For years, local marketing had one obsession: the Google 3-Pack. Those three local business listings that appear at the top of Google search results, complete with map and reviews. If you were in the 3-Pack for your key terms, you won. If you weren't, you were fighting for scraps.
That game isn't going away, but it's becoming less relevant. AI-mediated search is fundamentally changing how people discover local businesses. And the businesses that don't adapt are going to find themselves optimizing for a shrinking slice of the pie.
What the 3-Pack got right
Google's local pack was a brilliant interface for its time. You search "plumber near me," you get three options with ratings, reviews, and a map. It surfaced the most relevant businesses quickly, and it created clear winners: those three spots at the top.
Businesses responded by optimizing for local SEO. Google Business Profile became critical. Review collection became critical. Proximity, relevance, and prominence were the signals that mattered.
This worked because users were willing to choose from a list. They'd click through the top three options, compare reviews, maybe check websites. The 3-Pack gave them options; they made the decision.
For Google's current AI Search guidance, read How Local Businesses Can Show Up in Google AI Search. For the operating checklist behind AI recommendations, see How to Get AI to Recommend My Business.
What AI changes
AI assistants don't give you a list. They give you an answer.
"Who's the best plumber in Austin?" doesn't return three options for you to compare. It returns one name, maybe two, presented with the AI's confidence that this is the right answer.
This collapses the decision-making process. Users aren't choosing from options. They're accepting a recommendation. The AI has already made the judgment call about who's best.
Important
In the 3-Pack, being second or third still got you visibility. In AI recommendations, being just outside the short list often means not being mentioned at all. The shortlist dynamic is much more severe.
The signals are different
Google's local algorithm famously weights proximity heavily. A business closer to the searcher's location gets a boost. This created hyper-local dynamics where a plumber in north Austin might dominate that area but be absent in south Austin.
AI recommendations work differently. Proximity matters, but reputation signals matter more. An AI answering "best plumber in Austin" is making a city-wide judgment about quality. It's looking at review volume, sentiment, recency, and credibility across the entire market.
Pro Tip
This actually helps strong businesses with broad reputations. A company with 5,000 reviews and dominant brand recognition can get recommended across an entire metro, while in Google's 3-Pack they might have struggled against local competitors in specific neighborhoods.
But it also raises the bar. You can't just be good in your immediate area. You need a reputation that stands out across your entire market.
The transition is happening now
AI adoption for local search is growing fast. Every Google search that triggers an AI Overview, every AI Mode conversation, every ChatGPT user asking for recommendations, and every Perplexity answer with cited sources shifts discovery toward AI-mediated results.
The exact numbers vary by platform and category, but the direction is clear. BrightLocal found that use of AI tools for local recommendations grew from 6% in 2025 to 45% in 2026. Google also reported that AI Mode has passed 1 billion monthly users. Traditional search is not dying, but AI is now embedded inside the search behavior that local businesses rely on.
"The time to build AI-facing reputation signals is now, while the competitive landscape is still forming."
What this means for your strategy
Don't abandon Google Business Profile. The 3-Pack still matters, and GBP optimization helps with both traditional and AI search. But shift your emphasis.
Review velocity over proximity. You can't control where you're located, but you can control how fast you're collecting reviews. In AI recommendations, review velocity is one of the strongest signals.
Reputation breadth over local dominance. Build review presence across platforms, not just Google. AI systems aggregate signals from everywhere. A strong Yelp profile, BBB presence, and industry directory listings all contribute.
Entity optimization. Make sure AI systems understand what your business is. Schema markup, LLMs.txt, consistent citations. These help AI make accurate recommendations.
Monitor AI results directly. Start testing what ChatGPT and Gemini say about your business category. Track whether you're being recommended. This is the new ranking metric that matters.
Important
The 3-Pack isn't dead yet. But the future of local discovery is being written by AI, and it looks very different.
Further Reading
- ChatGPT Statistics for Local SEO. Key data on AI search adoption and local business impact
- Local Ranking Factors in ChatGPT. Analysis of what signals drive ChatGPT's local recommendations
- BrightLocal: Local Consumer Review Survey 2026. Consumer adoption data for AI recommendations and reviews
- Google: A New Era for AI Search (I/O 2026). Official update on AI Mode adoption and Search integration
- Top Generative AI Chatbots by Market Share. First Page Sage's competitive analysis
Dylan Allen-Arnegård is the CEO of Cheers, the local search platform for service businesses.