Why Content Success Now Depends On Taste

Summary

Learn why taste and judgment matter more than ever in AI-driven content creation. Discover how clearer thinking, stronger insights, and better editorial decisions make your content more useful and more likely to be used in AI answers.

By Brittany Lieu, Marketing Consultant at Heinz Marketing

In a recent LinkedIn post, Ethan Smith asked whether AI is replacing human taste. 

I don’t think we are there. But I do think something important is shifting.

AI is getting very good at execution. Writing, structuring, summarizing, iterating. All of that is getting cheaper and faster. Which means the constraint is no longer production.

You can create as much content as you want now. That part is solved.

So the question changes.

If everyone can create content, what actually makes anything stand out?

The Constraint Has Moved to Judgment

It is easy to miss this shift because the output looks better than before. Content is cleaner, faster, more polished. But most of it starts to feel the same pretty quickly.

That is where taste comes in.

Taste is just judgment. What is worth saying, what is not, and how far to push an idea. It shows up in decisions like what angle you take, what you leave out, and whether something actually adds anything new or just repeats what is already out there.

Most content does not fail because it is wrong. It fails because it does not add anything. It is fine, but forgettable.

And when AI is involved, that tendency gets amplified. If the input is average thinking, you get average content at scale. That is the real version of garbage in, garbage out.

Why Taste Is Still the Hard Part

Taste is often misunderstood as preference or style. It is closer to compression.

Good taste removes noise. It tightens thinking. It simplifies without flattening meaning. It comes from experience, but more specifically from exposure to enough variation to recognize patterns:

• What actually lands with real buyers
• What sounds good but changes nothing
• What creates clarity versus what creates more words
• What feels original versus what just restates existing thinking

AI can generate variation. It cannot reliably determine which variation matters in context. It can produce ten valid versions of something. It still takes judgment to know which one is worth keeping, or whether none of them are.

As output increases, this gap becomes more visible. The more options you have, the more important selection becomes.

Preserving Taste at Scale Is the Real Work

If execution is now cheap, then the job is no longer about producing more. It is about protecting judgment while production scales.

Preserving taste requires putting structure back into decision-making. Not more process for its own sake, but clearer ownership of judgment.

Here is what that looks like in practice.

1. Lock the angle before anything is generated

Most teams skip this step and go straight into prompts or briefs that are too open-ended.

In a B2B context, this usually looks like: “Write a blog about AI in marketing” or “Create content on pipeline generation.”

That structure guarantees average output.

Instead, define the point of view first in one sentence. For example:

• “Most AI content fails because it removes judgment from GTM teams”
• “Pipeline problems are usually positioning problems, not demand problems”

Only after that gets locked should AI be used to expand it.

This forces taste into the first decision, not the last edit.

2. Treat AI as a draft engine, not a strategy layer

In many teams, AI is quietly moving upstream into strategy decisions like messaging, positioning, and content themes.

That is where taste erosion starts.

The better operating model is simple:

• Humans define the angle, narrative, and priority
• AI expands, structures, and accelerates execution
• Humans edit for clarity, restraint, and signal

If AI is deciding what to say, you will always trend toward generic outputs because it defaults to the most statistically common framing of a topic.

3. Build a “no publish” filter in your content workflow

This is one of the most practical ways to preserve taste in B2B teams.

Before anything gets published, it should fail at least one of these checks:

• Does this say something meaningfully different from what already exists in our space?
• Would a buyer actually change how they think after reading this?
• Does this reflect a real insight from sales calls, customer conversations, or product usage?

If the answer is no across all three, it does not get published, even if it is well written.

Most content systems only ask “is this good enough?”

Taste requires asking “does this deserve to exist?”

4. Turn internal expertise into reusable “thinking inputs”

Most teams try to scale content by systematizing outputs. Templates, workflows, prompts.

The higher-leverage move is capturing inputs.

That means documenting how your best people think:

• How sales reps actually explain the product in live deals
• How PMM frames positioning in competitive situations
• How leadership evaluates which narratives to push

These are not marketing assets yet, but they are the raw material that protects taste when scaled through AI.

Without this layer, AI just amplifies whatever is already in the system, including the weak thinking.

The Real Shift

AI is not just changing how content gets created. It is changing the conditions under which content matters at all. When production is no longer scarce, output stops being the differentiator. What matters instead is what gets produced in the first place, and whether it was worth producing at all.

That is a judgment problem.

A taste problem.

Curious about how we help B2B brands create effective content? Connect with one of our experts today.