When AI recommends a business, how does it pick?
Half of US shoppers research with AI now, and that traffic converts better. Here is what ChatGPT, Perplexity and Google AI Mode pull from, and how to get named.
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A growing share of buying starts with a question to an AI, not a search box. In a 2025 Adobe survey, 53% of US consumers said they had used AI to research a purchase. Adobe's analysis of more than a trillion retail visits found AI-driven traffic up several times over during the 2025 holiday season, converting roughly a third better than other channels. ChatGPT, Perplexity and Google's AI Mode answer "what should I buy" and "who should I hire" directly. So when the AI recommends someone, how does it pick, and how do you get named?
US consumers, 2025 Adobe survey
AI-driven retail traffic vs other channels
What changed
All three big assistants made shopping and local recommendation a core feature in the last eighteen months.
- ChatGPT added shopping research in 2025, with sourced product details and comparisons. It briefly tested its own checkout, then in March 2026 stepped back to sending people to the merchant's site to buy. (CNBC reported the pivot.) Discovery stayed. Checkout went back to the merchant.
- Perplexity built a shopping flow with in-chat checkout and a free merchant program for retailers to share catalogs, specs and reviews. It leans hard on reviews.
- Google AI Mode pairs Gemini with Google's Shopping Graph of tens of billions of listings. In January 2026 Google announced new Merchant Center attributes and a business-chat agent for conversational queries. (Google's announcement has the detail.)
The common thread. These systems answer from structured data and trusted third-party sources. They do not browse a homepage and form an opinion. They assemble an answer from feeds, profiles, reviews and mentions.
Where the recommendations come from
ChatGPTsourced product research, checkout back on the merchant
Perplexityreferences reviews in nearly every answer
Google AI ModeGemini plus the Shopping GraphWhy it matters
Different game from chasing a blue-link ranking.
The traffic is small but high quality. Most analytics setups do not tag AI referrals yet, so owners cannot see it. But people who arrive after an AI pointed them somewhere show up half-sold. That is why they convert better.
Being recommended runs on two signals: legible to a machine, mentioned by others.
- Data feeds. Not in Google Merchant Center or Perplexity's merchant program means largely invisible to their shopping answers. No feed, no mention.
- Reviews and citations. Perplexity references reviews in close to every product recommendation. Assistants lean on sources they trust: Google reviews and local press for local businesses, G2, Capterra and Reddit for software. (Search Engine Land covers the schema and local angle.) Fifteen stale reviews lose to two hundred fresh ones.
Same lesson as our AI Overviews briefing. Recognition is the currency. If the web barely mentions a business, the model has little reason to name it. The same shows up in how people search for brands by name.
Your move
You do not need every platform. Be clean, fed and reviewed. Five moves, in order.
- Get into the feeds. Sell products? Set up a Google Merchant Center feed and enroll in Perplexity's free merchant program. Biggest lever here. Plumbing, not marketing.
- Fix the Google Business Profile. For anything local, AI surfaces weight a complete, fresh profile: right hours, real photos, current services, recent reviews. To the AI it is your storefront window.
- Make reviews a habit, not a campaign. Ask every happy customer for a Google review. Reviews feed local AI answers and the Map pack, and they are the cheapest signal you own.
- Add the basic schema. LocalBusiness, Product, Review and FAQ markup help the systems parse and trust pages. On a mainstream platform a plugin handles most of it. Tools like Surfer flag where pages are thin.
- Get mentioned where AI reads. Honest third-party listings, a comparison roundup, a Reddit thread where real people vouch for you. You cannot fake this, which is why the AI trusts it. Tools like Semrush map which pages already rank for a category.
Your move this week
The wider shift sits in our AI search topic hub, and ChatGPT shopping discovery goes deeper on the assistant side.
Worth watching
Two things will decide how big this gets.
Where the checkout ends up. OpenAI tried owning it, then handed it back to merchants. Google and Perplexity still push in-chat purchase. If buying inside the assistant becomes normal, the product feed matters more than the website. If it stays on the merchant site, the job is to be the recommendation that earns the click. Same scarce-traffic math as our Meta Advantage+ briefing.
Measurement. Most owners cannot see AI traffic in their analytics, so it is easy to ignore. As tracking catches up, expect more competition for these answers. Getting feeds and reviews right while it is quiet is the cheap version of this work.
Frequently asked questions
Do people really shop through AI assistants now?
Enough to matter. A 2025 Adobe survey found 53% of US consumers had used AI for shopping research, and Adobe measured AI-driven retail traffic up sharply over the 2025 holiday season, converting around a third better than other channels. Not the main channel yet, but growing fast, and the visitors buy.
How does an AI assistant decide which business to recommend?
It pulls from structured product and business data (Google Merchant Center, schema markup, Google Business Profile) and from third-party sources it trusts (reviews, comparison sites, Reddit, press). Perplexity references reviews in nearly every product answer. Missing or messy info makes you easy to skip.
Is this different from normal SEO?
It overlaps but is not the same. Classic SEO chases a ranking position. AI recommendation is about being a clean, well-reviewed, often-mentioned source the model can quote with confidence. Being known and being machine-readable beat a single keyword ranking.
What is the fastest thing a small business can do?
Two things. Get a product feed into Google Merchant Center if you sell products, and build a steady habit of asking happy customers for Google reviews. Both feed directly into what AI surfaces show, and neither needs a developer.
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