NielsenIQ's Agentic Commerce Tracker crossed 50% for the first time in September 2026. For plumbers, dentists, HVAC companies, and lawyers, this changes everything about how you get found.
Ido Cohen · Published 2026-09-25 · AI for Service Business
More than half of American consumers — 51%, to be precise — used an AI-powered tool to help them shop last month. That number, released by NielsenIQ on September 24, 2026, is not just a statistic. It is a threshold crossed. For service businesses, it means the biggest shift in how customers find and choose you since Google replaced the Yellow Pages, and it is happening right now.
The 50% mark is a tipping point, not a trend.
NielsenIQ's Agentic Commerce Tracker — a monthly survey of roughly 500 U.S. consumers — found that 51% of respondents used at least one AI-powered tool to support their shopping in the past month. That is the first time the tracker has crossed the halfway mark. To understand why it matters, compare it against the trajectory: in early 2026, the same tracker was at 42%. The jump happened inside a single calendar year.
NIQ's president of North America, Liz Buchanan, called it "a defining moment for the industry," and she is right — not because the number is 51% instead of 49%, but because crossing 50% signals that AI-assisted decision-making has moved from early adopter territory into mainstream consumer behavior.
The top use cases in the tracker:
Those look like e-commerce behaviors. They are not. Recommendations and comparisons are exactly how consumers are increasingly choosing service providers — plumbers, dentists, HVAC companies, real estate agents, and med spas included.
The NielsenIQ study uses retail-flavored language, but the underlying behavior applies directly to service businesses.
When a homeowner asks ChatGPT "which HVAC company near me has the best reviews," they are using an AI tool to support a purchasing decision. When a patient types "best periodontist in [city] who accepts Delta Dental" into Perplexity, they are doing the same thing. That is AI-assisted shopping for a service, not a product.
BrightLocal's 2026 Local Consumer Review Survey confirmed this directly: 45% of consumers used AI tools for local business recommendations in the past year — up from just 6% in 2025. That is not a gradual trend. That is an avalanche.
Here is what the AI recommendation process actually looks like for a service business:
1. A potential client opens ChatGPT, Gemini, Claude, or Perplexity
2. They ask a natural-language question ("who's the best family law attorney in Phoenix?")
3. The AI pulls from reviews, citations, structured data, and its training corpus to generate a shortlist
4. The consumer calls one or two names from that list — often without ever visiting a traditional search results page
The NielsenIQ finding, combined with BrightLocal's local data, makes the picture unmistakable: AI is now a primary discovery channel for service businesses, and most service business owners are not optimizing for it at all.
NielsenIQ put it plainly: the industry is moving "from search to decision."
In the old model, a consumer Googled "emergency plumber Austin," clicked three results, compared websites, and then called someone. The business's job was to rank on page one and have a decent website.
In the new model, the AI does the comparison for them. The consumer asks a question and gets a recommendation. They make a call or a booking based on that recommendation. The business never shows up in the middle of the process — it either shows up in the AI's answer or it does not show up at all.
This is the shift NielsenIQ's data is capturing. As AI tools take on a growing role in product discovery and decision-making, according to NIQ's own analysis, "product content quality, digital discoverability, and structured product information are becoming as critical to sales performance as traditional merchandising and search visibility." Swap "product" for "service" and that sentence describes your business perfectly.
The practical consequence: the old playbook of "rank for keywords, get clicks, convert" is no longer sufficient. A new playbook is required.
AI tools are not magic. They synthesize existing information sources into a recommendation. That means if your information is wrong, thin, or missing, the AI either ignores you or gets you wrong.
Here is what ChatGPT, Gemini, Perplexity, and Claude actually pull when they recommend a service business:
BrightLocal's research confirmed the mechanism: AI engines like ChatGPT, Gemini, and Perplexity rely on trust signals, NAP consistency, reviews, and structured data to decide which businesses to recommend. Citation gaps and mismatched business information can quietly eliminate a business from AI-generated recommendations, costing leads without any visible warning sign.
The good news: almost none of your local competitors are actively managing these signals for AI visibility yet. The window to get ahead is open — but not for long.
Here is where this story gets practically important for service businesses.
On September 2, NielsenIQ announced a partnership with Similarweb to build a product that will track how brands show up in ChatGPT, Gemini, Google AI Mode, Perplexity, and Claude — and how much traffic and how many sales come from those AI tools. A first version is expected in Q4 2026.
That matters because right now, most service businesses have zero visibility into whether they are being recommended by AI tools at all. You can check your Google Analytics and see organic traffic. You cannot currently see "Claude sent me 12 calls this month."
The NIQ/Similarweb tracker is aimed at large retailers first, but the underlying principle — that AI referral traffic needs to be measured separately from traditional search traffic — is urgent for service businesses too. When that measurement infrastructure arrives, the businesses that built AI visibility early will have a compounding advantage. The ones that waited will be starting from zero.
This is not a "watch this space" situation. The 51% figure means that right now, this week, more than half of your potential customers might be asking AI tools for a recommendation before they ever Google you. Here is what to do immediately:
1. Audit your Google Business Profile — Log in to your GBP and check that your name, address, phone number, website URL, hours, and service categories are 100% current and accurate. This is the single most-cited data source for local AI recommendations.
2. Run an AI visibility spot-check — Open ChatGPT, Gemini, and Perplexity. Type: "Best [your service type] in [your city]." See if you appear. If you do not, that is your baseline problem to solve.
3. Fix NAP inconsistencies across directories — Use a tool like BrightLocal, Whitespark, or Yext to find every listing where your business name, address, or phone number differs from your GBP. Fix them. AI engines cross-reference these sources.
4. Generate 5–10 new Google reviews this month — Ask your last 10 satisfied customers. AI recommendation engines heavily weight recency. A business with 40 reviews from 2024 is less likely to be recommended than one with 60 reviews including 10 from September 2026.
5. Add schema markup to your website — Specifically, LocalBusiness schema with your service area, hours, and contact info. If you are on WordPress, the Rank Math or Yoast plugins do this without requiring a developer.
6. Expand your third-party citation footprint — Make sure you are on the platforms AI tools cite for your industry: Yelp and Angi for home services; Healthgrades and Zocdoc for healthcare; Avvo and Martindale for legal; Houzz for design and remodeling. Each citation is a trust signal.
None of this is expensive. All of it compounds. The service business that starts optimizing for AI recommendations in September 2026 will have a significant head start over every competitor that waits until "AI search" becomes a mainstream marketing conversation — which, given the NielsenIQ data, is probably about three months away.
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Does the NielsenIQ finding about AI shopping apply to service businesses, or just retail?
The NielsenIQ data focused on consumer shopping broadly, but the behavior — using AI tools to get recommendations and compare options — maps directly to how consumers choose service providers. BrightLocal's 2026 Local Consumer Review Survey found that 45% of consumers specifically used AI tools for local business recommendations in the past year, up from just 6% in 2025. If you are a plumber, dentist, attorney, or HVAC company, your customers are asking AI chatbots about you.
Which AI tools are most likely to recommend local service businesses?
ChatGPT, Google Gemini, Perplexity, and Claude are the four platforms that consumers use most frequently for this type of recommendation. Google AI Mode (integrated into Google Search) is also increasingly serving local business suggestions. Each of them pulls from Google Business Profiles, review platforms, directories, and website structured data, so the optimization work is largely the same across all four.
What is the most important thing I can do to show up in AI recommendations?
Review volume and recency are consistently the highest-impact signals for local AI recommendations. A business with recent, detailed, positive reviews on Google is significantly more likely to appear in AI-generated shortlists than one with an outdated or sparse review profile. Start there before anything else. NAP consistency across directories is the second-most important factor.
How is this different from regular SEO?
Traditional SEO optimizes your website to rank in Google's blue-link results. AI visibility optimization — sometimes called AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization) — focuses on getting your business recommended within AI-generated answers. The signals overlap (reviews, citations, structured data), but AI tools do not click on your website the way a human searcher does. They synthesize information about you. That means your off-site presence (reviews, directories, third-party mentions) matters more in AI recommendation than it does in traditional SEO.
Will this trend continue, or could AI shopping flatten out?
NielsenIQ's data shows AI adoption has increased steadily over the past two quarters, and the tracker crossed 50% for the first time in September 2026 — up from 42% in early 2026. The trajectory is accelerating, not flattening. NIQ and Similarweb are already building dedicated measurement infrastructure for AI-driven commerce, and payment networks including Visa and Mastercard are building agent-compatible payment rails. The commercial infrastructure being built around AI-assisted shopping strongly suggests this is a durable shift, not a fad.
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