What AI systems say about you as a CEO: generative engine optimisation for executives

What is generative engine optimisation for executives?

Generative engine optimisation, or GEO, is the practice of making your expertise readable for generative AI systems such as ChatGPT, Claude and Perplexity. The aim: when someone asks these systems about you or your field, your name comes up and your work gets cited.

For executives, GEO follows search engine optimisation. It rewards one thing above everything else: consistent, machine-readable material that connects your name with your subjects.

The person asking is rarely doing research for its own sake. An investor before a first meeting, a candidate before an interview, a buyer before a shortlist call. They ask because it is faster than reading ten sources, and because the answer comes back in the shape a decision needs: short, ordered and confident.

Why does it matter what ChatGPT says about a CEO?

Because the answer has replaced the list of links for a growing number of people who look you up.

A search engine shows a list. The reader sees each source, its date and its context, and weighs them. An AI system reads the same sources, weighs them itself and writes one paragraph. The reader sees the paragraph and nothing behind it.

I noticed this on my own name. Several speaker profiles online still described me through a job I left in 2019, and some of them ranked above my own pages. For years I treated that as cosmetic. In a list of links, anyone can see that a page is old. Once those pages became raw material for an AI answer, the old role could end up in the one paragraph a stranger reads about me.

How do AI systems build an answer about a person?

The answer is assembled. The system reads what exists about you in a form it can parse, on pages it can reach, and compresses it into a summary.

Two consequences follow from that:

• Text travels furthest: a video or an audio episode enters the answer only through a transcript the system can reach.
• Other people's pages count for more: your own website states your position. When a conference agenda, an industry article, a university page or an association lists you, someone else confirms it.

Any careful researcher weighs material the same way. A claim is something you say about yourself. A report is something others wrote about you. A verified fact is something several independent sources agree on. AI systems tend to treat third-party confirmation as stronger evidence than self-description. That is why a single article about you can shift an answer more than a new page on your own site.

Which sources shape an executive's AI profile most?

The sources that carry your name next to your subject, written by someone else, in text that stays online.

• Your LinkedIn profile: the headline and About section are often the first text about you that a system finds. A headline that names role, company and field gives it a clear anchor. My guide on the executive LinkedIn profile covers how each section works.
• Event and speaker pages: conference agendas, speaker bios and session descriptions. They are written by the organiser and often stay online for years, outdated or not.
• Press and trade coverage: interviews, quotes and features in publications your field reads.
• Transcripts and show notes: podcast episodes, panels and keynotes become sources once someone publishes the text.
• Your own publications: articles, a newsletter archive, studies and reports on pages that carry your name.

This is also why outdated bios matter more than they used to. A speaker page with your role from five years ago now counts as evidence the system may use.

Why does consistent wording matter for GEO?

When an AI system pulls an answer together from many places, it repeats the words those places have in common.

Suppose your position is described one way in your headline, another way on stage and a third way in your posts. The system averages the three into something generic. The answer gets the stations of your career right and says nothing about what you stand for.

Described the same way everywhere, the position survives the compression. What works is repetition: the same phrase, on enough pages, until it is the most compact description of you that exists. Visibility alone does not produce that. A CEO who appears everywhere with a different description each time gives the system more material and a weaker signal.

The same logic applies to people. Your CEO reputation is the short description others use to explain you. An AI answer is that description, written by a machine from what people published.

Which activities produce material AI systems can read?

Everything these systems reward comes out of work that is worth doing anyway:

1. A clear position: one topic and one problem the market connects with you, described identically for years.
2. Activities that end up in writing: keynotes, panels, podcast appearances, dinners or workshops that someone writes about.
3. Content under your name on a rhythm: posts, articles and a newsletter that build an archive.
4. A profile that says what you do: headline and About section that a stranger and a machine can both understand.

What GEO adds is a reason to finish things. A panel becomes an asset once the transcript is published. A podcast episode becomes one once a transcript is available alongside the audio. A study becomes one when it sits on a page with your name on it, outside a download form.

Many executives do the activity and skip the last step. The appearance happened, people in the room remember it, and nothing machine-readable is left behind.

How can a CEO check what AI systems say about them?

Two questions show where you stand.

The first is the obvious one: ask ChatGPT, Claude or Perplexity, with web search switched on, who you are and what you are known for. Read the answer like a stranger would. Which role does it name first? Which sources does it cite? Which of them are outdated, and which describe a version of you that no longer exists?

The second question matters more. Ask the question a customer, investor or candidate would actually type, without your name in it: "Who should I talk to about this problem?" or "Who has a clear position on this topic?" The first query shows what exists about you. The second shows whether any of that material is linked to a question the market actually asks.

Many executives get a decent answer to the first question and do not appear at all in the second. That gap is the work.

What can a CEO change, and what not?

Nobody can edit an AI answer directly, but you can influence the material it draws on.

• Correct the old sources: ask organisers to update outdated speaker bios and profiles that still rank.
• Use one description: the same words for your position in the headline, the About section, the bio you send organisers and the way you introduce yourself on stage.
• Publish the text: transcripts, show notes and written summaries for what you already do.
• Earn third-party pages: appearances and coverage that put your name next to your subject on someone else's site.

None of this works in a week. The systems update as the web around you changes, and the web changes slowly. Executives who treat GEO as a campaign tend to stop before it shows. The ones who treat it as a side effect of a clear position and consistent work tend to see the answer move over a year or two.