Generative Engine Optimization · GEO

Generative Engine Optimization for the AI era

When generative AI writes the answer, GEO decides whether your brand is in it. We test it across 3 engines and fix what's missing.

Generative engines build answers on the fly from sources they trust. GEO is the practice of becoming one of those trusted, cited sources — so when an AI generates its short list of recommendations, your business appears.

What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of optimizing your content and data so generative AI models like ChatGPT, Google Gemini and Perplexity surface and cite your business in their answers. It focuses on structured data, authoritative answer-first content, citations and entity consistency rather than traditional keyword ranking.

How AnswerGap helps

1

Benchmark your GEO

We query 3 generative engines with 20 real customer questions and score your visibility.

2

Map the gaps

Get a clear list of the structured-data, content and citation signals generative engines need from you.

3

Close them

A copy-paste Fix Kit or full done-for-you implementation, with a 30-day re-test.

FAQ

Not really — they're three names for the same shift. GEO (Generative Engine Optimization), AEO (Answer Engine Optimization) and AI SEO all describe optimizing so AI engines cite and recommend you. AnswerGap covers all of it.
The ones where buying questions happen: ChatGPT, Google Gemini and Perplexity. AnswerGap tests all three on every report.
Live-search engines like Perplexity and Gemini can reflect changes within days of a re-crawl. Most businesses see citations trend up within 30–90 days of deploying proper structured data and answer-first content.

Run your free GEO audit

See whether generative AI recommends you — and get the exact fixes if it doesn't.

Check my AI visibility — free →
Free score in 60 seconds · Full 3-AI report $19.99 · No subscription

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