This page is benchmark data for local businesses, not a live traffic or search-analytics tool.
Last updated: 11 September 2026. Rewritten against current 2026 data from BrightLocal, Backlinko, Shopify, Whitespark, and Ahrefs, with sources linked throughout instead of only named.
Local SEO Statistics 2026 (Quick Answer)
The numbers that actually move local SEO decisions in 2026:
- Local Pack position 1 gets a 17.8% click-through rate, position 2 13.6%, position 3 10.4% (BrightLocal, 2026). Separately, the Local Pack as a whole captures roughly 42% of all clicks on a local results page (Backlinko, 2026), a different measurement from the per-position rates and not a total of them
- A complete Google Business Profile earns 7x more clicks than an incomplete one. BrightLocal's benchmark study of GBP interactions puts the average profile at around 1,260 views and 33 website clicks a month, with 59 total actions (clicks, calls, and direction requests combined) (Google, 2026; BrightLocal Google My Business Insights Study, 2019, analysing 2017-2018 listing data)
- 76% of "near me" mobile searches lead to a business visit within 24 hours, and 78% of local mobile searches convert to an offline purchase (Backlinko, 2026)
- Businesses with 50 or more reviews are 266% more likely to appear in the Local Pack, though the businesses that actually hold a top-three spot average 561 reviews each (BrightLocal, Shopify, 2026)
- Replying to reviews shows no proven direct effect on rankings. It functions as a trust factor instead: 88% of consumers say they'd use a business that replies to all its reviews, against 47% for one that never responds (BrightLocal, 2026)
- AI Overviews now appear on a large share of local business searches and have cut click-through to the top organic result by 34.5% to 58%, depending on which 2026 dataset you look at (Ahrefs, 2026)
Want to know how your business ranks in the Local Pack? Get a local SEO audit or a technical SEO audit, model the upside with the free SEO ROI calculator, or browse the full SEO tools library if you're after live site data instead of benchmarks.
I check Google Business Profile and Search Console data for local clients across Reading and Berkshire most weeks, and I run 44 of my own sites, so I see local search behaviour from both sides of the screen. This page pulls together the local SEO statistics that are genuinely current for 2026, sourced from BrightLocal, Backlinko, Shopify, Whitespark, and Ahrefs, and flags the ones that get recycled every year without a fresh source behind them. It also covers what local SEOs are actually debating right now on forums such as Local Search Forum: whether replying to reviews affects rankings, why a rank tracker can disagree with what you see standing in your own shop, and what AI Overviews have done to the value of a Local Pack win.
Why This Page Looks Different From the 2016 and 2017 Roundups Still Ranking
A lot of the local search statistics results still online date from 2016 or 2017, and Google keeps surfacing this page for people searching that older version of the query. Three things have genuinely moved on since then. AI Overviews did not exist in 2016 or 2017 and now shape a meaningful share of local search results, cutting into organic click-through the way the AI Overviews section below describes. Google Business Profile benchmarking has matured from a single headline multiplier ("7x more clicks") into usable monthly averages (around 1,260 views and 33 website clicks) that a business can check its own profile against. And review-signal weighting inside the Local Pack has shifted from a flat "more reviews is better" rule towards recency-weighted scoring, per Whitespark's year-over-year tracking. This page is not making a blanket claim that every underlying data point is from 2026: it's a claim about the source studies being current, live, and dated as such. Most figures below come from studies published in 2026. A handful of individual data points cite an older underlying baseline even inside a current study, and those are flagged where they appear: the 46% local-intent estimate traces to 2018 (below), the mobile load-time abandonment figure in the AI Overviews section is an older finding still being recirculated without a fresh study behind it, the GBP interaction benchmark above comes from BrightLocal's 2019 study, and the consumer-behaviour research on star ratings and purchase likelihood is from 2017.
How Much of Search Actually Has Local Intent?
46% of all Google searches have local intent. This is the most repeated figure in local SEO, and its origin matters: the estimate traces back to a 2018 Google-adjacent figure that almost every local SEO roundup since has recycled without an updated source, including the previous version of this page. Treat it as a rough proxy for "local search is a large minority of all search," not a precise 2026 measurement (BrightLocal, 2026, citing Google/Search Engine Roundtable, 2018). Some sources report a higher 51% instead. The gap comes from how loosely "local intent" gets defined, whether it includes searches with an implied location versus only those naming one, so treat any figure in the high 40s to low 50s as the same underlying estimate, not a real discrepancy.
More current numbers back the same conclusion from different angles. 84% of consumers searched for a local business in the past three months, and 73% of local searches start on a mobile device, with 56% of all mobile searches carrying some local intent (BrightLocal, 2026). 97% of people check a business's online presence, its Google Business Profile, website, or reviews, before visiting or buying (Shopify, 2026).
For a Reading or Wokingham business, the practical read is simple. Whoever shows up complete and current when someone checks online wins the visit, regardless of how the 46% figure gets sliced.
"Near Me" Search Volume: The Sources Don't Agree, and That's Worth Saying Outright
Published "near me" search volume estimates disagree by a wide margin, which matters because the previous version of this page repeated a number I can no longer verify. Shopify puts current monthly "near me" search volume at around 200 million (Shopify, 2026), a long way from the 1.5 billion figure this page previously cited and couldn't be matched against any 2026 source. Growth estimates diverge by an equally wide margin: Backlinko describes growth of more than 900% in recent years, while Searchlab cites Google Trends data showing roughly 400% growth since 2020 (Backlinko, Searchlab, 2026). Searchlab's own page also states a 35% annual growth rate for the same period, but that doesn't compound to the 400% cumulative figure it's paired with, and neither Searchlab nor Google Trends publishes a primary dataset that reconciles the two, so this page uses the cumulative 400% figure only and drops the annual rate as unverifiable.
Those numbers disagree because they're measuring different things: raw search volume against trend growth, over different date ranges, using different definitions of a "near me" query. A 136% since-2018 growth figure also circulates widely, but I couldn't trace it to a primary source that still publishes it, so it gets the same scepticism as the rest: a plausible-sounding number nobody can currently stand behind. What's consistent across every source that does show its working is the direction. "Near me" search interest has climbed steadily since 2020 and shows no sign of reversing, even as AI Overviews absorb more of the resulting clicks. If a stats page hands you one precise "near me" search volume with total confidence, ask what it's actually counting before you build a strategy around it.
Google Local Pack Statistics: Click-Through Rate by Position
The Local Pack (the three-listing panel with the map, shown above organic results) still decides most local search outcomes. Roughly 42% of clicks on a local results page go to the Local Pack rather than the organic listings below it (Backlinko, 2026). Inside the pack, position matters as much as it does in organic search:
| Local Pack Position | Click-Through Rate |
|---|---|
| Position 1 | 17.8% |
| Position 2 | 13.6% |
| Position 3 | 10.4% |
(Source: BrightLocal, 2026)
Note that these are click-through rates, clicks divided by impressions for that specific position, not a share of total clicks: they can't be added together to produce a "share of clicks" figure, because a share-of-clicks number divides each position's clicks by total clicks across all positions instead, a different denominator. The separate 42% figure above measures something else again: the Local Pack's share of clicks on the whole results page, not a sum of the per-position rates. Fourth place in the Local Pack functions as no place at all, competing with page-two organic for scraps. Every part of a local SEO strategy, including Google Business Profile optimisation, on-page SEO, and review management, should be judged by whether it moves a business toward one of those three positions, not by whether it "helps local visibility" in the abstract.
Map Pack competition has intensified in Reading, Slough, and Bracknell specifically, as more local businesses invest properly in their profiles.
Google Business Profile Statistics: Clicks, Views, and What "Complete" Actually Buys You
A complete Google Business Profile still earns 7x more clicks than an incomplete one, and is 2.7x more likely to be seen as reputable (Google, 2026). The most detailed public breakdown of what a typical profile generates comes from BrightLocal's Google My Business Insights Study: the average profile gets around 1,260 views and 33 website clicks a month, with 59 total actions (website clicks, calls, and direction requests combined). That study is older than the rest of this page's sourcing, published in 2019 from data covering September 2017 to December 2018, but it's still the most current publicly available benchmark of its kind and a usable reference to check your own GBP Insights against, rather than only a headline multiplier with nothing to compare it to.
Only 44% of Google Business Profiles are fully optimised, despite that upside (SOCi, 2026). More than half the businesses relying on GBP for visibility are leaving clicks, calls, and direction requests on the table. Categories, services, a complete description, current opening hours including bank holidays, photos, and Q&A are the checklist. None of it is complicated. Most of it is unfinished on most profiles I audit.
Reviews and Local Pack Rankings: What the Data Shows, and Where Practitioners Disagree
97-98% of consumers read reviews before choosing a local business, and 88% say they trust online reviews as much as a personal recommendation (BrightLocal, Shopify, 2026). Businesses with 50 or more reviews are 266% more likely to appear in the Local Pack, and the businesses that actually hold a top-three position average 561 reviews each (BrightLocal, Shopify, 2026). Crossing a review-count threshold matters more than most business owners assume. Chasing hundreds more matters less than most review-management vendors claim.
Star rating has a ceiling most people get backwards, though this next part is about conversion, not the ranking algorithm. The most-cited research here is a Spiegel Research Center (Northwestern University) study of ecommerce purchase behaviour, from 2017 but still the reference point nearly every 2026 local-SEO source borrows: purchase likelihood peaked with an average rating between 4.0 and 4.7, then dropped slightly as ratings approached a perfect 5.0, because a spotless rating reads as fake to buyers (Spiegel Research Center, Northwestern, 2017). It was never a study of Local Pack ranking, and I haven't found a local-search-specific replication of it, but the underlying consumer-trust logic (a flawless rating looks curated) plausibly carries over to whether someone calls a business once they've found it. Treat it as a conversion signal to watch, not a ranking lever.
Review signals have grown from roughly 16% to 20% of Local Pack ranking weight since 2023, and recency is increasingly weighted over raw count: a business with a steady trickle of recent reviews can outrank one sitting on a larger but ageing pile. That comes from Whitespark's annual local ranking factors survey, one of the few sources that tracks year-over-year change rather than restating the same figure every January (Whitespark, 2026).
Replying to reviews is not itself a ranking factor, according to the consensus among experienced local SEOs on Local Search Forum. Nobody in that discussion could point to evidence that reply activity moves rankings directly, a live debate most stats pages skip past by asserting an answer without checking it first. What it does do is convert: 88% of consumers say they'd use a business that replies to all its reviews, against 47% for one that never responds, a 41-point gap in willingness to buy (BrightLocal, 2026). Reply because it wins the customer reading it, not because you're chasing an algorithmic boost the evidence doesn't support (Local Search Forum, 2026).
Competitor profiles sometimes carry a high "Local Guide" level with almost no visible review history, a gaming pattern flagged in threads on that same forum. Local Guide status can be built largely through photo uploads rather than genuine reviews, so a high guide level next to a thin review count isn't proof of a fake profile on its own. It's worth checking before assuming a competitor has earned more reviews than you through better follow-up alone (Local Search Forum, 2026).
Why Your Own Search Doesn't Always Match What a Rank Tracker Shows
A business owner in a Local Search Forum thread searched for their own service standing inside their own shop and found themselves on page four of Google Maps, while a professional grid-based rank tracker showed them ranking first for the same term at the same location. Both readings were technically correct, and the mismatch comes up constantly with local business owners checking their own visibility.
Two things explain the gap. First, personalisation: if you or your staff search your own business repeatedly without clicking through to a competitor, Google can start treating that competitor's result as more relevant to you specifically. That's the opposite of what you'd expect. Second, location signal noise: a phone blends GPS, wifi, cell-tower triangulation, and IP address to guess where you are, and none of that is as precise or as controllable as the fixed coordinates a grid-tracking tool uses (Local Search Forum, 2026).
The practical takeaway: if you want to know where your business actually ranks, use a grid-based local rank tracker, or check from a clean, logged-out browser. Don't trust your own phone with years of search history attached to it.
Mobile and AI Overviews: How People Actually Search Local Now
73% of local searches now start on mobile, and mobile local behaviour still punishes slow sites hard: 53% of mobile users abandon a page that takes longer than three seconds to load (Google, "Find Out How You Stack Up to New Industry Benchmarks for Mobile Page Speed", 2016). That finding is a decade old, one of the oldest data points on this page, but it hasn't stopped catching out Berkshire businesses running older WordPress builds with unoptimised images.
What has changed is what happens after someone reaches the results page. AI Overviews now appear on roughly 40% of local business searches, though the exact share varies by source and query type (Shopify, 2026), and a growing minority skip search results entirely: one 2026 survey found 45% of consumers have used a tool such as ChatGPT to get a local business recommendation (BrightLocal, 2026). Ahrefs' ongoing study of AI Overview impact found click-through to the top organic result fell 34.5% in its initial 300,000-keyword sample, widening to 58% by December 2025 data (Ahrefs, 2026).
A Local Pack listing sits outside that organic snippet, which is one reason GBP visibility matters more now, not less. Content built to answer a question directly, not to rank for a keyword alone, is increasingly what gets cited when an AI Overview does the answering instead of the click. A site built for local search still outperforms a patched legacy build on mobile, independent of ranking position or AI citation.
What This Means If You're Running a Local Business in Berkshire
Prioritise in this order, based on where the evidence and the return are clearest:
- Finish the Google Business Profile. The 7x click gap and the fact that 56% of profiles aren't fully optimised make this the highest-return hour available to most local businesses.
- Fix review recency, not review count alone. A steady trickle beats a stalled pile. Don't chase a perfect 5.0. Reply to reviews for the customer reading them, not for a ranking effect the evidence doesn't support.
- Get mobile speed under three seconds. More than half of local traffic is mobile, and more than half of that will leave a slow page before it converts.
- Check rankings with a grid tool, not your own phone. Personalisation and location noise will lie to you.
- Write for the question, not the keyword alone. AI Overviews are taking a growing share of organic clicks. Being the cited source matters as much as holding position one now.
For town-specific approaches, see SEO in Reading, SEO in Wokingham, SEO in Slough, SEO in Bracknell, SEO in Maidenhead, and SEO across Berkshire. The full strategy sits in the Local SEO Berkshire Guide.
Sources
- BrightLocal, Local SEO Statistics 2026, Local Pack CTR by position, review trust and threshold data
- BrightLocal, Google My Business Insights Study, GBP interaction averages (published 2019, analysing 2017-2018 listing data)
- Backlinko, Local SEO Statistics, near-me visit and purchase rates, Local Pack share of total clicks, near-me growth trend
- Google, Find Out How You Stack Up to New Industry Benchmarks for Mobile Page Speed, mobile load-time abandonment rate (2016)
- Shopify, Local SEO Statistics 2026, near-me search volume, online-presence check rate, AI Overview trigger rate, top-3 average review count
- Searchlab, Local SEO Statistics 2026, mobile local search share, near-me Google Trends growth
- Whitespark, Local Search Ranking Factors Report 2026, review signal ranking weight, recency versus count
- SOCi, Local SEO Statistics, Google Business Profile optimisation rate
- Ahrefs, AI Overviews Reduce Clicks by 34.5%, organic CTR impact study
- Spiegel Research Center, Northwestern University, How Online Reviews Influence Sales, star rating and purchase likelihood
- Local Search Forum, practitioner discussion on review replies, rank tracker discrepancies, and review gaming patterns
Related Articles
- Local SEO Berkshire Guide, local SEO strategy for Berkshire businesses
- Local SEO Services, professional local SEO services
- SEO Statistics UK 2026, broader SEO industry data
- How Long Does SEO Take?, realistic local SEO timelines
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