Catch what AI engines
invent about your brand.
AI hallucination detection for brand facts — pricing, features, founders, HQ, founding year. Every scan fires five targeted fact-check prompts per engine and classifies each finding by severity.
Fact types checked per engine per scan: pricing, founders, HQ, features, founding year
Severity classification — from mostly right to defamatory
Automated scanning cadence on Growth and Pro plans
Automated detection
Five prompts. Five fact types.
Every scan, every engine.
01
Record your ground truth
Enter your verified brand facts: current pricing tiers, founding year, headquarters city, top three features, and founder names. These become the benchmark every AI response is measured against.
02
Five prompts fire per engine
Every scan sends five targeted fact-check queries to each AI engine on your plan — one per fact type. Each prompt is crafted to elicit the engine's actual belief about that specific claim.
03
Claude Haiku classifies each finding
Every response is evaluated against your ground truth and assigned a severity level: mostly right, outdated, confused, fabricated, or defamatory. You receive a timestamped report for every discrepancy.
Evidence you can act on
Timestamped findings.
Direct quotes.
Every finding includes the exact text each AI engine produced, the fact type it contradicts, and your recorded ground truth side-by-side. Forward this directly to the AI provider's correction channel or share with your PR team.
- ◆Engine name, fact type, and timestamp for every finding
- ◆Exact AI-generated quote — screenshot-ready evidence
- ◆Your verified ground truth displayed alongside for comparison
- ◆Severity classification from mostly right to defamatory
- ◆Email notification when new hallucinations are detected
AI said: "Plans start at $9/month with a free tier for individual users. Business pricing from $29/month for up to 10 seats."
Your fact: No free tier. Starter plan begins at $49/month.
AI said: "Headquartered in Austin, Texas, with additional engineering offices in New York."
Your fact: Relocated to San Francisco, CA in Q3 2024. Austin office closed.
AI said: "Founded in 2018 by a team of former enterprise software engineers."
Your fact: Founded in 2019. Founder backgrounds differ from the AI description.
Illustrative example — your actual report reflects your brand facts
Five-tier severity
Not all hallucinations are equal.
Each finding is classified so your team knows exactly how urgently to act — and what specific action to take.
What it means
Minor inaccuracy embedded in an otherwise correct description. The AI has the broad picture right but one specific detail wrong.
Recommended action
Monitor for drift. Clarify the specific detail in your public content and documentation.
What it means
Information was accurate at a prior point in time but now reflects a previous state of your business.
Recommended action
Update your content with current information, add a visible revision date, and submit to key third-party directories.
What it means
Your brand's facts are mixed up with a competitor or another company operating in your space.
Recommended action
Strengthen differentiation messaging. Publish explicit comparison content and ensure your entity data is unambiguous.
What it means
The AI produced specific details — numbers, names, claims — with no factual basis in any known source.
Recommended action
File a correction through the AI provider's feedback mechanism. Document all instances with timestamps.
What it means
False statements that could meaningfully damage your brand's reputation or business relationships.
Recommended action
Escalate to legal counsel immediately and preserve all evidence. File corrections with every affected engine.
Five fact types
The claims AI gets wrong most often.
Pricing
Wrong tiers, invented free plans, fabricated monthly or annual costs
Features
Capabilities you don't have, integrations that don't exist, workflow claims
Founders
Invented names or backgrounds attributed to your founding team
Headquarters
Wrong city, country, or office location details
Founding Year
Incorrect incorporation date, launch year, or company age
Real consequences
Wrong AI facts damage real pipelines.
Pricing errors
most common hallucination type
AI engines frequently invent pricing tiers, free plans, and cost figures that don't match your actual offering — arriving in sales conversations as buyer expectations your team has to undo.
Feature claims
second most common type
AI engines describe integrations and capabilities your product doesn't support, creating support tickets, failed trials, and churn from expectations your product never set.
Undetected
without systematic scanning
AI model knowledge updates without warning. A correct description today may become a fabrication after the next fine-tune. You'll only discover it when a prospect quotes it back at you.
Scenarios described are illustrative examples based on the hallucination categories GEOscanAI detects.
Plan availability
Included on Growth and Pro.
Hallucination scanning included
Scanning + email alerts
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14-day free trial. No credit card required. Hallucination detection on Growth and Pro.
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