Optimizing content to be cited by generative answer engines like ChatGPT, Perplexity and Google AI Overviews.
1 min readupdated 2026-06-22
/ quick answer
GEO is the discipline of shaping content so LLM-powered answer engines quote it. Priorities: clear extractive summaries, structured data, canonical facts, author authority, and machine-readable indexes (sitemap, llms.txt). Optimizing content to be cited by generative answer engines like ChatGPT, Perplexity and Google AI Overviews.
Optimizing content to be cited by generative answer engines like ChatGPT, Perplexity and Google AI Overviews. GEO is the discipline of shaping content so LLM-powered answer engines quote it. Priorities: clear extractive summaries, structured data, canonical facts, author authority, and machine-readable indexes (sitemap, llms.txt). In practice: Adding a one-sentence definition at the top of an article, plus FAQ schema, meaningfully increases the chance of being pulled into a Perplexity citation or AI Overview. This dictionary node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Definition
GEO is the discipline of shaping content so LLM-powered answer engines quote it. Priorities: clear extractive summaries, structured data, canonical facts, author authority, and machine-readable indexes (sitemap, llms.txt).
Example
Adding a one-sentence definition at the top of an article, plus FAQ schema, meaningfully increases the chance of being pulled into a Perplexity citation or AI Overview.
GEO is the discipline of shaping content so LLM-powered answer engines quote it. Priorities: clear extractive summaries, structured data, canonical facts, author authority, and machine-readable indexes (sitemap, llms.txt).
What is an example of Generative Engine Optimization (GEO)?
Adding a one-sentence definition at the top of an article, plus FAQ schema, meaningfully increases the chance of being pulled into a Perplexity citation or AI Overview.
Why does Generative Engine Optimization (GEO) matter for AI and automation?
Optimizing content to be cited by generative answer engines like ChatGPT, Perplexity and Google AI Overviews. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.