LumenAI Commerce Intelligence
AI VISIBILITY FOR ECOMMERCE

AI shopping visibility built around products, evidence and fixes.

Measure product-data readiness, SKU-level issues, competitor/source appearances and change over time with disclosed evidence.

Measured evidenceCatalog-level diagnosticsImplementation-ready findings

AI visibility for ecommerce has to work at product level

Brand-mention dashboards are useful, but commerce teams also need to know which product records are incomplete, which storefront facts conflict, which competing domains appear in measured shopping searches, and what to implement next. Lumen combines catalog diagnostics with a repeatable measurement workflow.

What Lumen measures today

  • Product readiness: identifiers, titles, descriptions, URLs, brand/seller, images, price and availability against published commerce-feed requirements.
  • Storefront evidence: public product pages and Product/Offer data.
  • Search evidence: disclosed shopping-related searches through Tavily Search, with returned source domains recorded rather than relabeled as direct assistant results.
  • Change: issue counts, high-priority gaps and recorded visibility observations can be compared on later measurements.

Why the fix queue matters

A visibility score without implementation work leaves the merchant with another dashboard. Lumen converts observed catalog gaps into SKU-level priorities so developers, merchandisers and agencies can work through the highest-impact issues and remeasure afterward.

Start with evidence from your own store. The free scan checks up to three public product pages. Run the free catalog scan or review the sample report.