Answer Engines Optimization
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Resources

Reference pages for AI visibility.

This section will become the citable knowledge hub for answer engine optimization, generative engine optimization and LLM visibility.

What is Answer Engine Optimization?

AEO is the practice of making a company easier to understand, cite and recommend in direct answers generated by AI and search engines.

How to get ChatGPT to recommend your company

You cannot force a recommendation, but you can improve the signals ChatGPT can find: entity clarity, crawl access, trusted sources, reviews and citable content.

GEO vs SEO

SEO helps pages rank in search results. GEO helps brands become visible in generated answers that synthesize many sources.

What is llms.txt?

A lightweight Markdown guide for AI systems. It is not a guaranteed ranking factor, but it can help organize key pages for agents.

Canonical answers

Short definitions agents and buyers can cite.

This page is maintained as a reference layer for people comparing GEO, AEO, LLMO and traditional SEO.

Answer Engine Optimization

Answer Engine Optimization is the practice of improving how a company is represented in direct answers from search engines and AI assistants. It focuses on being understood, cited and recommended, not only on ranking a single page.

Generative Engine Optimization

Generative Engine Optimization is a broader discipline for improving visibility in generated responses. It combines technical access, entity clarity, useful content, external authority, reputation signals and repeated measurement across prompts.

LLM Optimization

LLM Optimization helps language models and AI search systems find reliable, current and consistent evidence about a company. The goal is to reduce ambiguity and increase the probability that the company is mentioned accurately.

AI visibility audit

An AI visibility audit measures whether AI engines mention, cite and recommend a company for commercially relevant prompts. It usually includes prompt research, repeated tests, competitor analysis, source mapping, claim accuracy checks and prioritized actions.