Named systems, actual query type, market, date, and a reproducible query list.
Checking one product? Use the free Product Schema Checker to review brand, GTIN/MPN, price and availability in Product JSON-LD.
What should you compare before choosing a provider?
“AI shopping visibility” can mean several different things: product-feed readiness, technical checks on storefront pages, observed web-search results, or direct testing inside a specific shopping assistant. Providers may use the same label for different work. Compare the method and evidence before comparing promises.
Ask these questions
- What systems are actually queried? Ask for the service names, query wording, date, market and whether the provider queried the assistant directly or used a third-party search API. These methods are not interchangeable.
- How many products are reviewed? Confirm whether the provider checks the full catalog or a disclosed sample, how representative products are selected, and whether the report names the reviewed URLs.
- Can you verify each finding? A useful report shows observed product fields, source URLs, missing or conflicting values, and a practical fix. Ask for a redacted sample report.
- What does the price include? Separate a one-time assessment from implementation work, recurring monitoring, platform setup, and any usage fees.
- What outcomes are guaranteed? No outside provider controls search or assistant recommendations. Treat guaranteed ranking, traffic, or sales claims as a reason to ask for proof and terms.
Provider comparison checklist
Exact sample size, sample selection, product URLs, and stated maximum.
Field-level examples, cited sources, uncertainty, and a clear line between observation and inference.
A sample report, prioritized actions, and a way to recheck completed changes.
One-time vs. recurring fees, implementation exclusions, cancellation, and refund terms.
Define your audit scope before requesting a quote
Use the same brief when comparing providers so a lower price does not hide a different scope. Include your storefront URL, platform, approximate catalog size, target country and currency, and the business question you need answered.
- Choose the job: identify product-data gaps, investigate a feed-to-page mismatch, or measure results inside a named assistant. Ask the provider to state which of these its method supports.
- Share representative public evidence: include product URLs from your main categories and one affected variant if relevant. Note the observed price or stock conflict and when it occurred. Keep passwords, API keys and private customer data out of the brief.
- Agree on acceptance criteria: request the reviewed URLs, observed values, source citations, a prioritized fix queue and a documented way to recheck the same products. Review a sample deliverable before paying.
- Name the implementation owner: decide whether your team or an agency will make catalog, theme or feed changes. Confirm implementation and remeasurement costs separately from the assessment.
Unsure whether Lumen fits your catalog? Ask about your audit scope with your storefront URL and the issue you want investigated. For a public-page starting point, run the free three-product scan, then compare its evidence with the published assessment scope.
Where Lumen fits
Lumen is a candidate for merchants who want a product-data and storefront assessment with disclosed limits. The free scan checks up to three public product pages. The one-time $299 assessment is for one storefront: discovered catalog SKUs/products are reviewed up to the 1,000-SKU assessment limit; larger catalogs keep their discovered size visible for higher-capacity planning. It checks published product-feed fields and Google Product/Offer data, then records six product-intent searches using Tavily Search. The PDF names the scope and observations and includes a prioritized implementation plan.
Important method limit: Tavily Search is a third-party search method, not a direct query to ChatGPT, Perplexity, Google AI Overviews, Amazon Rufus, or another assistant. OpenAI product-feed access is limited to approved partners. Lumen does not promise approval, assistant recommendations, rankings, traffic, or sales. Optional monitoring after an assessment is $99/month and includes one remeasurement per billing month.
Choose based on the job you need done
If you need direct testing in a named assistant, choose a provider that can demonstrate and document that direct workflow. If you need technical catalog diagnostics and a bounded sample of observed shopping-related web results, compare Lumen’s sample report and published scope and pricing with alternatives.
Start with the free eight-point product data scorecard or three-product scan. No paid assessment starts automatically.
Review the $299 assessment scope