Answer Engine Optimization
Draft
GEO vs AEO vs SEO: what actually differs
By Mukund Swaroop ·
TL;DR
SEO optimizes for rankings, AEO optimizes for being cited inside AI answers, and GEO is the broader craft of being present across generative engines. They share a foundation — crawlable, clear, trustworthy content — but diverge on what counts as winning.
The three terms, in one line each
[[DRAFT]] — SEO: rank in a list of links. AEO: get named in an answer. GEO: be present across generative engines. Define each precisely and stop the interchangeable-usage confusion.
Where they share a foundation
[[DRAFT]] — Crawlability, clarity, speed, and trust underpin all three. You can’t skip SEO fundamentals and win at AEO.
Where they diverge
[[DRAFT]] — Different definitions of “winning,” different measurement, different levers. Rankings vs citations vs share-of-answer.
Which one your team should optimize for
[[DRAFT]] — It’s not either/or. A staged model: earn the fundamentals, then layer entity and off-site work for AEO/GEO. Map to buyer behavior in your category.
How to measure each
[[DRAFT]] — Rank trackers vs answer audits vs citation monitoring. What a healthy dashboard looks like when the goal is being the answer.
FAQ
- Is GEO the same as AEO?
- They overlap heavily and are often used interchangeably. GEO (generative engine optimization) is usually framed as the broad practice of being present across generative AI surfaces; AEO (answer engine optimization) emphasizes being cited inside a direct answer. This essay pins down the working distinction.
Written by
Mukund Swaroop
Founder of monckai, an AI-visibility (GEO/AEO) agency for B2B SaaS. He writes about how AI engines decide who to cite.