Which sources does ChatGPT cite when a B2B buyer asks who to hire?

A finance director asks ChatGPT which firms to talk to about an audit. A founder asks Copilot for three outbound agencies that work with software companies. Each time, the assistant replies with names, and under the names sits a short list of sources. Those sources decide who is named far more than anything a firm says about itself.

This matters because the first shortlist is now often drawn up this way. In G2's April 2026 survey of 1,076 software buyers, 51% said they now start their research in an AI chatbot, up from 29% a year earlier, and 45% said citations of review sites were the most confidence-inspiring signal in an AI answer. That survey covers software buyers, but the habit is wider: Forrester found in January 2026 that 94% of business buyers use AI somewhere in their buying process.

This guide sets out which sources the assistants cite when a business buyer asks for a supplier, what the published studies show, how Copilot differs from ChatGPT, and what a founder-led firm can do to appear in the places that count. For the wider question of getting recommended, read our guide on how to get ChatGPT to recommend your firm.

#Which websites does ChatGPT cite most for B2B supplier recommendations?

The most cited sources are reference, community and business media sites: Wikipedia, Reddit, LinkedIn, YouTube and Forbes, with review and analyst sites such as G2 and Gartner prominent on business questions. Your own website is one source among many, and usually not the one that decides whether you are named.

Profound's analysis of 680 million citations (August 2024 to June 2025) found Wikipedia was ChatGPT's most cited source at 7.8% of its citations, followed by Reddit (1.8%), Forbes (1.1%) and G2 (1.1%). A Peec AI study of 30 million sources, reported by Search Engine Land in March 2026, ranked Reddit, YouTube, LinkedIn, Wikipedia and Forbes as the top five and found Perplexity emphasised Reddit, LinkedIn and G2 for B2B questions. Muck Rack's May 2026 study of more than 25 million cited links found 84% were earned media, against 0.3% paid.

Treat the shares as direction, not a league table. The studies are mostly American, several are run by firms that sell AI tracking tools, and the mix moves from month to month.

#What percentage of B2B buyers use ChatGPT to research suppliers?

Most use an AI assistant at some stage, and around half now start there. The figures vary with who was asked.

The TrustRadius finding explains why sources matter twice: the answer starts the shortlist, then the buyer checks the sources behind it. None of these surveys is UK-only, and G2 and TrustRadius surveyed software and technology buyers, not buyers of professional services. Our guide to how AI is changing the way B2B buyers choose suppliers covers the wider shift.

#Why do supplier answers lean on other people's sources?

Because the buyer is spending the company's money and has to defend the choice, and the assistant can only back a name with something the buyer can check. What you say about yourself is a claim; what a client, a reviewer or a journalist says is evidence.

In our experience, supplier questions usually get several named firms with a condition attached to each: for mid-sized firms, this one; for a regulated sector, that one. Each condition comes from somewhere, usually a review profile, a listing, an article or a case study. If nothing outside your website says what you are good at, the assistant has no condition to attach to your name.

ID-Pal, an identity verification firm we work with, shows the gap between being known and being recommended: "Across 36 recorded AI answers to the questions ID-Pal's buyers actually ask, ID-Pal was named three times, and only for its brand or its Salesforce integration. AI knew who it was, and had no reason to recommend it."

#Do G2 or Clutch reviews help my company get recommended by ChatGPT?

Yes, if they are on the platform your buyers use and they are recent. G2 was one of ChatGPT's four most cited sources in Profound's data, Peec AI found Perplexity leaned on G2 for B2B questions, and in G2's own survey 45% of software buyers said review-site citations were the most confidence-inspiring signal in an AI answer.

That last figure comes from a review site's own research, so weigh it accordingly. Star ratings do matter for a B2B firm, as long as they sit on a platform the assistants read and your buyers recognise. Capterra, Clutch and Trustpilot were not in Profound's published top-ten lists, so the table below reflects who uses each platform rather than a citation share.

For most founder-led firms, one platform done properly beats five done thinly.

#Does Microsoft Copilot recommend suppliers differently from ChatGPT?

Copilot draws on Microsoft's Bing index, so if Bing has not indexed your pages, Copilot cannot cite them. ChatGPT search has also drawn on Bing, so the two often overlap, while Google's AI features draw on Google's index.

Copilot matters more in B2B than its public profile suggests. Forrester found business buyers four times as likely as consumers to use Copilot, and 61% of buyers use private AI tools supplied by their employer. Microsoft 365 Copilot passed 30 million paid seats in July 2026. In many companies it is the assistant IT has approved. We have not found a large published study of which sites Copilot cites, so run your own questions in it.

Whichever assistant it is, it can only cite pages its crawler can read. Our guide to how AI crawlers read your website explains what to check.

#Which assistants should a B2B firm check first?

Check ChatGPT and Google (AI Overviews and AI Mode) first, then Microsoft Copilot and Gemini, then Perplexity and Claude. ChatGPT has more than a billion weekly users (OpenAI, August 2026), Google's AI features sit in front of every search, and Copilot is what many buyers have at work.

Some advice puts Perplexity and Claude first for business research, but we have seen no evidence that business buyers favour them. Both are worth checking, after the assistants most buyers use. For how the five differ in detail, see which AI assistants buyers actually use.

#How do you find the sources that matter in your market?

Run the questions your buyers ask, in each assistant, and log every source cited. A fixed list of 20 to 50 questions, each asked several times a month in a clean session, shows the pattern; answers vary from run to run, so count a source only when it keeps appearing.

#Step 1: Write down the questions buyers actually ask

Take them from sales calls and enquiry forms, not keyword tools. "Which audit firms work with owner-managed businesses in Leeds?" is a real question; "audit services" is not.

#Step 2: Run each question in a clean session

Use a temporary or logged-out chat in ChatGPT, Copilot, Google AI Mode, Gemini and Perplexity, so your own history does not shape the answer.

#Step 3: Log every firm named and every source cited

Keep one row per question, per assistant, per run: the date, the firms named, each link shown and its type (review site, trade press, directory, forum or a firm's own site).

#Step 4: Work on the three sources that recur most

After a month, the sources that keep naming your competitors and not you are your target list. Earn a place in the top three, then run the same questions again next month.

#What should your own website say so assistants repeat it?

Say who you work with, what you do and what happened for named clients, in words an assistant can lift. Third-party sources decide whether an assistant trusts you; your own pages decide whether it describes you correctly.

The pages that get used are comparisons with the alternatives, case studies with outcomes, what working with you involves, a page for each sector you serve, and an honest account of where you do not fit. Our guide to what an article that ChatGPT quotes looks like shows the structure.

ID-Pal's rebuild shows why sector pages matter: "Five industry pages rebuilt: fund administration, wealth management, legal, accountancy and estate agency. Each opens with the question a compliance lead types, names the regulator, and answers inside the first ninety words." The result: "UK buyer questions where AI names ID-Pal: none in May, two in August, four in September 2026." The ID-Pal case study has the detail.

#Worked example: a fit statement an assistant can pass on

The most useful sentences on a B2B website say who you suit and who you do not. They give the assistant a condition it can repeat: "if you are this kind of firm, consider them".

Example: here is ours, written the way we would want an assistant to repeat it. "Fortitude Media works with founder-led B2B firms with £1m to £20m+ revenue, where the founder still decides, in professional services, technology and SaaS, fintech, recruitment, and agencies and consultancies. The buyer is a CEO or an owner, and the purchase is considered." And the other half: "If you sell to consumers, or buying decisions have passed from the founder to a marketing department, another kind of firm will suit you better."

Compare that with "we help businesses of all sizes grow", which an assistant cannot match to any buyer's question. The specific version can be matched, filters out poor fits before they call, and costs nothing to publish.

#What to do this month

1. Write a two-sentence statement of who you work with and who you do not, and put it on your homepage, your main service page and your LinkedIn company page.
2. Claim and complete your profile on the one review platform your buyers use (G2 or Capterra for software, Clutch for agencies and consultancies, Google Business Profile for everyone), then ask three recent clients for a review.
3. List 20 buyer questions and run them in ChatGPT, Copilot and Google AI Mode in a clean session, logging every source cited.
4. From that log, pick the two trade titles or directories that appear most and plan one contribution or listing in each.
5. Check in Bing Webmaster Tools that Bing has indexed your key pages, because Copilot depends on it.
6. Rewrite your best client result as a case study: sector, size, timeline, what was done and what changed, with the client's permission.

#Frequently asked questions

#Does ChatGPT cite our website when it recommends us?

Sometimes, usually for facts about what you do and who you serve. The decision to name you rests more on reviews, coverage, directories and LinkedIn. A clear website makes sure the assistant describes you correctly once it mentions you.

#Do star ratings matter for a B2B firm?

Yes, on the platforms assistants read and buyers recognise, such as G2 for software and Clutch for agencies. A few detailed, recent reviews that name the service and the result are worth more than many one-line ones.

#Should a smaller B2B firm chase analyst recognition such as Gartner?

For most founder-led firms, no. Gartner appears in Perplexity and AI Overview citations, but in TrustRadius's 2026 survey only 13% of technology buyers consulted analyst reports. Case studies, reviews and recognition from your professional body do more for the money.

#Can we pay to appear in the sources ChatGPT cites?

Paying for placement rarely helps. Muck Rack found paid and advertorial content made up 0.3% of links cited by AI tools in May 2026, against 84% for earned media.

#Does being honest about trade-offs put business buyers off?

No. Business buyers, and the assistants they use, treat stated limits as a sign of credibility. A page that says where you do not fit is more likely to be cited than one that claims to suit everyone.

#How long before new reviews or coverage change what ChatGPT says?

Assistants that search the web live (ChatGPT search, Perplexity, Copilot, Google's AI features) can reflect a new article or review within weeks. Answers drawn from a model's own memory change only when the model is retrained, which takes months.

If you want to know which sources your buyers' assistants cite today and where your firm is missing, book a free Growth Review: 30 minutes with David Adams and three fixes in writing. Earning a place in the reviews, coverage and listings that assistants rely on is the work of Reputation That Wins.

#Sources