AEO vs GEO vs SEO: The Difference, and What B2B Should Actually Do

The one-line definition of each

Strip away the jargon and each acronym answers a different question about where your brand shows up:

• SEO — Search Engine Optimization

  Getting your pages to rank in traditional search results (the blue links) through relevant, authoritative content, internal structure, and backlinks. The goal is a ranking and a click.

• AEO — Answer Engine Optimization

  Formatting that same content so it wins the direct answer: featured snippets, voice answers, and AI-powered search features like Google AI Overviews. The goal is to be the answer, not just a link.

• GEO — Generative Engine Optimization

  Making your brand citable and recommendable inside generative AI answers from ChatGPT, Claude, Perplexity, and Gemini. The goal is to be named when a model synthesises its response.

The shorthand we use: SEO gets the ranking, AEO wins the answer box, GEO earns the citation in AI chat.

How AEO, GEO, and SEO actually differ

The real differences come down to where the answer appears and what format wins:

• Where you appear

  SEO targets the search results page. AEO targets answer boxes and AI search features inside search engines. GEO targets the body of a generative chat answer, where there is no ranked list at all, just a short set of named sources.

• What format wins

  SEO rewards comprehensive, well-linked pages. AEO and GEO reward extractable passages: a clean 60 to 80 word block that answers one question and reads coherently on its own outperforms a 3,000 word essay, because models lift passages, not whole articles.

• What signal matters most

  SEO leans on on-page relevance and backlinks. GEO leans more heavily on off-page signals: consistent brand mentions across trusted third-party sources and a recognisable brand entity carry disproportionate weight in whether a model will name you.

• How you measure it

  SEO tracks rankings and organic clicks. AEO tracks snippet and AI Overview appearances. GEO tracks whether models actually cite you when asked your buyers' real questions, a habit closer to reputation monitoring than rank tracking.

If you want the deeper mechanics of the GEO side, see our guide on how to get your brand cited in AI models, and the platform-specific playbook for how to rank in ChatGPT.

Why they reinforce each other

The most common mistake is treating these as competing strategies you have to choose between. They are layers of the same system. Generative engines and AI search features rely on many of the same authority and relevance signals that traditional search algorithms use, which is why GEO and AEO enhance SEO rather than replace it.

In practice: AEO provides the structured, extractable answers, and GEO builds the entity authority and reasoning on top of them. Both stand on the SEO foundation of authoritative, indexable content. A brand with no search authority has almost nothing for an AI model to cite, and a perfectly optimised page that no engine trusts will not get named. The pipeline runs data to structure to trust, and you need all three stages.

This is also why one strong asset can win on all three fronts at once. A YouTube video, for example, can rank in search, win an AI Overview, and get cited in a Perplexity answer from the same transcript, which is why YouTube gets cited in AI so heavily.

What a B2B company should actually do

You do not need three teams or three budgets. You need one content system built to serve all three. In rough priority order:

• Build the SEO foundation: genuinely authoritative, buyer-intent content and a consistent brand entity across your site, profiles, and listings.
• Format every page answer-first: open with a direct 60 to 80 word answer to the exact question, then expand. This is the single highest-leverage AEO move.
• Add structured data (Organization, FAQPage, Article schema) so machines parse and extract your pages reliably.
• Publish content in citable formats, especially YouTube videos with clean, accurate transcripts, because they are quotable text that compounds entity authority.
• Earn third-party references: reviews, roundups, communities, and reputable publications, which is what tips a model into naming you.
• Maintain an llms.txt and monitor whether AI actually cites you, then make more of what earns citations.

The two levers that move all of this fastest for B2B are a YouTube channel that produces citable transcripts and AI-optimised SEO content. That is exactly what our AI visibility service runs for clients end to end.

Frequently asked questions