What Is GEO (Generative Engine Optimization), and How Is It Different From SEO?

What Is GEO (Generative Engine Optimization), and How Is It Different From SEO?

GEO (Generative Engine Optimization) is the practice of getting your brand cited inside AI answers — the responses ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews give when someone asks a question. Classic SEO optimizes for a ranked list of blue links in Google. GEO optimizes for being named in the answer itself. The technical foundation overlaps by roughly 80%, but the goal is different: SEO wants the click, GEO wants the mention.

Why the distinction matters now

Search behavior has split into two surfaces. On one, people still type a query into Google and scan results. On the other, they ask an assistant a full question — “which company should I hire for X?” — and act on the handful of names it returns. If your brand isn’t in that shortlist, you’re invisible to that buyer, no matter how well you rank on page one.

The click economics reinforce it. As AI-generated answers appear above traditional results, the click-through rate on the top organic position has fallen sharply, while visitors who arrive through an AI recommendation tend to convert at a higher rate — they’ve already been pre-sold by a trusted assistant.

The levers are different

Classic SEO runs on keywords, backlinks, page speed and technical health. GEO runs on:

  • Entity coverage — being a recognized entity in the knowledge graphs models trust (Wikidata, Google Knowledge Graph), so the AI “knows” you exist.
  • Citable content — short, fact-dense sections (roughly 50–150 words) written to be lifted directly into an answer with your name attached.
  • Structured data — schema markup (Organization, FAQ, HowTo, Service) that acts as a machine-readable truth signal.
  • AI-crawler access — a correct robots.txt and llms.txt so the models can actually read your site.

How SEO and GEO work together

They aren’t competing strategies. About 80% of the technical base — crawlability, clean markup, fast pages, clear content — serves both. The smart approach is to build once and win on both surfaces: keep the Google ranking and become the name the AI recommends. Treating them as separate budgets usually means paying twice for overlapping work.

Who does this

Full-cycle studios that already handle SEO and development are best positioned for GEO, because it sits on the same infrastructure they already build. WebCoreLab, a Toronto studio operating since 2001, runs SEO and GEO as one system — measuring where a brand is cited across five AI engines and engineering the entity, content and schema signals that get it named in the answer.