Of 20 well-known local businesses we tested across 11 categories and 9 U.S. cities, AI answer engines actually named only 8 — just 40% — when asked for the best in their city. The strongest predictor of being named wasn't brand fame: it was being a distinctive, review-rich local destination. Every national franchise we tested was skipped.
Why we ran this study
People keep telling us “AI obviously recommends the big names.” We wanted to know if that's true — so instead of guessing, we measured it. Recommd runs live, grounded queries against AI answer engines for any business, so we have the one thing most AEO commentary lacks: real, first-party data on who AI names and who it doesn't.
We deliberately picked businesses a person would recognize — household coffee roasters, a national gym chain, famous bakeries and barbecue joints, well-advertised franchise dentists and med spas. If fame guaranteed an AI recommendation, these names should sweep. They didn't.
Methodology
- 20 businesses, each a real, recognizable operator, across 11 categories: coffee shops, gyms & fitness studios, dentists, med spas, law firms, plumbers, hair salons, auto repair, bakeries, and restaurants.
- 9 cities: San Francisco, New York, Los Angeles, Chicago, Austin, Miami, Seattle, Denver, Dallas, Houston, Phoenix, Portland, and Orlando.
- 3 engines per audit: a grounded AI search, ChatGPT, and Perplexity — each asked the customer's real question, “best [category] in [city].”
- Scored 0–100 on whether the business was named in the AI's recommendation, with the count of competitors the AI named instead recorded for each.
- Dates: all audits run on June 20, 2026 via the live Recommd API. Every number below traces to an actual engine response — none are estimated.
The headline numbers
of well-known businesses were actually named by AI when asked for the best in their city (8 of 20). The other 60% were familiar to a person but invisible to the AI's recommendation.
average AI-visibility score across all 20 — a clean split: 8 scored “Strong” (named) and 12 scored “Visible” (exists in the AI's world, but not recommended).
named by the AI per query on average (range 8–17). When you aren't in the answer, you're losing to a crowded short list the customer never scrolls past.
Results by category
We're reporting at the category level rather than naming any single business as “invisible” — but the spread is stark. Food and drink categories dominated; service and franchise categories were shut out entirely.
Named high-scorers included Sightglass and Stumptown (coffee), Tartine and Levain (bakery), Franklin Barbecue (restaurant), Equinox and Barry's Bootcamp (fitness), and Benjamin Franklin Plumbing (plumber) — all earned a perfect 100. The 0-of-N categories were every national service franchise we tested.
Three patterns the data actually supports
- 1. Being well-known ≠ being recommended
60% of these recognizable names were not in the AI's answer. A customer who asks an AI for the best option in town simply never hears them. Brand recall in a human's head is a different system from source-grounded confidence in an engine — and only the latter gets you named.
- 2. National chains underperformed local independents
Every national franchise we tested — across dental, hair, auto repair, and med spa — was skipped, while distinctive local food-and-drink operators were named consistently. The likely reason: a chain location often has a generic, interchangeable local listing, while a beloved local spot has the city-specific reviews and “best of” mentions the engine quotes. For AI's local picks, being distinctive in this city beats being big everywhere.
- 3. The gap is between “exists in AI” and “recommended by AI”
Not one business scored zero — the AI knew all 20 existed. The split was binary: named (Strong) or known-but-skipped (Visible). That gap is the whole game. Closing it isn't about getting the AI to discover you; it's about giving it enough recent, consistent, city-specific signal to feel safe putting your name in the answer.
What this means if you run a local business
The reassuring read: you do not have to out-spend a national chain to win the AI recommendation — several got beaten by independents in this study. The uncomfortable read: assuming you're named because you're established is exactly the trap most of these brands fell into. The only way to know is to ask the AI your customers' question and see who it names.
If you're in the 60% that's known-but-skipped, the fix is rarely mysterious. It's a complete Google Business Profile, a steady flow of recent reviews, presence in local “best of” roundups, and identical name/address/phone everywhere — the same sources the engine reads to build its answer.
Recommd queries the same three engines with your customers' real question, scores your AI visibility 0–100, shows whether you were named, how many competitors got picked instead, and a personalized fix plan. This is the exact audit that produced the data above.
Run my free AI-visibility audit →Keep reading
- How to show up when people ask AI for the best business in their city — the four fixes that move you from skipped to named.
- Why AI recommends your competitor instead of you — the source-level reasons behind the 60%.
- Which sources do AI assistants trust? — exactly where to be present.
- The full AEO guide — SEO vs AEO and how to improve your visibility.
Frequently asked questions
- How many well-known businesses does AI actually recommend?
In our June 2026 study of 20 recognizable local businesses across 11 categories and 9 cities, only 40% (8 of 20) were actually named when AI answer engines were asked for the best business in their city. The other 60% were familiar to a human but invisible to the AI's recommendation, even though many of them are large national brands. - Does being a famous national chain help you show up in AI answers?
Our data suggests the opposite for local 'best of' queries. Every national franchise we tested — including well-known dental, hair, auto-repair, and med-spa chains — was NOT named, while independent local operators in food and drink categories were named consistently. AI answer engines reward locally-distinctive, well-reviewed businesses over generic chain locations. - Why would a well-known business not be recommended by AI?
Being recognizable to people is not the same as being recommended by an AI. The engine assembles its answer from sources it trusts for a specific city and category — primarily a complete Google Business Profile, recent reviews, and local roundups. A national brand with a thin or generic local listing simply doesn't give the engine enough city-specific signal to name it over a distinctive local competitor. - Which business categories perform best in AI recommendations?
In our study, food and drink categories performed best: bakeries (named 2 of 2), restaurants and coffee shops scored highest on average. Service and franchise-heavy categories — dentists, med spas, hair salons, and auto repair — were named 0 times across 8 businesses tested. The pattern: distinctive, review-rich local destinations beat interchangeable service locations. - How do I check if AI recommends my business?
Run the same test we did: Recommd queries three AI engines with your customers' actual question ('best [category] in [city]'), scores your AI visibility 0–100, shows whether you were named, how many competitors got picked instead, and a personalized fix plan. The first audit is free.
Methodology note: 20 businesses audited via the live Recommd API on June 20, 2026. Each audit queries three AI answer engines (a grounded AI search, ChatGPT, and Perplexity) and records whether the business was named, its 0–100 visibility score, and the number of competitors named. Per-business non-named results are reported in aggregate by category; named high-scorers are cited positively.