AI Now Shapes Your Reputation: An Eight-Step Audit for CEOs
Google says AI Overviews reach over 2.5 billion monthly users. Reputation Pros lays out an eight-step audit so CEOs can see what AI says about them — and fix it at the source.
By Olivia Hart
4 min read

What's News
- Google reported AI Overviews have more than 2.5 billion monthly active users; AI Mode surpassed 1 billion monthly users.
- The FTC's Consumer Reviews and Testimonials Rule took effect in October 2024.
- The FTC sent warning letters to 10 companies in December 2025 over potential rule violations.
- Reputation Pros recommends an eight-step AI reputation audit repeated quarterly with a seven-column tracking spreadsheet.
Google's AI Overviews now serve more than 2.5 billion monthly active users, and its AI Mode has surpassed 1 billion monthly users — a shift that, according to the search giant's own reporting this year, changes what CEOs must monitor about their own reputations. Customers can ask an AI platform to compare a company with competitors, summarize complaints and research leadership before ever visiting its website. Reputation Pros, an online reputation management firm, now recommends an eight-step audit as a recurring business process — no sophisticated software required, just the right questions and a system for recording findings.
Why does traditional search monitoring fall short?
Google results, news coverage, reviews and social media still matter. But a 2026 reputation audit should also examine what AI platforms say about a business, which sources support those answers and whether inaccurate or outdated information keeps appearing, Reputation Pros argues. The stakes: an AI answer can shape a customer's opinion before the company has any chance to respond.
The recommended starting point is a customer-due-diligence prompt. One example: "I'm considering doing business with [COMPANY NAME]. Research its online reputation as a prospective customer would." The prompt asks the platform to summarize what the company is known for, recurring complaints, controversies and information that could affect a customer's decision. The same prompt should run across several major platforms, looking for patterns rather than tone — repeated complaints, one platform fixating on an old controversy, or a source appearing again and again.
One response does not define a reputation. Differences between platforms show where additional investigation is necessary.
What about category searches and the CEO personally?
Customers do not always start with a brand name. Someone seeking a financial adviser, attorney or home services provider may ask AI for reputable companies in a market first. Reputation Pros suggests testing queries such as "What are reputable [CATEGORY] companies in [MARKET]?" and "Compare [COMPANY] and [COMPETITOR] based on customer feedback, experience, reputation and publicly available information."
This exercise can surface a problem a branded Google search misses: information about a company may look fine while the broader information environment barely associates the company with its target category.
Leadership deserves its own audit. Potential employees, investors, vendors and partners research executives too. Key checks include whether the CEO's current position is correct, whether former positions appear as current, and whether the answer confuses the CEO with someone sharing a similar name. Reputation Pros offers a caveat: do not ignore an error because it flatters the executive. An inaccurate award or inflated title creates credibility problems just as easily as negative misinformation.
How should executives classify what they find?
Reputation Pros uses five classifications: accurate, inaccurate, outdated, incomplete and unverified. The categories force executives to distinguish between information that damages reputation and information they simply dislike. A legitimate negative review demands a different response than a false claim; a six-year-old accurate article differs from a biography listing the wrong employer.
AI can help organize verification, but the firm warns against using one AI system to declare another correct. Use AI to identify what needs checking; use primary and authoritative sources to determine what is true.
Why fix the source, not the answer?
An unfavorable AI answer is often the symptom, not the problem. Behind it may sit an outdated executive biography, an old news article, incorrect directory data or complaints repeated across multiple sites. Asking "How do we change this AI answer?" too early can send a company in the wrong direction, Reputation Pros cautions. The better question: "Why does this information exist?"
Google still belongs in the audit. Executives should search company and executive names plus terms like "reviews," "complaints" and "lawsuit" — and weigh quality over rank. Ten websites repeating one press release do not equal ten independent authoritative sources.
What is the regulatory risk in review generation?
The FTC's Consumer Reviews and Testimonials Rule took effect in October 2024, covering fake reviews and incentives conditioned on sentiment. In December 2025 the FTC sent warning letters to 10 companies over potential violations, noting substantial civil penalties are possible. Reputation Pros' test: if a CEO cannot comfortably explain the review-generation process to a regulator, it needs investigating.
The audit closes with a seven-column spreadsheet — question, platform, key claims, sources, accuracy, risk, action — repeated quarterly. Companies facing an acquisition, leadership change or product launch should run it more often. The realistic goal is not to make every AI answer positive; it is to know what machines are finding before an important customer, employee or partner asks.
Original: blog.google
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Staff writer covering people, launches and day-to-day practice in entrepreneurship, startups and venture funding at Business Bearings.
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