PPC / Shopping / PMax agencies
You manage Google Shopping, Performance Max, Merchant Center, or feed-dependent acquisition and want to know whether catalog quality may be limiting optimization.
For ecommerce agencies managing Google Shopping, PMax, SEO, or Shopify growth
Find out if your client’s product catalog is holding back Shopping, PMax, SEO, or machine-driven discovery.
Most ecommerce growth work depends on product data that machines can understand: titles, descriptions, identifiers, structured data, feed fields, variants, images, availability, shipping, and consistency between the site and Merchant Center.
The free Machine-Buyability Snapshot gives your agency a focused review of one client catalog and identifies visible product-data gaps that may affect eligibility, clarity, or optimization potential.
Free for one selected client catalog. Agency-facing. No campaign access required to start.
Product visibility increasingly depends on structured, consistent product information.
This is not a speculative AI claim. The immediate foundation is already visible in Google Merchant Center, structured product data, and Performance Max with product feeds.
Google Merchant Center product data is used to match products to relevant queries.Merchant Center spec
Incorrect or missing product data can cause disapprovals, limited eligibility, or incorrect displays.Product data quality
Product disapprovals can stop affected products from showing in Shopping ads and free listings.Disapproval guide
Google recommends using structured data and Merchant Center feeds to help verify product data.Product structured data
Campaign performance can be limited by product data before media strategy even begins.
For ecommerce agencies, it is easy to keep optimizing the visible parts of performance: campaign structure, PMax asset groups, bidding, product segmentation, landing pages, SEO metadata, Shopify theme performance, and CRO tests.
But the quieter constraint is often product truth.
Many ecommerce accounts have catalogs that are not clear, complete, or consistent enough for Google, Shopping systems, feeds, and emerging AI-driven discovery layers.
Generic or inconsistent product titles
Thin product descriptions
Missing or questionable identifiers
Variant data that is hard to interpret
Feed fields that do not match the PDP
Weak structured data coverage
Shipping, return, price, or availability inconsistencies
Merchant Center warnings treated as admin issues
Built for ecommerce agencies that need a clearer product-data diagnostic.
Shopify agencies
You build or improve Shopify stores and want a practical way to flag product-data weaknesses that could affect Shopping, SEO, or machine readability.
Ecommerce SEO agencies
You work on product pages, schema, internal linking, metadata, and organic visibility, and want to assess whether product information is structured clearly enough for search systems.
What the free Snapshot includes.
A focused first look at whether machines can understand the product catalog clearly.
- Catalog clarity review
- Machine-readability check
- Feed/page consistency review
- Structured data visibility check
- Product identifier review
- Variant and attribute review
- Merchant-readiness observations
- Prioritized issue list
- Recommended next step
What it does not include.
- Full Merchant Center audit
- Full product feed rebuild
- Direct edits to Shopify, WooCommerce, Merchant Center, or feed tools
- Complete schema implementation
- Campaign restructuring or Google Ads management
- Guaranteed performance improvement
- Review of every SKU in the catalog
- Ongoing monitoring or developer implementation support
If the Snapshot shows real issues: Product Truth Fix Sprint.
The paid next step turns findings into a structured cleanup plan or implementation-ready product-data fix. It is not sold as a performance guarantee.
Find the product-truth gaps
Compare PDP facts, schema, feed-style fields, variants, identifiers, policy facts, and buyer-answer content.
Rank the fixes
Prioritize by potential confidence impact, implementation effort, and SKU importance.
Assign by owner
Separate fixes for feed/PPC, SEO/content, merchant admin, and developer/schema work.
Give the agency a client-safe artifact
Turn abstract product-data quality into a concrete backlog the client can understand.
FAQ
Is this a full audit?
No. The free Snapshot is a focused diagnostic, not a complete audit. It reviews enough of the catalog to identify whether visible product-data issues may deserve deeper work.
Do you need access to Google Ads or Merchant Center?
Not always. The Snapshot can start with public product pages and any feed sample you can provide. Merchant Center access may improve the review, but it is not required for the initial Snapshot.
Will this improve ROAS or rankings?
No specific performance improvement is promised. The Snapshot identifies product-data issues that may affect eligibility, interpretation, or optimization potential.
Is this only for Google Shopping?
No. The strongest use case is currently Google Shopping / PMax / Merchant Center because the requirements are explicit. The same principles also matter for ecommerce SEO, Shopify product architecture, structured data, and machine-readable catalog quality.
What if the client already has a feed tool?
Feed tools can help, but they do not automatically ensure that the underlying product truth is clear, complete, or consistent across the PDP, schema, variants, policy facts, and buyer-answer content.
Can this be white-labeled?
Potentially, yes. The default workflow is agency-facing and client-safe. We will not contact your client unless you request it.
Want a second set of eyes on one client catalog?
Request a free Machine-Buyability Snapshot for one ecommerce client. You will get a practical read on whether product-data quality may be limiting Shopping, SEO, Shopify, or machine-driven discovery work.
Request a free snapshotPlaceholder CTA only. Form/tracking not implemented in this v0 by request.