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GEO by Engine

Compare retrieval, citation, and access rules to set investment priorities.

Best for
SEO leads, growth marketers, GEO consultants.
Before you start
GEO 101 Steps 1–4.
By the end
You can prioritize engines and separate shared work from engine-specific work.
Start at step 1 →
  1. Mapping the engines: what varies, what doesn't

    Use the answer loop as a common map, then compare how engines differ in retrieval, source selection, attribution, and crawler control.

    Time: 10 min

  2. ChatGPT Search

    Separate ChatGPT's training and search crawlers, then examine when web retrieval occurs and how citations appear when Search uses external sources.

    Time: 12 min

  3. Perplexity

    Study a citation-forward answer engine with visible source links, then use that observability to design careful comparisons across query and product modes.

    Time: 12 min

  4. Google AI Overviews & Gemini

    Compare AI Overviews and Gemini on the Google stack, focusing on when retrieval occurs and how Googlebot and Google-Extended apply to different uses.

    Time: 15 min

  5. Claude & Bing Copilot

    Evaluate Claude and Bing Copilot by audience fit, retrieval context, and existing platform dependencies rather than treating either as a default priority.

    Time: 10 min

  6. AI engines in China

    For audiences in China, evaluate Baidu, Doubao, Kimi, and DeepSeek on their own retrieval, source-display, access, and publishing conditions.

    Time: 15 min

  7. Cross-engine synthesis

    Separate shared foundations from engine-specific refinements, then use maturity and audience evidence to decide which differences deserve dedicated work.

    Time: 20 min