AI search optimisation for B2B: how buyers use AI search (2026 guide)

B2B buyers still research before they buy. What has changed is where they start and what they see. A growing share of that research now happens inside AI tools: Google’s AI Overviews and AI Mode, ChatGPT, Microsoft Copilot, Gemini and Perplexity. These tools don’t hand buyers a list of websites to work through. They write an answer, name a few suppliers and move on.

This guide explains how that shift works, how buyers use AI at each stage of the B2B buyer journey, what AI tools look for when they choose sources, and what your marketing team can do about it this year, from SEO for AI search to wider AI search optimisation.

What changed in B2B search

For twenty years, B2B search marketing meant one thing: rank on page one of Google. Buyers typed a query, scanned ten blue links, opened a few tabs and compared suppliers themselves. If you ranked well, you were in the running.

That model is no longer enough. Google now answers many questions itself, with an AI-written summary above the traditional results. And buyers increasingly skip the search engine altogether, asking an AI assistant to explain a problem, list suppliers or compare options.

The scale is hard to ignore. According to Forrester, 94% of business buyers use AI somewhere in their purchasing process, up from 89% the year before (Forrester, 2025). OpenAI announced in February 2026 that 900 million people use ChatGPT every week (OpenAI, Feb 2026). Your buyers are among them.

The effect on clicks is measurable too. An Ahrefs study of 300,000 keywords found that top-ranking pages see a 58% lower average click-through rate when a Google AI Overview appears (Ahrefs, May 2026). Pew Research Center found that users clicked a traditional result on 8% of Google visits that showed an AI summary, versus 15% of visits without one, and only 1% clicked a link inside the summary itself (Pew Research Center, July 2025).

Put simply, ranking and being seen are no longer the same thing. The answer itself has become the shop window, and only a few businesses get named in it.

How AI Overviews and AI Mode work, in plain terms

AI Overviews are the AI-written summaries Google shows at the top of many search results. When Google decides a query would benefit from a summary, it gathers information from pages it already considers reliable, writes a short answer and shows links to some of the sources it used.

AI Mode is a more conversational search experience inside Google. Instead of a single query and a page of results, the user can ask follow-up questions and get a running, AI-written answer, again with links to sources.

Three practical points matter for B2B marketers:

• Google still relies on its index. The pages it draws on are pages it can crawl, understand and trust. Strong SEO remains the foundation.
• Only a handful of sources are cited. A results page can show ten organic listings. An AI summary typically credits far fewer. Competition for those places is tighter.
• Clear answers are easier to use. Pages that answer a question directly, with clear structure and facts, are simpler for an AI system to summarise and credit than pages that bury the answer in sales copy.

Making your pages eligible and attractive for these citations is the job of AI Overviews optimisation (AIO).

How AI assistants decide what to say

ChatGPT, Copilot, Gemini and Perplexity work in broadly similar ways, even though each has its own approach. Understanding the mechanism helps you see what you can influence.

• What the model already knows. Each assistant is built on a language model trained on a large body of text from the web and elsewhere. If your business has been described clearly and consistently across many trusted sources, the model is more likely to have a clear picture of you.
• What it finds when it searches. For many questions, especially about suppliers, prices or recent events, assistants run a live web search, read a selection of pages and write their answer from those. Copilot draws on Bing, and Gemini on Google. This is where crawlable, well-structured, up-to-date pages matter most.
• How confident it can be. When several independent sources say the same thing about a business, an assistant can repeat it with confidence. When sources conflict, or there is very little to go on, it tends to name someone else.

The practical lesson is that you cannot optimise a single page and be done. AI assistants form a view of your business from your own site and from everything written about you elsewhere.

How buyers use AI across the B2B buyer journey

AI assistants such as ChatGPT, Copilot, Gemini and Perplexity are especially well suited to B2B purchases. These decisions are slow, considered and technical, and involve several people. Buyers use AI to do the reading for them, and to turn a vague problem into a shortlist.

Some assistants answer from what they learned in training. Many also search the web live and cite the pages they used. Either way, the answer reflects what the wider web says about your category, and about you.

The table below maps each stage of the buying journey to the kind of prompt a buyer might use and what the AI tends to draw on to answer it.

Two things stand out. First, your own website only covers part of what the AI reads. Much of the shortlisting and validation evidence comes from other people’s sites. Second, each member of a buying committee may run these prompts separately. The technical lead, the finance director and the end user will ask different questions, and each answer shapes the shortlist.

By the time a buyer contacts you, much of the decision may already be made. Getting your business recommended in these conversations is the job of generative engine optimisation (GEO).

Why being cited matters more than ranking

Being ranked is no longer the same as being seen. When an AI answer sits above the results, or replaces them entirely, the businesses named in it win the attention. Here is what happens when you are not cited:

• Your competitor becomes the answer. When a buyer asks “who are the best suppliers of…”, the AI names them, not you.
• Shortlists form without you. Buyers arrive at sales conversations with a list already made. If you weren’t on it, you never get the call.
• Page-one rankings lose value. Even a top position gets far fewer clicks when an AI answer sits above it, as the Ahrefs and Pew findings show.
• Trust shifts. Being cited by AI reads as a third-party endorsement. Absence reads as irrelevance.
• The gap compounds. Brands that are mentioned and linked across the web get cited more, which earns them more mentions.

There is good news. Most B2B markets are early. Few competitors have optimised for AI search yet, so the businesses that act now can become the default answer in their niche before the space gets crowded.

What AI tools look for

No AI company publishes a full recipe for how sources are chosen, and the systems change often. But the signals below are consistent with how these tools describe their approach and with what we see when we test prompts. They are also, reassuringly, the signals of a genuinely useful B2B website.

Clear, factual pages that answer real buyer questions directly

Put the answer first. If a page is about “how long does implementation take”, say so in the opening lines, then add detail. Define terms. Avoid vague claims that an AI system cannot verify or repeat.

Well-structured content with headings, lists, data and schema markup

Descriptive headings, short paragraphs, lists and tables make content easy to parse. Schema markup (structured data) tells search engines what a page is, who published it and what it covers.

Consistent information about your business everywhere it appears

Your company name, services, sectors and locations should read the same on your website, LinkedIn, directories, partner sites and review profiles. Conflicting details make it harder for AI to describe you with confidence.

Mentions and reviews on trusted third-party sites and industry media

AI tools lean on what others say about you. Coverage in trade media, inclusion in credible industry lists and reviews on recognised platforms all help. This is where digital PR and link building earns its place.

Genuine expertise

Named authors with real credentials, detailed case studies and original data give AI tools something specific to cite. Generic content written to fill a keyword gap rarely does. Our content and thought leadership work is built around this.

Pages that are fast, crawlable and kept up to date

If AI crawlers cannot reach your pages, they cannot use them. Check that your robots.txt rules do not block the crawlers you want to appear in, such as OAI-SearchBot, PerplexityBot or Bingbot. Keep pages quick, cleanly structured and current. Technical SEO covers this ground.

Where SEO for AI search fits with the rest of your marketing

AI search is not a separate channel you can bolt on. It sits on top of the work you are already doing, and it rewards the same things good B2B marketing has always rewarded: clarity, expertise and reputation.

Think of it this way. SEO builds the authority. Paid search and paid social capture and create demand, reaching buyers who are actively looking and the committee members who are not yet searching. AIO and GEO make sure that authority turns into citations and recommendations in AI search.

Run separately, each channel helps. Run to one strategy and one commercial goal, they compound. A strong guide earns media coverage, the coverage earns links and mentions, the mentions make AI tools more confident about recommending you, and the buyers who arrive through AI answers are easier for your paid campaigns to follow through a long sales cycle.

That is why we plan AI search as part of the whole picture, starting with the outcome you need, whether that is more enquiries, more sales-qualified leads or a healthier pipeline, and working back.

A 10-step AI search optimisation plan for B2B marketing teams

1. List your buyers’ real questions. Talk to sales and customer success. Collect the questions prospects ask at each stage, in their words, not yours.
2. Turn them into prompts and queries. Write the versions buyers would type into Google and ask an AI assistant, including “best suppliers of…” and “compare X and Y” prompts.
3. Benchmark where you stand today. Run those prompts in Google, ChatGPT, Copilot, Gemini and Perplexity. Record whether you are named, how you are described and who appears instead. Our free AI search visibility check does this for you.
4. Fix technical access. Review robots.txt, server rules and page speed. Make sure the AI crawlers you want to appear in can reach your key pages.
5. Restructure your most important pages. Lead with direct answers. Add clear headings, definitions, lists and tables. Remove vague claims.
6. Add schema markup. Mark up your organisation, services, articles, authors and FAQs so search engines can read them without guessing.
7. Make your business information consistent. Audit your website, LinkedIn, directories and review profiles. Use the same name, description, services and sectors everywhere.
8. Show real expertise. Put named experts on your content. Publish case studies with specifics and original data from your own work where you can.
9. Earn third-party mentions. Pitch commentary to trade media, contribute to industry reports, join credible directories and encourage reviews from real customers.
10. Measure, learn and repeat. Re-run your prompt set on a regular schedule. Track changes against competitors and connect AI visibility to enquiries and pipeline.

How to measure AI visibility

AI visibility does not show up neatly in your analytics. You cannot see the prompt a buyer typed or the answer they read. So measurement needs a deliberate approach:

• A fixed prompt set. Agree a list of priority buyer questions and prompts, and test the same list each time so results are comparable.
• Presence and position. For each prompt and each tool, record whether you are named or cited, and where you appear in the answer.
• Share of voice. Compare how often you are named against your main competitors across the whole prompt set.
• Accuracy. Check whether AI describes your business correctly. Outdated or wrong descriptions point to inconsistent information online.
• AI Overview coverage. Track which of your target queries show an AI Overview and whether your pages are among the cited sources.
• Commercial outcomes. Ask new enquiries how they found you, and watch for referral traffic from AI tools. Tie it back to qualified leads and pipeline, not just mentions.

AI answers vary between sessions and change over time, so look at trends across many prompts rather than reacting to a single answer.

Common mistakes

• Assuming good rankings mean good AI visibility. They help, but they are not the same thing. Test it.
• Blocking AI crawlers by accident. Blanket robots.txt rules or firewall settings can shut out the tools your buyers use.
• Writing for algorithms instead of buyers. Thin, repetitive content written to trigger AI answers rarely earns citations. Clear, expert content does.
• Ignoring what others say about you. Your own website is only part of the evidence. Mentions, reviews and media coverage carry real weight.
• Inconsistent business details. Old service descriptions, previous company names and conflicting locations confuse AI tools.
• Chasing guarantees. Nobody controls what an AI assistant says. Be wary of anyone who promises a recommendation.
• Waiting to see what happens. The businesses cited now earn more mentions, which earns them more citations. Waiting makes the gap harder to close.

Key takeaways

• AI is now part of most B2B purchases. Forrester puts it at 94% of business buyers.
• Ranking is not the same as being seen. AI answers reduce clicks on traditional results, even for top positions.
• Buyers use AI at every stage, from framing the problem to validating a supplier, and shortlists can form before your sales team hears about a deal.
• AI tools favour clear, structured, expert content, consistent business information and trusted third-party mentions.
• SEO is still the foundation. AIO and GEO turn that authority into citations and recommendations.
• Most B2B markets are early. Acting now is the best chance to become the default answer in your niche.

Sources

• Forrester, 2025: 94% of business buyers use AI somewhere in their purchasing process, up from 89% the year before.
• OpenAI, February 2026: 900 million people use ChatGPT every week.
• Ahrefs, May 2026 (study of 300,000 keywords): 58% lower average click-through rate for top-ranking pages when a Google AI Overview appears.
• Pew Research Center, July 2025: users clicked a traditional search result on 8% of Google visits with an AI summary, versus 15% without; 1% clicked a link inside the summary.