Shopify
BigCommerce
WooCommerceMeasure the catalog
Find missing identifiers, weak product data, structured-data gaps, price and availability problems at SKU level.
AI COMMERCE INTELLIGENCE · BUILT FOR PRODUCT CATALOGS
See why shoppers find competitors instead of you.
Measure → Explain → Fix → Remeasure. Lumen shows which product data is weak, which competing domains appear in measured shopping searches, what changed between measurements, and the SKU-level fixes your team should implement next.
Evidence attached to findingsProduct-level analysisRemeasurement workflow
✦ LumenAI COMMERCE INTELLIGENCE
Commerce Intelligence OverviewSAMPLE · evidence-led workspace
Last 30 days⌄1,000Assessment SKUscatalog capacity
6Measured queriessearch evidence
81Readiness sampleproduct data
3Change typesremeasurement
Evidence trendCatalog Search Sources
Priority product findings
Product data completeness92%
Search-source coverage78%
Remeasurement statusActive
Evidence sources
Your catalogCatalog
Shopping searchesMarket
Observed domainsSources
MEASUREMENT COVERAGELive evidence, readiness and roadmap — clearly separated
Tavily SearchLive search evidenceLIVE
OpenAI ShoppingPublished feed readinessREADY
GGoogle ShoppingProduct data readinessREADY
PerplexityDirect measurementPLANNED
ClaudeDirect measurementPLANNED
GeminiDirect measurementPLANNED
See who appears instead
Identify competing domains and sources appearing in the shopping searches Lumen actually measured.
Know exactly what to fix
Turn findings into prioritized product-level actions instead of another generic visibility score.
Prove what changed
Compare before and after measurements for SKU issues, visibility and observed source changes.
Catch regressions
Monitor SKU, visibility and source changes monthly or weekly according to your active plan.
FLEXIBLE PLANS FOR EVERY STAGE
Compare all plan details →Simple, Transparent Pricing
Start with evidence. Scale catalog coverage and measurement cadence as you grow.
Free Preview
$0
Explore Lumen with a 3-product preview.
- 3-product analysis
- Basic readiness report
- Public catalog evidence
Assessment
$299
One-time analysis for up to 1,000 products.
- Up to 1,000 SKUs
- 6 measured queries
- Prioritized fix plan
Monitor
$99 /month
Ongoing measurement for up to 1,000 products.
- 1,000 product monitoring
- 6 queries monthly
- Change intelligence
Growth
$249 /month
For growing catalogs up to 5,000 products.
- 5,000 SKU capacity
- 18 measured queries
- Monthly cadence
Pro
$599 /month
For established catalogs up to 25,000 products.
- 25,000 SKU capacity
- 50 measured queries
- Weekly cadence
Enterprise
From $999 /month
Configurable measurement for 25,000+ products.
- 25,000+ SKU capacity
- Configurable query budget
- Configurable cadence
HOW IT WORKS
A repeatable measurement loop, not a one-off score.
Lumen establishes a baseline, documents the evidence, prioritizes fixes, and gives your team a path to remeasure the same signals after implementation.
Check my store free →Connect your store
Enter your store URL. We inspect the public catalog and product pages.
yourstore.com Scan
Check feed fields and searches
Compare public product details with OpenAI's published feed fields, then review six product-intent searches and their returned sources.
Get your report
Receive evidence, catalog gaps, priorities, methodology and recommended fixes.
LUMENAI COMMERCE ASSESSMENT
Improve & remeasure
Implement the changes, then repeat the measurement to document what changed instead of relying on assumptions.
Visibility
Establish your baseline
Start with a free product-data evidence scan.
We check three public product pages for missing details that can make products harder to understand and find. The free scan does not include the six paid shopping-related searches.
✓ Product structured data✓ Commerce signals✓ Content quality✓ Downloadable assessment
FREE READINESS SCANAnalyze a storefront
~ 1 minuteNo account · No card · Public storefront evidence only
The product, not a promise
Watch a storefront become an action plan.
This walkthrough shows how Lumen reviews a catalog, checks shopping-related searches, and turns findings into a prioritized fix list.
Inspecting a public storefront01 / 04
VERIFIED HISTORICAL SAMPLEsmartcellular.co.uk
CATALOG READINESS81/100
Lumen checks product details, pricing, availability, structured data and page content.
Step 1. See what machines can understand about the catalog today.
01Scan a public catalog
→02Surface technical gaps
→03Measure market evidence
→04Ship prioritized fixes
WHAT YOU SEE
01
Readiness
What your catalog exposes to machines today.
02
Evidence
The pages returned for the six shopping-related searches.
03
Explore the sample assessment →Action
Exactly where product and catalog work should begin.
01 Discover02 Diagnose03 Measure04 Compare05 Improve
SAMPLE DISPLAY — Smartcellular figures come from a previously completed assessment, not from your free scan. This tour shows how Lumen turns a storefront into findings, priorities and fixes your team can implement.
MEASURED IMPROVEMENT
Don’t just get a score. Prove what improved.
Lumen establishes a baseline, turns catalog gaps into SKU-level fixes, then remeasures the same storefront so your team can see whether the work actually changed the measurable signals.
Track ACP / ChatGPT commerce field coverage before and after fixes: product ID, title, description, URL, brand, seller, image, price and availability.
Measured as field coverage · 0–100See how many detected product issues remain, which high-priority gaps were reduced, and where regressions appeared after implementation.
Measured at SKU levelRepeat the measured shopping-query set and compare whether your storefront and competing source domains appear differently over time.
Provider and method always disclosedMove from diagnosis to an ordered implementation list instead of a generic SEO checklist. Remeasure after shipping the changes.
Fix → remeasure → proveYour first assessment becomes the baseline.Monitoring keeps the history so later measurements can show change instead of another isolated score.
Establish my baseline →BUYER FAQ
What happens after Lumen finds a problem?
The value is not the audit alone. It is knowing what to change and having a measurement you can repeat afterward.
Can Lumen show whether our fixes actually improved anything?
Yes. A completed assessment establishes the baseline. Later measurements compare recorded product issues, high-priority gaps, feed-field completeness and measured search evidence. Lumen reports the observed change; it does not invent attribution when the evidence cannot prove causality.
What exactly do we receive for $299?
One storefront assessment covering up to 1,000 discovered SKUs/products, ACP / ChatGPT commerce feed-field readiness, Google Product/Offer checks, six Tavily shopping-related searches, competitor/source evidence, SKU-level priorities and a client-ready PDF fix plan.
Does Lumen guarantee that ChatGPT or another AI assistant will recommend our products?
No. No outside service controls third-party recommendations. Lumen improves measurable product-data readiness and records disclosed search evidence. Direct assistant measurements are only labeled as such when a legitimate provider integration exists.
Why subscribe to monitoring after the assessment?
An isolated audit tells you where you started. Monitoring remeasures the storefront, preserves change history and makes regressions visible, so you can see whether implemented work is moving the tracked signals.
What if the paid assessment finds nothing actionable?
If the completed $299 assessment contains no actionable, verifiable finding, you may request a refund of the assessment fee. This promise does not guarantee rankings, traffic, recommendations or sales.
Full assessment
Get a product-data review and a fix plan your team can use.
The $299 one-time assessment covers one storefront. Lumen checks up to 1,000 discovered SKUs/products against OpenAI's published shopping-feed fields, reviews Google Product/Offer data, and runs six product-intent searches with Tavily Search. You receive the product sample, field-by-field coverage, pages and sources returned, competitor examples, and a prioritized, client-ready PDF fix plan. OpenAI feed access is currently limited to approved partners; this assessment prepares and reviews your public product data without promising approval, placement, or sales results.
AI Shopping Product Data Assessment$299One storefront · one-time purchase · no subscription
View assessment details →Analysis in Progress
Catalog Discovery
Finding publicly accessible product pages
Product Review
Selecting a focused product sample
Evidence Analysis
Reviewing structured data, commerce data and content
Readiness Assessment
Identifying technical weaknesses and opportunities
Technical AI Commerce Assessment
How this score is calculated. The free scan samples up to 3 publicly accessible product pages and checks structured Product/Offer signals, identifiers, commerce fields, content quality and discoverability. It uses public storefront data only and does not run paid AI-shopping queries.
Priority Improvement Areas
You have a 3-product baseline. Now find the catalog-wide problems.The $299 full assessment expands this from 3 sampled products to up to 1,000 discovered SKUs, adds six commercial shopping searches, competitor/source evidence, a prioritized fix plan and a baseline you can remeasure after implementation.
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