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Statistics

Local SEO statistics small-business owners should know in 2026

By Sergey Sulimko, Founder14 min read

BrightLocal's 2026 speed study reports that 75% of respondents took less than 30 minutes to decide which local business to use. The same study reports that 72% looked at three or fewer businesses before deciding.1 The practical point is simple: a small business has a short window to look credible when someone is choosing between nearby options.

The evidence below answers different questions about local search, reviews and AI recommendations. Five of the seven evidence pages are BrightLocal studies. Google's page provides first-party local-ranking guidance, and Ahrefs' page provides independent desktop-SERP analysis. The review and AI pages use the same underlying BrightLocal survey, so the sources are not seven independent research programs.

Which local search statistics matter first?

BrightLocal's speed study, published June 24, 2026, used a representative panel of 1,227 US-based consumers who had conducted an online search for a local business in the last three months.1 The findings below describe what those respondents reported.

Question Finding Source What it measures
How many businesses did people compare? 72% looked at three or fewer businesses; 1% looked at more than ten. BrightLocal's speed study1 The number of businesses respondents considered before deciding.
How quickly did people choose? 75% took less than 30 minutes to decide which business to use. BrightLocal's speed study1 Reported time from a local-business search to choosing a business.

The speed study also displays an 84% headline saying that consumers searched online for a local business in the last three months. The same page describes its representative panel as 1,227 US-based consumers who had already conducted such a search in that period. Those statements leave the denominator unclear: the headline describes people who searched in the last three months, while the methodology also defines the panel as people who had searched in that period. This page therefore does not use 84% as an unqualified population estimate.

The remaining speed findings are survey responses, not a timer attached to every search. They give a useful decision-speed boundary, not a universal rule for every customer or trade.

Where does a local search start in 2026?

BrightLocal's channels study, published July 9, 2026, used the same kind of representative panel: 1,227 US-based consumers who had conducted an online search for a local business in the last three months.2 It asked about respondents' latest local-business search journey.

What respondents reported Finding Source What it measures
Device used to start the latest local-business search 73% started on mobile, 19% on a computer and 8% on a tablet. BrightLocal's channel study2 The device used at the beginning of the latest reported search.
First channel used 52% started on Google Search and 9% started on Google Maps. BrightLocal's channel study2 The channel where the latest reported search began.
Google Search's role across the journey 71% used Google Search at some point during the latest local-business search. BrightLocal's channel study2 Whether Google Search appeared anywhere in the reported journey, not only at the start.
Multiple-channel use 75% used more than one channel during the latest local-business search. BrightLocal's channel study2 Self-reported channel use across one search journey.

These findings describe reported journeys, not a universal share of all local searches. A Google Business Profile is one part of a path that can begin on a phone, move through Google Search or Google Maps, and continue elsewhere. The figures do not show that one channel caused a contact or a purchase.

What do people check before they contact a local business?

BrightLocal's decisions study, published July 15, 2026, used a representative panel of 1,227 US-based consumers who had conducted an online search for a local business in the last three months.3 The study reports what respondents considered during research and what happened during their latest reported search.

What respondents reported Finding Source What it measures
Proximity in the research stage 44% looked at the address or how close the business was before clicking to learn more. BrightLocal's decisions study3 A factor respondents considered before clicking through.
Failure to find a suitable business 56% had been unable to find a suitable local business at some point during a search. BrightLocal's decisions study3 A reported search problem, including distance, too few reviews or poor fit.
Viewing without contacting 52% looked at a business during their latest search but decided not to contact it. BrightLocal's decisions study3 Non-contact after viewing, not a measured failure of a specific listing.
Active online management 96% said it was important for a local business to actively manage how it appears online; 33% called it essential. BrightLocal's decisions study3 The importance respondents assigned to a business's online appearance.

These findings describe a choice process, not a ranking formula. Proximity, review count and perceived fit are reported reasons in this panel. They do not establish causal effects on every local-business search.

What do 2026 review statistics say about local-business choices?

Study-level methods note: BrightLocal's Local Consumer Review Survey 2026 used a representative panel of 1,002 US adult consumers via SurveyMonkey and was published on February 11, 2026.4 The review findings are self-reported preferences and expectations. The AI analysis in the next section uses the same survey, with a narrower subset identified there.

Question about reviews Finding Source What it measures
How many reviews feel sufficient to some respondents? 47% would not use a business with fewer than 20 reviews; 9% would use one with five or fewer. BrightLocal's 2026 review survey4 Stated review-count preferences, not a universal minimum.
What rating threshold did respondents name? 68% would only use a business with four or more stars; 31% would only use one with 4.5 stars or more. BrightLocal's 2026 review survey4 Stated minimum star-rating preferences.
How recent do respondents want reviews to be? 74% sought reviews written in the last three months. BrightLocal's 2026 review survey4 A stated preference for review recency.
How do positive and negative reviews relate to stated choice? 85% said positive reviews make them more likely to use a business; 77% said negative reviews make them less likely to choose one. BrightLocal's 2026 review survey4 Reported relationship between review sentiment and choosing a business.
How common was a purchase after reading reviews? 93% had made a purchase after reading reviews; 27% had spent more than $1,000 after reading reviews. BrightLocal's 2026 review survey4 Self-reported purchases and spend after reading reviews, not observed transaction data.
Does responding to reviews matter to stated choice? 80% said they were likely to use a business that responds to all reviews; 42% were unlikely to use one that never replies. BrightLocal's 2026 review survey4 Stated likelihood of using a business based on review responses.
How quickly do respondents expect a reply? 19% expected a same-day response, 32% wanted a response by the following day and 81% expected to hear back within a week. BrightLocal's 2026 review survey4 Expectations about review-response timing.
Where did respondents write reviews? 45% left a Google review in the past year. BrightLocal's 2026 review survey4 The site respondents said they used to write a review during the prior year.

These figures are useful context for what customers may inspect. They do not set a review-count, rating or response-time target for every trade or market. For the practical work of collecting and responding to reviews, see the Google reviews guide.

How often are people using AI for local-business recommendations?

BrightLocal's AI-trust analysis, published March 10, 2026, uses the 1,002-adult Local Consumer Review Survey described above. Its narrower AI-user cut includes 455 respondents who had used an AI tool for local-business recommendations in the last 12 months.5

AI recommendation finding Finding Source What it measures
Use of AI for local-business recommendations 45% used AI for local-business recommendations in the last 12 months, compared with 6% in 2025. BrightLocal's AI-trust analysis5 Self-reported use and the study's year-over-year comparison.
Use of ChatGPT for business recommendations 31% used ChatGPT for business recommendations in the last 12 months. BrightLocal's AI-trust analysis5 Self-reported use of ChatGPT for business recommendations.
Trust in AI recommendations Among the 455 AI users, 63% trusted AI recommendations and 10% expressed distrust. BrightLocal's AI-trust analysis5 Trust among the narrower AI-user cut, not all survey respondents.
Trust in AI review summaries 50% of the full survey population trusted AI summaries of online reviews; the figure was 71% among AI users. BrightLocal's AI-trust analysis5 Trust in summaries of reviews from real people.
What respondents did with an AI review summary 23% were happy to rely only on the summary; 59% checked review profiles for more information. BrightLocal's AI-trust analysis5 Reported behaviour after seeing an AI-generated review summary.
Checking AI-cited reviews or sources 88% of AI users checked whether a cited review was legitimate or checked the source. BrightLocal's AI-trust analysis5 Self-reported fact-checking of AI recommendations.
Checking AI recommendations against reviews 97% of AI users sometimes double-checked AI recommendations against real reviews. BrightLocal's AI-trust analysis5 Self-reported cross-checking among AI users.

The useful boundary is clear: AI recommendations can influence discovery, but many respondents still check the underlying review evidence. The survey does not show that any business will be recommended by an AI system, and it does not establish a recipe for being named by one.

Do AI Overviews appear on most local searches?

No conclusion about a specific business follows from the available AI Overview measurement. Ahrefs analyzed 146,122,391 desktop SERPs collected in September 2025. It found AI Overviews in 7.9% of queries that its system categorized as local searches, compared with 20.5% across all keywords and 22.8% for non-local queries.6

Ahrefs search-corpus observation Finding Corpus, timing and scope
AI Overview presence in local queries 7.9% 146,122,391 desktop SERPs collected in September 2025; local-query category in Ahrefs' internal classification.
AI Overview presence across all keywords 20.5% The same Ahrefs desktop SERP corpus and collection period; overall base rate.
AI Overview presence in non-local queries 22.8% The same Ahrefs desktop SERP corpus and collection period; non-local-query category.

This is Ahrefs' independent observational dataset, not a current rate for every Google search. It is also not a ranking measure for an individual Google Map Pack result or Business Profile. Treat it as evidence about Ahrefs' sampled desktop results, not as a promise or a forecast.

Can a local SEO statistic tell me where my business will rank?

No. Google says there is no way to request or pay for a better local ranking, and it keeps its search-algorithm details confidential. Google says local results are mainly based on relevance, distance and popularity. It also says these factors help it find the best match for a customer's search. Under its Prominence guidance, Google says prominence can reflect how many websites link to a business and how many reviews it has, and that more reviews and positive ratings can help local ranking.7

That guidance answers a different question from the survey tables. A preference for 20 reviews, four stars, recent reviews or replies is not a Google requirement. It is a finding from a particular panel, at a particular time, answering a particular survey question.74

For the broader work of making a local business easier to find, see the local SEO guide. Use these statistics as context for decisions, not as a promised position on Google.

Which familiar local SEO statistic is excluded?

BrightLocal's local SEO statistics roundup repeats a 46% claim that search queries have local intent, but the linked evidence points to a secondary Search Engine Roundtable report rather than an opening primary measurement.8 Because a statistics page should carry a number back to the party that measured it, this page does not present 46% as an established finding.

What do these numbers not tell you?

  • They are not one combined funnel. The speed, channel, decision, review and AI studies ask different questions. Their percentages cannot be multiplied into a lead or purchase rate.
  • Survey answers are not complete behavioural records. BrightLocal's findings record reported preferences, expectations or recollections. They do not observe every search, click, visit, contact or purchase.
  • The samples have boundaries. The BrightLocal studies describe US adults in representative panels. They do not automatically describe every country, age group, business category or service area.
  • Five of the seven evidence pages come from BrightLocal. They are vendor-published survey evidence. Google's page is first-party guidance, and Ahrefs' page is independent desktop-SERP corpus analysis. The sources should not be treated as seven independent research programs.
  • The AI cuts have narrower populations. Trust and fact-checking findings about AI users describe the 455 respondents in that cut, not all 1,002 people in the survey.5
  • The Ahrefs result has a different method and date. It describes sampled desktop SERPs collected in September 2025, with local and non-local categories assigned by Ahrefs. It does not measure a specific Business Profile or every current query.6
  • None of the findings proves causation or guarantees a result. A stated preference for reviews, proximity or a response does not prove that changing one field will produce a particular outcome. Google does not publish a survey threshold for local ranking, and the AI studies do not establish a way to make an AI system recommend a business.75

The excluded 46% example shows why the source and method belong beside every statistic. A precise-looking number without an opening primary measurement is less useful than a smaller set of findings whose sample, date and question are clear.

Common questions about local SEO statistics

What is the most useful local SEO statistic for a small business owner?

Start with the question you need to answer. The 75% finding is useful when you are thinking about decision speed. The 74% review-recency finding is useful when you are thinking about what people want to see in a review profile. Neither is a ranking target.14

Does a business need 20 reviews to appear in Google?

No. The 20-review figure is a stated preference from 47% of respondents in BrightLocal's 2026 survey. Google's guidance does not set 20 reviews as a requirement.74

Is 7.9% the current share of local searches with AI Overviews?

No. 7.9% is Ahrefs' observation in its local-query category across a desktop SERP corpus collected in September 2025. It is not a universal current rate and does not describe the result for one business.6

Are the AI recommendation findings a ranking factor?

No. BrightLocal measured reported AI use, trust and review-checking behaviour. The findings do not reveal Google's ranking system or establish a method for getting an AI recommendation.75

Sources

  1. BrightLocal, "Customers decide on a busines in a matter of minutes": https://www.brightlocal.com/research/consumer-search-behavior-speed/ (published 2026-06-24; representative panel of 1,227 US-based consumers who had conducted an online search for a local business in the last three months; read 2026-09-29).

  2. BrightLocal, "Where are your customers really searching?": https://www.brightlocal.com/research/consumer-search-behavior-channels/ (published 2026-07-09; representative panel of 1,227 US-based consumers who had conducted an online search for a local business in the last three months; read 2026-09-29).

  3. BrightLocal, "What makes consumers choose your business?": https://www.brightlocal.com/research/consumer-search-behavior-decisions/ (published 2026-07-15; representative panel of 1,227 US-based consumers who had conducted an online search for a local business in the last three months; read 2026-09-29).

  4. BrightLocal, "LCRS 2026: Study Shows Reviews Matter More Than Ever": https://www.brightlocal.com/research/local-consumer-review-survey/ (representative panel of 1,002 US adult consumers via SurveyMonkey; published 2026-02-11; read 2026-09-29).

  5. BrightLocal, "Half of consumers are asking AI for business recommendations": https://www.brightlocal.com/research/lcrs-ai-trust/ (published 2026-03-10; analysis of the 1,002-adult Local Consumer Review Survey, including a 455-respondent AI-user subset; read 2026-09-29).

  6. Ahrefs, "What Triggers AI Overviews? 86 Factors and 146 Million SERPs Analyzed": https://ahrefs.com/blog/ai-overview-triggers/ (independent analysis published 2025-11-10 using 146,122,391 desktop SERPs collected in September 2025; read 2026-09-29).

  7. Google Business Profile Help, "Tips to improve your local ranking on Google": https://support.google.com/business/answer/7091?hl=en (first-party guidance read 2026-09-29).

  8. BrightLocal, "35+ Local SEO Statistics You Need for 2026": https://www.brightlocal.com/resources/local-seo-statistics/ (published 2025-01-14; the 46% line points to a secondary report rather than an opening primary measurement; read 2026-09-29).

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