AEO vs GEO vs Agentic SEO
The canonical taxonomy of AI-era discovery: clear definitions, clear boundaries, and where each discipline applies.
The Discovery Taxonomy
Three overlapping but distinct disciplines now govern how brands get found. Here is where each begins and ends.
AEO
Answer Engine Optimization
The strategy of becoming the authority that answers questions on your topic, across owned media (your website and social content) and earned media (content distribution and brand/product mentions). Structure pages so AI assistants such as ChatGPT, Perplexity, and Gemini can extract, cite, and recommend them as the direct answer: one semantic heading structure per page, concise summaries, and unambiguous definitions of entities and services, backed by source authority, E-E-A-T signals, and quotable evidence. AEO targets extractable answers: it governs page structure and brand authority.
GEO / LLMO
Generative Engine / Large Language Model Optimization
The technical process of exposing your content to AI crawlers, for both LLM training and retrieval (RAG): semantic code structure, schema markup, content readable without JavaScript, lean pages that stay inside token windows, clear topic hub-and-node internal linking, machine- and human-readable content blocks, and caching/CDN configured to serve fresh content to AI bots rather than block them.
Agentic SEO
The Action Layer
Optimizing for agents that do, not read: write-access integrations, transactional schema, and machine-readable conversion paths. Covered in depth at AgentEngine.Marketing.
Frequently Asked Questions
What is Answer Engine Optimization (AEO)?
The strategy of becoming the authority that answers questions on your topic, across owned media (your website and social content) and earned media (content distribution and brand/product mentions). Structure pages so AI assistants such as ChatGPT, Perplexity, and Gemini can extract, cite, and recommend them as the direct answer: one semantic heading structure per page, concise summaries, and unambiguous definitions of entities and services, backed by source authority, E-E-A-T signals, and quotable evidence. AEO targets extractable answers: in practice it governs page structure and brand authority, and strong sites need both.
What is GEO / LLMO, and how is it different from AEO?
Generative Engine Optimization (GEO), also called Large Language Model Optimization (LLMO), is the technical side of AI discovery. The technical process of exposing your content to AI crawlers, for both LLM training and retrieval (RAG): semantic code structure, schema markup, content readable without JavaScript, lean pages that stay inside token windows, clear topic hub-and-node internal linking, machine- and human-readable content blocks, and caching/CDN configured to serve fresh content to AI bots rather than block them. AEO governs strategy, page structure, and brand authority; GEO/LLMO governs technical exposure. Strong sites need both.
Is traditional SEO dead?
No. Search engines still drive significant traffic, and the structured, crawlable foundations of technical SEO are exactly what answer engines consume. AEO and GEO/LLMO extend SEO into the AI discovery layer rather than replacing it.
Who is behind AnswerEngine.Marketing?
AnswerEngine.Marketing is the AEO/GEO thought leadership node of the SiteLynx Digital Discovery Network, founded on SiteLynx heritage dating to 1996. Sister nodes include SiteLynx.com (governance and strategy), SLX.marketing (execution agency), and AgentEngine.Marketing (agentic web optimization).
Want your brand cited by AI engines?
Start with the playbooks, then talk to the network: SiteLynx for governance and strategy, SLX Marketing for execution.