What GEO is: from search rank to being cited by AI

The search box is giving way to conversation. Buyers no longer scan ten blue links — they ask DeepSeek, Doubao, ChatGPT, or Perplexity: “Which option fits us?” The brand named in the answer is the one that got seen.

GEO (Generative Engine Optimization) is the work of showing up in those answers — and being cited with facts a model can check.

How it differs from SEO

SEO optimizes rank. GEO optimizes mention and citation.

• A search engine returns links. The user chooses.
• A generative engine returns an answer, sometimes with sources. Many users stop there.

Keyword-stuffed titles are not enough. Models need extractable, checkable material: a stable product definition, comparable facts, consistent entity names, and sources they already trust.

Why AI skips you

The usual reasons are mundane:

1. Nothing on the page is citable. Slogans, no specs, no scenarios, no evidence.
2. The brand entity is unstable. Chinese and English names, product lines, and the official domain disagree, so the model will not bind you to the category.
3. A competitor is easier to quote. They have reviews, docs, category pages, and third-party mentions. You have a homepage.
4. The door is closed. robots.txt, a login wall, or a thin llms.txt keeps crawlers off the body copy.

Three things you can verify

1. Probe with real questions. Ask the engines the words customers actually use. Record who is mentioned, and in what role.
2. Publish one citable page. An article that answers a specific question beats ten vague “insights.”
3. Retest the same questions. Progress is a change in mention and citation on a fixed prompt set — not a prettier layout.

CitePath turns those three steps into a watch loop: see the answers, see the gap, change something, measure again. GEO is not a new jargon set. It is making “being cited by AI” a weekly, checkable operating metric.