Incorrect claims
Outdated, invented, or unsupported facts about the company, product, audience, pricing, locations, or capabilities.
Free interactive checker
AI brand risk checker
Turn a domain and industry into a structured review for hallucinations, missing citations, competitor displacement, inconsistent positioning, and unanswered buyer questions.
Free planning tool
Build a structured AI brand risk review
Enter a domain and industry to create a review checklist for the five risks that matter most. The checklist organizes evidence; it does not pretend to have queried AI models.
Five observable risk types
Treat “brand risk” as evidence, not a vague reputation score
Missing citations
A claim appears without an inspectable source, or the cited page does not actually support what the answer says.
Competitor substitution
Another company wins the shortlist, or the target is confused with a similarly named entity.
Inconsistent descriptions
Providers disagree about the brand's category, audience, use cases, or differentiators.
Unanswered buyer questions
High-intent discovery or evaluation questions produce no useful answer, target mention, or supporting source.
Prioritize commercial exposure
Test buyer questions, not vanity prompts
A wrong answer matters more when it appears during discovery, comparison, pricing, implementation, or risk evaluation. Start with questions a prospect could reasonably ask before choosing a provider. Then add named diagnostics to inspect factual knowledge.
Preserve the full answer and source set. A screenshot without the question, provider condition, timestamp, and citation evidence is difficult to reproduce or prioritize.
Choose defensible buyer questionsFrom finding to response
Match the corrective action to the observed failure
A factual error
Correct the canonical owned page, make the fact extractable, align major profiles, and document the source used for the correction.
A source gap
Publish or improve the page that directly supports the claim, then pursue legitimate third-party corroboration where it helps the buyer.
Competitor displacement
Compare the winning competitor's answer evidence and source set before changing messaging or content.
Inconsistent positioning
Standardize the entity name, primary category, audience, and defensible differentiators across owned and important third-party surfaces.
Question coverage gap
Create a useful answer for the actual buyer decision, connect it internally, and re-run the same question after recrawl time.
Checklist versus observed evidence
The free checker plans the review. The audit runs it across four providers.
The $9 first audit freezes 25 buyer questions, collects 100 planned answers, and reports mentions, competitors, citations, coverage, and evidence-linked actions.
- No subscription
- Answers and sources preserved
- Four-provider comparison
- Comparable question set for reruns
Contextual next steps
Connect this resource to answer evidence
Use the next resource that matches the decision at hand: define the program, inspect the method, or collect a comparable cross-provider baseline.
01
Measure mentions and citations
Run a frozen 25-question benchmark across four providers and inspect the underlying answer evidence.
02Choose the AEO or GEO lens
Map answer selection, brand understanding, SEO, and cross-model measurement to the right program.
03Technical readiness MCP
Give an agent a read-only check for indexability, canonicals, schema, sitemaps, and crawler access.
Common questions
Use the resource without overstating the result
What are AI brand risks?
AI brand risks are observable problems in generated answers that can distort buyer understanding: incorrect claims, missing or weak source support, competitor substitution, inconsistent descriptions, and unanswered decision questions.
Does this checker query ChatGPT, Claude, Gemini, or Grok?
No. The free checker creates a domain- and industry-specific review plan and records which risk areas you flag. A 100 Questions audit is the separate paid step that sends one frozen 25-question set across four providers and preserves eligible answers and citations.
How should AI brand risk be measured?
Use repeatable buyer questions, preserve the provider, model, timestamp, answer, and sources, then label each finding by risk type and business importance. Keep coverage failures visible instead of treating them as clean results.
Is a missing ChatGPT mention a brand risk?
It can be a commercial discovery gap when the question represents a real buying decision and relevant competitors appear instead. Absence from vanity prompts is not automatically a material risk.
Apply this resource
Put ai brand risk checker into a measured workflow
Preserve the questions, conditions, answers, citations, and failures so the next decision rests on inspectable evidence.