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:
- Be present in what’s retrieved: pages that are crawlable, relevant and clear enough to be pulled into an answer.
- 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.