Intelligence for the AI decision layer.
Buyers now ask ChatGPT, Gemini and Perplexity before they ask you. Those answers already compare, rank and recommend brands in your category — shaping demand before anyone reaches your site. Radar37 measures your position in that decision layer, and shows you how to lead it.
A generation of growth was built on ranking in search. The next will be built on being the answer. This transition is already underway — and it changes who customers ever consider.
Buyers searched, scanned a page of links, and chose. Visibility was a ranking you could measure and influence.
They put the question to an assistant and act on one synthesised answer — often without a single click to your site.
The model's recommendation is the shortlist. If you're not in it, you're not in the consideration set at all.
Because the answer layer is unmeasured, the damage compounds quietly. By the time it shows up in revenue, competitors have owned the recommendation for months.
If AI consistently names a rival first, it quietly becomes the category's preferred choice in every buyer's mind.
Slip out of the answer for high-intent questions and you lose presence exactly where decisions are formed.
Interest that once reached you through search is now resolved inside the answer — demand you never see.
Your brand's narrative is increasingly written by sources you don't control — and you have no read on it.
The brands that measure the answer layer first will shape it. The rest will inherit whatever AI decides.
Most tools count mentions. Radar37 evaluates how AI actually treats your brand — across six signals that map to real influence, not vanity metrics.
Share of all AI answers that mention the brand at least once.
Reader-impression score, −100 to +100. A neutral-toned scandal still reads negative.
Raw count of valid mentions across the tracked set.
Mean reading-order rank — counted only in genuinely comparative answers where competitors also appear. Otherwise null.
A verdict per prompt, from citation rate × platform spread × sentiment.
Of all answers where competitors appear, how often the brand is one of them.
Where the answers that cite you come from — the credibility behind your visibility.
AI doesn't invent opinions — it assembles them from sources it trusts. Radar37 instruments every stage from raw source to customer decision, so influence becomes traceable.
Radar37 instruments the full chain — and shows you where to intervene to change the outcome.
Each signal rolls up into strategic intelligence your leadership can act on — competitive, source-level, market-wide, and decision-level.
Track your share of voice and ranking against every rival, per prompt and per engine — and see the moment a competitor starts winning the recommendation.
See which sources — review platforms, communities, editorial, your own domains — shape the answers about you, so you invest where credibility is actually built.
Watch how the answer space for your market moves over time — emerging topics, shifting sentiment, and where the category conversation is migrating.
Signal Detection grades each prompt Winning, Watch or Gap and resolves it into an action map — the fastest paths to becoming the recommended answer.
Every view answers a leadership question: where do we stand, where are we losing, and what should we do next.
The share of AI answers in your category that include your brand.
| Owned | Review | Comm. | Editorial | Expert |
|---|
Every number on the dashboard is the output of a measurement pipeline — multi-engine, validated and calibrated. This is what runs behind a single reading.
Every prompt is run across ChatGPT, Gemini and Perplexity. Presence is read per model, never assumed from one.
Thousands of prompt variants mapped to real buying-journey intent — not a handful of vanity queries.
Each response is analysed at the token and citation level to detect mentions, reading-order position, and the sources behind them.
Proper-noun match, brand-context alignment and hard filters strip false positives, refusals and clarifications before anything is counted.
Scored by the impression left on a reader, not the writer's tone — a neutrally-written negative still reads negative.
Every citation resolved into one of nine source types, first-match-wins, then attributed back to the brand and topic.
Sampling volume and frequency scale to the confidence a decision needs — with the statistical tradeoffs made explicit, not hidden.
Shaped alongside experts who have driven growth for category-leading brands — the judgment of specialists, engraved into the methodology.
Six signals — visibility, share of voice, position, sentiment, citations, detection — instead of a single mention count that flatters and misleads.
Sampling volume and tracking frequency scale to the certainty a decision demands — enterprise-grade rigour, not a one-off snapshot.
New engines and surfaces fold into the same framework, so your view of the AI decision layer stays complete as it evolves.
No tiers to decode, no seat math. You pay only for what you measure — each tracked prompt, fully analysed across every engine.
Every tracked prompt — run, parsed and graded end-to-end — billed as one predictable unit.
Each prompt is measured across every major engine, with multiple runs and full token-level analysis — the depth other tools wrap in platform fees, priced as one transparent unit. The most precise reading in the market, and the most cost-effective.
True intelligence begins with awareness. Radar37 brings it to the answer layer — where AI now decides who gets seen, trusted and chosen.
See exactly how AI evaluates, compares and recommends your brand — and get the plan to lead your category as discovery shifts to the answer.
✓ See how ChatGPT, Gemini & Perplexity describe and recommend your brand · free · no credit card