AI search news ·
Half of consumers now ask AI for business recommendations. Two-thirds of local businesses appear in none of the answers.
BrightLocal's Local Consumer Review Survey 2026 — a 1,002-consumer US panel, AI findings published 2026-03-10 — measured the demand side of AI search: 45% of consumers have asked an AI tool for a business recommendation, up from 6% in the 2025 wave, making AI the #3 discovery channel ahead of Yelp and Tripadvisor. Today we re-measured the supply side on our own production corpus: across 179 audited local businesses and 707 unbranded buyer answers from ChatGPT and Perplexity, the audited business is named in 14.9% of answers — and 120 of 179 businesses (67.0%) are named in zero of theirs. The customers moved. Most businesses haven't noticed where.
Primary source: BrightLocal — Local Consumer Review Survey 2026 (AI findings, published 2026-03-10)
The demand side: BrightLocal's numbers, and their dates
The dates matter, so first things first: BrightLocal's Local Consumer Review Survey 2026 was published 2026-02-11, and its AI cut, “Half of consumers are asking AI for business recommendations”, on 2026-03-10. This is not this week's news — it is the best demand-side measurement in local search, and we are pairing it with a supply-side measurement we took today. Method, stated on BrightLocal's own page: n = 1,002 US adult consumers via a SurveyMonkey age-representative panel; the AI questions run on the 455 respondents who used AI for local business recommendations in the past 12 months.
| BrightLocal finding (first-party, 2026 wave) | Number |
|---|---|
| Have asked an AI tool for a business recommendation | 45% (was 6% in the 2025 wave) |
| Rank as a discovery channel | #3 — behind Google and Facebook, ahead of Yelp and Tripadvisor |
| Used ChatGPT for local recommendations, past 12 months | 31% |
| Used Google AI Mode, past 12 months | 23% |
| Adoption, ages 30–44 / ages 60+ | 64% / 24% |
| AI users who trust AI recommendations | 63% |
| AI users who trust them as much as traditional reviews | 64% |
| AI users who fact-check the recommendation | 88% (51% check the review is legitimate, 37% check the source) |
The supply side: we re-measured it this morning
Every AskedAbout audit asks ChatGPT and Perplexity the questions a buyer actually types — “I'm looking for a med spa in Austin, who do you recommend and why?” — and records the verbatim answers. This morning (2026-08-03) we took a fresh cut of the full production corpus: 179 completed audits of real local businesses (med spas, dentists, personal-injury law, home services) and 1,060 answers. We count only the 707 unbranded answers — the ones whose prompt does not contain the business's name — because the third prompt of every audit names the business and would guarantee a hit. Matching is word-boundary, not substring, with hand-adjudicated rejections, so these rates are floors, not estimates.
| Supply-side result (our corpus, cut 2026-08-03) | Number |
|---|---|
| Unbranded buyer answers naming the audited business | 105 of 707 (14.9%) |
| Businesses named in ZERO of their unbranded answers | 120 of 179 (67.0%) |
| Businesses named in ALL of their unbranded answers | 6 of 179 (3.4%) |
| ChatGPT / Perplexity naming rate | 13.9% / 15.8% |
Put the two halves together and the arithmetic is uncomfortable: the channel 45% of consumers now use simply does not surface two-thirds of the local businesses we have measured. This is not a long-tail phenomenon where everyone gets a small slice — the distribution is concentrated absence. 120 of 179 businesses appear in none of their buyer answers, 29 appear in exactly one, and just 6 appear in every answer we sampled. The engines are not spreading recommendations around; they are repeating a short list, an effect we measured directly in our brand-reappearance study (already-surfaced businesses get re-surfaced at 3.5× the rate).
The least-quoted number is the most actionable one
Everyone quotes BrightLocal's 45%. Almost nobody quotes the 88%: among consumers who get an AI recommendation, 88% fact-check it — 51% to see whether a review is legitimate, 37% to see the source. An AI mention is not the end of the funnel; it is a referral into your reviews and the pages the engine cited. That means the citation layer — which sources the engine linked when it named you — is not SEO trivia, it is the surface a majority of your AI-referred customers actually inspect before calling. Being named by an engine that cites a thin directory page is a different outcome from being named next to your own site.
Limits, on both halves
- BrightLocal's numbers are self-reported survey data — n = 1,002 via an online panel, and the AI-specific figures rest on the 455-respondent subsample. Surveys measure what people say they do; the 6%→45% jump partly reflects AI answers becoming ambient in interfaces people already used.
- Our corpus is 4 verticals of US local SMBs on two engines with fixed prompts — 179 businesses is a real sample, not the economy. Verticals differ; our 10-business benchmark shows the spread.
- The two datasets measure different populations — BrightLocal sampled consumers, we sampled businesses. Pairing them is arithmetic about a channel, not a joint study.
- We have a commercial interest. We sell the audit that produces the supply-side number. Every figure above is reproducible from the corpus, and the method (unbranded-only denominator, word-boundary matching, hand-adjudicated rejections) is published precisely so it can be checked.
The takeaway
For a local business, the question stopped being “should I care about AI search” — 45% of your customers are already asking, and two-thirds of businesses like you are invisible when they do. The first step costs 60 seconds: check which engines name your business and which sources they cite. For agencies, the demand-side survey plus a client-by-client supply-side measurement is the pitch deck writing itself — the 5-pack exists for exactly that.
See your number
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Running this for clients? The $249 agency 5-pack audits five businesses, white-labeled.
Who runs this
- Built and operated by Sensara LLC, Atlanta, Georgia — about us and how the audit works.
- See what the report looks like before you run anything — score per engine, the competitors AI names instead of you, and a fix plan.
- We run the same audit on ourselves every week and publish the result: in the latest run AI named AskedAbout in 1 of 144 answers. We report our own numbers the way we report yours.