AI Reputation Audit: 20 Questions Every CEO Should Ask

CEOs should ask 20 questions about their company's AI reputation, starting with what ChatGPT, Gemini and Claude say about the business, whether they recommend it, and whether the answers are accurate. AI assistants now help consumers, investors, employees and business buyers compare companies, so leaders need a documented way to check, measure and correct how their organization is described.

Last updated: October 31, 2026

Your company may have spent millions building its reputation. But what happens when a potential customer asks ChatGPT, Gemini or Claude whether your business is worth trusting?

For decades, corporate reputation management focused heavily on journalists, search engines, industry analysts and social media. Artificial intelligence is introducing another important channel. Consumers, investors, employees and business buyers can now ask AI assistants to compare companies, recommend providers, explain controversies and summarize corporate reputations.

The answers may influence what people research next, which companies enter their consideration sets and which businesses they decide to contact. Yet many corporate leaders have limited visibility into how AI systems describe their organizations. The sections below cover the 20 questions, a basic audit process, warning signs and answers to common questions. They build on the broader practice of corporate communications and the newer discipline of AI visibility.

What Does AI Say About Our Company Today?

The first six questions test what AI assistants currently say about a company, whether they recommend it, and how accurate and distinctive the description is.

What Does ChatGPT Say About Our Company?

Start with the simplest question. Ask ChatGPT to describe your company, its services, competitive advantages and potential weaknesses. Then compare the answer with the company's actual positioning.

• Does the description accurately explain what the business does?
• Does it reflect the company's current operations?
• Are important products, services or achievements missing?

CEO action: Document the answers and identify material inaccuracies.

Does AI Recommend Our Company?

Ask relevant AI systems to recommend companies in your industry. For example: "Which public relations agencies specialize in corporate crisis communications?" Or: "What are the leading cybersecurity companies for midsize businesses?" Does your company appear? If not, which competitors are recommended?

CEO action: Test several realistic customer questions rather than relying on one prompt.

Which Competitors Appear More Frequently Than We Do?

Competitors can appear more often than your company in AI answers, and AI visibility is often a competitive issue. A company may have substantial revenue, excellent customer relationships and a strong traditional search presence yet appear inconsistently in AI recommendations.

CEO action: Compare brand appearances across a consistent set of industry-specific questions.

Is AI Describing Our Company Accurately?

AI-generated descriptions can contain outdated information or factual errors. Examples include incorrect executive names, discontinued products, obsolete office locations and inaccurate service descriptions.

CEO action: Maintain a prioritized list of inaccuracies and the public sources that may need correction.

Are Old Corporate Controversies Affecting Our AI Reputation?

Old controversies can still shape AI answers, because older reporting and public records often remain accessible even after a dispute is resolved. AI systems may mention those events when asked about a company's history or reputation.

CEO action: Review whether answers provide accurate context, including documented resolutions and subsequent developments.

Does AI Understand What Makes Our Company Different?

AI systems may describe a company with generic industry language even when the business has invested heavily in distinctive positioning. If competitors receive similar descriptions, the company's differentiation may not be clearly represented in available sources.

CEO action: Evaluate whether public information consistently explains the company's actual specialties and competitive advantages.

Which Sources and Assets Shape How AI Describes Us?

Questions 7 through 10 look at the sources, website, executives and recent news that feed AI descriptions of a company.

Which Websites Influence How AI Describes Our Business?

Depending on the product and query, AI answers may reference news publications, company websites, review platforms, industry directories and other sources. Some systems display citations or links. Others do not.

CEO action: Examine available citations and identify recurring source categories. Do not assume visible citations reveal every influence on an answer.

Is Our Corporate Website Easy for AI Systems to Understand?

A company's website should clearly explain its services, leadership, locations, products and areas of expertise. Important information should be accessible, accurate and consistently presented.

CEO action: Review website structure, factual clarity, technical accessibility and relevant structured data.

Are Our Executives Recognized as Industry Experts?

AI systems may associate executives with industries, companies, publications and areas of expertise. Those associations depend on available information and the specific question.

CEO action: Review whether executive biographies, documented accomplishments, published commentary and speaking appearances are represented accurately.

Does AI Recognize Our Recent Achievements?

Companies regularly announce acquisitions, product launches, geographic expansion and new partnerships, and AI systems may not consistently incorporate those recent developments.

CEO action: Test whether important announcements are reflected in current answers, while accounting for differences in model freshness and web access.

How Does AI Handle Trust, Services and Markets?

Questions 11 through 16 cover the higher-stakes areas: trust, service coverage, international differences, reviews, leadership information and buying questions.

Does AI Say Our Company Is Trustworthy?

Asking an AI system whether a company is trustworthy is one of the most consequential reputation tests. AI systems may summarize reviews, litigation, regulatory matters, media coverage and other public information. Their answers can also be incomplete or misleading.

CEO action: Evaluate the factual basis of responses and distinguish substantiated concerns from unsupported claims.

Does AI Recommend Our Competitors for Services We Provide?

Companies can lose visibility when AI systems fail to associate them with relevant services. For example, a communications firm specializing in financial services may be omitted from recommendations about financial communications.

CEO action: Test each major service line independently.

How Does Our AI Reputation Differ Across Countries?

Brand recognition varies internationally, so AI answers about the same company can differ by country. Different languages, markets and local information sources can influence how AI systems describe businesses.

CEO action: Compare answers in important markets and languages using a consistent testing process.

Are Our Customer Reviews Affecting AI Recommendations?

Customer reviews can provide information about customer experience, service quality and recurring complaints. AI systems may use or summarize review-related information when it is accessible and relevant.

CEO action: Examine whether AI answers accurately characterize customer feedback and avoid overinterpreting isolated reviews.

Can AI Find Reliable Information About Our Leadership?

Corporate leadership information should be accurate and easy to verify. Inconsistent biographies, outdated titles and missing executive information can create confusion.

CEO action: Maintain current leadership pages and consistent public biographies.

Customers may ask: "Which company should I hire?" "What are the best alternatives?" "Which provider is suitable for a company of my size?" These questions can differ substantially from traditional keyword searches.

CEO action: Develop a set of realistic purchasing questions based on actual customer needs.

Who Owns AI Reputation, and How Is It Measured?

Questions 17 through 20 turn the findings into measurement, accountability, a response protocol and a 12-month plan.

Are We Measuring AI Visibility or Just Guessing?

A single favorable ChatGPT response is not proof of strong AI visibility, because results can vary between sessions, prompts, products and dates.

CEO action: Use a documented methodology that records the model, date, prompt, response, brand mentions and visible citations.

Who Inside Our Company Owns AI Reputation?

AI reputation intersects with several departments, so ownership has to be assigned deliberately.

• Marketing manages positioning.
• Communications manages public narratives.
• Technology teams manage website infrastructure.
• Legal teams address material inaccuracies and risk.
• Executive leadership determines strategic priorities.

CEO action: Assign clear accountability and establish a process for reviewing significant issues.

What If AI Gives False Information About Us?

The appropriate response to false AI information depends on the nature of the error. Possible steps include correcting inaccurate information on company-controlled pages, requesting corrections from third-party publishers and using available platform feedback mechanisms. Some inaccuracies may persist despite corrective efforts.

CEO action: Establish a response protocol that prioritizes material factual errors and documents attempted corrections. For errors that touch legal exposure or a developing incident, coordinate with crisis communications and legal counsel.

What Is Our AI Reputation Strategy for the Next 12 Months?

The final question is strategic: companies should determine how AI-generated answers fit into their broader communications, marketing and reputation-management programs. An effective plan should include accurate public information, credible third-party coverage, ongoing measurement and a clear process for responding to significant inaccuracies. Teams building this plan can draw on the practice of generative engine optimization.

CEO action: Establish measurable objectives, responsible owners and a regular review schedule.

How Can CEOs Conduct a Basic AI Reputation Audit?

A basic AI reputation audit takes seven steps and does not necessarily require expensive software, because companies can begin with publicly accessible AI interfaces.

1. Select three AI platforms, for example ChatGPT, Gemini and Claude.
2. Identify 20 relevant questions, including company descriptions, service recommendations, competitor comparisons, reputation questions and purchasing scenarios.
3. Run and record the queries, documenting the platform, model where available, date, prompt and full answer.
4. Compare the results, identifying factual errors, missing services, competitor appearances and recurring descriptions.
5. Examine visible citations and record which sources are cited when the system provides them.
6. Establish a baseline by measuring brand mentions and other defined outcomes consistently.
7. Repeat the assessment, conducting subsequent reviews using comparable prompts and settings.

This process provides a useful initial snapshot. It does not represent every possible AI response or establish the causal factors behind model recommendations. For examples of how structured AI visibility measurement is done at scale, see the Everything-PR research library.

What Are the Warning Signs of an AI Reputation Problem?

Seven warning signs suggest a company may have an AI reputation problem worth investigating.

1. AI systems repeatedly describe your company using outdated information.
2. Competitors appear in relevant recommendations while your company is consistently absent.
3. Important products or services are missing from AI-generated descriptions.
4. AI answers contain material factual inaccuracies about your leadership or operations.
5. Historical controversies are presented without important documented context.
6. Your company's public positioning differs significantly from how AI systems describe it.
7. No executive or department is responsible for assessing AI-generated brand representations.

These are indicators for further investigation, not definitive proof of reputational or financial harm.

Frequently Asked Questions About AI Reputation

What is AI reputation management?

AI reputation management is the process of assessing and improving the accuracy, completeness and credibility of information about an organization in AI-generated answers. It overlaps with traditional public relations, digital reputation management, search optimization and corporate communications.

Can companies control what ChatGPT says about them?

No company can directly control every response generated by ChatGPT or other independent AI systems. Organizations can improve the quality and accessibility of public information, correct inaccuracies where possible and measure how they are represented.

Does traditional public relations influence AI visibility?

Traditional public relations can contribute to the public information environment that AI systems may use. However, earned media coverage does not guarantee that a company will appear in a particular AI answer.

Is AI reputation management the same as SEO?

No. Search engine optimization generally focuses on visibility in search results. AI reputation management examines how AI systems describe, compare and recommend organizations. The two disciplines overlap, but their outputs and measurement approaches differ.

How often should companies audit their AI reputation?

There is no universally established frequency. A monthly or quarterly review can provide a practical starting point, with additional assessments after major announcements, crises or significant business changes.

Can negative AI answers damage a company's reputation?

They may influence users who rely on them, particularly when answers contain credible-looking but inaccurate information. The actual impact depends on factors such as audience behavior, the importance of the decision and whether users verify the information. Companies should not assume that every negative answer produces measurable commercial harm.

Why Does Corporate Reputation Now Extend Beyond Search Results?

Corporate reputation now extends beyond search results because AI assistants give people a new way to be informed about a business. Corporate reputation has always depended on what people believe about a company, and artificial intelligence introduces new ways for those beliefs to be informed, summarized and communicated.

A potential customer may never visit a company's website before asking an AI assistant for recommendations. An investor may use AI to summarize an organization's history. A prospective employee may ask an AI system about corporate culture or leadership.

These interactions create new reasons for companies to ensure that accurate, credible and current information about their organizations is publicly accessible. The objective is not to manipulate AI-generated answers. It is to make sure the company's actual record, expertise and capabilities can be accurately understood.

For CEOs, AI reputation deserves a place alongside media relations, investor communications, customer trust and traditional online reputation management. The first step is simple: ask AI what it knows about your company, then verify whether the answer is correct.

Editorial note: This article is an executive guidance framework, not an empirical ranking or original study. It does not claim that any named AI platform recommends particular companies or that specific reputation-management tactics guarantee inclusion in AI answers.