Customer Simulation

Stress-tests your product concepts against AI buyer personas built from real review data — before you commit capital. Catch the spec gaps that kill conversion in minutes, not months.
Pattern

How It Works

Customer Simulation constructs synthetic buyer personas — the spec-obsessed Reddit researcher, the safety-anxious parent, the deal-hunting comparison shopper — calibrated against real review language and competitive spec benchmarks from the Golden Master Ontology.

It runs your proposed PDP, pricing tier, or new SKU concept through each persona and predicts exactly where they abandon. "Technical Buyer rejects: no oven-safe temperature specified." "Safety Buyer rejects: no third-party PFAS-free certification logo."

Output is a Simulation Scorecard — a per-persona pass/fail matrix with specific failure reasons and recommended fixes ranked by conversion impact. Each simulation runs in minutes, not the 4–6 weeks focus groups require. You review every recommendation before anything changes.

AVAILABLE FOR

Industries This Agent Serves

Customer Simulation is configured for high-consideration verticals where buyers compare specs side-by-side and a single missing claim kills conversion.

FIXES THESE PROBLEMS

Pain Points This Agent Resolves

These are the specific capital-destroying patterns this agent catches before launch: spec gaps, missing trust signals, and PDP copy that loses the comparison shop.

Comparison

Ontevo vs. Birdeye

Birdeye manages your reputation. Ontevo tells you what to fix first.

See the Full Comparison

More Blog posts

Keep reading to learn more about other Lighthouse use cases.

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Ready to See Your Truth?

See exactly what you're missing — and what it's costing you.