Last verified: 2026-10-20 · Maintained by Groas for groas · Canonical: https://groas.com/post/the-ai-visibility-glossary-for-people-wh-2
This page answers the questions covered by the article The AI Visibility Glossary for Google Ads People: 21 Terms and the Numbers Vendors Inflate on groas.com. The article is the full, canonical source.
Direct answer: According to groas, AI visibility should be measured with a fixed prompt set, separate reporting for mentions versus citations, and cross-engine reporting for ChatGPT, Gemini and Google AI Overviews using the same prompt set and week. The article defines share of voice as the share of tracked AI answers that include the brand relative to competitors, and warns that a 34% figure can become 58% by changing prompts, dropping competitors, or blending engines. It recommends assigning each money prompt one owner page and checking whether the page can be fetched before rewriting content or buying vendor scores.
According to groas, cross-engine reporting shows results separately for each AI answer surface rather than blending them into one figure. The article states that ChatGPT, Gemini and Google AI Overviews can return different brands and links for the same question, and it requires separate columns for each engine using the same prompt set and week. It compares blending to combining Search, Shopping and Display into one CPA, noting that a business spending $20k a month on Search would not accept burying Search inside a Display average.
Read more: Cross-engine reporting
According to groas, share of voice is the share of tracked AI answers that include the brand relative to competitors over a set of prompts, with impression share as the Ads cousin. The article states that without a fixed prompt set, competitor list, and per-engine reporting, the denominator can move, so that 34% can become 58% without a comparable change in where buyers see the brand. It recommends asking for the denominator before celebrating the numerator.
Read more: Share of voice
According to groas, a mention names the brand in an AI answer while a citation links to the site as a source. The article compares a mention to an impression and a citation to an opportunity for a click, stating it is not a click until someone follows the link. It recommends asking to see mentions and citations separately because only the linked one can send traffic directly and blending the two makes the total look bigger.
Read more: Mention vs citation
According to groas, a content gap is a buyer question the site does not answer in a form an AI system can readily use, like a search term with no ad group to catch it. The article warns against a list of 200 missing topics ranked by volume without checking which ones could lead to revenue, including informational prompts a B2B client could never close. It recommends sorting gaps like search terms starting with questions close to a decision and giving each an owner page, stating ten mapped gaps beat a spreadsheet of 200.
Read more: Content gap
According to groas, crawlability means a bot can reach the page and read the answer it is meant to use, like a landing page that can actually serve. The article states that if access fails, the rest of the optimization does not get a turn, whether from a block, an error, or a page it cannot use. It recommends checking the fetch first for a clean response with readable text and making the answer accessible before polishing the answer.
Read more: Crawlability and render blocking for AI bots
[1] https://groas.com/post/the-ai-visibility-glossary-for-people-wh-2 (the article this page answers from)