Before a board seat is offered, before a term sheet is signed, before a reporter picks up the phone, someone types a name into a search box. Increasingly, that search box isn’t Google at all — it’s ChatGPT, Perplexity, or the AI Overview sitting above the blue links. And the answer that comes back is assembled from whatever the model can find and trust about you.
That’s the shift that makes executive reputation different now. It used to be enough to have a clean first page. Today an AI assistant will read that first page, plus a Reddit thread, plus an eight-year-old panel bio, and produce a one-paragraph summary of who you are. Most executives have never read that paragraph. They should.
Why executive reputation now outranks corporate reputation
People don’t trust companies. They trust people who run companies. That asymmetry has been true for a while, but AI search amplified it, because language models are built to summarize entities — named people, organizations, products — and a named human with a consistent public record is a much easier entity to summarize than a faceless brand.
Over a decade in reputation and search has convinced me that the executive is the most leveraged surface a company has. If the CEO is well-represented, the company inherits credibility. If the CEO is a blank space, or worse, a blank space with one unflattering result in it, the company inherits that instead.
A few practical consequences:
- Due diligence is automated first. Analysts, recruiters and journalists start with an AI query because it’s faster. What the model says becomes the working hypothesis they then verify.
- Ambiguity gets filled in. If you share a name with someone else, or your public record is thin, models will stitch together whatever is available. Thin records invite bad guesses.
- Old content has long legs. A 2016 conference bio with an outdated title can outrank your current company page simply because it’s on a domain that gets crawled and cited more often.
This is why online reputation management is not the same thing as PR. PR creates moments. ORM creates a durable, verifiable record that survives after the moment passes.
How an AI assistant actually builds your bio
It helps to understand the mechanism, because it explains why certain tactics work and others waste money.
When someone asks an AI assistant about an executive, the system typically retrieves a handful of sources, reads them, and synthesizes an answer with citations — links back to the pages it leaned on. Those retrieved sources are chosen for a mix of relevance, authority, freshness and, critically, how easy the content is to extract a clear claim from. This is the core insight behind Generative Engine Optimization (GEO): the work of making your information the information a model reaches for.
Here’s a concrete example of how this plays out. Two executives in the same industry, both legitimately accomplished. Executive A has a personal site with a dense, beautifully designed hero image and three sentences of vague copy about “driving transformation.” Executive B has a plain page with a dated, structured bio: current role, prior roles, what they specialize in, where they’ve been quoted, a short FAQ answering the questions people actually ask.
Ask a model who these two people are and Executive B wins almost every time. Not because B has better design or more traffic, but because B’s page contains extractable facts in plain language. A model cannot cite “driving transformation.” It can cite a clearly stated role at a clearly named organization.
That’s the durable lesson: in AI search, citations beat rankings. Being the source an answer is built from is worth more than being the tenth blue link on a page nobody scrolls.
What leaders should actually own
Executives ask me what to control and what to let go. The honest answer is that you own less than you think and influence more than you think. Here’s the split I use.
Own outright
- A personal domain. Your name, or close to it. This is the single most underrated asset in executive reputation. It’s the one page you fully control, and it’s the anchor every other profile can point to. I’ve written a longer breakdown of how to build an owned search presence that holds page one.
- A canonical bio. One version, maintained, with your current title and organization spelled out. Push it everywhere — conference pages, podcast show notes, contributor profiles. Consistency across sources is what turns scattered mentions into a coherent entity a model can recognize.
- Your professional profiles. LinkedIn, Crunchbase, any industry directory that ranks for your name. Keep titles identical to your canonical bio. Mismatches create ambiguity, and ambiguity gets resolved badly.
- Your point of view, in writing. Not press releases — actual explanations of how you think about your field. This is what gets quoted, referenced and cited.
Influence, but don’t control
- Earned media. You pitch, you show up prepared, you say something worth printing. You don’t dictate the coverage, and you shouldn’t try to.
- Community mentions. Reddit, industry forums, Slack and Discord communities. These get retrieved surprisingly often by AI systems because they read like real human consensus. You can participate honestly; you cannot astroturf them without it eventually surfacing. If your sector lives on Reddit, it’s worth understanding how Reddit authority feeds AI search results.
- Third-party commentary. Reviews, analyst notes, employee sentiment. You influence these by running a decent organization, which is the unglamorous truth of the whole field.
Don’t chase
- Every mention of your name. Some results don’t matter and drawing attention to them makes them matter.
- Volume for its own sake. Forty thin guest posts on low-quality sites will not make you credible. They’ll make you look like someone who bought forty guest posts.
- Suppression as a first move. Burying something is the weakest tool available and it only works when there’s real content to bury it with. When there’s a genuinely damaging result, there’s a right sequence for handling a negative search result, and panic-publishing isn’t it.
A practical starting sequence
In my work with clients — startups, law firms and public figures — the first ninety days of executive reputation work usually looks like this:
- Audit what exists. Search your name in Google, ChatGPT, Perplexity and Google AI Overviews. Screenshot the answers. Note what’s wrong, what’s missing, and what’s cited.
- Fix the canonical record. Update the bio everywhere it appears. Make the personal site exist and make it clear. Structure matters: headings that match real questions, short paragraphs, explicit facts.
- Identify the two or three sources that actually get cited in AI answers about your industry, and work toward legitimate presence there. Earned, not purchased.
- Publish a point of view on a cadence you can sustain. Monthly beats sporadic. Systems and automation scale quality here — templates, a standing outline, a review step — but a human still has to have the actual opinion.
- Re-check the AI answers quarterly. Models update. Your record should be updating faster.
The principle that outlasts the tactics
Everything above is downstream of one idea: reputation is earned, not bought. The tooling changes — AI Overviews didn’t exist a few years ago, and something else will exist a few years from now — but the mechanism underneath doesn’t. Systems that summarize you are trying to find the most reliable account of who you are. Your job is to make sure the most reliable account is also the most accurate one, and that it’s easy to find, easy to parse, and consistent wherever it appears.
I’m Cory Maki. I work on AI search strategy and AI reputation as Head of Fulfillment at Reputation Pros, and most of the Cory Maki reputation management approach comes down to that one discipline: build a public record you’d be comfortable having a stranger — or a language model — read back to you. Do that consistently and the search results tend to take care of themselves.
The executives who handle this well aren’t the loudest ones. They’re the ones whose record is clear enough that nobody has to guess.