Turning local search signals into restaurant actions
The latest agent runtime work brings streaming UI components and recommendation support together, so a restaurant's public presence can become a practical action plan instead of another static audit.
Restaurant operators already have a public trail of useful signals: Google Business Profile data, reviews, menu availability, photos, opening hours, and ordering touchpoints. The hard part is turning those signals into decisions.
Foodism's recent backend diagnosis work scores those signals into clear dimensions, while the web experience renders the output as a focused report preview. The agent runtime adds streaming UI and recommendation support so the same diagnosis can become an interactive workflow.
The goal is simple: show the operator what Foodism sees, explain why it matters, then guide them toward fixes that improve discovery, trust, and conversion.