Strong visibility
Core business, content, authority, and verification signals appear consistently strong.
AI visibility score guide
Use these benchmarks to understand whether your business currently shows strong, moderate, limited, or low recommendation readiness across the signals we evaluate.
The overall score provides direction. The category results show what should be strengthened first.
Score ranges
Higher scores generally indicate clearer, more complete, and better-supported signals. Lower scores identify gaps that may make a business harder to understand, verify, compare, or recommend.
These are Equity Web Solutions diagnostic benchmarks. They are not ratings published or endorsed by OpenAI, Google, Anthropic, Perplexity, Microsoft, Meta, or xAI.
Core business, content, authority, and verification signals appear consistently strong.
Most important signals are present, with a smaller number of meaningful gaps remaining.
The business has a workable foundation, but several weaknesses may limit recommendation confidence.
Important clarity, evidence, authority, or coverage gaps are likely reducing visibility.
Major foundational gaps may make the business difficult for AI systems to retrieve, verify, or support.
Behind the score
A business can earn a reasonable overall score while still having one weak category that deserves immediate attention.
Whether important pages can be reached, crawled, indexed, and retrieved.
How clearly the business, people, services, locations, and relationships are represented.
Whether the website answers the questions buyers ask before choosing a provider.
The strength of reviews, credentials, experience, case studies, citations, and third-party proof.
Whether important facts are organized consistently for search engines and other systems.
Whether the available evidence makes the business a clear and defensible recommendation.
Using the result
The most useful next step is to identify the weaknesses that affect the most important services, buyers, locations, and recommendation questions.
A lower score does not mean every part of the business is weak. A higher score does not mean there is nothing left to improve.
Fix foundational access and clarity problems first. AI systems cannot use information they cannot reliably retrieve or understand.
Strengthen the lowest high-impact category. Focus on gaps connected to qualified demand and buyer decisions.
Measure changes over time. Compare later results using similar business, platform, location, and question context.
Why scores change
Results can change even when the website has not changed because AI systems, retrieval sources, and recommendation contexts are dynamic.
Different AI systems use different models, sources, and retrieval processes.
Small changes in wording or buyer intent can produce different businesses and sources.
Local relevance, service area, and the user's location can influence results.
Indexes, sources, model behavior, reviews, competitors, and available evidence change over time.
No score guarantees that an AI platform will recommend a business. For additional context, read how AI decides which businesses to recommend.
Establish your benchmark
Run the free checker for an initial score, then use the category results to understand which signals deserve attention first.