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What is Generative Engine Optimization (GEO)?

By Herman · October 2026 · 6 min read

Generative Engine Optimization (GEO) is the practice of making your brand easy for AI answer engines — such as ChatGPT, Gemini, Perplexity and Google’s AI Overviews — to find, understand, trust and cite. Where SEO aims to rank a page in a list of links, GEO aims to get your firm named, accurately described and linked inside a generated answer.

Why it matters

When people ask an AI assistant for a recommendation, they typically get a short answer naming a handful of options rather than ten blue links. Being absent from that short list can mean being absent from the decision. Firms that rely on trust and referrals — professional services, software, healthcare, local businesses — feel this first.

GEO vs. SEO

  • Goal. SEO: rank and earn clicks. GEO: be mentioned, cited and described correctly.
  • Unit of competition. SEO: pages. GEO: entities (your brand, people, products) and passages that can be quoted.
  • Measurement. SEO: rankings, traffic. GEO: mention rate, citations, share of voice across a set of prompts — noisy, and best tracked over time.
  • Overlap. Most GEO fundamentals — crawlable pages, authority, helpful content — are good SEO too. GEO is an extension, not a replacement.

How AI engines decide what to mention

Details differ by product and change often, and the engines don’t publish full recipes. In general, answers draw on a mix of (1) what the model learned in training, and (2) live retrieval from the web, where the engine searches, reads pages and cites sources. That gives you two levers:

  1. Be present in what’s retrieved: pages that are crawlable, relevant and clear enough to be pulled into an answer.
  2. Be consistently described across the web: your own site, reviews, directories, press and profiles should agree on who you are and what you do.

Core GEO practices

  • Entity clarity — one canonical name, a plain-language description, and consistent details everywhere.
  • Structured data — schema.org JSON-LD that states facts explicitly.
  • Answer-first content — lead with the direct answer, then support it. Write passages that make sense on their own.
  • Credibility signals — named authors, credentials, original data, citations to primary sources.
  • Crawl access — don’t accidentally block the bots you want to be visible to.
  • Measurement — test a fixed set of real customer prompts regularly and log the results.

What GEO is not

It isn’t a trick or a guarantee. Model outputs vary by prompt, by model version and even from run to run, so anyone promising “we’ll make ChatGPT recommend you” is overselling. The honest version: measure, make evidence-based improvements, and watch the trend.

Where to start

Follow the practical GEO checklist, generate your starter files with the free tool, or ask me for an audit.