A procurement lead types "best ERP systems for a 200-person manufacturer with multiple warehouses" into ChatGPT. Thirty seconds later she has five names, a sentence on each and a few caveats. By the time your sales team hears from her, the shortlist is already written. If your company was not in that answer, you may never know the deal existed.
That is the reality of B2B AI search in 2026. Buying committees still read review sites, talk to peers and run trials, but more of the early sorting now happens inside AI assistants. Those tools build their answers from what the web says about you, not just from what your website says.
This guide explains how buyers use AI tools across the purchase journey, what the research shows, and a practical process for getting your company named, described accurately and recommended for the right use cases.
Key Takeaways
- AI assistants increasingly shape B2B vendor shortlists before sales conversations start.
- Each member of the buying committee asks different questions, so map prompts by role, not just by keyword.
- Third-party evidence such as review platforms, analyst notes, press and community discussion strongly influences which vendors get named.
- Clear, specific facts on your own site (use cases, integrations, security, pricing model) reduce the chance of being described wrongly or filtered out.
- Measure share of answers and accuracy across prompts, then track the pipeline effect in your CRM.
What the Research Says About B2B Buyers and AI
Two large surveys give a useful picture. G2's 2025 buyer behaviour research, based on 1,169 B2B decision-makers surveyed in April 2025, found that nearly 8 in 10 respondents said AI search has changed how they conduct research, and 29% said they start research via platforms like ChatGPT more often than Google. G2 also reported that about 1 in 10 buyers skip the shortlist and put a single vendor forward for approval.
Forrester's State of Business Buying, 2026, as reported by Digital Commerce 360, found that generative AI tools were the most cited interaction type for researching purchases in its 2025 survey. It also found that 36% of buyers said generative AI helped them make a better-informed decision, while 20% said it made them less confident because of unreliable or inaccurate information. Purchases involving generative AI features had buying groups twice the size of those without.
The takeaway: AI is a major research channel, but buyers also check its work. You need to appear in the answers and be described accurately enough that the answer survives scrutiny.
How AI Shortlists Form
When a buyer asks an assistant for vendor suggestions, tools with web access typically run several searches, read a set of pages and summarise them. Google describes this approach in AI Mode as issuing multiple related searches across subtopics. Our guide to how AI chooses its sources explains the mechanics. In practice, the pages most likely to be read for B2B queries are:
- "Best [category] software" and "[Competitor] alternatives" roundups
- Review platforms such as G2, Capterra and TrustRadius
- Vendor pages that clearly state use cases, integrations and pricing models
- Industry publications, analyst summaries and press coverage
- Community discussions on Reddit, LinkedIn and specialist forums
That is why we see so many brands cited through third-party sites rather than their own. Ahrefs' study of 75,000 brands found branded web mentions correlated more strongly (0.664) with AI Overview brand visibility than backlinks (0.218) or Domain Rating (0.326).
Map Prompts to Your Buying Committee
A typical B2B purchase involves many people. Forrester's report put the average at 13 internal stakeholders and 9 external participants. Each asks AI different questions, and each answer can add or remove you from consideration.
| Role | Example prompt | Content that answers it |
|---|---|---|
| Economic buyer (CFO, owner) | "What does [category] software typically cost for a mid-sized company?" | Pricing model page, total cost of ownership guide |
| Champion / user lead | "Best [category] tools for [industry] teams" | Industry use-case pages, customer stories with specifics |
| IT and security | "Does [Vendor] support SSO and SOC 2?" | Security and compliance page, trust centre |
| Operations | "Does [Vendor] integrate with NetSuite?" | Integration directory with one page per integration |
| Procurement | "[Vendor A] vs [Vendor B] contract terms and support" | Honest comparison pages, support and SLA details |
| Executive sponsor | "Is [Vendor] a reliable long-term partner?" | About page, funding or ownership facts, press coverage |
Use our guide to category entry points to find the buying situations behind these prompts, then phrase each prompt the way buyers actually talk.
A Step-by-Step Plan to Make the Shortlist
- Build a prompt set. Write 20 to 40 prompts across roles and stages: problem, category, comparison, alternatives and risk. Include industry and company-size modifiers your buyers use.
- Benchmark. Run the prompts in ChatGPT, Google AI Mode and AI Overviews, Copilot, Perplexity and Claude. Record whether you are named, how you are described and which sources are cited. Our guide to tracking AI brand visibility covers tooling.
- Fix accuracy first. If assistants misstate your features, pricing model or target market, follow our process to fix wrong brand information in AI before chasing more mentions.
- Publish decision-stage pages. Create clear pages for each use case, industry, integration, security standard and competitor comparison. Lead each section with a direct, standalone answer.
- Strengthen review profiles. Ask happy customers for detailed reviews on the platforms your buyers use, and keep your profile descriptions consistent with your site.
- Earn independent coverage. Pitch data, expert commentary and customer stories to trade publications. See our guide to digital PR for AI visibility.
- Get on the roundups AI already reads. Identify the "best of" lists cited in your benchmark and work with their editors. Our guide on getting on best-of lists explains the approach.
- Close the loop with sales. Add "AI assistant" as a source option on forms and ask in discovery calls which tools buyers used.
Write Content That Holds Up Under Scrutiny
B2B buyers check AI claims against vendor pages and peer opinion. Content that is specific, sourced and honest about limits travels further. Google's guidance on helpful content puts it simply:
“Of these aspects, trust is most important.”
— Google Search Central, Creating helpful, reliable, people-first content
Semrush's B2B guidance makes a similar point about being named versus being chosen:
“Simply being named isn't enough”
— Semrush Blog, B2B answer engine optimization: How to show up in AI
In practice, that means:
- State who you are not a fit for. AI tools reward clear positioning, and buyers trust it.
- Use numbers you can prove: implementation times, integration counts, support hours.
- Name real customers and industries where you have permission.
- Show authors with relevant expertise and keep "last updated" dates honest.
Our B2B SEO strategy framework and B2B content marketing guide cover how to turn this into a content calendar.
What to Measure
| Metric | What it tells you | Where to get it |
|---|---|---|
| Share of answers | How often you are named for your prompt set | Manual audit or AI visibility tool |
| Accuracy rate | How often descriptions are correct | Manual review of answers |
| Cited sources | Which pages shape your description | Citations in AI answers |
| AI referral sessions | Direct visits from assistants | GA4 referral sources |
| Self-reported attribution | Influence that analytics misses | Form fields and sales notes in CRM |
For the full measurement model, see our guide to measuring the ROI of AI search visibility.
Common Mistakes
- Tracking only your brand name. Branded prompts tell you about accuracy; category prompts tell you whether you make the shortlist.
- Gating every useful fact. If specs, integrations and security details sit behind forms, AI tools cannot read them.
- Ignoring review platforms. Thin or outdated profiles are often what AI reads about you.
- Self-serving "best of" lists. Ranking yourself first on your own site rarely earns trust from editors, buyers or AI systems.
- Writing for one persona. Security, finance and procurement questions can each knock you out.
Related Guides
- How to Prepare Your Website for AI Agents
- Where Does AI Get Its Answers? How LLMs Choose Sources
- Losing Traffic to AI Answers? How to Adapt Your Strategy
Frequently Asked Questions
Do B2B buyers really use ChatGPT to find vendors?
Yes, for a growing share of research. G2's 2025 buyer survey of 1,169 decision-makers found that 29% start research on platforms like ChatGPT more often than on Google, and Forrester found generative AI tools were the most cited interaction type for purchase research in its 2025 survey.
What is the difference between B2B SEO and B2B AI search optimisation?
Classic B2B SEO aims to rank pages for keywords. AI search optimisation aims to be mentioned, described accurately and cited when buyers ask conversational questions. The foundations overlap, but AI visibility relies more heavily on third-party evidence such as reviews and analyst or press coverage.
Which prompts should a B2B company track?
Track prompts for each buying-committee role: problem prompts, 'best tools for' prompts, comparison and alternatives prompts, and risk prompts about security, integrations, pricing and support. Start with 20 to 40 and review them quarterly.
Should we publish pricing to be recommended by AI?
It helps when you can. AI tools answer cost questions with whatever they can find, often from third-party sites. If you cannot publish exact prices, publish pricing models, what drives cost and typical starting points.
How long before AI tools start recommending us?
Answers based on live web search can change within weeks of new coverage or pages. Changes that depend on a model's training data take longer. Plan for steady quarterly progress rather than a quick switch.
Make Sure AI Puts You on the List
B2B shortlists increasingly begin in a chat window. Map the questions your whole buying committee asks, publish clear and verifiable answers, strengthen the third-party sources AI relies on and measure your share of answers over time.
Our SEO services team helps B2B companies build AI search visibility alongside classic rankings. Get a quote for a B2B AI visibility audit.
References
- G2: How AI is Redefining the Buyer Journey in 2025
- Digital Commerce 360: Forrester's State of Business Buying 2026
- Google Search Central: Creating helpful, reliable, people-first content
- Ahrefs: An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied)
- Semrush: B2B answer engine optimization: How to show up in AI
- Google Search Central: AI features and your website
