No query list required. Desvela discovers the 5–30 questions buyers actually ask AI in your category — plus your competitors and domain — and freezes them as a prompt set. The first run is an audit: it establishes your baseline, silently.
AI Brand Watch asks the questions that define your category to ChatGPT, Claude, Perplexity and Gemini — on your schedule — and alerts you the moment your mention rate changes. It measures the answers, mentions, citations, position and competitors the models return for those queries.
Pay per check · no subscription
No query list required. Desvela discovers the 5–30 questions buyers actually ask AI in your category — plus your competitors and domain — and freezes them as a prompt set. The first run is an audit: it establishes your baseline, silently.
Each question is asked several times per engine, because AI answers vary. You get mention rate — the % of answers that mention you — plus competitive share of voice, owned vs earned citations, and the sources each engine cites. Every scheduled run measures the same frozen questions, so the number is comparable week to week.
You appeared, disappeared or shifted 25+ points — with the reason, the before/after, and the new source or competitor that explains the move. Delivered as a signed webhook your systems can verify and to your Apify dataset; pipe it on to Slack, email or Zapier through Apify's integrations.
No login, no charts to interpret. When something changes, you get the event: what changed, before and after, and the source that changed the engine's mind — so your next move is obvious.
Before charging anyone, we ran Brand Watch on two businesses we own. Full disclosure: these are our brands — that's why we can show you the raw numbers.
Mention rate: 0% across ChatGPT, Claude, Perplexity and Gemini — completely invisible.
But the run returned the exact sources the engines cite instead: YouTube dominates, and Arweave, IPFS and OpenTimestamps own the category. That list is the GEO to-do list — one run, ~$5.
Brand mentions: 0%. Yet its URL is cited by Perplexity in 4 of 5 queries.
Brand mention and source citation are different metrics — we measure both. And each engine cites a different ecosystem: Gemini favors photo blogs, Perplexity cites the store and Reddit. Competitor benchmark included (Manfrotto: 100% on the head query).
On the purchase-intent query — "where to buy" — the store appeared in 1 of 3 samples on Perplexity.
A single check would have called that yes or no at random. Sampling turns it into a rate worth tracking — the weekly watch now guards exactly that number, and alerts only if it moves.
| Event | Price |
|---|---|
| Actor start | $0.02 |
| Brand query checked (per query × engine, all samples included) | $0.08 |
| Prompt discovery (zero-config only, when a prompt set is generated) | $0.04 |
| GEO recommendations (opt-in, only charged when delivered) | $0.04 |
| Sentiment (opt-in, per measured cell) | $0.04 |
| Change alerts | free |
Typical setup — 20 queries × 2 engines, weekly: ≈ $14/month (the SaaS equivalent charges $99–300/month flat).
Turn on includeRecommendations and get 3–5 concrete GEO actions from that run's data — which sources each engine cites, where competitors win — grounded in your actual results, not generic advice. Turn on includeSentiment and each measured cell also carries a positive/neutral/negative label — $0.04 per cell, never triggers alerts.