Generative AI

AI systems that create new content (text, images, video, audio, code) rather than classify or predict. The technology foundation for ChatGPT,…

Schematic — Generative AI

AI systems that create new content (text, images, video, audio, code) rather than classify or predict. The technology foundation for ChatGPT, Claude, Midjourney, and modern AI creative tools.

Term: Generative AI
Field: Marketing Concepts
Category: Marketing Strategy

What the term covers

Look at it this way.Generative AI is a planning concept your team should define once. A loose definition misaligns budgets and reporting.

AI systems that create new content (text, images, video, audio, code) rather than classify or predict. The technology foundation for ChatGPT, Claude, Midjourney, and modern AI creative tools.

Within Marketing Strategy, Generative AI is a planning concept. Get the definition right and the work that follows gets easier.

The mechanics

Read that twice.Generative AI works one way for a lean team and another for a large one. The mechanics follow the context.

Generative AI is not a switch you flip. It names a moving idea, and the way it plays out shifts with the setup. A lean team running one paid channel applies Generative AI differently than a brand running ten. Use Generative AI loosely and teams pull apart; pin it down and the math lines up.

Keep the order simple: define Generative AI for your context, then decide how to act. Reverse it and the budget chases a number nobody agreed on. Read that twice.

When it matters

Pick one definition.Generative AI earns attention at three moments: setting budget, choosing a metric, comparing options. Away from those, it waits.

Generative AI matters at the point of a decision. In marketing strategy, three moments come up again and again. Outside them, Generative AI is reference material.

Setting budget. Generative AI marks where added spend will work hardest.
Choosing a metric. Generative AI flags whether the number you report is causal.
Comparing options. Generative AI adjusts a compare so the gap is honest.

An example with real numbers

One idea, plainly put.To make Generative AI concrete, the case below uses Notion and figures from public reporting plus RGM analysis.

Consider Notion. Running a wedge-then-expand plan, the team put Generative AI at the center of the call. With a clean baseline and one fixed definition of Generative AI, they read what moved: one use case became five in two years. The discipline is the lesson.

Worked example for Generative AI -- illustrative figures, RGM analysis
Stage	What the team did	The reason
Baseline	Logged where Generative AI stood before the test.	A reference to judge against.
Define	Locked the scope of Generative AI so it stayed stable.	Two people, one meaning.
Act	A wedge-then-expand plan — one variable.	Only one thing moved.
Result	One use case became five in two years	A decision the data earned.

These Generative AI numbers are illustrative -- RGM analysis. The structure travels; the specific figures do not.

Mistakes worth avoiding

Worth a slow read.Four failure modes recur with Generative AI. Name them and they are easy to design around.

One blanket rule. Applying Generative AI the same way everywhere. Split it by audience, channel, and business model.
No anchor. Quoting Generative AI without a starting point. Always pair it with a baseline.
Chasing the word. Optimizing Generative AI for its own sake. Check it tracks a real outcome.
Bad compares. Benchmarking Generative AI with no adjustment. Account for the model differences first.

Questions teams ask

How is Generative AI defined?

AI systems that create new content (text, images, video, audio, code) rather than classify or predict. The technology foundation for ChatGPT, Claude, Midjourney, and modern AI creative tools. Settle what Generative AI covers first; the strategy follows from there.

Why does Generative AI matter?

Generative AI earns its place when it shapes a real decision. The leverage is in correct use, not in the word itself.

How is Generative AI used in practice?

Generative AI supports a real choice: where money goes, what gets measured, which option wins. The Notion case traces it.

Where do teams slip up on Generative AI?

Chasing Generative AI as a goal and benchmarking it raw. Both bury the real trade-off underneath.

What should I read next on Generative AI?

Follow the related terms below, and read up on marketing attribution models, plus audience arbitrage.

How is Generative AI defined?: AI systems that create new content (text, images, video, audio, code) rather than classify or predict. The technology foundation for ChatGPT, Claude, Midjourney, and modern AI creative tools. Settle what Generative AI covers first; the strategy follows from there.
Why does Generative AI matter?: Generative AI earns its place when it shapes a real decision. The leverage is in correct use, not in the word itself.
How is Generative AI used in practice?: Generative AI supports a real choice: where money goes, what gets measured, which option wins. The Notion case traces it.