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KSM Model — Knowledge Structuring Model official seal

Who’s using KSM™

Organizations applying KSM™.

Organizations across fashion, healthcare and other SMB verticals are applying the KSM™ framework to strengthen how AI systems understand, recognize and cite them.

View KSM™ Case Studies →Explore KSM™ Adoption →

Applied implementations

Real organizations. Measurable implementation.

KSM™ is being applied across multiple industries and business models using a standardized assessment and reassessment process. Each implementation clearly distinguishes measured results, pending checkpoints and unmeasured outcomes.

  • Fashion & Consumer Brands

    External Beta ImplementationStatus: Day 60 in Progress

    Sonia Noel Inc.

    Sonia Noel Inc. is a Guyanese fashion house led by designer and entrepreneur Sonia Noel, known for three decades of Caribbean-rooted design. The KSM™ framework is being applied across sonianoel.com to strengthen structured extractability, entity salience and citation authority for AI-mediated discovery.

    Baseline
    33/100
    Current recorded assessment
    68/100
    Measured improvement
    +35 points

    Next checkpoint · Day 60 reassessment pending

    Read the KSM™ Case Study →Visit sonianoel.com

  • Healthcare & Medical Services

    First Paid Client ImplementationStatus: 90-Day Study in Progress

    PeptideDoc

    Building AI Visibility for a Physician-Led Medical Practice

    PeptideDoc is a physician-led healthcare organization serving New York City and the Tri-State area. KSM™ is being applied to strengthen how AI systems understand, distinguish and cite PeptideDoc, Dr. Saul Maslavi and the organization’s public medical credentials.

    Pre-launch assessment
    35/100
    Day 1 baseline
    62/100
    Measured improvement
    +27 points

    Next checkpoint · Days 30, 60 and 90 pending

    View the PeptideDoc Case Study →Visit peptidedoc.com

KSM™ scores are evidence-based diagnostic measurements. They do not guarantee AI placement, citation, recommendation, website traffic or commercial outcomes. Results reflect the documented assessment checkpoint shown for each implementation.

Applied research

Testing KSM™ across SMB verticals.

These implementations contribute to a broader longitudinal research program evaluating whether KSM™ can operate as a repeatable, industry-agnostic framework for measuring and improving AI visibility across different SMB environments.

Explore the Multi-Vertical Study →Review the Methodology →

Establish your organization’s AI visibility baseline.

Measure how well AI systems can understand, recognize and cite your organization across Structured Extractability, Entity Salience and Citation Authority.

Start the KSM™ Assessment →Discuss an Implementation →