Use cases

Start with the decision you need to make.

These workflows define what is measured, what evidence is reviewed, who approves a correction and what a comparable follow-up can honestly show.

AI recommendation visibility

Record whether a business appears in a fixed set of commercially relevant AI answers.

Compare statements in selected AI answers with confirmed public business evidence.

Measure selected service-and-location questions without promising a stable local ranking.

Compare the same core questions across branches, markets or operating regions.

Establish a dated public-evidence baseline before and after a supported launch.

Track old and new names, domains and public evidence through a controlled migration.

Observe which entities appear in selected category answers without making unsupported competitor claims.

Turn confirmed AI-answer and public-evidence gaps into exact, reviewable website changes with recorded approval and follow-up measurement.

Use accurate page structure and structured data as supporting evidence, not a magic ranking mechanism.

Repeat controlled prompts, retain versions and record what changed or remains uncertain.