What is Generative Engine Optimization?
Generative Engine Optimization (GEO) is the work of making your brand easy for AI assistants to understand, trust and recommend, so that when a buyer asks ChatGPT, Claude, Perplexity or Google AI Overviews for options, your name is in the answer. It builds on SEO and sits alongside AEO, EEO and agent readiness.
The acronyms, defined
SEO
Search Engine Optimization
Earning rankings in classic search results through crawlable, fast, well-structured pages. It remains the foundation every AI system reads from.
AEO
Answer Engine Optimization
Winning direct answers: featured snippets, voice results and Google AI Overviews, mainly through question-shaped headings, concise answers and FAQ or HowTo schema.
GEO
Generative Engine Optimization
Earning mentions and citations inside AI-generated answers from ChatGPT, Claude, Perplexity and Gemini.
LLMO
Large Language Model Optimization
Close to GEO: improving how a brand is represented in model training data and retrieval (RAG) pipelines.
AIO
AI Optimization
An umbrella term for running SEO, AEO and GEO together as one program.
EEO
Entity Engine Optimization
Building a consistent brand identity in knowledge graphs and trusted directories such as Wikidata, Crunchbase, G2 and LinkedIn.
SEvO
Search Everywhere Optimization
Visibility on the platforms AI systems read live: Reddit, YouTube, LinkedIn, review sites and news.
ACO
Agentic Commerce Optimization
Infrastructure that lets AI agents understand, compare and buy on a user’s behalf: llms.txt, machine-readable pricing and documented APIs.
How do you write content AI will cite?
Write in short, standalone passages that answer first and prove claims with numbers and sources. Six factors matter most:
- 01Answer first. Open every section with the direct answer in 30 to 60 words. AI systems extract passages, not pages.
- 02Specific numbers. Replace adjectives with verifiable data: “processes API calls in 12 ms” beats “blazing fast”.
- 03Cited sources. Link to credible third parties. The GEO study found statistics, quotations and citations raised visibility by up to 40%.
- 04Standalone passages. Keep sections between roughly 40 and 500 words so each one makes sense without the rest of the page.
- 05Clear entity. One precise sentence on who you are, what you do, for whom, and where, repeated consistently everywhere.
- 06Human phrasing. Cut stock phrases such as “delve”, “seamless” and “game-changer”. Generic copy is easy to skip and hard to quote.
What technical setup does AI search need?
AI systems can only cite what they can fetch and parse. Five pieces of infrastructure cover most of it:
robots.txt
Allow GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended and other AI crawlers. Check Cloudflare’s AI-bot blocking too.
llms.txt
A Markdown file at /llms.txt that summarizes your business, key pages and pricing for language models.
JSON-LD schema
Organization, SoftwareApplication or Product with Offer, FAQPage, HowTo, Article and DefinedTerm.
Server-side rendering
Many AI crawlers do not run JavaScript. Content must be in the initial HTML, through SSR or pre-rendering.
OpenAPI and docs
Machine-readable API documentation lets AI agents sign up or buy on a user’s behalf.
What has to happen off your website?
AI systems confirm who you are by reading the wider web. Claim consistent profiles on Wikidata, Crunchbase, LinkedIn, G2, Capterra, Product Hunt and Trustpilot. Earn genuine mentions in Reddit threads, Quora answers, newsletters and press, because models learn from unlinked mentions too. Publish honest “X vs Y” and “best [category] for [audience]” pages, since AI assistants lean on them when buyers ask for recommendations.
How do you measure GEO?
Search Console does not show AI answers. The practical method is to run the questions buyers ask, record which brands are named and in what position, compare against competitors, and repeat after each change. AnswerSeat automates exactly that, alongside the technical checks above.
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