We don't audit your AI presence. We help your brand fix it.
Most audits hand you a score and walk away. kbie feeds what it finds back into your brain — so your brand self-corrects.

The trouble with a one-off audit
Plenty of tools will tell you how AI describes your brand. You get a dashboard, a score, maybe a screenshot of ChatGPT getting your tagline wrong. And then nothing changes. The report sits in a tab; the model keeps saying the wrong thing.
A score isn't a fix.
AEO as a learning loop
kbie treats answer-engine optimization as a cycle, not a report. It checks how engines like ChatGPT, Gemini and Claude describe you, scores the gaps — then feeds the findings back into your brand brain as proposed learnings. You approve what's true; the brain absorbs it.
The next time anything is generated or audited, it's working from the corrected truth.

Why the loop wins
Each pass closes a gap. The brain compounds instead of decaying, and your AI presence gets measurably better over time — not because you re-ran an audit, but because the system learned.
What it looks like in practice
Measure how you're described. Learn what's off. Ground the brain in the correction. Re-measure. The gap between what AI says and what's true keeps shrinking — on its own.
Related insights
- What does an ad compliance check actually check? The 13 rulebooks, clause by clause
An ad compliance check in India reads an ad against the rules in force and names the clause behind each finding. Here are the rulebooks, and what they ask.
- The generalist is already speaking for your brand.
Why specialist AI beats the generalist — and how to make your brand one.
- Clear the tension gate.
Why a few good questions make your brand's AI dramatically better.