Find out how much. Prevent the next one.
Early Access · 20 seats · GDPR-native
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You have no idea what AI is telling your buyers about you.
Before they fill out your form. Before your sales team knows they exist. An AI platform has already answered their question. With or without you in the response.
When a buyer researches vendors on an AI platform and then arrives on your site, they arrive without context. No referral source. No search. No signal. Your sales team follows up blind. Slower, less targeted, lower win rate.
This loss is already inside your revenue data. You cannot see it yet because the signal was never captured.
Revenue at risk in one quarter. One NL B2B company. Measured.
For the revenue teams who need to know what AI is saying about them before the deal is gone.
What AI platforms say about you across the searches your buyers are actually running. trustidex. runs controlled Recommendation Probability™ (RP™) searches on your behalf across ChatGPT, Perplexity, Gemini, and Claude, and records every response. You see appearance probability, not guesswork.
Which searches mention you, which skip you, and which send buyers to a competitor. trustidex. classifies AI-touched sessions when they arrive on your site, so your team can see the pattern between what AI recommends and who actually shows up.
Your team stops following up blind. AI-touched sessions are surfaced separately in your acquisition reports. Crawler activity from AI bots is monitored as an early warning. You have the signal to act, not just data to observe.
Not a marketing tool. Not an AI monitoring report. Revenue signal infrastructure for the teams whose number goes down when AI gets it wrong.
You are measured on quota and closed revenue. When AI sends buyers elsewhere, your number drops and you have no way to track it.
You select the searches that matter to your business. trustidex. runs those searches across ChatGPT, Perplexity, Gemini, and Claude using our RP™ methodology. Every response is logged. Whether you appeared, were skipped, or a competitor appeared instead.
The result is your Recommendation Probability™ (RP™) score, updated each report cycle.
When a buyer arrives on your site after using an AI platform, trustidex. recognises the referrer and records the session as AI-touched. That signal surfaces directly in your analytics platform and CRM acquisition data.
Your team follows up with context they did not previously have.
AI crawlers visit your site before AI platforms recommend it. trustidex. monitors crawl frequency as an early warning signal, giving your team lead time before RP™ scores shift.
85 to 90 percent. Not 99.
Recommendation Probability™. How often AI platforms mention you in the searches your buyers are asking.
AI appearance patterns are not stable. A single search run once produces a reading, not a measurement.
This methodology was developed with a specialist in probabilistic systems. The same mathematical discipline used in quantitative finance to price risk under uncertainty. Our number is 85 to 90 percent. Competitors claim 99 percent. You cannot get 99 percent certainty from a system built on probability. That number is marketing, not math.
trustidex. runs each search multiple times per cycle, across a stratified set that represents how your buyers actually search. Results are analysed to separate stable signal from statistical drift.
How often each company appears
when NL buyers search on AI.
Demo data. NL staffing sector. Your sector looks similar.
How often AI platforms name your company in the searches your buyers actually run. Measured, not estimated. Updated each cycle.
↗The annual revenue exposed when 2 in 3 AI searches send buyers to a competitor instead of you. Calculated from your actual search set.
↗Of 47 buyer searches measured, you appeared in only 11. The other 36 sent buyers to competitors. Each search run across ChatGPT, Perplexity, Gemini, and Claude.
↗“We had no idea how much AI-generated demand we were losing. We manually checked and realised we needed a better way.”
Head of RevOps · Netherlands
20 companies. Reviewed individually. Approved before onboarding.
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