What is GEO (Generative Engine Optimization)?
Generative Engine Optimization is the practice of shaping how generative AI models describe and recommend your product. In day-to-day work it’s effectively the same discipline as Answer Engine Optimization.
By Nithish Govindasamy · Updated June 2026
The short definition
Generative Engine Optimization (GEO) is the practice of influencing the output of generative AI engines — ChatGPT, Claude, Perplexity, Gemini — so they represent and recommend your product accurately. The term emphasizes that these systems generate new text rather than return a fixed list, so the goal is to shape what gets generated about you.
GEO vs AEO — is there a difference?
For almost all practical purposes, no. AEO (Answer Engine Optimization) and GEO describe the same work from slightly different angles:
- AEO emphasizes the answer — being named when an engine responds to a buyer’s question.
- GEO emphasizes the generative nature of the engine — influencing the model’s synthesized output.
The tactics are identical in practice: clean structured data, an llms.txt, content built around real buyer questions, and consistent descriptions of your product across the web. Pick whichever term your team prefers — what matters is the work.
Why it matters for B2B SaaS
When a buyer asks a generative engine for a recommendation, the model produces a confident, synthesized answer naming a few products. There’s no list of ten links to scan — just the names it chose. GEO is how you make sure your product is one of the names, and that it’s described in a way that matches how you’d describe it yourself.
How GEO is measured
The same way AEO is: with share-of-answer — the percentage of buyer-intent prompts where the engine names you — tracked over time, across each major model, and tied back to trials and pipeline.
Frequently asked questions
- Is GEO different from AEO?
- They’re near-synonyms. GEO emphasizes the generative model; AEO emphasizes the answer the buyer sees. In day-to-day work the tactics are identical: structured data, an llms.txt, buyer-question content, and consistent mentions.
- Which term should I use — GEO or AEO?
- Either. Different teams prefer different labels — GEO, AEO, or LLMO — and the industry hasn’t settled on one. What matters is the work, not the acronym.
- Does GEO replace SEO?
- No, it extends it. A large share of AI citations come from pages already ranking well in traditional search, so you still need strong SEO underneath your GEO work.