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GEOA · Generative Engine Optimization methods and standards

GEO (Generative Engine Optimization) makes generative AI cite and describe your content accurately when answering questions.

Definitions, methods, metrics and evaluations for GEO, AEO, GAO and LLMO. This site only publishes methods you can follow, verify and reproduce. It never promises results that cannot be verified.

Four definitions, four clear boundaries

GEO

Generative Engine Optimization

Make generative AI cite and accurately describe your content when answering questions.

Entry pending publication

AEO

Answer Engine Optimization

Make AI treat your content as the direct answer to a specific question.

Entry pending publication

GAO

Generative AI Awareness Optimization

Make AI understand and recommend your brand accurately and positively.

Entry pending publication

LLMO

Large Language Model Optimization

Shape how large language models recognize, mention and describe your brand.

Entry pending publication

The method path: the six-hop evidence chain

A claim must complete all six hops to become a citable source. Any broken hop downgrades it.

  1. Hop 1

    Discoverable

    robots allows crawling and the sitemap lists the page.

  2. Hop 2

    Openable

    The URL is stable and the body does not depend on JavaScript.

  3. Hop 3

    Extractable

    A short, self-contained conclusion appears above the fold.

  4. Hop 4

    Verifiable

    Key claims carry source, date and locator.

  5. Hop 5

    Attributable

    Author and publisher use fixed @id values.

  6. Hop 6

    Corroborable

    The claim is cited by verifiable third parties off-site.

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Metrics at a glance

All metrics

Whitepapers

Version 1.0 · Published 2026-11-09

GEO Methodology Whitepaper v1.0: From Being Indexed to Being Cited

A citable GEO method: six-hop evidence chain, metric standards, implementation path, evidence levels, and stated limits.

Read online

Templates and checklists

No templates published yet. Once released, you can check items off one by one.

FAQ

No Q&A published yet. You can start with the method pages.

Author and editorial policy

Author

Xingge

GEOA method research, focused on how Chinese LLMs cite and describe brands accurately.

Entity https://shingle.com.cn/#person

Author profile

Our topic standards, fact-checking process, AI usage notes and correction mechanism are public on the Editorial policy page. If you find an error, please report it through the Contact page.