on the questions strangers ask

Fame is the prize, not the entry ticket

Where this sits in the bigger picture

Frequently asked questions about brand size and AI visibility

What We Found When We Ran Our AI-Readiness Check On Our Own Website

What an AI-visibility check reveals about a brand

The technical foundations AI search rewards

Brand Survival in the Age of AI: Read The Whitepaper

Common AEO fixes: copy, schema and llms.txt

Summary of AI readiness quick-fixes we applied

The answer engine optimisation work that comes next

Order of AI readiness fixes we actioned

How we run an AI visibility check

What an AI readiness check shows you

Learn more and request your AI readiness check today

Frequently asked questions