Your CEO Is Going to Ask If You Show Up in ChatGPT. Here's How to Make Sure the Pause Isn't Awkward.
By
Izzy Gregorio
·
5 minute read
Marketing Leadership · AI Visibility
Your CEO Is Going to Ask Whether You Show Up in ChatGPT
It is a fair question and most marketing teams cannot answer it, through no fault of their own. Here is why it is suddenly being asked, what a strong answer sounds like, and how to have one ready before the meeting.
By Izzy Gregorio · Updated August 2026 · 6 min read
In short
Executives use these tools personally, so the question follows naturally. A strong answer is not a good score. It is a measured one with a comparison and a plan attached: here is where we stand, here is how that compares to our two closest competitors, and here is what we are doing about the gap. That answer takes one test to prepare and works whether the number is flattering or not.
Why now
This question is not random executive curiosity
It arrives by a very specific route, and understanding that route tells you how to prepare for it.
Your CEO uses these tools personally. For travel, for reading, for drafting something on a Sunday evening. At some point the thought lands on its own: if I research things this way, are our customers researching us this way, and do we come up? That thought becomes a question at the next leadership meeting.
And the behavioral data supports the instinct. Roughly half of US consumers surveyed by McKinsey now intentionally use AI-powered search, and among those users, 44 percent describe it as their primary and preferred source of insight, ahead of traditional search at 31 percent. Similarweb's 2026 index found 35 percent of US consumers using AI tools at product discovery, against 13.6 percent using search engines at the same stage.
McKinsey AI Discovery Survey, August 2025, n=1,927. Similarweb 2026 Generative AI Brand Visibility Index, March 2026.
Worth reading that 44 percent carefully, because it circulates in a doubled form. It is 44 percent of people who use AI search, not of everybody. Across the whole population it is closer to one in five. Still a great deal of buying research happening somewhere your reports do not look, and your CEO will not be asking about the methodology.
The real cost
The cost is not the data gap. It is what the pause signals.
If the question lands and you do not have an answer, the problem in that moment is not really the missing number. It is the three seconds before you speak.
A pause before answering reads, fairly or not, as I have not been paying attention to something that might matter. That is an unfair characterization of the situation, since this is new territory for nearly everyone and no standard reporting framework included it until recently. But in the room, in the moment, it does not always land that way.
Nobody is genuinely afraid of a poor AI visibility score. They are afraid of the silence before answering.
Which is good news, because a silence is a far easier problem to solve than a strategy is. It takes one test that most teams simply have not run yet.
The answer
What a strong answer actually sounds like
The people who handle this well are not the ones with a great score. They are the ones who can answer immediately, in three parts, whether the number is flattering or not.
The three-part answer
Where we stand. We tested this across ChatGPT, Perplexity, and Gemini using the questions our buyers actually ask. We appear on some phrasings and not others.
How that compares. We ran the identical prompts against our two closest competitors. One of them appears more consistently than we do, and we know why.
What we are doing. The gap is entity consistency rather than content. That is a defined fix with an owner and a date, and we will re-run the same test next quarter to confirm movement.
That is the deliverable. Not a perfect score. A measured one, with a plan attached. An executive hearing that does not think about the score. They think that this person is on top of it.
Then be ready for the three follow-ups, because a CEO who asked the first question will ask these.
How long until it improves? Structural fixes can register within weeks. External corroboration builds over months. Nobody publishes their update schedule, so we measure quarterly rather than promise dates.
What does it cost? The first stage is mostly consistency work we can do ourselves. The expensive part is external presence, and that is a longer conversation.
Why did our agency not raise this? Fairly, because the reporting frameworks have not caught up. It is worth asking them what they are measuring now.
What it takes
Four things, and you have the answer
- 1
Test across several platforms using the actual questions your buyers would ask, not the keywords you would prefer to rank for. Multiple phrasings, because results shift with wording.
- 2
Document how often you appear, in what context, and how favorably you are described. Appearing and appearing well are different results.
- 3
Run the identical test on two or three competitors. This is the part that turns a number into a conversation, because a score with no comparison means nothing to an executive.
- 4
Identify the structural reason behind the result, so there is a next step attached to the number. A score without a cause is trivia.
Keep going
Answers before the questions arrive.
What is changing in AI visibility, what leadership will ask about it next, and what a defensible answer looks like. Sourced and dated, written for people who have to present it.
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If they ask why
The one-sentence explanation of the gap
Google ranks pages. AI recommends entities.
Google evaluates your website directly: technical performance, content, links, structure. AI engines evaluate how your brand is represented across the wider internet, weighing third-party mentions, citations, and how consistently sources outside your company describe what you do.
You can be excellent at the first and never have measured the second. Most businesses are exactly there, not through failure but because the second measurement was not standard practice until recently.
The evidence for treating them separately is measurable. The overlap between brands in Google's top ten and brands cited in AI answers has fallen to somewhere between 17 and 38 percent depending on methodology, down from roughly three quarters a year earlier. Strong search performance increasingly tells you very little about the other conversation.
Multiple studies, early 2026. Range varies by data source. Note that Google's own AI answers still overlap substantially with its rankings; the sharp divergence is on platforms Google does not operate.
The move
Get the number before the question, not after
There is a real difference between two versions of the same meeting.
Walking in hoping the topic does not come up.
Walking in and raising it yourself. Here is our score, here is how we compare, here is the plan.
The second version is not just more comfortable. It changes who is setting the agenda in the room, and it converts a topic you were exposed on into one you brought forward first. That is worth considerably more than whatever the score turns out to be.
Common questions
Answering the question, answered
How do I answer if my CEO asks whether we show up in ChatGPT?
In three parts. Where you stand, based on testing across several platforms with the questions buyers actually ask. How that compares to your two closest competitors on identical prompts. And what you are doing about the gap, with an owner and a date. The score itself matters far less than having all three parts ready.
Why has nobody been measuring AI visibility until now?
Because the reporting frameworks have not caught up. Search Console does not report whether ChatGPT recommended you, and most search platforms have no field for it. The metrics teams report on were built for a system that is now part of the picture rather than all of it. The absence is a timing issue, not negligence.
Does a good Google ranking mean we are visible in AI answers?
Increasingly not. Google evaluates your website directly. AI engines evaluate how your brand is described across the wider internet. As of early 2026, the overlap between top Google rankings and AI-cited brands sat between 17 and 38 percent depending on methodology, down from roughly three quarters a year earlier. The divergence is sharpest on platforms Google does not operate.
What if the score comes back badly?
Most first results are middling rather than catastrophic: present on some phrasings, absent on others, with identifiable structural reasons. That is a clarity problem rather than an absence, and clarity problems are comparatively cheap to fix. A measured result with a plan attached presents far better than no result at all, regardless of the number.
How often should we re-measure?
Quarterly, using the same prompts each time. These systems change frequently, so any single test is a snapshot of one period. Re-running identical prompts is also the only way to demonstrate that the work produced movement, which is the number leadership will want at the following review.
Start here
Be the person with the answer, not the pause
The AI visibility audit tests your brand across ChatGPT, Perplexity, and Gemini using queries built around your specific category and market, benchmarks you against your closest competitors, and returns a plain-English report with a prioritized list of next steps. No sales call required to receive the results.
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