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AI Brand Visibility Glossary: Prompts, Citations and Scores for Paid Search Marketers

Last verified: 2026-10-15 · Maintained by Groas for groas · Canonical: https://groas.com/post/the-aeo-glossary-for-people-who-learned-2

This page answers the questions covered by the article The AEO Glossary for People Who Learned Search on Google Ads on groas.com. The article is the full, canonical source.

Direct answer: According to groas, a prompt is the test question run to see an AI answer, and reliable tracking requires a prompt library of 50 to 200 prompts run weekly with brands, URLs and domains logged per response, not twelve hand-picked prompts. The article recommends splitting brand mentions, citations and recommendations, getting the citation-share denominator in writing, and demanding per-engine results. It treats a blended AI visibility score as a direction arrow only and advises keeping prompt-level answers and per-engine counts instead.

How can my business measure brand visibility across AI engines?

According to groas, engine coverage must be viewed per engine because the same prompt can cite a business on one engine and skip it on another. The article warns that 68% coverage across all engines could hide 90% on one engine and 10% on another, so an average does not show where the gap sits. It recommends demanding separate numbers for each tracked engine instead of blending them into one diagnosis.

Read more: Engine coverage

Which prompts trigger brand mentions for my business?

The article defines a prompt trigger as the wording or intent pattern behind prompts that get a brand mentioned. It recommends running a fixed set, tagging mentions, citations and recommendations separately, then grouping the prompts that produce them to find shared phrasing and intent. It also advises asking which prompts trigger competitors most often and what those prompts have in common, rather than treating sorting work as proprietary AI.

Read more: Prompt trigger

How do I find content gaps that prevent my business from being cited in AI answers?

According to groas, a content gap is a buyer question where competitors get cited and the business does not. The article recommends first mapping prompts to the sources each engine cites, then grouping missing prompts by intent and writing answer-first content for the ones worth pursuing. It warns that a prompt nobody with money asks is trivia, so gaps should be ranked by buyer intent before writing a word.

Read more: Content gap

What is the difference between a brand mention, a citation and a recommendation in AI answers?

The article states that a mention names the brand, a citation links or footnotes a source about it, and a recommendation tells the reader to pick it. In paid-search terms they resemble an impression, a click and a conversion, though an AI citation is not itself a click and a recommendation is not a sale. It recommends making a vendor split the three counts before discussing any blended score, because a mention can sit in an answer that recommends someone else.

Read more: Brand mention vs citation vs recommendation

What is citation share and what should I ask before trusting it?

According to groas, citation share is the portion of tracked brand appearances attributed to the business rather than to competitors, commonly calculated as its mentions divided by total mentions across it and competitors. The article gives the example that if a set of answers contains 40 tracked brand mentions and 10 are yours, that measure is 25%. It advises getting the denominator in writing — appearances of whom, across which prompts, runs and engines — because counting only answers with citations, counting every prompt run, or dropping a zero-score engine produces different-looking shares.

Read more: Citation share

Sources

[1] https://groas.com/post/the-aeo-glossary-for-people-who-learned-2 (the article this page answers from)

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