Stop guessing what AI says about you.
rVantage tests how AI answer engines describe your brand, identifies where you are missing, and routes canonical content updates through review.
From prompt test to published answer
Prompt simulation
Test the questions buyers actually ask AI engines about your category.
Answer gap detection
Find the questions where you are absent, vague, or competitor-framed.
Canonical answer generation
Draft the definitive answer, grounded in your wiki's proof points.
FAQ / schema recommendations
Structured data and FAQ markup so engines can cite you cleanly.
Entity consistency mapping
One name, one description, one set of claims — everywhere.
Citation readiness
Make your strongest evidence easy for AI engines to find and trust.
Competitive answer comparison
See whose framing wins each question, and by how much.
Approval workflow
Every content update routes through review before publication.
Monitoring after publication
Weekly re-tests confirm the answers actually changed.
AEO/GEO readiness, scored
From detected gap to approved answer
Detect
Prompt tests surface a missing or competitor-led answer.
Recommend
The lens drafts canonical content with evidence.
Route
The draft enters the right team's review queue.
Approve
Reviewers approve, revise, or send back with rationale.
Publish
Approved answers ship to site, FAQ, and schema.
Monitor
Weekly re-tests track whether AI answers improved.
r you answer-ready?
Run the first prompt battery against your brand in week one of a pilot.