Entity Authority
How clearly the business, category, services, people, location, and expertise can be identified and corroborated.
AI visibility methodology
How we evaluate AI visibility
We evaluate whether a business is accessible, understandable, relevant, verifiable, and sufficiently supported to be considered when AI platforms form answers and recommendations.
The free AI Visibility Scan uses point-in-time public web evidence to identify likely strengths and gaps. It is a diagnostic estimate, not a direct audit of every AI platform or a guarantee of recommendation.
Core AI visibility signals
Five categories shape the AI visibility assessment
Each category is evaluated from the public evidence found during the scan. The overall score is a separate holistic estimate, not a fixed weighted average.
Schema Markup
How clearly structured-data signals help search and AI systems interpret the business and its content.
Citation Depth
The strength and consistency of independent profiles, listings, references, and third-party evidence.
Review Visibility
The visible quantity, recency, consistency, and distribution of customer-review evidence.
Content Coverage
How thoroughly the website explains services, expertise, locations, customer needs, and comparison questions.
Overall AI Visibility Score
A 0–100 assessment of the combined public evidence and likely recommendation readiness.
Evaluation process
From public evidence to prioritized AI visibility decisions
The scan defines the business context, examines available evidence, compares relevant competitors, and identifies the gaps most likely to affect AI visibility.
Category detection is checked against the website's actual content so the assessment and competitor set reflect the services the business really provides.
- 1
Define the business and buyer context
Confirm the business, location, category, services, and likely recommendation questions.
- 2
Examine the available evidence
Review the website, search-visible business information, structured data, reviews, citations, and content.
- 3
Identify clarity and confidence gaps
Compare the business with relevant competitors and locate weak or inconsistent signals.
- 4
Prioritize the work
Focus on improvements most likely to strengthen visibility, trust, and qualified demand.
Interpreting the result
The scan identifies likely AI visibility gaps—not permanent platform rankings
Platform scores estimate recommendation readiness from public business signals. They should not be read as confirmed rankings, citations, or direct recommendations from every platform shown.
Results can vary by platform, prompt, location, available sources, competitors, and timing.
What the evaluation can reveal
- Where business information appears clear or difficult to verify
- Which AI visibility signal categories appear strongest or weakest
- Where competitors present clearer or better-supported evidence
- Which website, authority, review, citation, or schema improvements deserve attention
- When a deeper visibility review or direct platform testing may be useful
Methodology boundaries
What this AI visibility methodology does—and does not—claim
The framework explains the factors evaluated and how findings are interpreted. Proprietary prompts, validation logic, and implementation processes remain confidential.
The scan is a point-in-time diagnostic based on available public evidence. It does not reproduce the proprietary algorithms of ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, or Meta AI.
For score ranges and reference data, see the AI Visibility Score Benchmarks.
Evaluate your AI visibility
See where your business may be harder for AI systems to understand and recommend
Run the free AI Visibility Scan for an initial estimate, or explore the AI Visibility service for deeper validation and implementation.