Find where your DTC brand isleaking trust.
Scan any DTC site through the NES framework. See whether the hero promise, product pages, founder story, and trust signals are working together, or pulling buyers in different directions before checkout.
“Post-iOS14 our CAC doubled. The scan showed the leak was on the site, not the ad account.”
Co-founder, beverage brand
Where the conversion quietly leaks.
DTC sites lose buyers between the hero promise and the checkout button. The scan surfaces the specific places that gap shows up across pages.
Does the hero, PDP, founder story, and reviews tab make the same promise?
Are returns, shipping, and customer reviews easy to find before checkout?
Is the brand speaking to one buyer, or splitting across age, lifestyle, and use case?
Are sustainability, sourcing, or efficacy claims backed where buyers look for proof?
Has the brand widened the SKU range without keeping the story coherent?
Does the premium voice match how the product actually arrives at the door?
Three uses inside DTC.
Before a relaunch, repricing, or fundraise. The 10-component read sharpens the pitch deck and the homepage at once.
Before a paid-acquisition rebuild. Identifies the on-site leaks driving CAC before more spend lands on top.
Before pitching a rebrand, repositioning, or CRO engagement. Quoted-evidence diagnosis the brand owner believes.
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.
Same engine. DTC-tuned read.
Free scan is the website layer. Deeper tiers add written analysis, customer-voice across review portals, and measured cohort data.
Fast website-only scan. Surfaces visible clarity, trust, identity, and message gaps in about two minutes.
Human-reviewed deeper read. Hero-to-PDP coherence, trust-signal placement, claim friction map, with quoted evidence and improvement directions.
Customer language aggregated across Trustpilot, Amazon, Reddit, and Instagram comments. Shows the gap between site promise and what buyers say after delivery.
Customer-verified consistency measurement using structured cohort survey and the v4.0 NES instrument. Defensible to a board or investor.
Net Entropy Score (NES) v1.0. Working paper: SSRN Abstract 6667158. This Website-Based Brand Consistency Scan is AI-assisted and derived from public website signal pattern recognition on the submitted pages only. Outputs are directional estimates calibrated to the NES framework, not precision forecasts or professional advice. AI systems can make mistakes, miss context, or misinterpret public information. NES, Impossible Marketing, and affiliated operators are not liable for decisions, losses, or actions taken based on this scan. Use this report to open questions and guide further diligence, not as the sole basis for business, investment, legal, financial, or operational decisions.