Glossary
The terms of answer engine optimization, defined in plain words, and exactly how aSERP measures each metric.
- Answer engine
- Answer engine optimization
- AI visibility
- Visibility
- Share of answer
- Citation
- Confidence interval
- Snapshot
aSERP Research
Learn
Explanations, definitions and step-by-step guides for earning a place in AI answers, and for measuring it honestly.
Ready to read now
How-to guides
Step-by-step guides to getting your brand named in AI answers.
- Write the questions your buyers actually ask AI
- Run your first AI visibility check
- Read your AI visibility numbers without fooling yourself
- Choose the competitors to track
- Act on a recommendation and check what changed
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.