AI Reputation Index

Measure your AI reputation like a market index

A structured, repeatable score of how you're represented across every major AI engine — so your AI reputation becomes measurable, trackable, and manageable over time, not anecdotal.

The core principle

AI platforms do not invent reputation from nowhere

They summarize, cite, and infer from public web sources, search indexes, media coverage, knowledge graphs, reviews, social content, and trusted third-party references. Reputation management in the AI era means improving the underlying public-web evidence that AI systems retrieve, cite, and summarize.

Public web pages

Authoritative sites, bios, about pages, and structured content AI can crawl and quote.

Search indexes

The ranked results engines retrieve and synthesize — especially for RAG-based answers.

Media & news coverage

Articles and press that engines cite as evidence and weight heavily in summaries.

Knowledge graphs

Entity panels and structured facts (e.g., Google's Knowledge Graph) that feed AI answers.

Reviews

Ratings and review-platform content that shapes how AI describes a brand or person.

Social content

Posts and threads (X, Reddit, forums) that real-time engines like Grok retrieve directly.

Trusted third-party references

Regulator filings, court records, Wikipedia, and established reference sources.

Fix the sources, and you fix what every AI engine retrieves, cites, and summarizes.

OpenAI

OpenAI says public websites can appear in ChatGPT Search, and recommends allowing the OAI-SearchBot crawler if you want your content included in summaries and snippets.

Implication: crawlability and structured, accurate content directly shape what ChatGPT Search retrieves and cites.

Google

Google says generative AI features (AI Overviews, AI Mode) still depend on foundational SEO — crawlability, indexing, clear structure, and useful content.

Implication: classic SEO fundamentals remain the lever for what Google's AI surfaces and summarizes.

What the index measures

Six dimensions, one composite score

Accuracy

Are the facts the engine states correct, current, and free of hallucination?

Sentiment

Is the prevailing narrative neutral, favorable, or damaging?

Source quality

Are the cited sources authoritative and accurate — or hostile and wrong?

Citation control

Does the engine cite your own authoritative content, or third parties speaking for you?

Entity integrity

Is the engine describing you — or a namesake?

Reach & prominence

How widely and how high does the damaging summary appear across surfaces?

Why track it

Reputation you can quantify

Baseline before you act

Establish where your AI reputation stands today so every correction is measured against a real starting point.

Prove the remediation worked

Re-run the same methodology and show the movement — from damaging summaries to accurate ones — with evidence.

Catch drift early

Scheduled re-measurement flags new hallucinations, resurfaced stories, or entity confusion before they spread.

Ask an AI assistant

AI Reputation Index — asked the way you'd ask a chatbot

The questions people ask about measuring and tracking AI reputation, with authoritative answers.

What is the AI Reputation Index?

The AI Reputation Index is a structured score of how a person or brand is represented across the major AI engines and answer surfaces. It measures accuracy, sentiment, source quality, citation control, entity integrity, and reach — so you can track your AI reputation over time the way you'd track a market index.

How is the index calculated?

We run a consistent prompt and source-mapping methodology across every major engine, score each dimension, and combine them into a composite index. The same methodology is repeated on a schedule, so movements in your AI reputation are measurable rather than anecdotal.

Which engines are in the index?

ChatGPT and ChatGPT Search, Google Gemini and Google AI Overviews, Claude, Perplexity, Microsoft Copilot, Grok, Meta AI, and DeepSeek — the engines your stakeholders actually ask about you.

How often should I track my index?

Continuously. AI answers shift as models update and indexes refresh, so we recommend scheduled re-measurement (monthly or quarterly) plus monitoring after major model releases or news events that could change your sources.

Get your AI Reputation Index score

Request a baseline measurement across every major engine and start tracking your AI reputation over time.

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