FFeedLensStore audit
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SAMPLE REPORT

A report designed to become a repair sprint.

This redacted example shows the structure. Actual results depend on the public HTML returned when you run the audit.

Example summary

Score: 62/100 — Fix before scaling campaigns. Product data and trust-policy signals have important gaps.

Example priority finding

  • Issue: Product structured data has no verifiable price.
  • Evidence: Product JSON-LD was found, but offers.price was not detected.
  • Impact: feed and landing-page price consistency is harder to verify.
  • Repair: add numeric price, three-letter currency and availability to Offer; match the visible page and feed.
  • Validation: rerun the audit and confirm price, currency and availability pass.

Free versus Pro

The free report shows the score, category risk and top issue titles. The $1 Pro report reveals exact evidence, impact, every repair step and validation criteria.

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