Your Google Business Profile Categories Haven’t Changed Since Setup, But Their Audience Has

Key takeaways

• Google Business Profile categories and attributes are structured data that both Google's local ranking algorithms and AI search tools read
• Google allows one primary category and up to nine secondary categories per profile
• Your primary category determines which attributes are even available to you
• At multi-location scale, teams must catch conflicting or inaccurate categories between locations, reviewing Google’s automatic edits before they go live

When multi-location brands audit their online presence for the first time, the results are rarely healthy. It would be quite impressive if they were.

One automotive services brand we spoke with recently discovered close to 3,000 profiles across its network that were incomplete, inconsistent, or completely unmanaged — and nobody at headquarters could say with any ounce of confidence which categories were chosen by half of their estate.

The profiles existed — and that was the extent of their knowledge.

In 2024, when we first published this guide, categories and attributes were among the most decisive local search ranking factors — important, but one factor among many.

In 2026, they’re also the structured facts that AI Overviews, AI Mode, and AI assistants read when generating an answer — or a local business recommendation. So when a wrong primary category used to mean ranking lower, today it can mean being omitted from answers.

And omission is understandably a nightmare for multi-location marketing teams — according to our GEO playbook, more than 2 in 3 brands are missing from AI recommendations in their category, and 88% suffer inconsistent business information across AI models. This comes down to the simple fact that there's no well-maintained business location data available for search systems to read in these cases.

Google Business Profile categories and attributes are two of the few fields teams fully control, which makes them the obvious place to start.

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What Are Google Categories?

Google business categories are the labels that tell Google what your business is. You choose one primary category — your core business activity — and up to nine secondary categories that describe additional offerings.

The best rule of thumb for a category vs a service/product is the following:

• If a business is X, that X is a category (a restaurant)
• If the business has a Y, that Y is an attribute (delivery service)

Primary categories might include: restaurant, café, supermarket, pharmacy, hairdresser, dentist, veterinarian, lawyer, financial advisor, real estate agent, gas station, auto repair shop, gym, electronics store, clothing store, hospital, childcare, school.

Your primary category appears (quite subtly) at the top of your profile on Google Maps (see below).

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Then you have secondary categories, which provide search systems like Google with extra context beyond the primary category. Some businesses have been caught "category stuffing," hoping that they'll extend their reach and rankings by doing so, but in reality, these extra categories just dilute local relevance when customers search for a specific business or service — and it actually just makes it harder for Google and presumably AI systems to understand what those businesses actually do.

Secondary categories might include: pizzeria, catering, takeaway restaurant, vegan restaurant, clothing store, sporting goods store, shoe store, electronics store, wedding photographer, pediatrician, physiotherapist, tax consultant, boutique hotel, hostel, resort, business hotel, bed & breakfast

If you're wondering how to "strategically" choose GBP categories — how many to add and how to avoid category stuffing — pick only the most relevant to your business. Google's own advice is to select a specific category that represents your main business, not what it sells or offers occasionally.

Here are some more guidelines I've taken straight from Google:

• Do not use categories solely as keywords or to describe features of your business
• Do not use categories that match other nearby or related businesses. Example:
  • A business that’s located inside your business's physical location
  • Another business that your business is located inside.

Our Principle Solution Engineer and Google Business Profile Platinum Expert Ehab Aboud clarifies these Google guidelines further: "Don't use categories that match nearby or related businesses IF they don't represent the parent business. For example, you can have a clothing store inside a clothing store, but one might be for kids, and the other might be for everyone (including kids)."

Let's take the coffee shop example above. It can safely run "Cafe" as primary and maybe "Bakery" or "Brunch restaurant" as secondary — if it also sells baked goods and offers brunch-type items on its menu, of course. It would be daft if the team suddenly added "Event venue" as a secondary category because it once hosted an afterwork networking event.

I’ve obviously been quite granular with this example, but you can see just how clear businesses have to be when setting and maintaining the right category for one location, let alone for 10, 1,000, or 10,000 locations. To add to this complexity, Google has been known to override or revert categories based on what it can read about your business online — for example on your website, Facebook page, Yelp profile, etc. It may, in some cases, assign you a category it finds more relevant.

And that's where it usually gets sticky for most multi-location brands — when they make the smallest change (for example, opening hours) to their listings, Google now does an integrity check against the entire profile to make sure it's right. This is partly because some fields relate to others. For example, a law firm is very rarely 24 hours. Google knows this and accounts for it.

The problem is that businesses get caught out from this because they have the wrong setup, and often this is due to unclear or conflicting categories.

A listings management platform makes this scalable by ensuring there's one source of truth for every category and attribute across every location, and teams can review what's actually live, catch inconsistencies, and push corrections in bulk instead of editing profiles one by one.

What Are Google Attributes?

Google Business Profile attributes are the highly identifiable details you share with potential customers and Google or AI systems about the on-site customer experience. These typically include:

• Service: curbside pickup, reservations required, online orders
• Access and comfort: wheelchair accessibility, parking, free Wi-Fi
• Payment: card payment, mobile payment systems
• Identity: women-owned, veteran-owned, and similar designations
• Industry-specific: outdoor seating, delivery, takeaway, pets allowed, vegetarian options, electric charging stations

Attributes appear on your GBP on Google Search, Google Maps, and other Google products and services — and your business might show up in search results when people search for places with those attributes specifically.

The attributes available to you depend on the primary category you’ve chosen.

That means if you pick "Restaurant," you'll see attributes like outdoor seating and vegetarian options. If you pick "Gas Station," you'll see car wash and EV charging instead.

Note: Attributes can change over time — WhatsApp and SMS attributes, for example, represent Google’s proactive efforts to help businesses grow and engage with their customers.

So, make sure you regularly check which attributes are available and relevant to your business — Google updates them more often than you'd think.

If you’re looking for a step-by-step on how to actually add categories and attributes to your profile, Google’s own material covers this pretty well. If you’re managing multiple locations, Uberall lets you set and update categories and attributes in bulk — it’s the same change, rolled out across every location in one go, instead of editing profiles individually through Google.

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What I really want to get into, though, is why clean and accurate categories and attributes across hundreds of locations could make all the difference in foot traffic and revenue.

Category and Attribute Data Help AI Understand Your Business

When someone asks an AI tool — whether that’s Google AI Mode, ChatGPT, or anything else — for "a pharmacy near me that's open Sundays and wheelchair accessible," that answer is built from structured location data: your categories, your attributes, your NAP, internal taxonomy from photos and videos — as well as their captions.

Google confirmed this directly in its May 2026 AI search guidance: AI features in Search draw on the information provided in Google Business Profiles when recommending local businesses.

This is why practitioners in local search now treat categories and attributes as part of AI visibility, not just local SEO. What multi-location brands should be doing right now is auditing their listings to find out what categories and attributes their locations are actually running today.

Attributes are a conversion factor too. When a potential customer sees that your location offers exactly what they need (parking, outdoor seating, contactless payment, delivery), that's often the detail that turns a search into a visit. The more complete and accurate your attributes are, the less reason someone has to keep looking.

That brand with 3,000 unmanaged profiles wasn’t necessarily careless — it was like most enterprise brands. It grew rapidly, while nobody’s job was to keep location data managed at scale. That’s pretty hard to survive today, when AI systems are building recommendations from clean and consistent data.

In nearly every conversation we have with multi-location brands, the same question comes up within minutes of categories and attributes appearing on screen: "Do we have to manage this per location?" One marketer we spoke to described it as a nightmare to update and maintain. They’re right, and it usually comes down to three things:

1. Category inconsistency: Locations get set up by different people at different times, and a network that was supposed to run one consistent primary category ends up running five variants of it.
2. Google’s automatic edits: As I explained above, Google increasingly applies its own suggested changes to GBP attributes, and without monitoring, those edits go live without teams receiving a notification.
3. Local changes: A franchisee, member of the public or location manager updates something that makes sense locally and breaks consistency across the network.

There’s a caveat to making changes at scale, though: Switching a primary category can trigger Google to demand video reverification across every location — even dozens at once — which is a nightmare for local staff. Working with a platform like Uberall helps in two ways: Our in-house GBP expertise means we can often help brands avoid triggering these situations in the first place, and when issues do come up, our direct partnership with Google gives us escalation pathways that aren't available through standard support channels.

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Here’s something worth doing regardless: Search for your own categories and attributes in ChatGPT, Gemini, or Perplexity — or whichever tool you prefer. See which local businesses come up. Look at how they describe themselves online, how they position themselves on their own website, how their profiles are optimized, where they're being mentioned on third-party sites. Investigate their digital footprint. That's one way of doing a quick competitive audit for AI search and it takes about ten minutes.

Changed Your Category Quickly? Now Do It 500 Times, Really Fast!

The trick to maximizing search visibility is treating category and attribute data as governed, centrally managed fields rather than per-profile settings.

With one source of truth, bulk updates across the network, alerts when Google suggests or applies an edit, and locked fields where consistency is nonnegotiable — things won't get messy and unmanageable, and search systems won't get confused about your business.

Remember: More than 2 in 3 brands are missing from AI recommendations, and 88% have inconsistent business information across AI models. If yours are wrong, this is fixable, and if you don’t know whether they’re wrong, that’s where you start.

This hasn’t changed since the first version of this article: Categories and attributes only drive results when your business information is accurate everywhere, which is what a location marketing layer across 150+ directories is for.