How to Get Recommended by ChatGPT When Buyers Ask Who to Hire
To get recommended by ChatGPT, a company needs proof beyond its own website. ChatGPT tends to name companies that independent sources confirm: client reviews, industry lists, news coverage, and awards. Your website tells AI what you do; third-party proof shows you’re worth recommending.
That matters because shortlists now often start in a chat window. In G2's Answer Economy report, 51% of B2B software buyers said they start research in an AI chatbot more often than in Google. ChatGPT was the chatbot they used most for work.
This guide is for marketing and digital leaders whose organizations get picked from a shortlist. I track Vardot's own AI visibility, so Vardot is the worked example.
Key Takeaways
- ChatGPT tends to recommend companies that independent sources confirm, not only those with strong websites.
- Most proof that gets you recommended lives on other organizations’ sites, so it needs owners beyond marketing.
- AI recommendation lists change from one answer to the next, so track how often you appear across many answers.
- Vardot's third-party proof includes a 4.9 out of 5 Clutch rating across 60 verified reviews and Drupal Diamond Certified Partner status.
What Decides Whether ChatGPT Recommends Your Company?
ChatGPT tends to recommend companies it can find and confirm. Your website tells it what you do, while reviews, news, industry lists, and awards tell it whether you're credible. Third-party proof is anything said about you on a site you don't control.
ChatGPT builds many answers from live web results. OpenAI's help article on ChatGPT search says it may share search queries with outside providers such as Bing. What the open web says about you shapes what ChatGPT says about you.
AI search also leans on independent sources more than Google does. In a University of Toronto preprint on AI search citations, about 73% of the sources a GPT-based search tool cited for US software questions were third-party sites. Google's results came in at about 45%.
Brand mentions matter too. In an Ahrefs study of 75,000 brands, brands mentioned more often across the web appeared more often in AI answers, while backlinks showed only a weak link. Ahrefs notes this is correlation, not proof of cause.
How Do B2B Buyers Use ChatGPT to Build a Shortlist?
B2B software buyers rank AI chatbots as the top source shaping their shortlists, but they still check the answers. In G2's Answer Economy report (PDF), a March 2026 survey of 1,076 B2B decision-makers, 69% said a chatbot led them to a different vendor than they first planned.
Nearly two-thirds of those buyers (64%) see AI mistakes at least a few times a month, and most turn to peer reviews when an answer misses or misstates a brand they know. G2 runs a software review site and surveyed software buyers, so people hiring a services firm may behave differently.
Why Isn't Great Content Enough to Get Recommended by ChatGPT?
Great content is necessary, but it can only make claims about you. A buyer who asks ChatGPT "Who should I hire?" wants a judgment, and AI tools look for it in other people's words: reviews, rankings, coverage, and awards.
Google takes a similar line for its own AI features. Its guide to generative AI features in Search, published May 15, 2026, favors original, first-hand content and warns that chasing inauthentic "mentions" does little good. The guide covers Google Search only.
AI recommendations also shift between answers. In a SparkToro and Gumshoe study, volunteers ran the same prompts through ChatGPT, Claude, and Google's AI nearly 3,000 times. The odds of getting the same list of brands twice were under 1 in 100.
A single screenshot of an AI answer proves little. The useful measure is how often you appear across many answers over time.
Should You Publish Your Own "Best Agencies" List?
A self-published "best" list can get cited, but it won't build trust the way earned proof does. Earned proof is recognition someone else grants or confirms: reviews, awards, partner tiers, and public contribution.
In Ahrefs' study of "best" lists in ChatGPT answers, "best X" blog lists made up 43.8% of cited pages, and some were written by the vendors they rank. A recommended agency's own list was cited in 17.2% of agency prompts. Ahrefs concludes agencies should publish these lists, but a buyer who clicks the source sees a vendor ranking itself first.
Self-published lists vs. earned proof
Factor | Self-published "best" list | Earned proof |
|---|---|---|
Speed | Fast | Slow |
Control | Full | Limited |
Effort | Writing time | Client outreach, award entries, contribution hours |
What a buyer sees | A vendor ranking itself | Others vouching for you |
Earned proof takes sustained effort. At Vardot, one developer works full-time on the Drupal AI Initiative, 40 hours a week.
ChatGPT Recommends What It Can Corroborate
Where we land: getting recommended by AI is a corroboration problem, not a content problem. Corroboration means several independent sources confirming the same facts about what you do and how well. Your website can make the claim, but only other people can confirm it.
Corroboration also changes who owns AI visibility. Client reviews depend on delivery teams, awards and partner tiers on leadership, and public contribution on engineering. Marketing's job is to make sure that proof is public, consistent, and easy for AI tools and buyers to find.
Where Does Vardot's Third-Party Proof Come From?
Vardot's proof falls into five source types, and four of them live mostly on other organizations' websites.
Vardot's third-party proof, by source type
Proof type | What it tells AI and buyers | Vardot example |
|---|---|---|
Client reviews | Clients would hire you again | 4.9 out of 5 across 60 verified reviews on Clutch |
Independent awards | Someone outside judged your work | Clutch Global Summer 2026, Drupal development; Best Website, Healthcare, International Splash Awards 2026 |
Certification and partner tiers | A governing body checked your record | |
You improve your field, not just sell into it | Gold Sponsor of the Drupal AI Initiative; maintains Varbase, an open-source Drupal distribution | |
Owned content | What you do and for whom | Service pages, case studies, and this blog |
Proof on other organizations' sites carries weight because Vardot can't write it, and a website project alone can't create it.
How Can You Tell If Your Company Is Ready to Be Recommended?
Six yes-or-no questions show where you stand. Answer them with what you already know about your organization.
Six-question AI recommendation readiness check
- ChatGPT can reach your site. You haven't blocked OAI-SearchBot, OpenAI's search crawler, and your main pages show their text without a login.
- Your site says what you do, for whom, and where. A buyer could repeat it in one sentence after reading your home page.
- Clients review you where your buyers look. That might be Clutch for services or G2 for software, and the reviews are recent.
- Independent sites name you in your category. Industry lists, news stories, partner directories, and event pages mention you.
- A third party has judged your work. You hold an award, a certification, or a partner tier that someone else grants.
- Your facts match everywhere. Your name, services, locations, and numbers read the same on your site, LinkedIn, and review profiles.
What your answers mean
- No to question 1 or 2: start there. Both fixes sit fully in your control.
- Yes to 1 and 2, no to most of 3 through 6: more blog posts won't close the gap. It needs owners beyond marketing.
- Yes to most of the six: start measuring. Run a fixed set of buyer questions every month and count how often you appear.
How Can Vardot Help You Get Recommended by ChatGPT?
Vardot sells AI discoverability work, so weigh this advice with that in mind. The readiness check works without us.
For an outside view, Vardot's AI discoverability team measures how often ChatGPT, Perplexity, Gemini, and Google AI Overviews cite your organization, whether what they say is accurate, and which third-party sources you're missing.