47% of B2B buyers now start researching vendors on AI — not Google.1
A screenshot tells you what happened once. A signal tells you what is likely to happen again.
Citeos shows you which AI searches send buyers to a competitor — with the exact revenue at risk — and what to fix to reclaim it.
First cohort · 20 companies · GDPR-native
No commitment. We review every application and confirm your place before the pilot begins.
You have zero visibility into the moment your buyer forms an opinion about you.
Before they fill out your form. Before your sales team knows they exist. An AI system has already answered their question — with or without you in the response.
When a buyer researches vendors using AI and then arrives on your site, they arrive without context. No referral source. No query. No signal. Your sales team follows up blind — slower, less targeted, lower win rate.
This loss is already inside your pipeline data. You cannot see it yet because the signal was never captured.
For the revenue teams who need to know what AI is saying about them before the deal is gone.
What AI systems say about you across the queries your buyers are actually typing. Citeos runs controlled Recommendation Probability™ (RP™) queries on your behalf — across ChatGPT, Perplexity, Gemini, and Claude — and records every response. You see citation probability, not guesswork.
Which queries name you, which skip you, and which send buyers to a competitor. Citeos 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 dashboard. Not a visibility tool. Revenue signal infrastructure for the teams that feel the direct cost of inbound arriving without context.
You select the queries that matter to your business. Citeos runs those queries across ChatGPT, Perplexity, Gemini, and Claude using our RP™ methodology. Every response is logged — whether you were named, skipped, or a competitor recommended 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, Citeos 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 systems recommend it. Citeos monitors crawl frequency as an early warning signal — giving your team lead time before RP™ scores shift.
What others can't measure
we do.
Your RP™ Score — how often AI recommends you, measured by the Recommendation Probability™ System
AI citation patterns are volatile. A single-query snapshot is noise, not signal.
This methodology was developed with one of the world's leading mathematicians in stochastic systems — the same field used in quantitative finance to price risk under uncertainty. Our number is 85–90%. Competitors claim 99%. You cannot get 99% certainty from a system built on probability. That number is marketing, not math.
Citeos uses RP™ methodology: queries run multiple times per cycle across a stratified prompt set representative of how your buyers actually search. Results are analysed using binomial confidence intervals to separate stable citation signal from statistical drift.
"We had no idea how much AI-generated demand we were losing. We manually checked and realised we needed a better way."
— Early pilot registrant · Head of RevOps · Netherlands
Refer a colleague and you both get priority review for the first cohort.
Refer 1 colleague in RevOps or Sales Ops → you both move to the front of the waitlist
Refer 3 colleagues from your industry → guaranteed place in the first cohort