

Artificial intelligence is no longer a fringe technology in marketing. It’s embedded in search, social media, content creation, analytics, and even the way brands are discovered.
In this edition of Brand3 Conversations, Matt Wolfe sits down with Brand3’s Sarah Pattisall—brand strategist, content strategist, and resident AI enthusiast—to talk about where AI helps, where it hurts, and how brands can use it without losing their voice.
Matt Wolfe:
Sarah, you’ve been especially passionate about AI. What drew you to it?
Sarah Pattisall:
When I first started at Brand3, generative AI was just catching on. One of my first projects was a long, in-depth roofing blog. It took me about 4.5 to 5 hours. I was proud of it—it was well-researched and strong work.
Then I was shown JasperAI — this was before ChatGPT. And I realized it could cut that time in half.
That blew my mind.
At first, I was excited about the efficiency. Then my mind turned to the bigger implications — copyright, policy, what other countries were doing. It went from “This is amazing” to “What are the ramifications?”
That’s when it got really interesting.
Matt:
Every technological leap has liabilities. But what’s the biggest problem AI is solving in brand and marketing?
Sarah:
It helps people bring ideas to life, especially if they don’t yet have the technical skills to execute them on their own.
Someone might have an incredible concept but not know how to build it or prototype it. AI can help bridge that gap.
But — and this is important — you still need experts. If AI generates code, a developer should review it. If it drafts content, someone who understands the brand voice needs to refine it.
It’s great for early-stage thinking, but it doesn’t produce finished results.
Matt:
I often describe brand as a relationship — how a business communicates in a way that builds trust over time. You’ve talked about AI flattening brand voice. How do you prevent that?
Sarah:
Humans have to stay deeply involved — especially people who understand the brand voice and the audience.
Instead of using AI with the mindset of, “Write this for my brand,” it’s better to approach like, “Here’s the idea. Expand on it.” Then you refine it.
Another thing you can do is create an AI-specific brand guide. If your team uses generative AI, give them a document that includes brand voice rules and examples of past creative assets.
Then include that whenever you prompt to better align the output with your brand.
It’s similar to a visual brand guide, except it’s a content guide for your AI assistant.
Matt:
Are consumers getting better at spotting AI content?
Sarah:
I think it depends on how familiar they are with it. If they use generative AI in their own work, they can usually spot unedited output. There are particular phrasings and a kind of vagueness AI defaults to if you don’t edit the output.
And personally? When I can tell a brand used AI and didn’t refine it, it gives me the ick.
If I’m going to trust you enough to give you my money, I want to feel care and creativity behind what you’re selling. If you can’t produce quality content, then what does that say about the quality of your products or services?
Matt:
Even if people can’t define what’s missing, they can sense it.
Sarah:
Exactly. And with video and images, it’s getting harder to tell. Early AI videos were obvious — remember the Will Smith eating pasta clip? But now some AI videos are incredibly convincing unless you’re looking closely.
That’s impressive. And scary.
Matt:
For brands trying to balance efficiency with authenticity, where should they draw the line?
Sarah:
Think about any creative process. There’s always a draft stage — the rough outline, the initial sketch.
AI belongs there.
Use it for brainstorming and drafting. But when you move into editing, refinement, and final execution, that should be human-led.
If you rely on AI for the final results, people will notice.
AI is a tool. It’s an assistant. It’s not the creator.
Matt:
I’ve started using AI as a strategy sounding board. I’ll share a draft strategy and ask for feedback.
Sarah:
That’s a valid use case. But remember that most of the popular AIs, like ChatGPT, are programmed to affirm you. It defaults to encouragement unless you explicitly tell it to critique.
You have to prompt it with something like, “Tell me everything wrong with this.”
And it’s important to remember how large language models work. They don’t actually know anything. They’re predicting what word should come next based on patterns in training data.
They’re sophisticated guessers — not experts.
Matt:
What should brands be thinking about in terms of responsible AI use?
Sarah:
First, environmental impact. AI consumes significant energy and water. It’s worth asking yourself, “Do I actually need AI for this?”
Second, transparency. If AI helps you outline a blog, I don’t think a disclaimer is necessary. But if someone is paying for a product — a book, a paid download — and it’s heavily AI-generated, disclosure becomes more important.
With AI-generated images and video, I believe disclaimers should be standard. Transparency builds trust.
Matt:
What’s the biggest mistake you’re seeing right now?
Sarah:
Treating AI like a magic solution.
Some brands are replacing people unnecessarily. Others are using AI in areas that require real strategic thinking.
AI is excellent for repetitive tasks and processing information. But it’s not creative leadership. It’s not strategic thinking.
It’s a tool in your toolkit — not the whole toolbox.
Matt:
How is AI changing the way brands are discovered?
Sarah:
Google is generating AI overviews in search results, which can reduce website clicks. And there have been reports that AI platforms may roll out ads directly within responses.
That raises questions about objectivity and visibility.
It reminds me of early social media. At first, you owned your audience. Now it’s pay-to-play. I suspect search will continue evolving in that direction.
SEO still matters. Keywords still matter. But we may see new layers of optimization specifically for AI-driven search.
Matt:
How do you balance speaking naturally with optimizing for search?
Sarah:
It’s a tightrope.
The key is a unified strategy. Deep research into your ideal customer informs both brand voice and SEO.
Sometimes I write creatively first and layer in keywords later. Other times, I lead with keywords. It depends on how specific they are.
But everything has to come from the same foundational understanding of your audience.
AI adds another layer, but it doesn’t replace the fundamentals.
Matt:
As AI accelerates content creation, how do brands stand out?
Sarah:
By doing what we’ve always done: deeply understanding our audience and speaking authentically.
The more the internet fills with generic AI-generated noise, the more genuine human communication will stand out.
And strategically, brands need to move audiences from rented platforms — like social media — into owned spaces like email newsletters or private communities. That’s where you control the relationship.
Matt:
What excites you about the future of AI? And what worries you?
Sarah:
What excites me is that creatives could spend less time on repetitive tasks and more time on meaningful work.
What worries me is whether businesses — and really, society as a whole — will continue investing in people. AI has already led to many layoffs.
Will we choose cost savings over creativity?
That’s a much bigger ethical question.
Matt:
So what’s your advice to business owners?
Sarah:
Start by asking your team where repetitive, low-value work slows them down. Let them guide where AI could genuinely help. Don’t impose it top-down without strategy.
Use it where it enhances efficiency. Keep humans where trust, creativity, and judgment matter most.
And above all, remember: The relationship between your brand and your audience is still human.
At Brand3, we help businesses build strong brand foundations—and then apply the right tools and tactics to support that strategy.
If you’re navigating AI and wondering how to use it without losing your voice, let’s talk.
Schedule a conversation with our team and explore what thoughtful marketing looks like in 2026 and beyond.


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