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Search strategy

SEO, AEO and GEO: what changes?

SEO, AEO and GEO describe overlapping ways to improve discovery. The terminology is not perfectly standardized. The useful distinction is the result you are trying to improve and the evidence you use to measure it.

By Astle AI · Updated

Compare the goal, output and measurement

These categories overlap. A strong product page can support search results and AI answers at the same time. Different platforms also use different retrieval and presentation systems, so a result from one engine should not be generalized to all the others.

Compare the goal, output and measurement
ApproachPrimary focusExamples of evidence
SEO: search engine optimizationFindable, relevant pages in search resultsIndex coverage, impressions, clicks and useful visits
AEO: answer engine optimizationAccurate, useful representation in direct answersAnswer inclusion, brand mentions and cited sources
GEO: generative engine optimizationHow generative systems discover and synthesize a businessSampled responses, citation patterns and factual accuracy

The shared work is usually the first priority

Make important pages accessible, provide stable canonical URLs and connect them through useful internal links. Write specific descriptions of the product, its intended users, limitations and evidence. Keep outdated claims and contradictory pricing from spreading across different pages.

For example, a software product's integrations page can answer an ordinary search query, support a comparison and provide a source for a generated response. The page earns that usefulness through accurate details and a clear structure, not by repeating three different optimization acronyms.

Keep measurements separate

A website audit measures implementation. Search performance data measures search behavior. A model-response sample measures the response produced by a particular prompt and configuration. A score from one system is not a substitute for evidence from another.

If mentions improve after a release, retain the before-and-after answers and record other changes that could explain the result. If clicks fall while impressions remain stable, inspect the affected queries and pages before attributing the change to AI. The labels are useful only if they help you ask a more precise question.

Choose work by the bottleneck

Astle AI separates the technical audit, repository fix and API tracking workflows for this reason. You can investigate one bottleneck without pretending that every issue is a visibility problem.

  • If important pages cannot be reached, fix crawl access and linking first.
  • If readers cannot understand the offering, improve the product explanation and supporting evidence.
  • If the business is described incorrectly, identify the contradictory or outdated sources.
  • If you cannot tell whether anything changed, set up a repeatable measurement process.

Further reading

Start with your own website.

Run a free technical audit, inspect the evidence and choose your next step.

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