What Is a
Narrative Intelligence Audit?

A plain-language guide to what we do, why it matters, and what you get — no data science background required.

Presented by Narrovue
01 — The Problem

Important documents are longer
and more complex than ever.

📄
Too Long to Read Fully

Policy documents, legislative bills, and corporate filings can run hundreds or thousands of pages. No human team can critically read every word.

Hidden Contradictions

Documents often claim to say one thing while containing internal contradictions, buried assumptions, or language designed to mislead.

📐
Rhetoric Goes Unmeasured

Fear language, authority claims, and urgency signals are baked into important texts — but rarely quantified or challenged.

NarroVue makes the invisible structure of documents visible — and defensible.

02 — Definition

Think of it like an X-ray
for documents.

Narrative

The story a document tells — its framing, emphasis, and conclusions.

Intelligence

Systematically gathered, analyzed insight — not just opinions or summaries.

Audit

A rigorous, structured examination with documented methods and defensible findings.

🏥 A Medical Analogy

A doctor doesn't just look at you and guess. They run tests. They use scanners. They measure things that the naked eye can't see. We do the same thing — but for documents. We run computational scans to measure the hidden structure inside any written text, then translate those findings into clear conclusions you can act on.

03 — Process

Five steps from your document
to your insights.

01
Framework Design

We define what to look for — power signals, urgency, ideology — tailored to your document type.

02
Computational Scan

AI tools process the entire document, segment by segment, at a scale no human reader can match.

03
Multi-Model Check

Results are cross-checked across multiple AI systems to reduce error and eliminate single-point bias.

04
Structural Mapping

We chart where topics shift, where contradictions occur, and where language changes intent.

05
Clear Reporting

You receive findings written in plain language — with supporting evidence, not just conclusions.

04 — Key Terms

Plain language glossary.

You don't need to know data science. Here's what the terms mean.

Sentiment Analysis

Measuring whether language is positive, negative, or neutral — and by how much.

Entity Extraction

Automatically identifying names of people, places, organizations, and laws in a document.

Co-occurrence Network

A map showing which ideas or words appear together, revealing hidden connections.

Rhetorical Scoring

A numeric score measuring how much urgency, threat, or authority language is present.

Narrative Shift

A detectable change in tone, framing, or emphasis partway through a document.

Fault Line

A place where a document contradicts itself or where competing goals collide.

05 — Insights

Six types of insight your
document is hiding.

Hidden Contradictions

Statements in one section that directly conflict with statements elsewhere — often where real intent leaks out.

Competing Ideologies

Conflicting worldviews living inside the same document — often unacknowledged by the authors themselves.

Rhetorical Pressure

Measurable signals of fear, urgency, or authority language used to steer the reader's interpretation.

Narrative Shifts

Places where the document's tone, focus, or intent changes — signaling transitions, compromises, or hidden agendas.

Coordination Signals

Language patterns suggesting that a document was coordinated across multiple authors or organizations.

Structural Bias

How a document weights evidence, whose voices are centered, and whose are systematically omitted.

06 — Example Output

Sample: Rhetorical Pressure Score
Across a Policy Document.

Each bar = one section of your document. Higher scores = more persuasion pressure. We tell you where, why, and what to do about it.

Rhetorical Pressure Score by Section (Scale 0–10)
Intro
2.1
Section 2
3.4
Section 3
7.8
Section 4
4.2
Section 5
8.9
Conclusion
5.5
⚠️ Section 5 — Score 8.9/10: Extreme urgency and threat language detected. This section merits close legal review.
Section 3 — Score 7.8/10: Competing ideologies detected. Two conflicting frameworks embedded in the same text.
Intro — Score 2.1/10: Low pressure language. Neutral framing consistent with stated document purpose.
07 — Audience

If your work involves high-stakes
documents, this is for you.

CEOs & Executives

Quickly understand the real intent and risk signals in contracts, regulatory filings, investor documents, and competitor disclosures.

Policy & Legal Teams

Surface internal contradictions and ideological fault lines in legislation, regulation, and policy briefs.

Journalists & Investigators

Identify coordination signals, strategic framing, and hidden messaging in press releases, government documents, and advocacy materials.

Political Science / Comms

Measure and map narrative strategy in political speech, campaign materials, and institutional communications.

Think Tanks & Researchers

Validate methodological rigor, detect framing bias, and compare documents across time or organizations.

Compliance & Risk

Flag language inconsistencies in disclosures, detect targeting patterns, and support evidence-based risk assessments.

08 — Deliverables

Clear deliverables.
No jargon. No black boxes.

Core Deliverables
  • Executive Report — clear, defensible findings in plain English
  • Visual Dashboards — interactive charts of key metrics
  • Section-Level Analysis — where shifts and contradictions occur
  • Topic & Narrative Map — a visual guide to the document's structure
  • Rhetorical Scoring — power, urgency, legitimacy measured numerically
  • Fault Lines Report — internal contradictions identified and explained
Optional Add-Ons
  • Raw Data Export — CSV / Excel for your own analysis
  • Co-occurrence Network Map — visual relationship diagrams
  • Cross-Document Comparison — audit multiple documents side-by-side
  • Ongoing Advisory — continuous monitoring for evolving documents
09 — Comparison

"Why not just use ChatGPT?"
A fair question. Here's the honest answer.

Feature Generic AI Chat Tool NarroVue Audit
Reads full document Often truncated or summarized Every segment processed
Reproducible results Varies each time you ask Documented, replicable pipeline
Cross-validated output Single model, single perspective Multiple models cross-checked
Defensible in legal/policy No — outputs are anecdotal Yes — evidence-based findings
Human oversight None — fully automated Principal Investigator-led
Structured reporting Conversational output only Formal reports with citations
10 — Engagement Options

Three ways to work together.

Clarity is leverage.
Structure is truth.

In an environment flooded with generated content and unverified claims — NarroVue provides both. You are not buying AI output. You are hiring a Principal Investigator using AI as a high-resolution analytical instrument.

www.narrovue.com · contact@narrovue.com