Features · Measure

Buyer questions: what your buyers ask AI, asked properly

Everything in CiteGraph starts from the question set. We mine the buyer questions your category actually gets asked (from your own site and the way engines phrase them), then run each one repeatedly on every engine, every week. Each question carries one square per answer, its per-engine record, and the brands winning it, so the tracked list is a working asset, not a keyword dump.

How it works

01

Mined, not guessed

The first scan reads your site and drafts the questions a buyer in your category asks: comparisons, alternatives, pricing, use cases. You edit the set anytime; the next scan follows it.

02

Every question, repeated runs

Each question runs 3 to 5 times on each engine your plan asks (all four on Starter and Growth). One run is an anecdote; the spread across runs is what makes the number on each question trustworthy.

03

Scored where you manage it

The tracked list shows one square per answer and who is named most, per question; open one for each assistant's record (whether it named you or cited your site, the rivals it named and the pages it cited), so pruning and adding questions is an evidence-based edit.

In depth

Per-engine record on every question

Expand any question to see how each engine treated it: named 2/5 on Perplexity, 0/5 on Gemini, 0/5 on ChatGPT reads very differently from a flat 13%, and tells you which engine's sources to go work on.

Questions by plan, honestly priced

Starter and Growth track 10 questions per project on all four engines, and ChatGPT Only tracks 20 on ChatGPT alone, each asked 3 times per engine in every weekly scan; a scan you start on Growth asks each one 5 times. The limit exists because every question costs real API money to ask again and again, which is also why each one's number can be trusted.

Fresh angles, weekly and grounded

Every scan proposes a few questions your category's answers keep orbiting that you don't track, each with its stated basis in the actual answers (a repeated comparison, a use case the engines volunteer). It refreshes weekly because the answer corpus does. What it is not: a 'trending prompts' feed dressed in volume numbers nobody can verify.

Your edits drive the next scan

Add a question your sales calls keep hearing, drop one that stopped mattering: the change saves instantly and the next weekly scan measures the new set. History stays intact for questions you keep.

What we won’t claim

What we won't show: estimated “prompt volumes.” Nobody outside the engine companies has real AI query volume data, and a made-up volume score would just be keyword-tool numbers wearing a new hat. We rank questions by what we can actually measure: how often you win or lose them.

Related
Answers →Lost answers →Share of voice →

Common questions

How does CiteGraph choose which prompts to track?+

The first scan reads your site and mines the buyer questions your category gets asked (comparisons, alternatives, pricing and use-case questions), phrased the way people actually ask AI assistants. You can edit, add or remove questions at any time, and the next scan follows your set.

How often does each prompt run?+

Weekly, 3 times per engine. On Starter and Growth that is each of 4 engines: 12 answers per question per week, and 20 in a scan you start on Growth, which asks 5 times. ChatGPT Only asks ChatGPT alone, 3 times a week. That repetition is what lets every rate print with a margin of error instead of pretending one answer is the truth.

Can I see how each engine answers a specific question?+

Yes. Every question expands into its per-engine record (named and cited counts per engine), and every raw answer is stored verbatim on the Answers page, with citations.

Does CiteGraph have trending prompts?+

We ship the honest version, New angles this week: questions proposed from your latest scan's actual answers, each carrying the basis that suggested it, refreshed weekly because the answers are. What no tool can honestly ship is prompt 'traction': real AI query volumes aren't published by anyone, so a trending feed claiming measured demand is repackaging keyword data or guesses.

Why don't you show prompt search volume?+

Because real AI query volumes aren't published by anyone; any tool showing one is estimating from web search data that lags AI behavior. We'd rather rank your questions by measured wins and losses than decorate them with a number nobody can verify.

Said in public

“This is what a useful audit tool should do: make the next move obvious”

See it on your own domain.

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