AI Search in 2026: ChatGPT, Gemini, Perplexity and What It Means for Your Business

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By NewSunSEO March 29, 2023

AI Search in 2026: ChatGPT, Gemini, Perplexity and What It Means for Your Business

ChatGPT, Gemini, and Perplexity may now handle a combined search volume equivalent to roughly 12% of Google’s total, and 45% of consumers may use AI tools to research local businesses, up from 6% a year ago. For Long Island businesses, this creates a new visibility problem: most companies that rank well in Google’s traditional local pack are nearly invisible in AI search results, because AI platforms surface a smaller set of businesses and in some cases keep users in a conversation loop that never reaches your website.

The Four AI Search Platforms That Matter for Local Businesses

Not all AI search platforms return the same results for local businesses.

Google (81.6% search market share) remains dominant and will stay that way. Its AI Overviews now appear in 40% of local queries. Google has an advantage no other platform has: its AI uses Google Maps data with near-perfect accuracy. Of businesses that appear in Gemini AI results, 100% of location data is accurate. That accuracy comes from GBP being the primary data source. Being highly visible in traditional Google local search is still the primary goal, but AI Overviews are increasingly the interface for a large share of those searches.

ChatGPT (542 million monthly users) handles about 12% of Google’s search volume. Its local business data is sourced from web crawls and structured data sources, not directly from Google Maps. Only about 1.2% of local businesses appear in ChatGPT’s recommendations when a user asks for local services. The platform keeps users in conversation rather than sending them to websites: ChatGPT sends 190 times less traffic to websites than Google despite its search volume. Visibility in ChatGPT is valuable for brand awareness and citation, but not primarily a traffic driver.

Gemini (rapidly growing, 70% of Google Cloud customers using it) has 11% local business visibility, much higher than ChatGPT, because it is grounded in Google Maps data. A business well-represented in GBP is much more likely to appear in Gemini than in any other AI platform. This is the clearest bridge between traditional local SEO and AI search visibility.

Perplexity (emerging) recommends about 7.4% of local businesses when asked for recommendations. Its data accuracy is lower than Gemini (68% vs. 100%) because it aggregates from multiple sources rather than using a single authoritative database. It is growing but not yet a primary focus for most local businesses.

Why AI Visibility Is 3-30 Times Harder Than Traditional Local Ranking

Google’s traditional local 3-pack surfaces about 35.9% of qualifying businesses in a given area. AI recommendations surface 1.2% to 11% depending on the platform. The math is stark: being a mid-pack local business gives you a reasonable shot at traditional search visibility. The same business is unlikely to appear in AI recommendations unless it has built a significantly stronger signal profile.

Proximity matters less, AI systems don’t just pick the nearest business; they pick the most trustworthy business. Review consensus matters more because AI systems aggregate what reviews say about a business, not just how many reviews there are. AI systems recommend businesses more confidently when the businesses’ information appears consistently across many sources. Businesses whose online presence clearly shows them as an answer for a specific type of service in a specific area have higher AI visibility.

The practical result is that AI compresses local competition more than traditional search did. Where the traditional 3-pack spread visibility across a group of businesses, AI concentrates it on a smaller set of winners.

What Do Zero-Click Searches Mean for Local Business Traffic?

Roughly 60% of all Google searches now end without a click to any website. Users get their question answered in the search results, in an AI Overview, a featured snippet, a Knowledge Panel, and don’t need to go further. For informational queries, this is clearly the trend. For transactional local queries (I need a plumber, I need to book a dentist appointment), the click-through rate is better but still declining.

This doesn’t mean websites are irrelevant, it means the function of organic search traffic is changing. Ranking well in traditional results still drives direct traffic from intent-driven searches. But being cited in AI Overviews provides brand awareness even when users don’t click. A business that appears consistently in AI-generated summaries, “For HVAC service in Huntington, customers frequently recommend…,” builds brand recognition even with users who never visit the site in that session.

The measurement implication: tracking traffic alone understates the value of strong search presence in 2026. GBP metrics (direct search impressions, call clicks, direction requests) are increasingly the better signal of search-driven business activity because they capture the value that happens before a website visit or instead of one.

What Actually Works to Build AI Search Visibility

Tactical priorities for AI search visibility differ from traditional SEO, but the two approaches do not conflict.

Make your GBP complete, accurate, and active. Gemini’s 100% location data accuracy comes from GBP. Every field, every category, every service description, every photo, every post, this is the database AI systems use. A GBP that’s claimed but sparse is not eligible for the AI recommendations a well-maintained profile is. This isn’t optional groundwork. It’s the primary asset.

Build review volume with thematic specificity. AI systems don’t just count stars, they analyze what reviews say. Reviews that mention specific services, specific outcomes, and specific locations are more algorithmically useful than generic 5-star comments. When requesting reviews, encourage clients to be specific about what they needed and what they got. A review that says “needed same-day service for a burst pipe in my basement in Smithtown, they arrived in 90 minutes and had it fixed in 2 hours” is worth more to AI visibility than “great company, highly recommend.”

Establish citation consistency across the web. AI systems build confidence by cross-referencing multiple sources. Your business information appearing consistently in 40+ directories, association listings, and local mentions creates the entity confidence that gets you recommended. Inconsistent NAP across sources creates doubt that reduces AI recommendation likelihood.

Create content that earns citation. AI systems don’t recommend businesses; they cite sources. Pages on your website that answer specific questions (“What does a Long Island plumbing inspection typically cost?” “How long does a divorce take in Nassau County courts?”) have a chance to be cited in AI Overviews. Content written with genuine expertise, structured clearly, and loaded with specifics earns citations that generic content doesn’t.

NewSunSEO helps Long Island businesses build the kind of comprehensive presence that earns visibility in both traditional and AI search results. If you want to understand where you stand in AI search and what it would take to improve, reach out here.

Wondering if your own business shows up in ChatGPT, Gemini, or Perplexity? Run a free BizScoreAI scan to check what the third-party tool reports as your AI Visibility Score.

Keep your social presence active across platforms with Feedsta, described as an AI social media manager that creates, schedules, and analyzes your posts, so your brand stays visible where customers research your business.

FAQ

Which AI search platform matters most for local businesses?

Gemini matters most for local business visibility at 11%, because it pulls from Google Maps data, giving it 100% location data accuracy. Google AI Overviews appear in 40% of local queries, and ChatGPT surfaces only about 1.2% of local businesses, while Perplexity recommends around 7.4%.

How much harder is it to rank in AI search versus traditional local search?

AI recommendations surface 1.2% to 11% of local businesses depending on platform, compared with Google’s traditional local 3-pack which surfaces about 35.9% of qualifying businesses. AI compresses competition into a much smaller set of winners.

What is the single biggest action a local business can take to improve AI visibility?

Make your Google Business Profile complete, accurate, and active. Gemini’s 100% location data accuracy comes directly from GBP, making it the primary database AI systems use to recommend local businesses.