GEO (Generative Engine Optimization)
A specific subset of AEO focused on optimizing for generative AI engines like ChatGPT, Claude, Gemini, and Perplexity.
Generative Engine Optimization (GEO) refers specifically to optimization for generative AI engines — the systems that produce written or spoken answers by synthesizing information from training data and real-time citations. GEO overlaps significantly with AEO but emphasizes content structured for LLM ingestion: long-tail conversational queries, direct-answer formatting, and authoritative sourcing.
Generative engines source from a tighter, more authority-weighted set of citations than traditional search. A well-executed GEO program compounds over years as new generative engines launch.
A page with FAQPage schema and direct-answer paragraphs is more likely to be cited by Perplexity than a page with the same content but no structured data.
AEO (Answer Engine Optimization)
The practice of structuring content so that AI engines like ChatGPT, Perplexity, Claude, and Google's AI Overviews cite or recommend your business by name.
LLMO (Large Language Model Optimization)
The technical-leaning name for optimizing content so Large Language Models (LLMs) like GPT-4, Claude, and Gemini cite your business.
Schema Markup (Structured Data, JSON-LD)
Code added to a website that explicitly tells search engines and AI engines what the page is about.
FAQPage Schema
A type of schema markup that tells search engines a page contains a list of frequently asked questions and their answers.
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