Is your product page ready for AI shopping systems ?
Analyze a product page, see what is missing or inconsistent, fill the gaps that matter, and generate publish-ready product content.
Every analysis also evaluates how well AI search engines and shopping agents can understand, compare and trust your product data.
No setup required. Start with a single product page.
Ask LinqCheck AI
Get a quick, free review of your product information, spot missing category-specific details, and understand how AI shopping agents may interpret your product — before running a full analysis.
- Check missing product information
- Understand category-specific fields
- Compare product information
- Generate content from verified facts only
Ask LinqCheck provides a free pre-check. Official LinqCheck scores and verification require a full LinqCheck analysis.
Hi, I'm LinqCheck AI. Ask me about your product data, missing information, category requirements or AI commerce readiness.
This pre-check is free and does not use credits.
AI cannot recommend a product it does not understand.
These issues stop AI search engines and shopping agents from interpreting your product correctly.
Missing product attributes
Without material, dimensions or weight, AI systems cannot describe your product accurately.
Conflicting product data
When a page contradicts itself, AI systems have no reliable value to work with.
Not enough data to compare
If shopping agents cannot place your product side by side with alternatives, it drops out of the comparison.
Unverifiable claims
Statements with no supporting evidence on the page reduce trust in your product.
Can a shopping agent actually use this product?
Every LinqCheck analysis includes an Agentic Readiness assessment: how usable your product data is for shopping agents, across four dimensions.
UNDERSTAND
Can the product and its core attributes be identified clearly? Are title, brand, category and product identity explicit?
COMPARE
Is there enough structured detail to compare the product with alternatives — dimensions, weight, material?
TRUST
Is the product data internally consistent and backed by evidence on the page? Any contradictions or unverifiable claims?
ACT
Are price, currency and availability unambiguous? Could a shopping agent evaluate a purchase step for this product?
What does LinqCheck review?
The core areas evaluated in every product page analysis.
Product Data
- Product identity: title, brand, category, GTIN
- Attributes and technical specifications
- Missing product information
Consistency
- Conflicting statements
- Ambiguous or incomplete fields
Trust and Evidence
- Claims supported on the page
- Unverifiable claims
Agentic Readiness
- Understand
- Compare
- Trust
- Act
How it works
From analysis to findings, from findings to publish-ready content.
Analyze the product page
Paste the link to the single product page you want to review.
See what is missing or broken
Identify missing, conflicting or unverifiable product data on the page.
Review Agentic Readiness
See how ready your product is for AI search engines and shopping agents.
Close the gaps that matter
Enrich incomplete or weak fields with your own verified product data.
Generate publish-ready content
Use the Content Studio to produce product content for each channel.
Move from analysis to improvement
LinqCheck does not stop at pointing out problems. For the fields an analysis flags as missing or weak, you can generate content directly in the Content Studio.
Start with the analysis
Begin with a single product page. Identify missing, conflicting and unverifiable fields.
Then improve only what actually needs work
The Content Studio builds on the analysis findings to close gaps and produce publish-ready content per channel.
Frequently asked questions
Analyze your product page, see the gaps, and generate publish-ready content.
No setup required. Start with a single product page.