AI Search vs Google: What Local Businesses Need to Know
Google has dominated local business discovery for two decades. When customers search for a plumber, dentist, or restaurant, Google's local 3-pack has been the gatekeeper. That monopoly is breaking. ChatGPT now has over 800 million weekly active users. Perplexity processes millions of queries daily. Google's own AI Overviews are transforming how search results appear.
These AI platforms do not work like Google. They use different data sources, apply different ranking logic, and produce fundamentally different results. A business that ranks first on Google can be completely invisible to ChatGPT. Understanding these differences is the first step toward being found on both. For a deep dive into ChatGPT specifically, see our guide on how ChatGPT finds local businesses (/blog/how-chatgpt-finds-local-businesses). For actionable steps, see how to improve AI visibility for your local business (/blog/ai-visibility-local-businesses).
How Does AI Search Differ from Google for Local Businesses?
Google's local search algorithm evaluates three primary factors: relevance (how well a business matches the query), distance (how close the business is to the searcher), and prominence (how well-known the business is based on reviews, links, and web presence). This system has been refined over 20 years and primarily relies on Google Business Profile data and the broader web index.
AI search platforms operate on an entirely different model. ChatGPT pulls the majority of its local business data from Foursquare Places, supplemented by Yelp and Bing's web index. Perplexity crawls the web in real time and cross-references directory data. Google AI Overviews synthesize information from across Google's own index but present it in a conversational format that typically recommends far fewer businesses than the traditional local pack.
The fundamental difference is structural. Google shows a ranked list of businesses and lets users choose. AI platforms make the choice for the user, recommending one to three businesses in a conversational answer. This makes AI search dramatically more selective and raises the stakes for every local business.
What Data Sources Do AI Platforms Use Compared to Google?
Google's local search draws from a relatively contained ecosystem. Google Business Profile is the primary data source, supplemented by the web index, user reviews on Google, and third-party data aggregators. Businesses that optimize their Google Business Profile and build strong web presence have a clear path to local visibility.
AI platforms pull from a wider and less predictable set of sources. Here's how they differ:
| Platform | Primary Data Sources | Secondary Sources | How It Selects |
| --- | --- | --- | --- |
| Google Local Pack | Google Business Profile, web index, Google reviews | Aggregator data, Maps data | Ranks by relevance, distance, prominence |
| ChatGPT | Foursquare Places, Yelp Fusion | Bing web index, Apple Maps | Synthesizes entity data into conversational answers |
| Perplexity | Real-time web crawling, directory data | Review platforms, structured data | Crawls and cites sources in real time |
| Google AI Overviews | Google search index, Knowledge Graph | Google reviews, structured data | Summarizes top search results into AI answers |
Why Can a Business Rank on Google but Be Invisible to AI?
The disconnect happens because Google and AI platforms evaluate different inputs. A business can invest heavily in Google Business Profile optimization, backlink building, and on-page SEO and achieve first-page Google rankings. None of those actions guarantee AI visibility because ChatGPT does not use Google's index as its primary data source.
Common reasons a Google-visible business is AI-invisible include: no Foursquare listing (eliminates the business from over 70 percent of ChatGPT's local data), unclaimed or incomplete Yelp page (reduces AI confidence in the business entity), no LocalBusiness schema markup on the website (makes it harder for AI crawlers to parse business information), and inconsistent NAP data across directories (confuses entity resolution algorithms that AI platforms use to confirm a business exists).
The reverse is also true. A business with strong Foursquare presence, consistent directory data, and good schema markup can appear in ChatGPT results even if its Google rankings are mediocre. The two systems are independent discovery channels.
How Selective Are AI Platforms Compared to Google?
SOCi's 2026 Local Visibility Index analyzed over 350,000 locations across 2,751 multi-location brands. The results quantify just how much more selective AI platforms are:
| Platform | Percent of Locations Recommended | Relative Selectivity vs Google |
| --- | --- | --- |
| Google Local 3-Pack | 35.9% | Baseline |
| Gemini | 11.0% | 3x more selective |
| Perplexity | 7.4% | 5x more selective |
| ChatGPT | 1.2% | 30x more selective |
This selectivity means AI search operates as a winner-take-most system. When a user asks ChatGPT for the best plumber in Austin, the platform does not show 10 blue links. It recommends one to three businesses. Every other plumber in Austin is invisible for that query. The businesses that AI platforms select tend to have 4.3-star ratings or higher, complete directory profiles, and consistent data across multiple sources.
For local businesses, this creates both risk and opportunity. The risk is being excluded entirely from a growing discovery channel. The opportunity is that competitors who are not optimizing for AI search can be overtaken with relatively straightforward directory and structured data improvements.
Should Local Businesses Prioritize AI Search or Google?
Google remains the dominant source of local business traffic. Organic search and the local pack generate the majority of calls, direction requests, and website visits for most local businesses. Abandoning Google optimization in favor of AI search would be a mistake.
However, AI search traffic is growing at a rate that demands attention. ChatGPT's user base doubled from 400 million to 800 million weekly active users in 12 months. Perplexity grew 800 percent year over year. Google AI Overviews now appear on 47 percent of all search queries. The trajectory is clear.
The practical approach is to optimize for both channels simultaneously. Many foundational actions benefit both: building consistent NAP data across directories strengthens Google's local algorithm and improves AI entity confidence. Adding LocalBusiness schema markup helps Google understand your business and gives AI crawlers machine-readable data. Building review volume across multiple platforms feeds both Google's prominence signal and AI platforms' sentiment analysis.