Reputation Intelligence
Reputation Intelligence  ·  A 5W Research Franchise

The 5W
Reputation Index

What AI Says About You When You're Not in the Room.

AI engines now answer the world's questions about people, companies, and institutions. The Reputation Index audits the answer. It measures how AI systems stabilize, distort, reinforce, or fragment public reputation — across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.

What This Is

Not a popularity ranking. A study of reputation architecture.

A growing share of consumers, reporters, investors, and recruits now begin their research inside an AI engine, not a search bar. By the time they reach a person or a brand, an answer has already been formed for them — synthesized, confident, and rarely questioned.

The 5W Reputation Index is an ongoing research franchise that audits that answer. Each edition takes a public figure, a company, or a category of institutions and examines the reputation AI has already built for them: what surfaces first, what tone it carries, what it omits, what it gets wrong, and how stable it is across engines. The Index does not judge whether a subject is good or bad. It measures what kind of reputation AI preserves for them — and that distinction governs every edition.

How AI-Held Reputation Works

Reputation is now downstream of retrieval.

An AI engine does not hold an opinion. It synthesizes an answer from the sources it can retrieve — and then that answer hardens. Understanding the mechanism is the whole study.

01

Retrieval

The engine pulls from the sources available to it — news, reference pages, owned material, archives.

02

Synthesis

It compresses those sources into a single confident answer, led by whatever is most abundant and most authoritative.

03

Reinforcement

That answer becomes the dominant narrative — repeated, cited, and increasingly difficult to shift.

04

Durability

The narrative stabilizes. A crisis freezes; a rebrand fails to reset it. The answer outlives the moment that created it.

The consequence is simple and counterintuitive: an AI-held reputation is not built from fame or popularity. It is built from the coherence, control, and abundance of a subject's source base. Change the sources the engine retrieves, and you change the answer. Nothing else does.

The Methodology

Five engines. Multiple passes. Recurring findings only.

Every edition follows the same audit. Reputation is modeled across five AI engines — ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews — using more than 40 reputation-intent prompts per subject, spanning six intent categories: identity, trust, track record, controversy, comparison, and decision intent.

Each subject is audited across multiple passes. Only findings that recur across runs are reported — never a single output. Every read is triangulated against current independent sources, deliberately including critical and contrarian coverage as well as favorable coverage, so no finding is favorable by omission. Every factual and financial claim is verified independently. Findings are directional estimates, reported with stated confidence — a reputation audit, not a precision instrument.

The Scoring System

One composite score. Five equal dimensions.

Each subject receives a Reputation Index Score from 0 to 100. It is built from five dimensions, each scored 0–20 and equally weighted — no dimension is privileged. The score makes the audit comparable across subjects and trendable on re-audit.

Accuracy

Are AI's claims factually correct and current?

Sentiment

What is the valence of the framing surfaced first?

Completeness

Is what's material and true actually surfaced?

Consistency

Do the five engines agree with one another?

Control

Does the source base trace to the subject?

/100
A high score means a reputation that is accurate, fairly framed, complete, consistent across engines, and anchored in controlled sources. A low score means a reputation that is frozen, distorted, contested, or fragmented. The score measures the answer — never the person.
The Franchise Score Ladder

Fame did not produce the strongest reputations.

A representative score from each edition, ranked. The pattern holds across the franchise: coherence and a controlled source base outscore reach and fame every time.

Jensen Huang · Ed. 04
88
Demis Hassabis · Ed. 01
86
MIT · Ed. 09
84
Taylor Swift · Ed. 06
83
Dario Amodei · Ed. 01
82
JPMorgan / Jamie Dimon · Ed. 02 / 07
81
Delta · Ed. 08
77
Goldman Sachs · Ed. 02
73
Harvard · Ed. 09
68
Kim Kardashian · Ed. 03
66
Sam Altman · Ed. 01
64
Mark Zuckerberg · Ed. 05
64
Elon Musk · Ed. 10
56
The Editions

Edition 01 is live now.

The Reputation Index launches with its first study. Future editions are staged for the weekly release cadence and will be added here as they go live.

How Businesses Use the Index

A diagnostic — and a starting point.

Executive reputation

Founders and CEOs use a Reputation Index audit to see the narrative AI has built for them — before a board, an investor, or a reporter does.

Corporate & brand

Companies audit how AI frames them in buyer research, and where a frozen crisis is still costing them.

Crisis & pre-crisis

The Index maps the retrieval base before an event sets the narrative — so the infrastructure is built before the crisis, not during it.

M&A & diligence

Acquirers and investors use AI-held reputation as a read on a target's hidden narrative risk.

Glossary

The language of the Index.

AI-held reputation
The narrative an AI engine synthesizes and returns about a subject — distinct from public opinion or press coverage.
The dominant narrative
The single story that hardens across engines — what AI consistently leads with about a subject.
First surface
The opening sentence of an AI answer. The first surface is the reputation; most readers go no further.
The citation base
The set of sources an engine retrieves to build its answer. Reputation is downstream of the citation base.
Retrieval anchor
A high-authority source that disproportionately shapes the synthesized answer.
The reputation gap
The distance between the narrative a subject would write and the one AI returns.
Cross-engine consistency
The degree to which the five engines agree. Low consistency signals an unstable — and movable — reputation.
Limitations

What the Index is — and is not.

Directional, not precise. The Reputation Index reports directional estimates synthesized across engines and passes. It is a reputation audit, not a precision measurement instrument, and scores should be read as informed estimates with stated confidence.

Outputs vary. AI-generated answers vary by user, timing, and phrasing. Findings reflect dominant patterns observed across repeated passes — not any single response, and not a guarantee of what any one user will see.

It scores the answer, not the person. The Index measures the reputation AI preserves for a subject. It is not a judgment of the subject's character, conduct, or quality, and is not investment, legal, or reputational advice.

FAQ

Common questions.

Is this an SEO or GEO product?
No. The Index is reputation intelligence — it audits the narrative AI engines hold about a subject. The remediation work that can follow draws on retrieval and visibility expertise, but the Index itself is a research study, not an optimization service.
Does the Index rank whether someone is good or bad?
No. It measures what kind of reputation AI preserves — accuracy, sentiment, completeness, consistency, control. It does not assess character or merit. That distinction is the franchise's editorial and legal firewall.
How often is a subject re-audited?
The score is a trend line. Its value compounds on re-audit — quarterly, or after a major event — to show whether an AI-held reputation is moving.
Can a Reputation Index be run on my company or me?
Yes. The published editions are the franchise's flagship studies; 5W also runs the Reputation Index as a confidential audit for individual figures, companies, and institutions.
Reputation Intelligence — 5W

5W Shapes the Answer in the Box.

When someone asks an AI engine who you are, a synthesized answer comes back. The 5W Reputation Index audits that answer — and the work that follows rebuilds the retrieval base it is made of.

The answer is being given right now. The only question is whether anyone is shaping it.