AI Can Write the Message. It Can’t Decide What Your Brand Should Mean.

Fluent, Fast, and Forgettable

When organizations use AI without a clear point of view, the output tends to drift toward the average. The language is polished and agreeable. It uses the same phrases everyone else uses. It explains, but it does not distinguish.

The risk is not that AI writes badly. The risk is that it writes plausibly about nothing in particular. A brand that publishes more and more plausible content can become less and less memorable, because nothing it says could only have come from it.

There is also a quieter risk. When teams rely on AI to decide what to say, they may stop doing the harder work of deciding what they believe. Over time, the brand’s voice becomes borrowed.

Jessica LaShawn’s Perspective

I am not against AI. I use technology thoughtfully in my own work, and I help clients do the same. But I believe the order of operations matters. Meaning first. Message second. Tools third.

Meaning comes from your values, your experience, your point of view, and your understanding of the people you serve. It answers questions like: What do we stand for? What do we refuse to do? What do we believe our customers deserve? What do we see that others in our field miss?

Once those answers are clear, AI can be a helpful assistant. It can draft, organize, summarize, and suggest. But a human who understands the meaning must guide it, review it, and decide what is true enough to publish.

The brands that use AI well will be the ones that know themselves well. The tool amplifies whatever clarity, or confusion, you bring to it.

What the Familiar Names Teach Us

Patagonia is a useful example of a brand whose meaning is clear enough to guide its choices. Programs like Worn Wear, which encourage repair and resale, flow from what the company says it believes about consumption and the environment. Whatever tools it uses to write, the meaning came first.

Mailchimp’s public content style guide shows another approach: documenting voice and values so that anyone writing for the brand, human or otherwise, has a clear standard to meet. A guide like that is a meaning document as much as a writing document.

Voice Is Not the Same as Vocabulary

A common misunderstanding about AI-assisted writing is that voice is mostly a matter of word choice, so a tool can imitate it closely enough by studying past content. Voice is deeper than vocabulary. It includes what a person chooses to leave out, which questions they return to again and again, what they refuse to oversimplify, and where they get specific instead of staying safely general. Those choices come from conviction, and conviction is exactly what a tool cannot supply.

This is why two brands can use strikingly similar language and still feel entirely different to read. One is saying something it has earned the right to say. The other is saying something that sounded reasonable to generate. Readers may not be able to name the difference, but they sense it, and over time it shapes whether they trust what they are reading or simply skim past it.

A Simple Test Before You Publish

Before publishing anything drafted with the help of a tool, it helps to ask one plain question: could a thoughtful competitor have published this exact paragraph without changing a word? If the answer is yes, the piece has not yet been shaped by your meaning, no matter how well it reads. If the answer is no, because the paragraph carries a belief, an experience, or a commitment that is distinctly yours, it is ready to carry your name.

This test takes very little time, and it catches most of the drift that happens when speed becomes the priority. It will not make every sentence perfect. It will make sure every sentence is actually yours, which matters more in the long run than polish ever will.

Treat Every Draft as a First Conversation, Not a Final Word

It helps to think of AI-assisted drafts the way you would think of notes from a junior colleague: useful, often well organized, but incomplete until someone with authority over the brand's meaning has weighed in. The draft can surface a structure you had not considered or a phrase you would not have chosen yourself, and that is genuinely valuable. What it cannot do is decide, on its own, whether the structure or the phrase actually belongs to you.

Leaders who treat the draft as a conversation rather than a finished product tend to produce stronger, more distinctive content over time, because they are still doing the thinking that matters even as the tool does the typing. Leaders who treat the draft as the final word tend to produce content that reads fine in isolation but starts to blur together across months, because no one along the way stopped to ask whether it still sounded like them.

What the Research Suggests

Google’s guidance on helpful, people-first content does not prohibit AI-assisted writing, but it emphasizes content created for people and demonstrating real experience and expertise. That standard rewards brands with something original to say.

Edelman’s Trust Barometer has explored for years how trust is built through perceived competence and ethics. As more content becomes machine-assisted, being clear about who stands behind your words may matter even more.

What This Means for Your Brand

For your brand, before you ask AI to write anything, write three things yourself: what you believe, who you serve, and what makes your perspective distinct. Keep each to a few honest sentences.

Use that as the foundation for any AI-assisted work. Ask whether every draft reflects those beliefs. If it does not, revise it or discard it, no matter how polished it sounds.

And keep a human in the final decision. The question is not whether the words are good. It is whether they are true to you.

Sources & Further Reading

• Creating helpful, reliable, people-first content — Google Search Central
• Edelman Trust Barometer — Edelman
• Mailchimp Content Style Guide — Mailchimp
• Worn Wear — Patagonia