The floor went up. The foundation still decides.

Last week I sat on the CMO Summit panel at MAICON and moderated three main-stage sessions. I came home with my thinking changed in three ways.

The biggest one: the tools are no longer the difference.

It also sharpened how we work with clients. Before we help a company produce more, we need to know three things:

Everything below comes back to those three.

The floor went up

The structural read is correct: AI is raising the floor faster than it raises the ceiling.

Three years ago, a strategy deck with a market sizing, a competitor scan and a clean recommendation was strong work. Today it is the minimum. Boards, CEOs and peers now expect more context, more data and more synthesis packed into every recommendation — because they know everyone has the tools to produce it.

Hand a leadership team the deck you would have built in 2023 and the room goes quiet for the wrong reason. Everyone has the same models.

The second filter

The structural read is also incomplete. A higher floor for substance came with a higher bar for authenticity, and most teams are only solving for the first.

People are building a negative filter for machine-made content, mostly without noticing. When something reads as AI-produced, the reaction is negative — and it lands on the sender, not the tool.

I recently got an email from someone I know well. It was plainly a Copilot “write me an email” draft with zero edits, and I was genuinely annoyed. The content was fine. The message underneath was not: I didn’t warrant five minutes of personal attention.

That is the filter at work. It sharpens every time the volume of generated content goes up.

Visibility is not reputation

I moderated the main-stage session with Wil Reynolds, founder of Seer Interactive. Wil took aim at the current obsession with AEO and GEO visibility: how often AI answer engines surface your brand.

Teams are celebrating higher visibility without asking what kind. An answer engine can name your brand specifically to steer a buyer away, pulling from your reviews and the overall sentiment about your product.

Wil’s case was to play the long game. Make the foundation and the reputation impeccable, and give up the quick-hit numbers that feel good in a monthly report — even when it costs you in the short term.

Wil’s talk sent me back to every fuzzy metric our industry has chased. Impressions, followers, MQL volume, share of voice. Numbers that move on a dashboard without a clear line to pipeline or revenue. AI visibility is the newest member of that family.

Where this breaks

Then the number doesn’t move.

The CORE read

The trend lands hardest on Execution. AI makes Execution faster, but not free. Tools, integration, training and review all still take real investment. AI can sharpen Clarity, Operating Model and Revenue Architecture too, but it can’t own them. Leadership still owns the judgment, the tradeoffs and the accountability — and those decide whether faster Execution produces anything.

1. ClarityWho you serve and why they choose you. AI can pressure-test the positioning. Leadership has to commit to it, and buyers can tell when no one has.
2. Operating ModelWho owns the human moments. Where AI drafts, where a person decides, and which conversations never get delegated.
3. Revenue ArchitectureWhich metrics connect to pipeline and revenue, and which only connect to a dashboard. AI can model the connections. Someone still has to own the number. Visibility without sentiment is the second kind.

Nothing past Execution works if the first three layers aren’t built. That held before AI. It holds harder now, because every competitor has access to the same Execution tools.

Here is where I landed. The pace is not slowing down. The companies that last through it will win on human judgment, critical thinking and the patience to play the long game when the short term hurts.

Foundation first. Then accelerate.

Selective by design.