ChatGPT, Gemini, Perplexity, and DeepSeek answer questions about your pricing, features, and hours. Sometimes they’re wrong. Pevatron brings those answers into an audit, checks factual claims against your official information, and gives your team a fix plan.
From “is that true?” to “here’s what to fix.” Review the claim, inspect the evidence, and decide what to change.
View the Tailscale sample report →Answer review · tailscale.com
Free tier stated as 3 users.
Official: The supplied brief says 6 users.
Standard price stated as $6.
Official: The supplied brief says $8.
Described as a VPN.
Official: The supplied brief describes positioning as Zero Trust.
Illustrative report data transcribed from the supplied design brief. Values and findings are not independently verified and may be out of date.
Example report · based on sample data, not a live audit.
Before they visit your site, buyers ask an AI engine about your business. The answer may be stale, incomplete, or wrong. Start with the questions that shape their decision.
An outdated price sets the wrong expectation before your first conversation. A buyer may rule you out before the demo.
A missing feature or a flattened description can take you off the shortlist and put a competitor in your place.
Wrong hours, eligibility, or service area can send a customer somewhere else before you hear from them.
An audit is more than a screenshot of a chatbot. It connects each factual claim to the captured answer, available citations, and your official information.
Use versioned, repeatable questions about your business so the answers can be compared across engines and over time.
Review each factual claim in context, including the exact answer span and any source the engine cited.
Compare claims with your official information. Prioritize stale, unsupported, or conflicting details and the sources your team can review.
Every flagged claim needs context: what was said, what the evidence supports, and which source your team should review next.
See the captured answer and the factual statement that needs attention.
Compare cited pages with your official information, and see when an answer has no supporting citation.
Identify the page or listing to review. A follow-up audit can show what changed without claiming what caused the change.
SEO tools measure ranking. Brand monitoring tracks mentions. Pevatron focuses on factual claims in captured AI answers and how they compare with your official information. The result is an evidence-backed issue to review and a source your team can consider changing.
It brings together what AI engines say about your business — pricing, features, hours, availability, and positioning — and compares factual claims with your official sources. The report highlights stale, unsupported, or conflicting claims with evidence and suggested next steps.
No. AI engines do not expose an edit button. Pevatron helps your team review cited sources, stale pages, and conflicting information. Your team decides what to update. A follow-up audit reports observed changes without guaranteeing an answer or proving causality.
The first audit uses public AI answers, your public website, and public listings. It does not need database access, admin credentials, or private customer analytics. If a suggested fix needs internal access, your team owns that change.
Yes. Explore the sample reports before requesting an audit. They show the claims, source comparisons, and possible next steps, and are clearly labeled as illustrative data.
See what they’re being told. Start with a sample report, then request an audit of your business.
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