Ask
Run recurring customer-intent questions against configured AI engines and keep the exact answer.
AI visibility monitoring
See what AI says, then fix what it cannot verify.
KoreLens tracks the AI answers customers are likely to see, including whether your business appears in discovery questions that do not name you. The monitoring is tied to fix packs, revenue-at-risk assumptions, and weekly proof so it becomes a workflow, not a screenshot.
Readiness and proof, not guaranteed placement. Platform approval and ranking decisions stay with each platform.
Product preview · in the real dashboard, every number is measured — never sample
Real stored answers, not simulated claims
Discovery queries that do not name the brand
Competitor comparison on tracked questions
Weekly reports and alert loops
Operating layer
From visibility gap to governed proof.
Prioritize
Rank missed questions by commercial assumptions the owner can edit and source.
Act
Send the buyer to one fix path: patch facts, regenerate, publish, and rerun.
Why it compounds
At scale, monitoring becomes benchmark intelligence: which prompts matter by vertical, which sources win, and which corrections hold.