PeptideDoc — Bayside, Queens · 4232 Francis Lewis Boulevard, Bayside, NY 11361
PeptideDoc is the first paid client deployment within the broader KSM™ Multi-Vertical SMB AI Visibility Study led by Dr. Anthony Q. Bowen and KSMModel.ai.
The implementation measures how PeptideDoc’s publicly available digital information is structured, recognized and supported by authoritative sources across AI-mediated discovery environments.
The study evaluates digital knowledge and AI visibility. It does not involve patient records, patient-level information, treatment outcomes or clinical research.
Can AI systems accurately access and interpret PeptideDoc’s public information?
Can AI systems correctly distinguish PeptideDoc, Dr. Saul Maslavi and the Bayside medical location?
Do credible external sources consistently support the organization’s public claims and professional credentials?
Future checkpoint results will be published only after each reassessment is completed and documented. Score movement measures KSM™ AI visibility signals; it does not represent clinical quality, patient outcomes or guaranteed placement in AI-generated answers.
MarTech Edge covered the PeptideDoc implementation as a real-world test of whether structured digital improvements can strengthen healthcare entity recognition, factual accuracy and citation across AI systems.
PeptideDoc represents the physician-led healthcare implementation within a broader study spanning multiple SMB verticals. Other current or planned environments include fashion, nurse practitioner services, real estate, technology SaaS, luxury-property rentals, production accommodation, and corporate and event rentals.
The purpose is to evaluate whether the same KSM™ methodology can produce measurable, repeatable AI visibility improvement across different industries and business models.