AI engines don’t rank pages — they cite, recommend, and narrate. Answer Radar monitors every mention, citation and sentiment signal your brand receives across ChatGPT, Claude, Gemini, Perplexity and AI Overviews — nightly.
A rank tracker tells you where a page sits in a list. But when a model composes an answer, there is no list — there’s a narrative that names one or two brands, frames them in a sentence, and cites its sources. You’re either in that narrative or you don’t exist.
Answer Radar samples the 412 buyer prompts that matter in your category, every night, across every major engine — and turns the black box into a number your board can read: share of answer.
§Six layers of visibility data
i.
Citation tracking
Every page AI engines cite when answering queries in your category — frequency, recency, and which of your URLs (or competitors’) carry the answer.
ii.
Sentiment analysis
Whether models frame you positively, neutrally, or with caveats — and drift detection that catches a shift before it compounds into lost recommendations.
iii.
Platform breakdown
ChatGPT, Claude, Gemini, Perplexity and AI Overviews scored separately. Each model behaves differently; your strategy should too.
iv.
Competitor benchmarking
Your citation share, sentiment and recommendation rate against every competitor, on every tracked prompt. Wins and losses, named.
v.
Query coverage
Which prompts trigger your brand versus the whitespace competitors dominate — the map of where the next intervention earns most.
vi.
Trend detection
Week-over-week shifts in visibility, sentiment and citations — so a model update that touches your brand is caught the week it happens.
§What a month reads like
One row per engine, one number per row. The prompt set is yours — sampled nightly, benchmarked against competitors.
GoogleRankings and snippets held; two new featured snippets in the comparison cluster.61%
AI OverviewsCited in overviews for 7 of 12 commercial prompt groups — up from 4.58%
ChatGPTNamed in shortlists for the core category; description accuracy corrected.44%
PerplexitySourced on 9 of 10 category questions; brand page now a recurring citation.72%
SHARE OF ANSWER — % OF SAMPLED PROMPTS WHERE THE BRAND IS NAMED OR CITED
Your first benchmark takes two weeks and costs nothing but the call to start it.
“The first report showed Gemini recommending a competitor by our brand name. We’d never have known.”
CMO, FINTECH
Two ways: the prompt set and the response. Off-the-shelf tools sample generic prompts; Answer Radar runs the 412 questions your buyers actually ask, built from your category’s real search and community data. And every gap it finds feeds a team that can fix it — tracking without intervention is just watching yourself lose.
The percentage of sampled buyer prompts where your brand is named or cited, per engine, per month. It’s the AI-era equivalent of share of voice — a single number leadership can track, benchmarked against competitors, with the receipts attached.
ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews as standard, plus Grok and category-specific engines where your buyers use them. Coverage follows your audience, not our tooling.
Yes — the benchmark and monthly tracking run standalone. Most clients start there: two weeks to the first report, and the data makes the case for whatever comes next, or doesn’t. Rule three applies.