Agent conversion optimization

AI agents are already shopping. Are they choosing you?

ChatGPT, Perplexity, and shopping agents now decide what gets bought. Bismion measures your agent win rate, shows exactly why agents pick competitors, and generates the fixes that flip the verdict.

Free agent-readiness audit · No Shopify credentials needed · Fixes never publish without your approval

buyer-agent simulation

Demo: an AI shopping agent first picks a competitor product because your listing lacks proof, then picks your product after a merchant-approved fix is applied, raising the agent win rate from 38% to 71%.

The problem

Being mentioned by AI doesn't pay. Being chosen does.

Agents shop differently

AI shopping agents compare evidence, not vibes. They weigh proof, policies, and structured facts — and skip listings they can't verify.

Mentioned is not chosen

Visibility monitoring tells you AI mentioned your brand. It doesn't tell you the agent recommended your competitor at the moment of purchase.

Win rate is the metric

Agent win rate measures the share of buyer queries where the agent picks you. It's the number that actually correlates with revenue.

How it works

Scan. Simulate. Flip the verdict.

01

Scan

Paste your store URL. Bismion extracts product facts, schema, policies, FAQs, and trust signals — no Shopify credentials needed for the first audit.

02

Simulate

Real buyer queries run through a real AI agent against your catalog and competitor context. You see what it picks and exactly why you lost.

03

Fix & flip

Bismion generates the fixes that target your losing factors. Nothing publishes without your explicit approval. Re-run and watch the verdict flip.

The proof

Before and after, in the agent's own words

Every audit, fix, and re-run is snapshotted. Your before/after report shows the agent picking a competitor, the exact losing factors, the fixes you approved, and the verdict flipping to you — with the win-rate delta to prove it.

  • Agent win rate tracked across every panel run
  • Losing factors named in plain language, not scores
  • Approval-gated fixes — you control what changes
  • Exportable reports your team can act on

before-after-report.md

baseline · panel run #1

agent win rate: 38%

"picked rival-store.com — proof missing"

↓ 6 fixes approved by merchant

current · panel run #2

agent win rate: 71%

"cited your certification as proof"

delta+33 pts

Questions agents would ask

What is agent conversion optimization?

Optimizing your store so AI shopping agents choose your products when comparing you against competitors — CRO for AI agents instead of humans.

How is this different from AI visibility monitoring?

Monitoring tells you whether AI mentions your brand. Bismion measures whether agents pick your products, then fixes the reasons they don't.

Do generated fixes publish automatically?

Never. Every fix is gated behind explicit merchant approval before anything changes on your store.

Find out what the agent picks. Right now.

The first audit is free, takes under a minute, and needs nothing but your store URL.