Generative engine optimization for B2B: a practical playbook

TL;DR

• Generative engine optimization (GEO) is about being found, used and cited accurately in AI-written answers. For B2B, that means showing up when a buyer asks an assistant to explain a problem, list vendors or compare options.
• GEO rests on ordinary SEO: crawlable, indexed pages with real substance. Google says you don't need special files or markup for its AI features.
• The playbook: pick 20 to 40 buyer questions, map each to a page that answers it, make those pages easy to quote, earn mentions on sites assistants trust, and measure with the citation reports that now exist.
• Don't expect a single number to tell you whether it is working. Track a fixed prompt set, Search Console and Bing citation data, and what buyers tell you on calls.

Why B2B teams are paying attention

B2B buyers now research with AI as a matter of routine. A Gartner survey published in May 2026 found that 45% of buyers used generative AI in a recent purchase, mainly to gather information on vendors and products. Forrester's 2026 State of Business Buying puts AI use during the buying process at 94%.

Two consequences follow. First, a shortlist can form before a buyer ever visits your site, often as a zero-click answer. Second, buyers check what the AI told them: Gartner found 69% prefer to validate AI-generated insights with a sales rep. If the assistant described your product wrongly, that correction now happens on your sales call, or not at all.

What the research says works

The term GEO comes from a 2024 paper by Pranjal Aggarwal and colleagues, presented at the KDD 2024 conference. They tested content changes on a benchmark of queries and measured how visible a source became in generated answers. The full results are worth knowing, with one caveat: these were controlled experiments, not a guarantee about any particular assistant today.

• Adding citations, quotations and statistics to content gave "a relative improvement of 30-40%" on their main visibility metric.
• Clearer writing (fluency and easy-to-understand edits) also helped, by 15 to 30%.
• Keyword stuffing offered "little to no improvement," and performed worse than the baseline on Perplexity.
• Lower-ranked sites gained most. A source ranked fifth in search results gained far more visibility from citing sources than the top-ranked source did.
• Effects varied by domain, which the authors call "the need for domain-specific optimization methods."

The practical reading for B2B: specific, verifiable, well-sourced content beats volume and keywords. That matches what the search engines say.

What Google and Microsoft say

Google's guide to generative AI features in Search says a page must be indexed and eligible to appear in Search with a snippet to be used by its AI features, that you don't need "new machine readable files, AI text files, markup, or Markdown," and that you should create content "that people find unique, compelling, and useful." It also warns that mass-producing pages for query variations "violates Google's scaled content abuse spam policy."

Microsoft's Bing team is more prescriptive. Its October 2025 guidance explains that assistants break pages into pieces and that "these modular pieces are what get ranked and assembled into answers." It recommends clear headings, short self-contained passages, Q&A blocks, tables and claims anchored "in measurable facts."

The playbook

How to measure GEO in 2026

Measurement is still partial, but it is much better than a year ago.

A few details matter when reading these:

• Google's generative AI performance reports launched in June 2026 and reached all websites by August 31, 2026. They show impressions, not answers, so you see that a page appeared, not what was said.
• Bing's AI Performance report shows "the key phrases the AI used when retrieving content," which is the closest thing to an AI keyword report. Microsoft notes it reflects "how often pages are cited, not page importance, ranking, or placement."
• GA4's AI Assistant channel groups traffic from sources "like ChatGPT, Gemini, Deepseek, Copilot, or Grok." Visits from Google's own AI Overviews and AI Mode are counted as Organic Search.

Add one question to your demo or contact form: "How did you first hear about us?" with an option for "AI assistant (ChatGPT, Gemini and similar)." It is crude, but it catches the buyers who never clicked a link.

A 90-day plan

• Weeks 1–2: write the prompt set, run the baseline, list gaps. Check crawler access and that key pages render without JavaScript.
• Weeks 3–6: fix or create the pricing, security and integration pages first; they answer the questions that decide deals. Add a fair comparison page for your most common competitor pair.
• Weeks 7–10: rewrite your top ten pages for extraction: answer-first headings, tables, dates and sources. Update third-party listings to match.
• Weeks 11–13: rerun the prompt set, read Search Console and Bing reports, and record what changed. Keep the changes that moved accuracy or citations; drop the rest.

What not to do

• Don't mass-produce pages for every prompt variation. Google treats this as scaled content abuse, and assistants rarely need ten near-identical pages.
• Don't chase a single "AI ranking." Answers vary by assistant, by run and by user. Measure trends over a fixed prompt set.
• Don't write for robots at the expense of buyers. Google's guidance is to "write content for your human audience," and every GEO technique that works also makes pages clearer for people.
• Don't confuse answer engine optimization with tricks. Structured, factual answers help; hidden text, keyword lists and fake reviews do not.

Where sources disagree

Google says there is no special way to write for its AI features. Microsoft recommends a modular page structure. The GEO paper shows measurable gains from specific edits on a research benchmark. These positions fit together better than they first appear: all three reward specific, well-organized content with real facts, and none rewards volume or keyword tricks. Where they differ is how much structure to add, and that is worth testing on your own pages.

If you want to see where your site stands on the technical basics first, run it through the agent readiness checker.

GEO for B2B is mostly disciplined marketing: know the questions buyers ask, answer them plainly on pages machines can read, and check the results every month. The teams that do this well end up with a better website for people, too.