Defining Your Brand for AI

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When someone asks an AI assistant about your business, what does it say? Is the answer accurate? If you want AI platforms to recommend your products or services, you have to ensure they actually understand what you do. Before you can close the gap between your current AI footprint and your ideal one, you need to define the parameters:

  • Brand attributes: how you want your brand to be viewed
  • AI associations: how your brand, services, products, etc., are being represented by AI

Figure Out Your Brand Attributes

You can’t measure the gap between your current AI footprint and your ideal one until you define your target brand attributes. The first step is to actively work through exactly what your brand is and how you want AI to perceive it.

To figure out those attributes, you need to answer these core questions:

  • What is the purpose of your service or product?
  • What needs does your audience have and how do you solve them?
  • Why should your audience choose you?
  • Why do you win?

Finally, you need to answer the most complex question: Who is your audience, and who are they not?

Defining your audience requires the most digging. It breaks down into five specific areas, and the answers look different depending on whether you are a B2B or consumer brand:

  • Industry and vertical: Who do you serve? Each group has its own language and priorities. “Commercial office cleaning” and “residential maid services” are totally different buying intents, even if the underlying service is similar. For consumer products, this looks more like lifestyle segments: “corporate menswear” versus “cufflink gifts for groomsmen.”
  • Pain points: What specific problems make people start looking for your business? If you sell to other businesses, these show up in sales calls and emails (“our current vendor is always late”). If you sell to consumers, they show up in online reviews and social media (“every other plumber I called didn’t show up,” or “this brand of boots gave me blisters”).
    • You’ll discover pain points about your brand, but some pain points can be purposeful. Luxury items are higher priced for a reason and are positioned in the market to reflect that. If your service or product pain point is that the price is high, your gap might not be to lower the price, it is more likely that you need to advertise your value and position yourself better to sell that price.
  • Use cases: What do people actually do with your product or service? It often differs from what you advertise most. You might market your athletic wear for high-intensity gym workouts, but realize most of your customers are buying it as comfortable work-from-home attire. A heavy-duty plastic storage bin might be marketed to mechanics, but bought mostly by teachers organizing their classrooms.
  • Compatibility and Requirements: What does your product or service need to work with? For everyday business tools, it’s things like “syncs with QuickBooks.” For physical products, it’s practical requirements like “safe for septic systems,” “fits in a standard truck bed,” or “machine washable.” These details carry real purchase intent and are frequently the deciding factor for buyers.
    • Example: If you’re a local sports bar, this could also include information like the number of TVs, gameday specials, whether you have a patio, and whether that patio is dog-friendly. With new tools like Ask Maps, people are asking AI questions like, “Where can I watch the Chiefs game on Sunday and eat lunch with my dog?” It’s most likely going to pull from Google Business Profiles, reviews, Yelp, 3rd-party websites, and maybe your own website to get answers.
  • Audience persona: Who is actually making the buying decision, and how do they talk? The language that resonates with a busy restaurant owner looking for a reliable vendor is completely different from what resonates with a budget-conscious college student looking for cheap takeout. AI picks up on those specific phrases and tones.

Ground Attributes in Real Data

Define attributes using the exact language your audience types into an AI assistant. You can get that information from these sources:

  • Sales calls, chat transcripts, and support tickets
  • Reviews, forum discussions, and Reddit threads
  • Search queries and actual user prompts
  • AI associations of competitors compared to your own brand

Prioritize the Attributes

Rank each attribute from Priority 1 to Priority 3. Priority 1 ties directly to how buyers choose and what generates revenue. Priority 3 is important but has less of an impact. Here’s what you need to consider:

  • Revenue: Does this impact my bottom line? If there’s incorrect information about your core services, your brand, or your pricing, fix that. If a business listing says you have 50 employees instead of 60, does that really matter?
  • Intent: Focus gaps where the intent lies near the bottom of the funnel, where buying decisions are happening. If you’re having to update content throughout your site, start with pages that impact conversions first. 
  • Winnability: If you’re weighing to prioritize one service line versus another, look at the competitive landscape for each. One might be easier to get a foothold in than the other. For one, the AI responses may be consistently owned by a brand with a much larger, global footprint than you that would take years of non-GEO work to beat out.
    • Example: I did an AI visibility audit for a DMO based out of Florida. Most prompts related to “top vacation destinations in Florida” would surface Disney World, Universal, Key West, Miami Beach. Household names that live in the zeitgeist always. To compete, we wouldn’t be talking GEO, we would be talking about a global, billion-dollar, decades-long omnichannel campaign to change how people think about vacations. 
  • Gap size: This is how far current AI associations sit from your target attributes. This could be something like: We believe we’re the number one plumbing company in Kansas City, but ChatGPT consistently places us in its list at #5. That’s a big gap.

Review Your Current Associations

Run a quick check on what AI says about your brand first: “What can you tell me about [brand name]?” If your marketing is focused on a specific vertical, ask about that. This can uncover wrong facts, wrong framing, or complete absence from the answers that matter.

At this stage, you are looking for entity clarity. AI systems need to know exactly what category you belong to. If you sell organic dog food, AI needs to categorize your brand under pet nutrition, not general groceries. If your business name uses common words, AI needs clear signals to know who you are in all of the context so that it can place you correctly depending on the user’s intent. Without clarity, AI won’t feel confident enough to mention your brand. 

If you have questions about entity SEO, there may be answers here: https://searchdogconsulting.com/insights/frequently-asked-questions-about-ai-search/ 

To start, focus on what you control and follow your prioritization list. Fix your own site and any managed platforms. AI systems cross-reference signals from multiple sources, and they rely on consistency to build confidence.

When your signals are consistent across the web, AI systems can categorize and reference your brand with high confidence. When they conflict, confidence drops, and your brand is much less likely to be mentioned. Ensure your brand description is identical across:

  • Your website’s visible text
  • Social profiles
  • Business profiles (like Google Business Profile)
  • Review platforms and industry directories

Along with accuracy, you’ll also want to keep an eye on your placement in AI answers. You can be described perfectly but still miss the list when someone asks, “what are the top roofing companies in Kansas City”, for example. This is starting to feel a bit like SEO. However, placements in AI answers are much, much more erratic. Answers will differ based on models, users, geolocations, word variations in the prompt, conversation history, etc.

Coming up next

Now that you know the basics of GEO, we will dive in a little deeper as we move forward through this series. Here’s what you can expect next:




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