Site architecture
Core, peptide, comparison, research, discovery, and answer sitemaps were checked.
Sample audit
ExaminePeptides AI Visibility Audit
This sample shows how we identify the difference between a site that has strong deeper content and a site whose top-level pages are still difficult for answer engines to understand.
68/100
Executive finding
ExaminePeptides has a strong content foundation: large sitemaps, working robots and llms files, static peptide library pages, answer pages, MedicalWebPage schema, FAQ schema, citations, and reviewer fields on important compound pages.
The main weakness is that the homepage, about page, and editorial policy page return thin raw HTML with no detected static H1/H2 content or JSON-LD. This means the deepest pages may be understandable, while the site-level identity and trust model are less visible than they should be.
What was checked
Machine access
Robots and llms files were reviewed for AI/search crawler accessibility.
Structured pages
Library and answer pages were checked for headings, schema, citations, and trust signals.
Priority fixes
| Priority | Fix | Why it matters | Effort |
|---|---|---|---|
| P1 | Render real static homepage content | AI/search crawlers need more than title and meta description to understand the site entity. | Medium |
| P1 | Render about and editorial policy pages as unique static pages | Health-adjacent answer visibility depends on trust, authorship, methodology, and disclaimers. | Medium |
| P1 | Add homepage JSON-LD | Structured data gives machines a canonical model for the site and its database. | Low |
| P2 | Add homepage FAQ and internal links | Answer engines need visible, extractable answers and routes to the best pages. | Low |
Competitor pattern
Peptide DB had stronger visible homepage packaging. Pep AI had clearer compliance framing. PeptideAtlas had stronger academic authority signals. ExaminePeptides already had better deeper-page structure than the homepage score suggested, which made the fix path clear.
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