Most teams treat the Google Business Profile as the single switch for local visibility. That assumption is now outdated. Recent data shows that while AI Overviews appear for 68% of local searches, the data powering those answers rarely comes from your profile. Instead, these AI summaries scrape information from websites and third-party citations. This disconnect creates a specific risk: you can have a perfect profile and still be invisible in the AI answers your customers see. We clarify how Google Business Profile AI Overviews actually work so you can stop wasting effort on the wrong levers and start building the right kind of local LLM visibility.
The 68% vs. 39% Gap: Two Distinct Local SERP Layers
A Q2 2025 Whitespark study reveals a critical divergence in how local results are displayed. AI Overviews appear for 68% of local searches, while traditional local packs only appear for 39% of queries. This gap highlights that we are dealing with two separate layers of the Search Engine Results Page (SERP), not a single unified system.
Understanding the data source for each layer is key to avoiding misaligned optimization efforts. Local Packs are directly driven by Google Business Profile (GBP) data. If you rank in the local pack, your name, address, and phone number are pulled straight from your verified profile. In contrast, AI Overviews operate on different logic. For informational or complex queries, these AI-generated answers often scrape information from unstructured sources like your main website, Yelp, or Reddit threads.
This means a business can have a perfectly optimized GBP and still be invisible in the AI-generated narrative if its website content or third-party citations are weak. Consider the inverse relationship between intent types. For simple local queries like “plumber near me,” local packs dominate, making GBP the primary control point. However, for informational-intent queries, AI Overviews appear in 92% of cases.
This creates a scenario where local LLM visibility depends on your broader digital footprint rather than your map data alone. A business might dominate the map pack but fail to appear in the AI summary if the models are pulling from a competitor’s blog or a third-party review site instead of the brand’s official profile.
What Google Business Profile Still Controls in the AI Era
While AI Overviews reshape how users find information, the Google Business Profile (GBP) remains the operational backbone for map-based discovery. Google has been rolling out AI features within the Maps app since Q4 2024, including review summaries and “ask about this place” prompts. These functions do not rely on external scraping; they are powered directly by the data you maintain in your GBP. Without an accurate and complete profile, these AI-assisted map features cannot function correctly, meaning your visibility in the digital map is still tethered to your structured business data.
The importance of this is clearest in high-intent scenarios. When a user searches for simple local queries like “tacos near me,” local packs still appear in over 90% of cases, according to Q2 2025 Whitespark data. In these moments, the user is not looking for a narrative explanation; they want a specific, actionable location. The Google Business Profile AI features serve as the direct bridge between intent and action. If your GBP is missing or inconsistent, you are invisible at the precise moment a customer is ready to make a decision.
There is, however, an emerging overlap. As AI Overviews and local packs appear together on the same search results page, the distinction blurs. This signals that maintaining a robust GBP is no longer just a local SEO task; it is a baseline requirement for local LLM visibility. Even if the AI summary above is generated from website content, the map pack below it relies on your profile. Ignoring your GBP risks losing the high-conversion layer of search, even if you capture the informational layer.
Why AI Overviews Ignore Your GBP Data
When a customer asks an AI assistant for a detailed recommendation, the system rarely looks at your Google Business Profile first. Instead, AI models prioritize unstructured data from websites and third-party platforms like Yelp or Reddit. For complex or informational queries, this scraping mechanism treats your website content and broader web citations as the primary source of truth, while structured profile data plays a secondary role. This shift explains why a robust GBP does not guarantee prominence in AI search local business answers.
This reliance on unstructured sources introduces a new risk: AI hallucinations. Because these models synthesize information from disparate, sometimes conflicting sources, they can generate false claims about your business hours or service offerings. These inaccuracies are not pulled directly from your verified profile but from noisy web data. For local business owners, this makes reputation management on third-party sites a critical new priority. You must ensure that the external mentions feeding these models are accurate and consistent, as errors in these sources will persist in AI-generated narratives.
The Narrative vs. The Trust Signal
The user experience of GBP AI Overviews differs fundamentally from traditional map results. AI Overviews are wordier, presenting a synthesized paragraph that tells a story about a business. Local packs, by contrast, are streamlined lists focused on location and immediate action. While your Google Business Profile drives the “trust” signals in maps—such as verified hours and reviews—it does not directly drive the “narrative” in AI answers.
To achieve true local LLM visibility, you must look beyond the profile. The AI engine constructs its response based on the broader digital footprint. If your website is thin on content or your third-party citations are outdated, the AI will fill the gaps with guesswork. Managing this narrative requires monitoring how your brand is described across the web, not just within your own controlled profile.
Practical Implications for Local Managers
| Data Source | Impact on AI Overviews | Role in Local Packs |
|---|---|---|
| Website Content | High: Primary source for narrative details | Low: Not directly used for ranking |
| Third-Party Citations | High: Context for entity validation | Medium: Secondary ranking factor |
| Google Business Profile | Low: Indirect influence via entity graph | High: Primary driver for ranking |
Understanding this separation helps allocate effort where it counts. Optimizing the profile remains essential for map visibility, but it is no longer sufficient for shaping how AI describes your business to the world.
Calibrating Urgency: Traditional Search Still Dominates
The narrative that traditional search is obsolete often overshadows a more stable reality: 95% of Americans still engage with traditional search engines like Google every month, according to Sparktoro. This persistent reliance suggests that the “death of SEO” narrative is premature, especially for local businesses where high-intent queries still drive significant conversions. While AI tools are gaining traction, they have not yet displaced the search engine as the primary discovery channel for the average customer.
The Slowing Pace of AI Adoption
Growth in AI tool usage is decelerating. Sparktoro reports that the combined set of major AI tools has not experienced a 1.1x growth month since September 2024. This indicates that while AI is becoming more common, it is stabilizing rather than exploding in adoption. For a local business owner, this means that local LLM visibility is an emerging area to watch, not a crisis that requires immediate, over-concentrated resource allocation. The primary discovery path for most local customers remains rooted in conventional search behavior.
Strategic Balance: Monitor, Don’t Replace
We should view local AI visibility as a supplementary channel rather than a replacement for core local SEO strategies. Over-investing in AI-specific tactics at the expense of proven Google Business Profile and citation strategies can lead to missed high-intent opportunities. The most effective approach is to maintain a robust presence in traditional local search while monitoring how AI Overviews and other AI search features evolve. By keeping your core citations and GBP data clean, you ensure that your business is present in both the traditional and emerging layers of local search, without betting the farm on a channel that is still maturing.
FAQ: GBP and AI Overviews
Does Updating Your Profile Affect AI Rankings?
Updating your Google Business Profile does not directly improve your AI Overview ranking. These AI-generated summaries rely on website content and third-party mentions, while GBP updates primarily impact local packs and Maps features. This distinction is critical for teams focusing on AI search local business strategies. If you only maintain your profile but ignore your website’s entity data, you may remain invisible in the AI-driven layer of results.
How Does Local LLM Visibility Differ from Traditional SEO?
Traditional local SEO drives the map results you see in the local pack, powered by your Google Business Profile AI data. Local LLM visibility, by contrast, refers to appearing in AI-generated answers from tools like ChatGPT or Google AI Mode. These systems often use different data sources, scraping from websites and industry-specific platforms rather than relying on the structured data in your profile.
What Should You Prioritize for Better Results?
For AI search local business success, prioritize both, but lean toward your website for AI Overviews. Ensure your site and high-authority third-party citations contain clear, accurate entity data, as these are the primary sources AI models scrape. Your Google Business Profile remains vital for trust in map-based searches, but your broader digital footprint drives your presence in the AI narrative.
The relationship between Google Business Profile AI and broader search ecosystems is not a competition for the same data, but a division of labor. One layer handles the immediate, high-intent query; the other builds the contextual narrative.
While GBP remains the foundation for driving conversions through Maps and Local Packs, AI Overviews operate as a distinct visibility layer. They are driven by the broader digital footprint—specifically the consistency of information across websites and third-party platforms. This means that a strong presence on one channel does not automatically guarantee prominence on the other.
For managers, the practical next step is not to “optimize for AI” in a vacuum. Instead, it is to audit the consistency of your brand’s information. When the details in your local LLM visibility sources align with your core profile, you create a reliable foundation for AI search local business visibility. This consistency ensures that when these models scrape data to generate answers, they find a coherent, trustworthy entity rather than conflicting signals. The goal is clarity across all platforms that feed these AI models.
