NES
VC / PE diligence · Free · 2 minutes

Find where a portfolio company islosing focus.

Scan any portfolio or target company site through the NES framework. See whether the founder pitch, the public website, and the public-facing collateral hold together as one consistent narrative, or where the deck and the live site disagree.

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Just company and website. Diagnostic in about 2 minutes.
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Free. Results in about 2 minutes. PDF optional.

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It is the structured read we used to do informally. Now it sits in the deal memo as evidence.

Investment partner
What the scan surfaces

Where the deck and the website disagree.

Founders pitch one company in the room. The website often quietly tells a different one. The scan surfaces the gap so the deal memo, the board update, and the LP report can be honest about it.

Promise consistency

Does the public site describe the same company the founder pitches in the room?

Audience clarity

Is the site addressing the customer the founder claims to serve?

Trust signals

Are team credentials, customer logos, and press placed where due diligence would expect them?

Voice coherence

Does the writing voice match the founder's voice in conversation?

Identity drift

Has the company pivoted in ways the public site has not yet acknowledged?

Operational dissonance

Does the marketing pace promise more than the operating reality can support?

Who uses this

Three uses inside funds.

Investment partners

Before a deal memo, IC meeting, or follow-on. Adds a structured public-signal read to the diligence stack.

Platform + portfolio leads

Across the fund quarterly. Surfaces which portfolio companies need brand intervention before the next round.

Family offices and PE

On targets and recent acquisitions. The 10-component read becomes a standard pre-bid input.

Why this is not a ChatGPT audit

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 promptNES Brand Consistency Scanner
Gives general website feedbackUses a structured NES diagnostic framework
Depends on how good your prompt isBuilt around fixed consistency dimensions
Often says "improve headline / add proof"Shows identity confusion, trust leakage, and clarity gaps
One-off opinionRepeatable score and report structure
Website-only opinionConnects to review-inferred and measured customer consistency tiers
Hard to compare across brandsBuilt 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.

The NES diagnostic ladder

Same engine. Diligence-tuned read.

Free scan is the website layer. Deeper tiers add written diagnosis, customer-voice across portals, and measured cohort data.

1
Website-Based Brand Consistency Scanthis report

Fast website-only scan. Surfaces visible clarity, trust, identity, and message gaps in about two minutes.

2
Written Diligence Brand Memo

Human-reviewed deeper read. Pitch-vs-site gap, audience-fit analysis, trust-signal map, with quoted evidence usable inside a deal memo.

3
Review-Inferred Portfolio NES

Aggregated customer language across review portals, forums, and app stores. Shows the gap between the founder pitch and the lived customer experience.

4
Measured NES

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. This scan is not an investment recommendation and does not constitute financial or legal due diligence. Investment decisions must rest on independent diligence by qualified counsel.