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13 August 2026·AEO · SEO · AppTime Cite

AEO vs GEO: what brands should track in AI search

Answer engine optimisation and generative engine optimisation sound similar. Here’s the practical difference — and the metrics that matter for market recognition.

Marketing blogs now split AI search into AEO and GEO. Useful shorthand — if you know what to measure.

Quick definitions

  • AEO (answer engine optimisation) — earn a place inside generated answers: ChatGPT, Perplexity, Gemini, AI Overviews.
  • GEO (generative engine optimisation) — the broader discipline of being selected, cited, and trusted by generative systems — content, entities, proof, and distribution.

Treat them as one job with two lenses: are you named? and are you the source the model prefers?

What to track (not vanity)

  1. Citation share on category prompts that drive revenue
  2. Competitor swaps — when another brand replaces you in answers
  3. Entity clarity — can a model map your brand to a category in one sentence?
  4. Proof density — case studies, comparisons, specs models can quote
  5. Classic SEO health — AI search still leans on crawlable, authoritative pages

Industry publishers (for example the Neil Patel blog AEO / GEO category) keep pushing the same shift: discovery is no longer only ten blue links.

AppTime’s take

If you cannot see citation losses week to week, you are flying blind. That is what AppTime Cite is built for — recognition signals, not another traffic vanity chart.

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