Every CEO needs to know what AI says about them because investors, reporters, candidates and customers now use AI engines to form a first impression. The fix starts with a monthly audit: ask five engines the same five questions, log the answers, and compare accuracy, completeness and sources over time. An answer you have not seen is a first impression you do not control.
By Ronn Torossian. Last updated: November 8, 2026. The survey figure is from a single vendor survey, as noted below, and the click figures are from Pew Research Center. The audit method is my own judgment.
Why do AI answers about a CEO matter?
AI answers matter because many people now start research in an AI engine, and the answer is often the only thing they read. Exploding Topics' April 2026 survey of 1,009 U.S. consumers found that 77.6% had used AI to help with a shopping decision in the previous six months, as reported by TechWyse. It is one self-reported sample from a software vendor, and it measured shopping, not executive research.
Still, the same habit applies to a person's name. A reporter preparing for an interview, an investor screening a founder and a job candidate checking a leader can all ask an engine first. The answer shapes what they expect before they see anything the CEO wrote.
Do readers click past the AI answer?
Most readers do not click past it. Pew Research Center analyzed March 2025 browsing data from 900 U.S. adults and found that users clicked a traditional search result in 8% of visits when a Google AI summary appeared, against 15% of visits without one. Only 1% of visits with a summary led to a click on a link inside the summary.
Pew's data describes Google searches, not every engine and not searches for a person's name. It still shows the pattern that makes an audit worthwhile: when a summary appears, many people read it and stop. If the summary about a CEO is wrong, the corrected page may never be opened.
What five questions should a CEO ask each engine?
A CEO should ask the questions an outsider would ask, using the same wording each month. The table lists five questions and what each one reveals.
| Question | What it reveals |
|---|---|
| Who is [name]? | The basic profile: title, company, background |
| What is [name] known for? | Which achievements the engine repeats |
| Has [name] been involved in any controversies? | Whether old or false stories appear |
| What does [company] do and who leads it? | Whether the company and CEO are linked correctly |
| Who are [name]'s competitors or peers? | How the engine places the executive in a category |
Run them in each of five engines, such as ChatGPT, Claude, Gemini, Perplexity and Google's AI Overviews. Use a clean session each time, and note the date.
How do you run a clean audit session?
A clean session means the engine has no earlier conversation to draw on, so the answer reflects what an outsider would see. Follow the same steps each month, and the logs will compare fairly.
- Open a new session, signed out where the engine allows it.
- Paste the question exactly as written in the table, with the CEO's full name and company.
- Save the full answer and any cited links with the date and the engine name.
- Run the same question a second time, because Muck Rack notes that asking the same question again can return a different set of citations, according to Unite.AI.
- Record differences between the two runs, which show how stable the answer is.
Muck Rack's May 2026 study found that ChatGPT cited sources in 96% of responses and averaged five citations per answer, according to IT Brief New Zealand. The cited pages are the most useful part of the log, because they show which pages to fix.
How should the answers be scored?
The answers should be scored on five simple measures so that a month-to-month change is easy to see. Use a plain scale of correct, partly correct or wrong for each.
- Accuracy: are the title, company, dates and achievements right?
- Completeness: is anything important missing?
- Tone: does the answer describe the CEO fairly?
- Sources: which pages does the engine cite or appear to rely on?
- Peers: is the CEO placed in the right category?
Keep the scores in a simple log. The AI brand monitoring guide and the Citation Share definition describe the method in more detail.
What does a scored audit look like?
A scored audit is a short table with one row per engine and one column per measure. The example below is a hypothetical for a fictional CEO and not a real result.
| Engine | Accuracy | Completeness | Tone | Sources | Peers |
|---|---|---|---|---|---|
| Engine A | Correct | Partly correct | Fair | Trade article, company biography | Correct |
| Engine B | Wrong: former title | Partly correct | Fair | Old directory listing | Partly correct |
| Engine C | Correct | Correct | Fair | Conference page, trade article | Correct |
In this hypothetical, Engine B names a former title and cites an old directory listing. That row points to the page to correct first. The audit has done its job when each wrong cell leads to a named page and an owner.
What should a CEO do with what the audit finds?
A CEO should act on errors in order of risk: false claims first, outdated facts second, gaps third. A false claim about conduct or legal history needs counsel and a source fix. An outdated title needs a profile update. A gap, such as no mention of a major achievement, needs new independent coverage.
Illustrative example: if an engine lists a former company as the CEO's current employer, trace the page it relies on, ask its owner to correct the entry, and update the owned biography page. For false claims, the ChatGPT wrong CEO biography guide sets out a four-step response.
When should a CEO run an extra audit?
A CEO should run an extra audit before any event where people will research them. These moments are editorial judgment, and each is a reason to check what an engine says a few days ahead.
- Before a fundraising conversation, when investors screen the founder.
- Before a major interview, when the reporter prepares.
- Before a public announcement such as an acquisition or a leadership change.
- Before a board meeting or an earnings release.
- After a news story, whether favorable or not, because new pages change the sources.
Who should own the audit?
The head of communications should own the audit, with a named backup, and the CEO should read a one-page summary each quarter. The task is small, about an hour a month, but it fails when no one owns it.
Add a date to the calendar, store the log in one shared place and review changes before board meetings and fundraising. The executive communications guide and the reputation management pillar cover the wider work of building a record that engines can read.
What does the one-page quarterly summary contain?
The summary contains four items: the current scorecard, what changed since last quarter, the pages fixed and the pages still open. It should fit on one page so that the CEO reads it.
Add one line on the next action and its owner. A summary that lists a wrong answer without a named page and a named person gives the CEO a worry and no plan.
Frequently asked questions
How often should a CEO check what AI says about them?
Monthly is a practical rhythm, with an extra check before a fundraise, an interview or a major announcement.
Which AI engines should a CEO check?
Check the engines your audience is most likely to use. ChatGPT, Claude, Gemini, Perplexity and Google's AI Overviews are a reasonable set.
Can a CEO control what AI says?
Not directly. A CEO can improve the sources engines read and correct errors through feedback channels, but answers can still vary.
Should the CEO run the audit personally?
A staff member should run it and the CEO should read the summary. A CEO who runs it personally may spend time on small differences and miss the pattern across engines.
What if an engine says nothing about the CEO?
A blank answer means the engine found little to retrieve. That is a gap to fill with an accurate owned biography and independent coverage, not a problem to correct.
Block one hour this week, run the five questions in five engines and save the results. That log is the baseline everything else is measured against.