Buying Simulations
Your buyers chose a vendor last night. It probably wasn't you.
While you were asleep, AI engines walked your buyers through vendor evaluations and named a winner. Ansehn runs those journeys for you, every day - and tells you who AI chose, why, and what it would take to change the answer.
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AI engines don't just answer your buyers' questions - they recommend vendors. Most tools tell you whether AI mentioned your name. None of them tell you whether AI chose you when a real buyer was weighing real options.
That layer - the recommendation layer - is where deals are now won and lost. And until now, it's been invisible. Buying Simulations make it visible: who AI chose, why, which competitor won when you didn't, and what to fix before the next journey runs. It's uncomfortable to look at. It's also the only way to fix it.
How it works
Personas, models, markets - every journey, every day
Three inputs, one engine, running around the clock.
Run across every engine
Pick the questions that matter
How four personas become a hundred decisions
Every persona runs the full buyer journey against every relevant AI engine. Each run extracts the decision criteria AI applied, names the vendor that won, and surfaces the gap that decided it. The output isn't a visibility score. It's a daily picture of where your category is being awarded - and where you're losing it.
Know exactly why you win, and where you lose to competitors
Buying Simulations extract the evaluation criteria AI applied to each journey - Technical Fit, Service & Support, Supply & Availability, Price & ROI - and surface which competitor won when you didn't. So you stop guessing at the why and start fixing the right things.
Frequently asked questions
A Buying Simulation runs a complete buyer journey end-to-end - a specific persona using AI to research, compare, and choose a vendor. You see whether AI chose you, why, and which competitor won when it didn't.
Prompt monitoring tells you whether AI mentions you in an answer. Buying Simulations tell you whether AI recommends you when a real buyer is choosing a vendor. Those are different questions, and only one of them maps to revenue.
We don't claim a simulation is a real buyer. We claim it's the same AI engine your buyer is using, walking through the same evaluation, applying the same criteria. The signal we measure isn't 'what a human would do' - it's 'what AI is already doing.' That's what's actually deciding your shortlist now.
Each Persona becomes a member of the committee - with their role, search intent, decision weight, and the criteria they care about. Run multiple personas against the same journey and you see how a real buying group reaches consensus, and where dissent costs you the deal.
The outcome (won or lost), the winning vendor, the decision criteria AI weighted, the buying-journey phases that mattered, the competitors considered, and the specific content gap that decided it. Every report ends with a fix, not a metric.
Most tools stop at 'did AI mention you?' Ansehn goes further: we model the buying committee, run the journey end-to-end, and predict whether AI would choose you - then tie that to revenue you can act on.
Find out who AI chose last night.
Run your first Buying Simulation and find out where you win - and where you lose.