Audited Solarly SEO Engine report-card measurement integrity
Directed by Nicholas Lee · Produced with ChatGPT + Lovable read-only source inspection + public-page verification
Verified the live free discovery-readiness surface against its current source and isolated a structured-data measurement path that can undercount valid JSON-LD evidence before scoring. Defined a fixture-based acceptance boundary for accurate five-check baselines without changing production code.
The public report card is a real bounded site audit with explicit partial-result handling and a transparent five-check technical baseline. Read-only source inspection found that the current scrape path removes script elements before the JSON-LD detector evaluates the returned HTML, so a site can contain valid schema.org JSON-LD and still be scored as missing it. The next implementation increment should preserve or separately collect structured-data evidence and add deterministic fixtures proving JSON-LD-present passes, JSON-LD-absent fails, and partial scans do not count missing evidence as failure. No deployment, customer data read, payment action, or score claim was performed in this audit.