AI Confidence Score Auditor
Scores how ready each product is for agent-led recommendation.
- +10-part scoring model
- +Category-level feedback
- +Historical audit runs
- +Clear priority ranking
Features
Score weak pages, rewrite them with structure, test buyer prompts, and keep the catalog consistent as it changes.
Scores how ready each product is for agent-led recommendation.
Rewrites product layers without flattening brand voice.
Flags vague, risky, or inconsistent language.
Tests whether copy answers real buyer prompts.
Simulates how an agent might interpret the page.
Creates JSON-LD that matches the page facts.
Builds FAQ content from buyer objections and product facts.
Turns product-level scores into a catalog action plan.
Keeps product language consistent across teams.
Gives agencies and internal teams clear access control.
Keeps readiness from decaying after launch.