PR009 – Product Upsell Detection
Overview
Assessment for product upsell detection. Validates that upsell offers (e.g. "Upgrade to X") are present where appropriate and correctly linked/structured.
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
- See implementation: upsell detection, link and structure validation.
- Full logic: `src/domain/assessments/product_relationships/pr009_product_upsell_detection.py`.
Pass / Fail and Score
- From execute().
How to Fix When It Fails
- Add or fix upsell offers and links; ensure clarity and valid targets.
Common Issues
- Missing upsell; broken or misleading upsell links.
Dependencies
None.
How to Verify
- Confirm upsell offers are present where appropriate; validate links and structure.
Additional Resources
- Upsell offers: clear labels and valid links; optional schema.org Product or Offer for upgrade options. Align with PR008 (recommendations) and PR005 (accessory).