Helping Businesses Become Clearer, More Trusted, And More Recommendable To AI Systems
Entitylytics™ was founded to help businesses understand how AI systems may identify, understand, trust, and recommend them, then turn that analysis into executive intelligence and practical next steps.
Businesses Need More Than A Free AI Audit Or A Visibility Score.
AI search is changing how businesses are discovered, evaluated, and recommended. Traditional visibility still matters, but AI systems also depend on entity clarity, public evidence, trust signals, structured information, and recommendation context.
Many businesses have websites, reviews, profiles, service pages, and content — but still have no clear way to know whether AI systems can confidently understand who they are, what they do, where they operate, why they are credible, and when they should be recommended.
Entitylytics™ exists to fill that gap with an assessment-first framework that turns diagnostic findings into executive-level interpretation, visibility priorities, and a roadmap for improvement.
AI Discovery Depends On Understanding, Trust, And Evidence.
The question is no longer only whether your business can rank. The question is whether AI systems can confidently interpret and recommend your business in the right situations.
Visibility Is Becoming Entity-Based
AI systems need to recognize your business as a distinct entity with clear identity signals, consistent references, and accessible public information.
Trust Signals Matter More
Reviews, credentials, reputation signals, policies, third-party validation, and proof of expertise can influence whether AI systems treat your business as credible.
Recommendation Confidence Requires Support
Being visible is not the same as being recommended. AI systems need enough evidence to understand when your business is a strong fit.
Founded With A Technical SEO And Analytics Background
Entitylytics™ was founded by Jeffrey Fagan to bring a more evidence-based approach to AI visibility assessment. The methodology draws on 30 years of experience in technical SEO, analytics, search visibility, and digital strategy.
That background matters because AI visibility depends on more than content. It requires clear entity signals, measurable evidence, trusted public data, and a deep understanding of how search platforms interpret businesses online.
Why That Experience Matters
The Entitylytics™ Framework Looks At The Full AI Visibility Picture.
Entitylytics™ evaluates multiple layers that influence whether AI systems can identify, understand, trust, and recommend a business.
Resolution
Can AI clearly identify and distinguish the business from similar names, competitors, duplicate profiles, or unrelated entities?
Understanding
Can AI accurately understand the business model, services, products, audience, expertise, and geographic relevance?
Trust
Does enough public evidence exist for AI systems to treat the business as credible, legitimate, and worth recommending?
Recommendation
Can AI confidently connect the business to relevant customer needs, use cases, service scenarios, and recommendation contexts?
Intelligence
Which findings matter most, where does AI confidence weaken, and which opportunities should be prioritized?
Action
What should happen first, next, and over time to improve entity clarity, trust evidence, and recommendation readiness?
AI Visibility Builds On SEO, But It Requires A Broader Evidence View.
Entitylytics™ is not built on the idea that SEO is obsolete. It is built on the idea that AI systems use search, content, trust, and entity signals in new ways.
What Still Matters
Many of the fundamentals that have always mattered still matter: technical accessibility, clear information architecture, useful content, structured data, business consistency, reputation, and trustworthy public evidence.
- ✓ Clear business identity and service information
- ✓ Accessible website content and structured information
- ✓ Trust signals, reviews, credentials, and public validation
- ✓ Consistent profiles, listings, and third-party references
What Has Changed
AI systems do more than retrieve pages. They synthesize information, infer relationships, compare options, weigh trust signals, and generate recommendations. That makes the quality, consistency, and accessibility of business evidence more important.
Entitylytics™ helps businesses understand that shift and identify which signals need to be strengthened for AI-driven discovery and recommendation environments.
Built For Businesses That Need To Be Understood, Trusted, And Recommended.
Entitylytics™ is designed for business owners, teams, and agencies that want a clearer view of how AI systems may interpret their public presence.
Local Businesses
Service-area and local businesses that depend on being recommended for the right customer needs.
Ecommerce & Specialty Brands
Businesses that need AI systems to understand products, use cases, categories, expertise, and buying scenarios.
Multi-Location Organizations
Brands that need clearer location relationships, entity signals, service-area coverage, and public consistency.
Agencies & Consultants
Teams that need a credible diagnostic layer before recommending SEO, content, schema, reputation, or AI visibility work.
The Future Belongs To Businesses AI Can Understand.
Entitylytics™ exists to help businesses identify visibility gaps, strengthen trust and recommendation signals, and prepare for the next evolution of search.
Ready To Understand How AI Systems May See Your Business?
Choose an Entitylytics™ assessment and get a clearer view of your business entity, trust signals, recommendation readiness, and AI visibility constraints.