Guide · 6 min read
What Is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) — sometimes called AI SEO or LLM SEO — is the practice of improving how often and how favorably your business appears in answers generated by AI engines like ChatGPT, Claude, Perplexity and Google's AI Overviews.
Where classic SEO competes for a ranked list of blue links, GEO competes for something scarcer: a handful of names an AI actually says out loud when a customer asks for a recommendation.
GEO vs SEO: what actually changes
SEO optimizes for a crawler and a ranking algorithm; GEO optimizes for a language model synthesizing an answer. The overlap is real — good content, structured data and authority help both — but the output is different. Page two of Google still gets some clicks. Not being in an AI's three recommended businesses gets you exactly zero.
GEO also has a memory dimension SEO doesn't: models carry associations learned during training. A business with years of consistent citations, reviews and press is embedded in the model itself, not just in a retrievable index.
Why GEO matters now for local businesses
A rapidly growing share of consumers start (and often end) their search for a service inside an AI assistant. These are high-intent moments: someone asking “who should I hire to remodel my kitchen in Austin?” is ready to buy. The AI's answer is effectively a shortlist — and shortlists convert.
For local businesses this is a land-grab moment. Most competitors haven't started optimizing for AI answers, which means the businesses that build signals now inherit a durable advantage as these habits become mainstream.
The three pillars of GEO
Effective GEO work falls into three buckets:
- Machine-readable facts — structured data, consistent NAP citations, accurate profiles everywhere your business is listed.
- Answer-shaped content — pages that directly answer the questions customers ask AI assistants, in plain language.
- Third-party evidence — reviews, local press, directories and community mentions that teach models to associate your name with your trade and your city.
How to measure GEO
GEO starts with a visibility audit: take the 10–20 questions your customers actually ask, run them through the major AI engines, and score how often you're named versus your competitors. Track it weekly — answers move as models update.
LLM Rank runs this exact audit in minutes and gives you a 0–100 visibility score, the competitors dominating your queries, and a prioritized plan to close the gap.