Your Google Business Profile Is Now a Data Source for AI Overviews: What Local Businesses Actually Need to Update

For years, your Google Business Profile had one job: help your business show up in the local map pack when someone nearby searched for what you do. The logic was simple. Keep your hours accurate, collect some reviews, add a few photos, and the profile would do its work.

That job hasn’t gone away. But the profile now has a second one. Google’s AI Overviews pull from Business Profile data when generating answers to local queries, using the information you’ve published to describe businesses, compare options, and recommend specific services. A profile optimized purely for map pack placement isn’t necessarily optimized for the way AI Overviews read and interpret local business data.

The good news is that fixing this doesn’t require a completely different strategy. It requires knowing which fields AI reads most carefully and making sure what’s there is accurate, specific, and genuinely useful.

How Google Business Profile Feeds AI Overviews

When someone searches a local query that triggers an AI Overview, Google isn’t just pulling from websites. It’s drawing on its entire local data infrastructure, which includes your Business Profile. Business category, service descriptions, review content, Q&A responses, and attributes all contribute to how AI Overviews describe your business and what they recommend you for.

The mechanism is consistent with how AI Overviews work more broadly. They pull from sources Google has already indexed and verified as credible and accurate. For local businesses, your GBP is one of those verified sources, and it carries significant weight precisely because Google controls and verifies it. A competitor with a thin, outdated profile is less likely to be cited or recommended in an AI-generated answer, even if their website is otherwise solid.

This is why local SEO now involves GBP management as an AI optimization task, not just a map pack maintenance task. The profile you manage directly shapes what AI systems say about your business when someone asks.

ALSO READ: Topic-First Content Is Replacing Keyword-First Pages in AI Search Results

The GBP Fields AI Reads Most Heavily

Not every field in your Business Profile carries equal weight. These three have the most direct influence on AI Overview content generation for local businesses.

Business Category and Service Descriptions

Your primary business category is one of the most powerful signals in your profile. It tells Google’s systems what type of business you are at a categorical level, and AI Overviews use it to determine when your business is a relevant match for a query. A plumbing company that selected “Plumber” as its primary category will be matched to plumbing queries. One that selected “Contractor” may not appear in AI answers for specific plumbing searches, even if plumbing is their core service.

Secondary categories expand that relevance. A general contractor who also does kitchen remodels and bathroom renovations should list those as secondary categories rather than leaving them implied. The same applies to service descriptions. The services section of your profile allows you to describe individual offerings with detail: name, description, and price if applicable. AI systems can extract those specific services when generating answers that compare or recommend local providers. “Residential Drain Cleaning” with a two-sentence description is far more useful to AI retrieval than a catch-all entry labeled “General Plumbing.”

The Business Description Field

The business description field gives you 750 characters to describe what your business does, who it serves, and what makes it worth choosing. It’s one of the primary text fields AI systems read when formulating descriptions of local businesses in generated answers.

Most businesses either leave this field default-populated with minimal information or fill it with a generic marketing statement that tells AI systems very little. A description that specifies your service area, your core specializations, and what a customer can expect from working with you gives AI significantly more to work with. A family-owned HVAC company in suburban Phoenix that services residential systems, offers same-day emergency repairs, and has operated for twenty years is describing an entity AI can confidently cite as relevant for specific local HVAC queries. “We are a local HVAC company committed to excellence” tells AI almost nothing it can use.

Treat this field as a brief but specific summary of your business: what you do, where you do it, and for whom.

Reviews: Specificity Matters More Than Volume

Reviews have always influenced local rankings, but their role in AI Overviews is worth understanding separately. AI systems don’t just count reviews or average star ratings. They read review content and extract specific service mentions, location references, and sentiment patterns to inform how they describe and recommend businesses.

A review that says “Best plumber in Riverside, fixed our burst pipe within two hours on a Saturday morning” gives an AI system specific, extractable information: service type, location, speed of service, and a specific scenario. A review that says “Great service, will use again” gives AI almost nothing beyond a positive sentiment signal.

This is what makes reputation management directly relevant to AI visibility. How you ask for reviews, what you prompt customers to mention, and how you respond all shape the quality of review content AI systems can draw from. Businesses with reviews rich in service-specific language consistently outperform those with generic positive feedback in terms of AI Overview citations.

ALSO READ: Measuring GEO Impact When Clicks Decline but AI SEO Visibility Increases

What Most Local Businesses Are Getting Wrong

Beyond the high-value fields above, three common profile weaknesses consistently reduce how accurately and how often AI Overviews reference a local business.

Outdated Hours and Stale Service Information

AI Overviews are increasingly used in agentic search scenarios where a user wants AI to find and recommend a business based on current, actionable information. Hours of operation are one of the most commonly cited pieces of data in those answers. A profile showing hours that haven’t been updated since before a schedule change gives AI incorrect information to work with, and incorrect information cited in an AI answer creates a trust problem the moment a user acts on it.

The same applies to service listings. A roofing company that added metal roofing to its offerings last year but never updated its GBP services section is missing an opportunity to be cited for metal roofing queries. A dental practice that added Invisalign but hasn’t updated the services description isn’t giving AI the specific information it needs to include that practice in relevant recommendations.

An Ignored Q&A Section

The Q&A feature in Google Business Profile is one of the least managed and most valuable fields for AI data. Anyone can post a question on your profile, and the answers, whether posted by you or the public, become part of your profile’s content. AI systems can and do draw on this content when formulating answers.

Businesses that seed their own Q&A section with the questions customers actually ask, and answer them specifically, are creating structured, topically relevant content directly on their profile. “Do you offer emergency service on weekends?” answered with a specific yes and an explanation of how to reach your emergency line is exactly the kind of precise, conversational data AI Overviews are designed to surface.

Left unmanaged, the Q&A section either sits empty or accumulates unanswered public questions, sometimes with inaccurate community-provided answers that AI may treat as valid.

Generic Photos That Don’t Signal Anything

Photos on your GBP serve a visual function for human visitors, but they also carry metadata and context signals that AI systems can read. A profile full of stock-looking exterior shots and team photos provides limited topical relevance. Photos of specific services being performed, work completed on actual jobs, or products with descriptive file names and captions give AI more context about what your business actually does.

A landscaping company that uploads photos of finished projects labeled with the type of work, irrigation installation, retaining wall construction, seasonal planting, is providing visual and metadata signals that reinforce its service-level relevance. Photo recency also matters. A profile where the most recent photos are two years old signals to both traditional algorithms and AI systems that the business may not be actively maintained.

ALSO READ: Why Each AI Platform Cites Different Sources and How to Optimize for All of Them

The Practical Update Checklist

Run through this against your current profile before your next review cycle:

• Primary category: Confirm it’s the most specific match for your core service, not a broad parent category
• Secondary categories: Add all relevant service types you actually offer
• Services section: Fill out individual service entries with specific names and two to three sentence descriptions
• Business description: Rewrite it to specify what you do, your service area, and your primary customer type (750 character limit)
• Hours: Verify current accuracy including any special hours or seasonal changes
• Q&A section: Seed five to ten of your most common customer questions and answer each one specifically
• Photos: Add recent photos of actual work completed, labeled descriptively, at least monthly
• Reviews: Review your response rate and the specificity of recent review content

Attributes are also worth a dedicated review. These are the specific tags Google lets you add to your profile: things like “women-owned,” “wheelchair accessible,” “outdoor seating,” “LGBTQ+ friendly,” or “in-store pickup.” They’re filterable data points that AI systems can extract and surface when a query includes those criteria. Someone asking an AI tool for a pet-friendly restaurant or an accessible healthcare provider in their area is triggering exactly the kind of attribute match this data enables. Scan your attribute list and enable everything that accurately applies to your business. Anything missing that’s genuinely true is a missed citation opportunity.

A local SEO audit that includes GBP as a recurring component will catch drift before it affects your visibility in either traditional or AI-driven results.

What Strong GBP Optimization Looks Like Now

A well-optimized profile in the AI search era has a specific character. It reads as comprehensive without being bloated: each field is filled completely and specifically, with language that reflects how real customers describe the service rather than how the business would describe itself in a brochure.

Reviews tell specific stories. Service descriptions match the language of actual queries. The Q&A section reads like a well-maintained FAQ. Photos are recent and show actual work. Hours are accurate down to holiday schedules. Attributes are enabled for everything that genuinely applies.

A business with that kind of profile gives AI systems everything they need to confidently recommend it in a generated answer, because confidence in AI citations comes from data consistency and specificity, not from keyword density or star counts.

Keep Your Profile Working for Both Systems

The map pack and AI Overviews are not two separate channels requiring two separate strategies. They draw from the same profile data. The difference is in what each system weights most: the map pack has historically leaned on proximity, review volume, and category match, while AI Overviews weigh the quality and specificity of the information you’ve provided.

A Business Profile optimized for both needs to be accurate, specific, comprehensive, and current. That combination serves both systems simultaneously. At The Ad Firm, our local SEO team manages Google Business Profiles as part of a broader GEO strategy that accounts for both traditional map placement and AI-generated answer visibility. Contact our team to find out what your current profile is telling AI systems about your business.

Frequently Asked Questions

Does Google Business Profile information appear in AI Overviews?

Yes. Google’s AI Overviews draw from Business Profile data when generating answers to local queries. Business category, service descriptions, reviews, Q&A content, and attributes all contribute to how AI Overviews describe and recommend local businesses. A profile that’s incomplete or outdated gives AI less useful information to work with and reduces the likelihood of appearing in AI-generated local answers.

Which Google Business Profile fields matter most for AI Overviews?

The fields with the most direct influence on AI Overview content are the primary and secondary business categories, individual service descriptions, the business description field, review content, and attributes. These provide the specific, structured information AI systems use to match businesses with relevant queries and describe them accurately in generated answers.

How do reviews affect AI Overviews for local businesses?

AI Overviews don’t just count reviews or look at star ratings. They read review content and extract specific service mentions, locations, and scenarios. Reviews that describe specific services, problems solved, or notable details about the experience give AI systems more useful information than generic positive feedback. Businesses with detailed, service-specific review content are more likely to be cited accurately in AI-generated local answers.

How often should I update my Google Business Profile?

At a minimum, review your profile monthly for accuracy: hours, services, and business description. Add new photos at least monthly and check the Q&A section weekly for new questions. Any change to your business, new services, updated hours, a location change, should be reflected in the profile within the week. Freshness signals matter for both traditional local rankings and AI Overview inclusion.