How to Strategically Use AI for Brand Positioning
- May 26
- 6 min read
AI is everywhere. Odds are, you’re already using it in some form — to draft emails, summarize reports, or answer a quick question you’d normally have to Google. And that’s great. But there’s a right way and a wrong way to bring AI into your work. AI should help you think and synthesize, not do all the thinking for you.
Nowhere is that distinction more important than brand positioning. Good positioning has to be compelling and motivating for the specific consumers you’re trying to reach. That requires strategic thinking and real consumer understanding — two things AI can get wrong. But used the right way as a tool, AI for brand positioning exercises can make your process faster, sharper, and more thorough. Here are a few tools to help you develop a good brand positioning.
Not sure what goes into a good brand positioning? Before diving in, check out Stop Guessing: Use This Easy Brand Positioning Framework. It covers the building blocks we’ll be working through here. If you need a deeper explanation of each, use that as a reference.
Using AI for Brand Positioning Starts with Benefits and Reasons to Believe
Every positioning statement must have a benefit which is what your product does for the consumer. But you can’t get to the right benefit without first naming what’s in your product — the attributes. Think of attributes as the facts: ingredients, certifications, format, specific specs. They’re the raw material. Benefits are what the product does for your target consumer.
Start by listing out every fact and feature of your product. Don’t edit yourself — just get it all down. Then brainstorm how each one translates into something meaningful for the consumer. Thirty grams of protein may give someone more energy. An easy-open resealable package means less mess and more convenience on the go. Keep going until you’ve worked through the whole list.
Now bring in AI. Feed your full list of attributes and the benefits you’ve already brainstormed into your AI tool and ask it to build on what you have. This is where AI earns its keep — it’s fast, thorough, and often surfaces angles you hadn’t considered. Make sure to upload relevant documents on your target consumer – who they are and insights about them that you’ve hopefully gathered before you start your positioning exercise. Once you’ve done that here’s a simple prompt to get you started:
“You are an expert brand marketing strategist with deep experience in brand positioning and consumer insights. This is a [your product] with the following product attributes: [list your attributes, e.g., 30g protein, made with whole ingredients, no artificial sweeteners, resealable packaging]. Based on these attributes, brainstorm a comprehensive list of functional and emotional consumer benefits. For each benefit, explain why my consumer would care about it and what problem it solves for them.”
Once you have a solid benefit list — yours plus what AI added — take one more step. Ask AI to pair each benefit with its reason to believe (RTB). The structure is simple: benefit because reason to believe. Using the protein example: it gives you sustained energy because it has 30 grams of protein. That pairing is what makes a benefit credible.
Using AI to Find Your Competitive Context
Even a great benefit with a strong RTB can fall flat if you haven’t thought clearly about the competitive context you’re operating in. That’s where frame of reference comes in.
Your frame of reference is the category or space your brand competes in which may not be the most obvious one. A nutrition bar might live in the protein bar space, the healthy snack space, or sports nutrition. The answer ultimately depends on where your most leverageable point of difference (POD) lies. That means the benefit that's most motivating to your target consumer and most differentiated within that competitive context. For now we’ll focus just on brainstorming different frame of reference options. We’ll get to the most leverageable point of difference in a later section.
Start with 5–10 minutes of your own brainstorming. What categories could you plausibly compete in? Then bring in AI and ask it to build on your list. Here’s a prompt:
“You are an expert brand marketing strategist who specializes in brand positioning and competitive analysis. This is a [your product] and I need help identifying the best frame of reference — the category or competitive space my brand should compete in. Here are the frames of reference I’ve brainstormed so far: [list your ideas, e.g., protein bars, meal replacement bars, healthy snacks, energy bars, sports nutrition]. Please build on this list with additional options I may not have considered, and briefly explain how each one would shape how my consumers perceive and compare my brand.”
AI will likely come up with options you hadn’t thought of. That’s valuable. But keep this in mind: AI generally pulls from majority thinking. It doesn’t know how your target consumer specifically interacts with your category — how they shop, what they compare, what language they use. Consumers can give you a completely different angle that no algorithm would surface. Which brings us to the most important point in this whole process.
Why AI for Brand Positioning Can’t Replace Your Consumer
AI is trained on broad, general data. It can reflect what the majority thinks but it cannot tell you what your specific consumer thinks. And brand positioning lives or dies in the specifics.
Real consumer insights — gathered through actual research with your target audience — give AI something meaningful to work with. Without them, AI is just guessing. And guessing is exactly what good positioning is supposed to eliminate.
Think about it this way: you could ask AI what mothers of young children want in a snack bar. It will give you a reasonable answer based on general data. But it won’t know that your specific target consumer is a working mom who eats in the car between drop-off and her first meeting, cares deeply about clean ingredients because her youngest has food sensitivities, and is loyal to only a few brands that she feels reflects her values. That kind of specificity only comes from real people.
For a deeper dive on how to understand and define your consumer, check out Best Practices for Defining Consumer Targets: Beyond Demographics. The takeaway for right now: before you ask AI to help you, make sure you’re feeding it your brand’s real consumer knowledge — not assumptions.
Finding the Best Point of Difference with AI
Now that you’ve built out your benefits, RTBs, and frame of reference options — and you have your consumer’s insights in hand — it’s time to pull it all together and identify where your strongest point of difference is. Because you may be exploring different frame of reference and benefit combinations, expect some back and forth before you land on the best one.
Feed everything into AI: your consumer target definition, your consumer insights, your benefits and RTBs and your frame of reference options. Then ask it to identify the most leverageable positioning options. Having a well-defined consumer target matters enormously here — see the consumer insights section above. Feed those in-depth consumer insights into AI alongside your benefits and RTB, and AI can do some genuinely useful synthesis work.
What you’ll get back is a set of options. Your job is to evaluate them against what you know — both from your consumer research and your experience with the brand. AI narrows the field, but you make the call.
Putting It All Together: Brand Positioning Statements
Once you’ve landed on a strong frame of reference and a leverageable point of difference, it’s time to write the positioning statement. This is where AI really shines.
Feed it all the components — your consumer target, your benefit and RTB, your frame of reference, your POD — and ask it to draft a formal positioning statement in this format:
Category [frame of reference]: To [consumer target], brand [x] is the brand that [benefit] because [believability].
Review it, refine it, push back on anything that feels off and iterate as often as you need. You want multiple versions that you can evaluate.
Once you’ve settled on a formal statement, take one more step: ask AI to distill it into a short version. Not a tagline exactly — more like a clear, memorable phrase that captures the essence of your positioning. Something everyone in your company can understand and easily recite. You want this embedded in your organization. When the sales team, the product team, and the marketing team all have the same sentence in their heads, a lot of confusion disappears. That phrase might just be the benefit and nothing else. Here are a few examples:
powers your workout
fuel without the junk
protein you can trust
snack smarter, not harder
Summary: The Right Way to Use AI for Brand Positioning
AI is a genuinely useful tool in the brand positioning process. It brainstorms faster than any team, surfaces angles you might miss, and can synthesize a solid positioning statement in seconds. Use it for all of that.
But don’t use it to replace the two things it doesn’t do well: strategic thinking grounded in your brand and business and real consumer understanding. Those have to come from you and your consumers.
The positioning that wins isn’t the one that AI generated. It’s the one that’s grounded in who your consumer is, what they care about, and what your brand can deliver. AI helps you get there faster. The thinking is still yours.
