Find where your brand isleaking trust.
Scan your website to see whether your message, audience, trust signals, and brand voice are working together or pulling in different directions.
“This is not another website audit. It shows where the brand starts confusing the buyer before the sales conversation even begins.”
Three steps. About two minutes.
Just your name, work email, brand name, and website. We do not capture anything else.
The Scanner reads your homepage and key inner pages, then scores them against the NES framework.
The full report opens in your browser. The PDF lands in your inbox a few seconds later.
Six visible signals of brand consistency.
Can a first-time visitor understand what the brand does in 10 seconds?
Does the brand make the same core promise across homepage, pricing, product, and about pages?
Is it clear who the brand is for?
Does the website give enough proof to believe the promise?
Does the tone feel like one brand across pages?
Where might a buyer pause, doubt, or get confused?
This is not a website opinion. It is a brand consistency diagnosis.
Most AI website audits give broad suggestions: improve the headline, add testimonials, clarify the CTA. The Brand Consistency Scanner is powered by the Net Entropy Score framework, a diagnostic system built to identify where a brand's message, proof, audience, claims, trust signals, and customer promise start drifting apart.
| Generic AI website prompt | NES Brand Consistency Scanner |
|---|---|
| Gives general website feedback | Uses a structured NES diagnostic framework |
| Depends on how good your prompt is | Built around fixed consistency dimensions |
| Often says "improve headline / add proof" | Shows identity confusion, trust leakage, and clarity gaps |
| One-off opinion | Repeatable score and report structure |
| Website-only opinion | Connects to review-inferred and measured customer consistency tiers |
| Hard to compare across brands | Built for competitor comparison and tracking |
Powered by the Net Entropy Score framework. This scan applies NES scoring logic to detect message clarity, identity confusion, trust leakage, brand consistency, and diagnostic confidence.
This free scan is the first tier.
Each deeper layer adds a different kind of evidence: customer language, then customer-verified measurement.
Fast website-only scan. Shows visible clarity, trust, identity, and message issues.
Public customer-language analysis from reviews, forums, app stores, marketplaces, and social signals.
Customer-verified consistency measurement using structured survey and cohort data.
Ongoing tracking across reviews, surveys, channels, products, and segments.