AIIC™
AI Inconsistency Check
What AI is saying
about you that
it shouldn't
AIIC™ audits and maps everything AI engines say about your brand that is incorrect, contradictory or outdated. Before building visibility, you need to eliminate the noise.
The problem
Inconsistencies cost visibility
AI recommends what it trusts
If AI engines have contradictory or incorrect information about your brand, they simply stop recommending it. Inconsistency generates distrust and silence.
Errors get amplified
A single incorrect source can contaminate multiple models. And once models learn it, they propagate it in millions of responses without anyone correcting it.
It is invisible to you
AI inconsistencies don't appear on any dashboard. You receive no alerts. The only way to detect them is by actively auditing what each engine says.
What we detect
6 types of inconsistency
we audit
Outdated information
AI still mentions a former CEO, a location that no longer exists, discontinued products or data that changed months or years ago.
Entity confusion
AI confuses you with another company, another person or a brand with a similar name. Responses mix your information with someone else's.
Incorrect attributes
AI attributes characteristics that aren't yours: a specialisation you don't have, the wrong sector, wrong company size or other false data.
Contradictions between engines
ChatGPT says one thing, Gemini says another, Perplexity a third. When engines disagree, AI loses confidence in your brand.
Critical absences
AI knows nothing about relevant achievements, important launches, awards or facts that should be part of your brand narrative.
Contaminated sources
An incorrect source — a fake review, an error-filled article, a badly edited Wikipedia — is distorting what AI learns about you.
Process
How AIIC™ works
Audit across 5 engines
We systematically query your brand on ChatGPT, Gemini, Claude, Perplexity and Grok. We collect and analyse every response.
Inconsistency map
We cross-reference responses, identify contradictions, wrong data, absences and problematic sources. Everything documented with evidence.
Correction plan
For each inconsistency, we define what needs to be done: fix a source, create content, update structured data or reinforce narrative.
Execution and verification
We implement the corrections and monitor that engines update their information. Some corrections are fast; others require time and consistency.
AIIC™
AI Inconsistency Check
What errors is your
brand carrying in AI?
Start with PULSE™ for a first picture. If you detect problems, AIIC™ maps them and defines the full correction plan.