KSMModel.ai and PeptideDoc Launch 90-Day AI Visibility Study for Healthcare

PeptideDoc’s KSM™ AI Visibility case study shows a 27-point increase from a 35/100 pre-launch assessment to a frozen Day 1 baseline of 62/100, measured across Structured Extractability, Entity Salience, and Citation Authority.

KSMModel.ai and PeptideDoc Launch 90-Day AI Visibility Study for Healthcare Marketing

NEW YORK, NY, UNITED STATES, October 5, 2026 /EINPresswire.com/ -- NEW YORK, NY — October 5, 2026 — KSMModel.ai and PeptideDoc.com today announced the launch of a 90-day AI Visibility case study measuring how a healthcare organization’s digital presence evolves across search engines, generative AI platforms, and emerging AI-driven discovery experiences.
The initiative is led by Dr. Anthony Q. Bowen, Founder of KSMModel.ai, a seasoned marketing, digital transformation, and AI executive whose career spans client, agency, and consulting environments. Bowen began his SEO and digital marketing career with organizations including Trafalgar Tours, DER, and Hilton Worldwide, where his performance was recognized through Hilton’s Circle of Excellence for revenue management and sales. His later experience includes Cablevision/Optimum/Altice and senior roles across digital transformation, marketing, technology, consulting, and AI with Virtusa.
Bowen also serves as a Graduate Marketing Adjunct Faculty member at Grand Canyon University and previously taught with the Jack Welch Management Institute and Southern New Hampshire University.
The PeptideDoc study applies the Knowledge Structuring Model™ (KSM™) at four formal measurement points: Day 1, Day 30, Day 60, and Day 90.
AI Visibility = f(Structured Extractability × Entity Salience × Citation Authority)
In practical terms, KSM™ asks three questions:
Can AI understand you? Structured Extractability measures whether search engines and AI systems can retrieve and accurately interpret an organization’s information.
Can AI recognize and connect you? Entity Salience measures whether AI can correctly connect the organization with its people, services, locations, credentials, and related entities.
Can AI independently verify, trust, and cite you? Citation Authority measures whether trusted external sources corroborate those relationships strongly enough to reinforce credibility.
For PeptideDoc, that means determining whether AI can understand that it is a physician-led healthcare practice; correctly connect Dr. Saul F. Maslavi, MD as Founder & Owner with the Bayside, Queens practice and its medical services; and independently corroborate those relationships through health-system profiles, insurer directories, professional registries, and other authoritative sources.
From 35/100 to a Frozen 62/100 Day 1 Baseline
PeptideDoc began the implementation with a pre-launch KSM™ AI Visibility score of 35/100. The formal Day 1 assessment scored 62/100, representing a 27-point gain. That Day 1 score is now frozen as the baseline for the study. Improvements made after Day 1 will be measured at Day 30, Day 60, and Day 90 rather than added retroactively. The first phase focused on making PeptideDoc easier for search engines and AI systems to understand. Information about the organization, physician, services, and location was made more consistent. Priority pages received clearer titles, descriptions, canonical URLs, indexing signals, and stronger structured data.
The core relationship became clearer: Saul F. Maslavi, MD → Founder & Owner → PeptideDoc → Bayside, Queens → Physician-Led Medical Services
Early external testing also showed signs of recognition. After remediation, Bing Webmaster Tools reported a priority service page that had previously been flagged as not allowed for indexing as eligible for indexing.

Why Healthcare Is a Demanding Test
In healthcare, being discoverable is only the first step. AI systems may need to determine who owns and operates a practice, which physician provides or supervises care, which credentials belong to that physician, where patients are seen, what services are offered, and whether independent sources support those relationships.
For PeptideDoc, independent health-system and insurer directories corroborate key physician and practice information, including Dr. Maslavi’s Family Medicine identity, Bayside practice location, telephone number, and National Provider Identifier (NPI) 1134137383.
For healthcare marketers, the principle is straightforward: Visibility gets an organization discovered. Independent corroboration helps make it trustworthy and citable.
PeptideDoc: Physician-Led Care in Bayside, Queens, serving eligible patients from New York City and the broader Tri-State area.
Founded and owned by Saul F. Maslavi, MD, a board-certified Family Medicine physician with more than 20 years of medical experience, PeptideDoc provides personalized, medically supervised care including medical weight management, peptide care, functional and integrative medicine, hormone optimization, metabolic health, recovery, body composition, and individualized wellness.
What Happens Next
With Day 1 frozen at 62/100, the study now moves toward external recognition and authority development. KSMModel.ai will evaluate search-engine recognition, physician and practice entity consistency, Google Business Profile alignment, healthcare directory references, professional profiles, external mentions, branded and non-branded AI queries, and how major AI platforms describe PeptideDoc and Dr. Maslavi.

Dr.Elinor Garely, VP Communications
KSMModel.ai
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