OWN THE CONVERSATION
AI Visibility Scan
Run Scan
Sample AI Visibility Scan Report
Understand the score, the Digital Twin target, and what the report is really showing.
How To Read An AI Visibility Scan Report
The report is designed to make the AI visibility gap easy to understand. It compares what the current website gives AI systems today with what a structured Digital Twin layer can provide.
This is the readiness score from the public website scan. It reflects accessible content, discovery signals, structured data, answer-ready pages, location/service clarity and useful image signals.
A low score does not mean the business is bad. It usually means the website was built for people, not for AI systems.
The target score estimates the likely improvement from adding a controlled AI-readable Digital Twin beside the existing website.
Keep the human website. Add the structured business brain that AI systems can understand.
Robots, sitemap, schema, RSS, public JSON, llms.txt style files and other discovery signals.
FAQs, Q&A pages, service explanations and content that can be turned into useful answers.
Business name, category, services, location, contact signals, proof points and image context.
Some websites block automated access, time out, or return very little usable content. When that happens, the report should say the automatic scan could not complete rather than showing a misleading score.
That is not a failure of the business. It simply means the public website may need manual review or a cleaner AI-readable layer.