WhoCites
AI Visibility Audit for v0 Apps
v0 is strong at generating polished interfaces. WhoCites checks whether the public content behind that interface gives AI engines enough context to cite and recommend the product.
Run an AI visibility scanWhy this page exists
AI answer engines need extractable claims, comparison context, FAQ answers, schema, and public corroboration. A polished landing page can still be too thin or too generic to be recommended.
What the scan checks
WhoCites runs one paid scan and turns the output into a practical visibility report.
- Live AI answers for category and recommendation prompts
- Brand mention and citation behavior
- Competitor displacement
- Crawler surface readiness
- v0-ready prompts for richer copy and structured content
What the report includes
Each $49 scan includes one post-fix re-scan and practical recommendations.
- Visibility score across 7 sources
- Missed-answer details
- Competitor visibility
- Citation gaps
- Page-level fix prompts
- Included re-scan
Proof points
The product is intentionally small: one domain, one checkout, one report.
- Useful when the page looks finished but distribution is unclear.
- Focused on public visibility, not visual design review.
- Clear enough for a founder or a developer to execute.
Can beautiful landing pages still miss AI visibility?
Yes. Visual polish does not guarantee that AI systems understand the category, buyer, proof, or use case.
What does WhoCites tell me to change?
It prioritizes homepage copy, FAQ answers, metadata, schema, comparison sections, and outside-source opportunities.
Is this a design critique?
No. It is a visibility scan for what AI engines say and cite.