Listing integrity engineering
The goal is not to make weak facts sound better. The scanner accelerates the first pass; human review extends the check to image copy, variants, context, and source truth so we can establish one coherent set of product claims everywhere the buyer sees it.
Mission-control logic
Automation can compare supported claims quickly and classify severity, but it cannot certify every image, hidden variant, or source fact. The free human evaluation checks the complete customer-facing record and separates real problems from scanner noise. Paid Listing Integrity work begins only when reconciliation or correction is actually needed.
If the accessible product record does not support a Critical warning, we do not display one. But a green automated scan is not final certification. Human review still checks image copy, context, variants, and available source truth before we call the listing genuinely healthy.
Scanner first // human verification next
We manually inspect the claims buyers actually see—including words baked into images—and compare against authoritative evidence when available. A clean listing earns a thumbs-up. A broken listing gets a controlled repair plan.
The four steps
Each stage moves the listing closer to one controlled, supportable version of the product truth.
Run an automated first pass across supported page content, then extend the claim map through human review of image copy, variants, quantities, units, compatibility statements, and other buyer-facing data automation may not fully expose.
Verify scanner findings with human eyes. Where a claim matters or conflicts, compare it with seller-provided specifications, manufacturer data, packaging, drawings, image copy, or other authoritative evidence.
Resolve conflicting dimensions, materials, capacities, package counts, units, compatibility statements, and terminology. Unknowns remain flagged until they can be proven.
Correct the listing so title, bullets, description, specifications, images, and variants communicate the same verified product facts in clear language.
What we measure
The diagnostic does not promise ranking, conversion, or revenue. It measures four independent systems out of 100 and classifies findings by consequence: Critical, Major, or Advisory.
A perfectly consistent listing can still be factually wrong; verified source data is what allows us to call a claim accurate.
We never invent specifications, certifications, performance claims, compatibility, or benefits. Evidence controls what can be called verified.
Ready?
Show us the listing and, when available, the source data behind it.