Free tool

AI Search Snippet Simulator

Preview whether an AI shopping answer is likely to recommend your store, hedge, or point buyers toward a competitor.

Run this audit

What the tool reviews

Inputs

  • Brand and product need
  • Buyer question
  • Verifiable product and policy evidence
  • Missing facts
  • Agent-facing protocol signals

Outputs

  • Likely AI answer
  • Snippet confidence score
  • Evidence the answer can cite
  • Recommendation risk flags
  • Fix-first actions

Snippet simulator

Preview how an AI shopper may describe your store.

Use merchant-visible evidence to estimate whether an AI answer is likely to recommend you, hedge, or send the buyer to a competitor.

Simulate a buyer answer

Enter the facts an AI shopper can verify. The preview shows how thin evidence can change a recommendation.

AI answer preview

Recommendation risk

62
snippet confidence

Likely answer

Northstar Goods may be mentioned, but Everlane could look safer.

The agent can cite some useful proof, but missing facts weaken confidence at the recommendation step.

Cited evidence

  • Can cite cotton material
  • Can cite size chart
  • Can cite return window
  • Can cite delivery estimate
  • Can cite product schema

Risk flags

  • Cannot verify reviews
  • Cannot verify SKU
  • Cannot verify inventory proof
  • Cannot verify gift policy

Fix first

  1. Add clear storefront proof for reviews.
  2. Add clear storefront proof for SKU.
  3. Add clear storefront proof for inventory proof.

Next step

A tool result is only the starting point.

ShopperProof turns the scan into a shopper scenario, captures transcript evidence, compares competitors, and reruns after fixes.

Scan

Collect storefront, policy, crawler, schema, and protocol signals.

Scenario

Run the buyer task and map results to evidence gaps.

Rerun

Apply merchant-controlled fixes and compare the next outcome.