AI local visibility is up to 30x harder than ranking in Google: Report

Most brands performing well in traditional local search fail to appear in results from ChatGPT, Gemini, and Perplexity, according to SOCi’s newly released 2026 local visibility index.

• Also of note: business profile information was only about 68% accurate on ChatGPT and Perplexity, compared with 100% accuracy on Gemini, which is grounded in Google Maps.

AI limits local visibility. Performance data from nearly 350,000 locations across 2,751 multi-location brands was analyzed to measure how often locations are surfaced or recommended by AI assistants. Turns out, AI platforms are far more selective than Google’s local results:

• 1.2% of locations were recommended by ChatGPT, 11% by Gemini, and 7.4% by Perplexity.
• By comparison, brands appeared in Google’s local 3-pack 35.9% of the time.
• AI visibility is three to 30 times harder to achieve than ranking well in traditional local search, SOCi estimated.

AI and Google visibility differ. Across industries, fewer than half of the brands that lead in Google local visibility also appear among the most visible brands in AI results.

• In retail, only 45% of the top 20 brands by traditional local search visibility overlapped with the top 20 brands most frequently recommended by AI.

Why we care. Strong Google local rankings don’t guarantee visibility in AI-powered recommendations. Your brand’s data, reputation, and content must be consistent across the wider ecosystem that AI systems rely on (Google Maps, Yelp, Facebook, brand websites, and other trusted sources). They filter aggressively and favor locations with accurate data, strong sentiment, and clear differentiation. That’s a big shift – from optimization to qualification.

AI favors higher-rated businesses. AI recommendations consistently favor businesses with above-average sentiment, treating reviews as a filter rather than a ranking signal.

• Locations recommended by ChatGPT averaged 4.3 stars, compared with 3.9 stars on Gemini and 4.1 stars on Perplexity, according to SOCi.
• In traditional local search, businesses with average or even middling ratings can still rank based on proximity and category relevance. In AI-driven results, SOCi found those same locations are frequently excluded altogether, as AI systems prioritize confidence and risk reduction over breadth.

Impact varies by industry. AI visibility thresholds differ sharply by sector:

• Retail: Fewer than half of top-ranked local search brands (45%) carried over into AI recommendations. Sam’s Club and Aldi exceeded expectations, while Target and Batteries Plus Bulbs slipped. The gap shows that AI favors consistent, trusted signals across platforms.
• Restaurants: Visibility is concentrated among a small group of leaders. Culver’s beat category benchmarks, reaching AI recommendation rates of 30.0% on ChatGPT and 45.8% on Gemini. Strong ratings and complete profiles drove this performance. Brands with weaker data and sentiment often failed to appear in AI recommendations at all.
• Financial services: After improving profile coverage, ratings, and data accuracy, Liberty Tax achieved 68.3% visibility in Google’s local 3-pack and was recommended 19.2% of the time on Gemini and 26.9% on Perplexity, well above category benchmarks.
  • Underperforming financial brands with low profile accuracy, average ratings near 3.4 stars, and review response rates below 5% were effectively invisible in AI recommendations. Weak fundamentals now translate directly into zero AI visibility, SOCi found.

The report. The 2026 Local Visibility Index (registration required)