Scored demo · PooPad Pro

See why an AI agent skips a product—and the exact fix to test.

This example uses realistic sample data. Every recommendation connects a buyer question to evidence, a listing change, and a measurable recheck.

Audit my product

Overall readiness

58/100

Partial readiness

Agents can understand the offer, but weak proof and incomplete fit details make a competitor easier to recommend.

AI visibility

50/100

Recommended by 2 of 4 checked agents

Proof coverage

42/100

3 important claims lack cited evidence

Offer clarity

78/100

Price and shipping are agent-readable

Checkout readiness

66/100

Eligible, but variant details are incomplete

Lost buyer query

“Best odor-control dog pee pad for apartment balconies”

ChatGPT recommended DoggieLawn. PooPad Pro was not named in the response.

Checked across ChatGPT, Gemini, Perplexity, and Google AI Mode

Why the competitor won

Its page answers the situation, not just the category.

DoggieLawn explicitly mentions balcony fit, odor control, drainage, and cleanup. PooPad Pro lists materials but does not connect them to this buyer’s use case.

Evidence: product pages + captured agent answers

Highest-impact proof gap

The charcoal odor-control claim is not supported where agents can cite it.

The catalog says “charcoal odor layer,” but the page has no linked review excerpt, test detail, or demonstration. Treat this as a draft claim until evidence is attached.

Evidence: catalog import · PDP audit · review and video proof scan

Recheck result

2/4

Before

3/4

After

One additional agent recommended PooPad Pro for the target query after the edit was published and rechecked.

+25 percentage points in this query set

Run this workflow on your own catalog.

Get the missed query, evidence gap, exact draft, and a recheck plan.

Create your report