Learn how AI decides what to recommend.
Clear, no-hype definitions, honest comparisons, and use cases for Answer Engine Optimization — written by the team that does this for a living.
Definitions
What is AEO?
Answer Engine Optimization — getting your product named inside the answers AI engines generate, not just ranked in a list of links.
What is GEO?
Generative Engine Optimization — the practice of shaping how generative AI describes and recommends you. Closely related to AEO.
What is LLMO?
LLM Optimization — another name for the same work as AEO/GEO, with the emphasis on the language models themselves.
What is an answer engine?
An AI system (ChatGPT, Claude, Perplexity, Gemini) that returns one synthesized answer instead of a list of links.
What is llms.txt?
A simple Markdown file that tells AI models what your site is about and which pages matter — the robots.txt of the answer era.
What is share-of-answer?
The percentage of buyer questions where an AI engine names you — the core metric for measuring AI visibility.
Comparisons & guides
AEO vs SEO
How optimizing to be cited inside AI answers differs from optimizing to rank in blue links — and why you need both.
AEO agency vs DIY tools
DIY tools measure where you stand in AI answers; an agency does the work to move it. Which one you actually need.
AEO agency vs in-house
Hire an agency or build the capability internally? How to decide as a B2B SaaS team.
Guide: How to get recommended by AI
A step-by-step playbook for getting your product named by ChatGPT, Claude, Perplexity and Gemini.
Use cases
AEO for Fintech SaaS
Get named when buyers ask AI which tools are compliant, secure and trusted — before they book a demo.
AEO for DevTools
Get recommended when developers ask ChatGPT and Perplexity which library, API or tool to build with.
AEO for HR Tech
Get named when people-ops buyers ask AI for the best ATS, HRIS or onboarding tool for their size and region.