The Presara Evidence Graph
Presara maps whether publicly available evidence is clearly and consistently associated with the correct business entity, services, locations, expertise, products, and projects.
Reviewed by Presara Systems AI Visibility Team · Built for AI search readiness, entity clarity, and machine-readable trust · Designed for businesses preparing for ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews
Don’t Just Find What’s Missing. Find What’s Wasted.
What the Evidence Graph Maps
- Business → services → locations → expertise → products → projects
- Supporting evidence from websites, reviews, social, images, video, profiles, and public listings
- Relationships that are clear, inconsistent, missing, or poorly connected
A Practical Example
A roofing company may have hundreds of photographs demonstrating metal-roof installations. But its website, profiles, captions, and public content may create only weak associations between that evidence and its metal-roofing service. Presara identifies these disconnects so the business can prioritize appropriate repairs.
Why Relationships Matter
The objective is not to collect more content for its own sake. It is to identify whether publicly available evidence is clearly and consistently associated with the correct business entity — helping machines interpret the business with less ambiguity.