How to get cited in Google AI Mode: a guide for B2B teams

AI Overviews appear on top of normal results, and Google says they show only when its systems decide a summary adds something to classic Search. AI Mode is a separate, conversational experience where the answer is the page, with links to supporting websites inside and beside it. Buyers use it for longer, multi-part questions, which is how B2B research questions tend to look.

The mechanism that matters is query fan-out. When Google introduced the expanded AI Mode in May 2025, it described the technique as breaking a question into subtopics and issuing a multitude of queries at once, and said Deep Search can issue hundreds of searches for a single request. For a B2B marketer, that means your page can be cited for a question nobody typed, because AI Mode searched for it on the buyer's behalf. If you already work on AI Overviews, our guide to AI Overviews citations covers the overlap.

AI Mode launched in Canada in English in August 2025, and Google added more than 35 languages in October 2025, French among them. Canadian B2B teams that sell in both languages should test both.

Google's Search Central documentation is unusually direct here. A page must be indexed and eligible to be shown in Google Search with a snippet to appear as a supporting link, and there are no additional technical requirements or special optimizations for AI Overviews or AI Mode. Google's newer optimization guide, updated in July 2026, adds that you do not need new machine-readable files, AI text files or Markdown versions, that there is no requirement to break content into tiny chunks, and that there is no special schema.org markup for generative AI search.

The same guide says a site must be included in Search generative AI features in Search Console to be eligible, so check that setting before anything else. It also names the factor Google expects to matter most over time: content that people find unique, compelling and useful. In B2B, that rules out the generic category explainer most vendors already publish and rules in the specific detail only you can give.

Google does not publish the sub-queries AI Mode runs, so we infer them. Take the questions your buyers ask before a shortlist, then list the follow-up questions a careful analyst would research to answer each one. The sub-questions below are our working assumptions for a typical B2B software or services purchase, not a Google list.

Most B2B sites answer the head question on a service or product page and leave the sub-questions to sales calls. AI Mode rewards the opposite.

We work through the map in the order buyers need the answers, starting with the questions that block a shortlist.

1. List 20 to 40 buyer questions from sales calls, RFPs, chat logs and Search Console queries, grouped by stage.
2. For each question, write the four or five sub-questions an analyst would research, and mark which ones your site answers today in plain text.
3. Give each unanswered sub-question a section or page whose first two sentences answer it directly, with the specific numbers, limits and conditions that apply.
4. Say who the offer is not for and what it does not do. Specific constraints are what make a passage useful for a constrained question.
5. Link the new sections from the product, service and comparison pages they support, so Google can find and understand them.
6. Re-run the prompt set four to six weeks after publishing and record which pages AI Mode now links.

Most AI Mode problems we see on B2B sites are eligibility problems, not content problems.

• The page is indexed: check it with URL Inspection, not by assuming the sitemap worked.
• Snippet controls are not blocking you: nosnippet, data-nosnippet and a short max-snippet all limit what Google can show.
• Key content renders without user interaction: answers hidden in tabs that load on click, PDFs or images are harder to use.
• Canonical tags point to the page you want cited, not to a parameter version or an old URL.
• Internal links reach the page from relevant hubs, so it is not an orphan.
• The Search Console setting for generative AI features has not been switched off.

Google launched Search generative AI performance reports in Search Console on June 3, 2026, and says they reached all websites by August 31, 2026. They show impressions in AI Overviews and AI Mode by page, country, device and date. The reports do not show clicks or queries yet, so treat them as a visibility signal, not a pipeline one.

We combine three views. First, the Search Console report for which pages appear. Second, a fixed set of buyer prompts run in AI Mode every month, recording which vendors are named and which pages are linked, following our guide to measuring share of answer. Third, the CRM: meetings and opportunities whose first visit or self-reported source points to AI search.

These are the patterns we fix most often.

• Writing one more generic "what is [category]" article when the sub-questions are unanswered.
• Putting integration, security and pricing detail in gated PDFs or behind sales forms.
• Buying tools that promise AI Mode rankings. Google says no third-party tool has access to its internal ranking or AI systems.
• Adding llms.txt files or extra schema and expecting a change in Google. Google says neither is used for this.
• Judging progress from one screenshot instead of a repeated prompt set and the Search Console report.

A first AI Mode project takes four to six weeks: the question map, an eligibility audit, the five to ten pages that close the biggest gaps, and a baseline in Search Console and in a fixed prompt set.

Our generative engine optimization service runs this work alongside technical SEO, so the same pages earn classic rankings and AI Mode links.

For teams in Ontario, our page on GEO for Toronto B2B companies shows how we apply it to the Canadian market.

If you want to know which of your pages AI Mode already cites and which sub-questions competitors own, talk to our team about a free 30-minute pipeline plan.