Free AI Audits Can Give You A Scan. Entitylytics™ Gives You Strategic Intelligence.
Entitylytics™ is an assessment-first approach to AI visibility. We evaluate how cleanly AI systems identify, understand, trust, and recommend your business, identifying hidden data graph fractures caused by platform migrations, theme code overrides, or loose digital footprint alignment, then turn those findings into practical business priorities.
AI Visibility Is Not Just A Score. It Is An Evidence Problem.
Many AI audit tools can generate a quick score, scan a website, check for basic technical issues, or show whether a business appears in selected AI responses. Those tools can be useful as a starting point.
But a score does not always explain the deeper issue: whether AI systems can confidently understand what your business is, what you do, where you operate, why you are credible, and when you should be recommended.
Entitylytics™ is designed to evaluate those deeper signals. The goal is not just to say whether your business is visible. The goal is to identify the evidence gaps, trust limitations, clarity issues, and recommendation barriers that may affect how AI systems interpret your business.
Free Tools Can Detect. Entitylytics™ Interprets.
The difference is not that free audits have no value. The difference is that Entitylytics™ is built to explain what the findings mean for business identity, trust, and AI recommendation readiness.
Typical Free AI Audit
Useful for a quick scan, but usually limited by automation, scope, and surface-level detection.
Entitylytics™ Assessment
Built to evaluate how AI systems may understand, trust, and recommend the business as an entity.
The Four Questions Behind AI Recommendation Confidence
Entitylytics™ focuses on the public evidence AI systems may use to decide whether your business is clear, credible, relevant, and recommendable.
Can AI Identify The Business?
We review whether the business is clearly presented as a distinct entity across its website, public profiles, location signals, structured data, and supporting online references.
Can AI Understand What It Does?
We evaluate whether services, products, audiences, locations, differentiators, and expertise are clear enough for AI systems to interpret the business accurately.
Can AI Trust The Evidence?
We look at visible credibility signals, reputation, transparency, validation, expertise proof, and third-party evidence that may support or limit AI confidence.
Can AI Recommend It?
We assess whether enough evidence exists for AI systems to recommend the business in relevant scenarios, including where recommendation confidence is strongest or weakest.
What Is Holding It Back?
We identify clarity gaps, evidence gaps, trust limitations, unsupported recommendation scenarios, and public-surface weaknesses that may reduce AI visibility quality.
What Should Be Fixed First?
We prioritize the improvements most likely to strengthen entity clarity, understanding, trust, and recommendation readiness before the business invests in larger execution work.
We Diagnose Before Prescribing.
Many audits are created to sell the next service. Entitylytics™ is designed to help you understand the problem before deciding what to build, rewrite, optimize, or promote. We are an independent diagnostics and assessment platform. We do not upsell generic retainer packages or development implementation services; our sole product is objective strategic intelligence.
Understand The Entity
Before chasing AI visibility, the business needs to be clearly understood as an entity: who it is, what it does, where it operates, who it serves, and what it should be associated with.
Identify The Evidence Gaps
AI systems depend on accessible public evidence. We evaluate whether the business has enough visible proof to support confidence, clarity, and recommendations.
Prioritize What Matters
Instead of handing over a generic checklist, the assessment organizes findings into practical priorities based on likely visibility constraints and business impact.
Built From Real Search And Business Experience
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 Matters
Entitylytics™ Is For Businesses That Need More Than A Quick Score.
A free audit may be enough if you only want a quick scan. Entitylytics™ is for businesses that want to understand the deeper reasons AI systems may or may not confidently recommend them.
Local Businesses
Businesses that depend on being understood, trusted, and recommended in local or regional service scenarios.
Multi-Location Brands
Businesses that need clearer entity relationships, location signals, service-area understanding, and consistency across public surfaces.
Agencies
Agencies that need a credible diagnostic layer before recommending AI visibility, SEO, content, schema, reputation, or trust-building work.
Decision Makers
Owners and teams that want to know what matters most before spending money on implementation, content, tools, or marketing campaigns.
The Interactive Analyst Assistant
Every full assessment includes access to our embedded Interactive Analyst Assistant, a context-aware translation engine inside your private client portal built to decode technical changes and jargon into plain English on demand.
Zero Technical Confusion
Ask "what does this constraint mean?" to get an immediate, jargon-free explanation of underlying code metrics.Developer-Ready Handoff
Instantly translate high-level database data opportunities into explicit step-by-step optimization tasks for your web team.On-Demand Guidance
Navigate structural trust parameters and priority roadmaps with an on-call model that understands your specific data profile.Entitylytics™ Does Not Compete With Free By Being Cheaper. It Competes By Being Clearer.
Free audits can be useful. But if you need to understand how AI systems may interpret your business, where confidence breaks down, and what evidence should be strengthened first, you need more than a scan.
A Score Is Not A Strategy
Scores can create awareness, but they rarely explain what should be fixed first or why a particular weakness matters to AI understanding and recommendation confidence.
Visibility Requires Evidence
AI systems need more than a business name and a few service pages. They need clear, consistent, credible public evidence that supports understanding and trust.
Recommendations Require Confidence
Being found is not the same as being recommended. Entitylytics™ focuses on the conditions that may help AI systems justify recommending the business.
Ready To See How AI Systems May Understand Your Business?
Start with an Entitylytics™ assessment and get a clearer view of your business entity, trust signals, recommendation readiness, and AI visibility constraints.