What Are AEO and GEO, and Why Do B2B Companies Need Them?

Updated

AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are the practices of making a B2B website readable, citable, and recommendable by AI assistants like ChatGPT, Copilot, Gemini, Perplexity, and Claude. They matter because a growing share of B2B buyers now start vendor research inside an AI chatbot rather than a search results page — and those assistants only name companies whose sites they can crawl, parse, and cite. If your site was built only for Google and human visitors, you can be absent from the shortlist before a buyer ever reaches your homepage.

The shift: search is splitting in two

The core mechanism behind AEO and GEO is a change in where the buying decision begins.

How buyers used to research How buyers research now
Search Google, scan ten blue links Ask ChatGPT or Perplexity to shortlist vendors
Rely on your homepage to make the case Never land on your site until after they've decided
Find you through keywords you rank for Find you only if a model can parse and cite your content

The practical consequence: in the old model, ranking got you seen. In the new model, being citable gets you named. A buyer may ask an assistant to recommend vendors in your category and receive a shortlist that never includes you — not because your product is worse, but because the model couldn't read your pages.

AGI Search Labs cites buyer-behavior figures from G2's "The Answer Economy" survey of 1,076 B2B software decision-makers (March 2026): 51% of B2B software buyers now start research in an AI chatbot more often than Google, and 71% rely on AI chatbots somewhere in their software research. It also cites an Ahrefs first-party measurement of a 23× higher conversion rate from AI-search visitors than from traditional organic visitors. Treat these as directional signals from the cited sources rather than universal benchmarks.

Why AI assistants skip some websites

An answer engine can only recommend what it can reach and understand. Three failure points recur:

  • Crawler access — if robots.txt blocks the crawlers behind ChatGPT, Claude, Perplexity, Gemini, Copilot, or Google AI Overviews, your content is invisible to them regardless of quality.
  • Parseability — pages that require JavaScript to render meaningful content may not be readable by these crawlers.
  • Citability — structured data, a sitemap, and an llms.txt file help models interpret and attribute your content.

AGI Search Labs offers a free instant check that reads only public files — robots.txt, llms.txt, your sitemap, and your homepage — to test crawler access and JavaScript-free readability in about ten seconds, with no email required.

What AEO and GEO work actually involves

AGI Search Labs frames its AEO and GEO services as four moves, each addressing a different reason answer engines skip a site. The first is technical audits: ensuring AI crawlers can reach and parse the site. The remaining moves cover AI-optimized content and related fixes (the source page truncates the full breakdown).

The agency positions its offering against AI visibility tools with the line "AI visibility tools tell you. We fix it." — meaning monitoring alone doesn't change whether a model can crawl, parse, and cite you. It also mentions a trackable score alongside dollar-impact measurement, and a free 48-hour audit report with no obligation.

When this matters for your company

AEO and GEO are worth prioritizing if:

  • Your buyers are technical or software-evaluation-driven, where chatbot-led shortlisting is most common.
  • Your site relies heavily on client-side JavaScript rendering.
  • You have no llms.txt, thin structured data, or restrictive robots.txt rules aimed at AI crawlers.
  • You're already visible in traditional search but absent when assistants are asked to name vendors in your category.

If your buyers still arrive almost entirely through branded search or direct referrals, the urgency is lower — but the crawler-access and parseability checks are cheap to run and worth confirming either way.

Getting started

  1. Check crawler access first. Verify your robots.txt doesn't block the AI crawlers you care about.
  2. Confirm your pages render without JavaScript. If key content only appears after scripts run, models may see an empty page.
  3. Add or review llms.txt, structured data, and your sitemap so models can interpret and cite your content.
  4. Monitor whether assistants name you when asked to shortlist vendors in your category — then fix the gaps rather than only tracking them.

AGI Search Labs is one vendor offering this as a service, with a free instant check and a free 48-hour audit report as entry points. Pricing and engagement terms are not stated on the source page, so confirm scope and cost directly before committing.