How to get your B2B brand recommended by ChatGPT

How to get recommended by ChatGPT comes down to one job: make true, clear, checkable facts about your company easy to find. Nobody controls the answer, but you control what is out there to be read. Say what you sell plainly, publish pricing and honest comparisons, let crawlers in, earn independent reviews, and check what AI says about you every month.

Key points

• As of October 2026, G2's AI search report says 51% of B2B software buyers start research with an AI chatbot more often than Google.
• ChatGPT search can only cite pages it can reach, so allow OpenAI's search crawler and keep key facts in plain text.
• Google says there are no special optimisations needed for its AI features. Good, clear publishing is most of the work.
• Independent reviews matter: G2 found review site citations are the signal buyers trust most in an AI answer.
• The buyers you email will ask AI about you, so what they find has to match what you said.

Do B2B buyers use ChatGPT to pick vendors?

Yes, many do, at least for software. As of October 2026, G2's 2026 AI Search Insight Report says "51% of B2B software buyers start their research with an AI chatbot more often than Google."

G2 surveyed 1,076 B2B decision makers in March 2026. The findings that matter most for vendors:

G2 says AI chatbots are "the #1 source influencing which vendors make buyer shortlists," and that "ChatGPT is the dominant AI chatbot for work." Its chart puts ChatGPT's share at 62% in 2026, up from 47% in 2025. It also found "two-thirds start with category or competitor queries," which means the first question is usually "best tools for X" or "X vs Y", not your brand name.

This is G2's own survey, and G2 runs a review site, so treat it as one data point that covers software buyers only. Still, it lines up with Forrester's 2026 buying research, which says "genAI searches are the starting point for B2B buyers."

People still decide, though. Forrester says "the typical buying decision now includes 13 internal stakeholders and nine external influencers" and "human interactions remain essential, even as genAI reshapes the buying process." AI helps build the shortlist. Humans argue over it and sign.

How does ChatGPT choose which software to recommend?

ChatGPT answers from what it learned in training and, when it searches the web, from pages it can retrieve and cite. OpenAI does not publish a ranking formula, so treat anyone who claims to know one with care.

What OpenAI does publish is how its crawlers work. Its crawler overview says "OAI-SearchBot is used to surface websites in search results in ChatGPT's search features," and recommends allowing it in your robots.txt if you want to appear in those results. A separate crawler, GPTBot, is used for model training. You can block training and still allow search.

In practice, an answer that recommends vendors draws on many sources: your own pages, review sites, comparison articles, directories and discussions. That gives you three levers:

1. Be reachable. Pages that crawlers cannot fetch cannot be cited.
2. Be clear. A page that says exactly what you do and for whom is easier to summarise correctly than one full of slogans.
3. Be confirmed elsewhere. If independent sites describe you the same way your site does, the answer has more than one source to agree on.

What is GEO, and what is AEO?

They are new names for making your content usable in AI answers. The ideas overlap heavily, and so does most of the advice.

• GEO (generative engine optimisation) is the practice of improving how often and how accurately your content appears in answers from generative AI tools. The term comes from a 2023 research paper, GEO: Generative Engine Optimization, which calls it "the first novel paradigm to aid content creators in improving their content visibility in generative engine responses."
• AEO (answer engine optimisation) is writing pages so that search features and AI assistants can lift a direct answer from them: a question as the heading, a plain answer first, detail after.
• LLM SEO is the informal umbrella term for both: SEO aimed at large language model answers as well as classic search results.
• AI visibility is how often, and how accurately, AI tools mention you when buyers ask about your category.

Now the honest counterpoint. Google's guidance on AI features and your website says "there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary," and "you don't need to create new machine readable files, AI text files, or markup to appear in these features." That is about Google, not ChatGPT, but the lesson travels. GEO for B2B is mostly good publishing done consistently.

How do you track AI visibility?

Run the same set of questions through the main assistants every month and write down what comes back. Results vary between runs and tools, so look for patterns, not single answers.

Use ChatGPT, Claude, Gemini and Perplexity, and ask:

1. "What is [your company] and who is it for?"
2. "How much does [your company] cost?"
3. "Best [your category] tools for [your ideal customer]"
4. "[Your company] vs [the alternative buyers compare you with]"
5. "What are the downsides of [your company]?"

Record whether you appear, whether the facts are right, and which sources are cited. The cited sources are your to-do list: if an old listing or blog post is being quoted, fix that page.

Then watch your own numbers. Google says sites appearing in AI Overviews and AI Mode "are included in the overall search traffic" in Search Console, so they show up in your normal Web search reports. Check your analytics for visits referred from AI assistants too, and ask new leads where they first heard of you. G2's finding that 64% of buyers see inaccuracies often or very often is reason enough to check.

Do reviews affect AI answers?

Yes, they appear to, and buyers trust them. G2 reports that "45% of B2B software buyers say review site citations are the most confidence-inspiring signal in an AI answer," and that "85% think more highly of a vendor cited by AI in its answer." Remember that G2 runs a review site, so read these with that in mind.

The practical point holds either way: an AI answer that can only quote your own website is weak. Give it independent sources.

• Ask happy customers for honest reviews on independent sites. Do not script them or pay for them.
• Keep listings complete and current: directories, marketplaces, partner pages and review profiles.
• Publish proof that points somewhere: named case studies with the customer's permission, public docs, security pages and integration lists. Unnamed "leading brands" and round-number results with no context give an answer nothing solid to repeat.
• Show up where buyers talk: genuine category round-ups, podcasts, industry publications and community threads.
• Fix wrong facts wherever you find them.

What should you fix first to get recommended by ChatGPT?

Start with the basics that make every other step work. In order:

1. Let crawlers in. Check that robots.txt, your CDN and your firewall allow search crawlers, including OAI-SearchBot. Google lists "ensuring that crawling is allowed in robots.txt, and by any CDN or hosting infrastructure" among its basics.
2. Write one plain sentence about what you sell and to whom, near the top of your home page. Bad: The future of revenue, reimagined. Good: Payroll software for UK restaurants with 10 to 200 staff.
3. Use the same name, description and category everywhere: site, LinkedIn page, review profiles, directories and press kit. Mixed messages produce mixed answers.
4. Publish pricing in text. An answer to "which tools fit a £500 a month budget" can only include you if a number exists. If pricing is custom, give a starting price, what drives it, and whether there is a trial. Forrester says "more than 60% of business buyers now make use of a trial."
5. Answer real questions on their own pages. Question as heading, answer in the first two sentences. "Does it integrate with Salesforce?" deserves "Yes. It syncs contacts and deals both ways." Keep important content in text, not images.
6. Write honest comparison and use-case pages. Say who you suit and who you do not, and where an alternative may fit better. Since two-thirds of first prompts are category or competitor queries, these pages answer the questions buyers actually ask.
7. Add structured data that matches the page. Organisation markup can help machines parse you, but Google says to make sure "your structured data matches the visible text on the page."
8. Keep one source of truth. If plan names or prices differ between your pricing page, docs and old posts, expect the wrong one to be quoted. Update or retire stale pages.
9. Earn independent mentions and reviews, as above.
10. Audit monthly and fix the sources behind wrong answers.

An llms.txt file, a proposed Markdown index of your key pages, is cheap to add. Keep expectations low: it is a proposal, not a standard, and Google says you do not need AI text files for its features.

Why does this matter for outbound?

Because the buyers you email will ask AI about you, and what comes back becomes your first impression.

If your email says you help mid-sized legal teams and the AI answer calls you an enterprise tool, the mismatch costs you the reply. So make the two agree: use the same one-line description in your emails, site and profiles, and only make claims a buyer can check.

Being findable and sending email are not rival strategies. An AI answer can only shortlist vendors buyers think to ask about, or that already show up for the category. A specific email puts your name in front of the right person and gives them a reason to look you up. Being findable makes sure what they find confirms it.

For more on what makes emails worth replying to, see our cold email reply rate benchmarks and our guide to signal-based selling.

Where Outbind fits

Outbind handles the sending side. It researches each person, writes emails that cite real sources from that research, and sends from your own Gmail or Outlook. Every draft passes 35+ pre-send checks, and pricing questions, objections and anything unclear come back to you. That keeps your emails specific and checkable. Every plan has a 7-day free trial: see pricing.

FAQ

Can anyone guarantee a ChatGPT recommendation?

No. Answers change between tools, models and even repeated questions, so be wary of anyone who promises placement. What you can do is make accurate information about you easy to reach, read and confirm.

Do I need an llms.txt file?

It is optional. It is a proposal rather than a standard, and Google says you do not need AI text files to appear in its AI features. Fix crawling, clarity and reviews first.

Should I block GPTBot?

That is a choice about model training. OpenAI's crawler page says GPTBot is used for training and OAI-SearchBot for search results, so you can block GPTBot and still allow OAI-SearchBot if you want to appear in ChatGPT search.

How long does it take to show up in AI answers?

There is no published timeline. Search-based answers can pick up a crawlable page fairly quickly, while what a model learned in training changes only when it is retrained, so audit monthly and judge by trends.

Sources

• G2: The Answer Economy: G2's 2026 AI Search Insight Report
• Forrester: Forrester's 2026 Buyer Insights: GenAI Is Upending B2B Buying
• Google Search Central: AI features and your website
• OpenAI: Overview of OpenAI Crawlers
• arXiv: GEO: Generative Engine Optimization
• llmstxt.org: The /llms.txt file