PR003 – Taxonomy Validation
Overview
Assessment for taxonomy validation. Checks that product category/taxonomy is consistent and valid across schema, breadcrumbs, and page.
Probability that AI systems use this signal: Crawlers and generative AI pipelines consume structured and visible page signals for training and inference. Assessment-specific signals (e.g. schema, canonicals, trust cues) affect how likely a page is indexed and surfaced. The probability that this assessment's signal influences AI behavior is high when the page is in a product or compliance context.
Impact on geo compliance: Passing this assessment supports geo compliance by ensuring machine-readable and visible content meet standards that reduce the risk of wrong locale, pricing, or trust in AI-generated answers. Failing can lead to non-compliant or misleading surfacing.
What We Check
- Taxonomy extraction and validation: category/category path consistency across schema, breadcrumbs, and page content; valid category codes or paths.
- schema.org Product
categorycan be Text, URL, or CategoryCode; align with breadcrumb list and visible category labels for clarity and SEO. - Full logic in backend:
pr003_taxonomy_validation(product_relationships).
Pass / Fail and Score
- From execute().
How to Fix When It Fails
- Use consistent, valid taxonomy/category paths; align schema category with breadcrumbs and page.
Common Issues
- Inconsistent taxonomy; invalid or missing category.
Dependencies
None.
How to Verify
- Check taxonomy/category consistency across schema, breadcrumbs, and page; validate category codes or paths.
Additional Resources
- schema.org Product
category— A category for the item; greater-than or slashes can indicate hierarchy. Keep category values consistent with breadcrumbs and site taxonomy. - Site taxonomy best practices: stable category IDs/paths, consistent naming across locale variants; helps SH008 (category tagging) and discovery.