Tirzepatide
Initial finding
Indexing allowed: No
After remediation
URL can be indexed by Bing
No SEO/GEO issues found
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KSM™ Client Case Study
From a 35/100 pre-launch KSM™ baseline to 62/100 on Day 1.
PeptideDoc demonstrates how the Knowledge Structuring Model™ can be applied to a physician-led healthcare organization to improve how search engines and AI systems identify the organization, physician authority, services, location and supporting evidence.
Pre-Launch
35/100
Day 1
62/100
Improvement
+27 Points
01 · Starting point
PeptideDoc had physician expertise and an established medical practice, but its digital information was not consistently structured for modern search engines and AI systems. The challenge was to make the relationship between the organization, physician, location, services and supporting evidence easier for machines to identify and interpret.
Can an AI system clearly determine what PeptideDoc is, who owns and leads it, where care is provided, what services it offers and which information is authoritative?
02 · KSM™ baseline
| Pillar | Pre-Launch | Day 1 |
|---|---|---|
| SEStructured Extractability | 16/40 | 30/40 |
| ESEntity Salience | 14/40 | 24/40 |
| CACitation Authority | 5/20 | 8/20 |
| Total | 35/100 | 62/100 |
+27 point improvement
03 · SE
The implementation created a more consistent machine-readable knowledge layer across PeptideDoc's website.
Core structured-data pattern on major service pages
04 · ES
KSM™ reduced ambiguity around the relationship between the physician and PeptideDoc, so machines can connect the founder, the practice, its location and its services.
06 · External validation
Bing Webmaster Tools was used as an external technical validation source for priority service pages.
Initial finding
Indexing allowed: No
After remediation
URL can be indexed by Bing
No SEO/GEO issues found
Bing result
URL can be indexed by Bing
No SEO/GEO issues found
Bing result
URL can be indexed by Bing
No SEO/GEO issues found
Tirzepatide was also aligned with the stronger structured-data architecture used by the other priority service pages.
07 · Technical work
10 strategic pages were standardized for:
Consistent entity IDs
https://peptidedoc.com/#clinic
https://peptidedoc.com/#dr-maslavi
Persistent IDs help machines understand that references across multiple pages describe the same clinic and the same physician.
08 · Participation
On Day 1, PeptideDoc was explicitly configured in Google Search Console to allow its links and content to appear in Google's Search generative AI features, including AI Overviews and AI Mode.
This setting does not guarantee an AI citation. It ensures that PeptideDoc is not excluded from participation while KSM™ works to improve the structured, entity and authority signals that influence visibility.
Day 1 finding
By the end of Day 1 remediation, PeptideDoc's owned digital knowledge layer had become substantially more structured and machine-readable. The next visibility constraint shifted outward toward external corroboration, citation authority and AI recognition.
09 · Day 1 → Day 30
The Day 30 phase moves from structured presence toward recognized authority.
Can search engines and AI systems consistently recognize PeptideDoc as a distinct physician-led medical entity founded and owned by Saul F. Maslavi, MD, and corroborate that relationship through authoritative external sources?
Next step