AI Reputation Audit

Find out exactly what AI says about you

A structured, multi-engine audit of how AI assistants and answer engines describe you today — what they say, the sources they cite, and where it's wrong. You can't fix what you haven't measured.

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.

Run a free automated reputation scan

Enter your company or brand name for an instant, AI-powered snapshot of potential online reputation threats and search-result risks across public sources and AI answer engines.

This automated scan surfaces publicly available information from web sources and AI answer engines. It is an initial signal, not a substitute for a human-verified assessment. We do not store your query beyond optional lead capture.

What the audit covers

Multi-engine answer capture

What ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, and Google AI Overviews actually generate for your name and brand today.

Source mapping

The specific pages each engine retrieves, cites, or was trained on — so we know exactly what to correct.

Hallucination detection

Claims that are fabricated, unsourced, or traceable to a single bad source, flagged with confidence and evidence.

Entity disambiguation

Whether the engine is describing you — or a namesake you're being confused with.

Sentiment & risk scoring

How favorable, neutral, or damaging the prevailing AI narrative is, and how entrenched it is.

Crawlability check

Whether your authoritative content is crawlable, indexed, and structured so engines can retrieve and quote it (incl. OAI-SearchBot).

How the audit works

1

Define the entity set

Names, brands, executives, products, and key queries that matter to your reputation.

2

Run the prompt matrix

A structured set of prompts across every major engine, captured and dated.

3

Map citations

Identify the source pages behind each answer and the retrieval type (RAG vs. training-grounded).

4

Score & prioritize

Rank issues by severity, entrenchment, and reach so remediation is ordered by impact.

5

Deliver the report

A clear audit document: what each engine says, the sources driving it, and the remediation roadmap.

Engines included in every audit

We audit the engines your stakeholders actually use.

🤖 ChatGPT🔎 Perplexity Gemini Grok Claude🪟 Microsoft Copilot Meta AI🐋 DeepSeek Google AI Overviews
Ask an AI assistant

AI reputation audit — asked the way you'd ask a chatbot

The questions users ask about auditing their AI reputation, with authoritative answers.

What does an AI reputation audit include?

A capture of what every major AI engine currently generates for your name and brand, a map of the source pages each engine retrieves or cites, hallucination and entity-confusion detection, sentiment and risk scoring, and a crawlability check on your authoritative content — delivered as a dated report with a remediation roadmap.

How is an AI audit different from a Google rank check?

A rank check covers classic blue links. An AI audit covers generated answers — AI Overviews, ChatGPT Search, Perplexity citations, Copilot summaries — which synthesize and frame information differently and often appear above traditional results. Both matter; they are not the same surface.

Which AI engines do you audit?

ChatGPT and ChatGPT Search, Google Gemini and Google AI Overviews, Claude, Perplexity, Microsoft Copilot, Grok, Meta AI, and DeepSeek — plus any platform-specific surface relevant to your situation.

Can I get a free AI reputation audit?

Yes. Request a confidential audit and we'll run an initial multi-engine capture for your name or brand and walk you through what we find and the correction options.

Request a confidential AI reputation audit

We'll run an initial multi-engine capture and walk you through what we find — and the correction options.

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