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aSERP Research

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Explanations, definitions and step-by-step guides for earning a place in AI answers, and for measuring it honestly.

AEO Guide

How answer engines choose the brands they name, and how to earn a place in the answer.

  1. What is answer engine optimization?
  2. Where do AI answers come from?
  3. How do answer engines decide which brands to name?
  4. Which answer engines matter, and how do they differ?
  5. What works, and what is myth?
  6. How do you measure visibility in AI answers?
  7. How do you turn measurement into action?
  8. Where to start
  9. Questions people ask
  10. Sources, and how this guide was made
10 chaptersAbout 25 minPublished 11 Oct 2026Start reading

Glossary

The terms of answer engine optimization, defined in plain words, and exactly how aSERP measures each metric.

59 terms

How-to guides

Step-by-step guides to getting your brand named in AI answers.

5 guides

How we work

Every Learn page is prepared and checked by aSERP Research, the team behind our own measurements. A writer is responsible for each page; a second reviewer checks every claim against its source; whoever owns our metrics signs off every sentence about how aSERP measures. Outside facts carry their source and the date we checked it. Our own figures come only from our research questions; each figure carries its dates, its sample size and its 95% interval, computed the same way every time. Tactics carry an evidence grade. When we get something wrong, we fix it and add a dated note that says what changed. Spotted an error? Tell us.

Find out whether AI names your brand.

A first look: three of your buyers' questions, six engines, one capture. Daily tracking turns it into a trend with a range.

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