2026 Google Local Ranking Factors

2026 Local Ranking Factors. This is built on my own research and testing: a bird's-eye view of thousands of campaigns running across the software platforms agencies work in, the Google Business Profiles we manage day to day, the SEO we deliver through our white label agency, and conversations with hundreds of agency owners through 2026.

I have set that experience against the 2026 practitioner survey of 187 ranking factors and against six independent studies covering more than 60 million measured search results. Where the field and the data agree, you can move budget with confidence. Where they part company, I say so.

Five years ago, ranking locally came down to one question: does the business show up in the local pack. That question still matters, and a second one now sits beside it. AI answer engines pick businesses using a different mix of signals, so a business can hold the top of the map and stay invisible in the place where a growing share of buyers ask first.

This page covers both. It also covers the two surfaces that get skipped in most write-ups, local organic results and Local Services Ads, because for a lot of service businesses those are where the leads actually arrive.

Every figure and chart on this page carries a numbered reference. The number links to the study, its sample size and its publication date in the sources list at the foot of the page.

Share of ranking weight each signal group is estimated to carry on each surface. Each column totals 100 percent. Tap the chart to open it full size.

What this page is built on

Alongside the field view, the second layer is the 2026 practitioner survey data, in which 47 local search specialists scored 187 individual factors, each one rated four separate ways: local pack and Maps impact, local organic impact, conversion impact, and AI search visibility, which is scored for the first time this year.1

The measured datasets behind the analysis on this page:

• 50.4 million US search results across 1,993 business categories, measuring what businesses sitting in the local three-pack actually have, January 2026.6
• 189,905 ChatGPT results compared against 16.4 million Google results for the same queries, March 2026.7
• 10,000 US businesses measured against Google's AI recommendations, June 2026.8
• 1.8 million Google Business Profiles across 4,209 categories, on category selection and profile completeness, plus a separate analysis of 1.4 million listings across 17 industries on keywords in business titles, 2026.23
• 8,186 businesses across 200 cities, testing plumber, HVAC, locksmith, garage door repair and lawn care queries, November 2025.5
• 8.7 million Google search results, read across more than 200 structured data points covering six verticals and 2,500 ZIP codes, August 2025.9

Consumer behavior figures come from three 2026 surveys of US consumers.101112 Every number on this page carries a numbered citation, and the source list at the bottom gives the sample size and publication date for each one.

What Google says, and what Google quietly stopped saying

Google publishes one short help page on local ranking. It names three things: relevance, meaning how well a Business Profile matches the search; distance, meaning how far each business sits from the searcher or the location in the query; and prominence, which the page also calls popularity, meaning how well known the business is. It states that more reviews and positive ratings can help local ranking, and that there is no way to request or pay for a better local position.14

One detail matters for anyone budgeting local SEO work. In July 2025 Google rewrote that page and deleted a sentence that had been part of the prominence description for years, the one saying your position in web results is also a factor and that SEO best practices therefore apply. The documentation now points prominence at links and reviews.15

Reading that change as a demotion of organic SEO would be a mistake. The 2026 factor data puts on-page signals at 33 percent of local organic weight and link signals at 24 percent, and the single highest-scoring organic factor is a dedicated page for each service.1 The documentation got shorter. The work did not.

Three surfaces, three different weightings

The chart at the top of this page is the clearest finding in the 2026 data: the same business needs three different emphases depending on which surface it wants to win. Google Business Profile signals carry 32 percent of local pack weight and 7 percent of local organic weight. On-page signals run the other way, 15 percent in the pack and 33 percent in organic. Citations sit at 6 percent in the pack, then jump to 13 percent for AI visibility.1

Two shifts are worth naming. Review signals gained weight in the pack since the 2023 edition and now sit at 20 percent, second only to the Profile itself. Citation signals continued a decline that has run for most of a decade in the pack, then turned up as one of the strongest inputs to AI visibility.1

Local pack and Maps: the top 20 factors

Eight of the top ten come straight off the Google Business Profile. Three factors in the top ten were absent from the 2023 top ten, and two of those three, business hours and address visibility, are new to the survey in this edition.1

2026 score2023 score

1. Primary GBP category227193

2. Proximity of address to the point of search225176

3. Keywords in the GBP business title223181

4. Physical address in the city of search213170

5. Business is open at the time of searchNew to top 10189

6. High numerical Google ratings (4 to 5 stars)181138

7. Address is showing on the GBP, not hidden as a service area businessNew to top 10176

8. Additional GBP categories173134

9. Quantity of native Google reviews with text170128

10. Proper placement of the map pinNew to top 10165

Every returning factor in the top ten scored higher in 2026 than it did in 2023.

Ranks 11 through 20 fill in the rest of the picture:

Two factors fell a long way out of the top ten. Spam fighting, meaning the active removal of competitors' fake listings, went from fifth in 2023 to nineteenth. Having a verified Profile went from ninth to twenty-ninth, which reads less like verification losing power and more like verification becoming table stakes.1

Categories: the largest lever anyone actually controls

Proximity sits at number two and cannot be changed without moving the business. The primary category sits at number one and takes about thirty seconds to change, which makes it the most valuable setting in local search.

An analysis of 1.8 million Google Business Profiles spanning 4,209 categories put numbers on it. Businesses using a specific primary category rather than a generic one showed roughly 36 percent higher presence in the top ten local results, and adding relevant additional categories was associated with ranking improvements of 6 to 17 positions.2

The practical failure is choosing a category that describes an industry rather than a job. "Contractor" describes an industry. "Electrician" describes what someone types. Nobody searches for a service establishment.

• Set the primary category to the single highest-value service, named the way a customer would name it.
• Add every additional category that genuinely applies, and stop there. Adding categories from unrelated industries scores as a negative factor in its own right, at 125 for negative impact with a suspension risk score of 80.1
• Check the categories your top three competitors use in the markets where they outrank you, since category sets differ by city more than most owners expect.

Business hours became a ranking factor

"Business is open at the time of search" entered the survey at number five with a score of 189.1 Rankings soften as closing time approaches and drop once the business closes, and open competitors take the positions. For a restaurant that behavior makes sense. For an attorney fielding a question at 10pm it makes very little sense, and the result is the same either way.

Hours carry weight on the conversion side too, where "proper hours set on the GBP" scores 152 and "business is open at the time of search" scores 171.1 A profile showing closed loses the click as well as the position.

• Match listed hours to real answering capacity rather than to a form filled in years ago.
• For dispatch and appointment businesses with genuine round-the-clock call answering, set hours to reflect that coverage. Moving to a 24-hour model when the business is not authentically open around the clock can get the listing suspended, and callers will expect an answer at every hour listed.4
• Load holiday hours ahead of the date. A profile flagged closed on a busy holiday gives up that day's visibility.
• Never inflate hours for a business customers walk into. The reviews and the guidelines both catch up.

The service area address problem, and why both answers look right

This is the most contradictory finding in the 2026 data, and it is worth working through carefully because it affects every service area business.

A visible address on the Profile scored as the seventh strongest local pack factor, at 176.1 Google's guidelines tell service area businesses to hide their address. The same survey scores showing an address when the business is a service area business as a negative factor, with a negative impact score of 39 and a suspension risk score of 105, one of the higher suspension risks in the set.1

Independent testing lands on the same tension from the other direction. A study of 8,186 businesses across 200 cities found a negative correlation between hiding the address and ranking well in the local pack. In an accompanying client test, hiding the address at one location caused rankings to drop sharply, and restoring the address about a month later brought them back. A second location repeated the pattern.5

What that means in practice:

• Before removing an address, run a wide ranking grid so there is a baseline to compare against.
• After removing it, scan wide rather than only across the target area. Rankings that vanish locally have often relocated.
• Check where the pin actually sits. Geocoding resolves an address into coordinates, and an address it cannot resolve cleanly can land the pin away from the building, which is then where the business ranks from.1
• A business that moved locations and then hid its address is the highest-risk version of this, since the anchor can revert to the original verified location.4

Proper placement of the map pin entered the top ten in its own right at number ten, scoring 165, and an incorrectly placed marker scores 164 for negative impact with a suspension risk of 84.1 The pin is doing more work than its reputation suggests.

Reviews: recency now outranks lifetime total

Review signals reached 20 percent of local pack weight in 2026. The internal order changed more than the group total did.1

Recency of reviews ranked 93rd in the 2023 edition. In 2026 it ranks 11th with a score of 164, a climb of 82 places, and a sustained flow of reviews over time rather than bursts ranks 14th at 154.1

The live testing points the same way and puts a number on it. The count of reviews received in the current month mattered more than the lifetime total. One practice receiving more than 60 reviews a month lost rankings after 18 days without a new one, while competitors bringing in 15 to 45 a month held their positions.5

A third dataset, built from more than 200 structured data points across 8.7 million Google results, reached the same conclusion from another direction: review engagement, meaning both volume and responsiveness, was the most consistent driver of local pack visibility across every industry and region examined. Owner response lag showed up as the one modestly negative factor.9

Three independent methods agreeing is about as close to settled as local search gets. Review generation is an operating rhythm rather than a campaign.

How many reviews is enough

Measured across 50.4 million US search results in 1,993 categories, the median business appearing in the local three-pack has 47 reviews, and ratings cluster tightly between 4.5 and 4.9 stars. Urban businesses face three to five times the competition rural ones do, which makes the benchmark a category and market question rather than a universal number.6

The useful framing is a three-point benchmark: an entry-level count that makes a business competitive at all, a median that matches typical winners, and a 90th percentile that marks the businesses dominating the field.6 Aiming at the median in your own category and market beats chasing a round number borrowed from another industry.

Two further details from the survey and the testing. Reviews with text carry more ranking weight than ratings left without text, which the survey reflects by scoring native Google reviews with text at 170.1 And low ratings cut hard in the other direction: ratings of 1 to 2 stars score 168 for negative impact.1

Profile completeness, measured

Completeness of the Profile scores 147 in the pack and 137 for conversion, which places it in the second tier of the survey rather than the first.1 The measured data suggests the survey is being conservative.

The same 1.8 million Profile analysis scored completeness on a five-point index covering website, description, hours, photos and claimed status. Moving from 0 to 5 on that index improved average rank by roughly 19 positions and tripled the rate of appearing in the top ten results.2

It also found completeness varies systematically by industry. Businesses in competitive fields where local search decides the outcome keep the most complete Profiles.2 A half-finished Profile in a competitive category is a gap a competitor has already closed.

Local organic: the website is carrying more weight

On-page signals account for 33 percent of local organic weight and link signals 24 percent.1 Every one of the top seven organic factors scored higher in 2026 than in 2023.

The top factor is a dedicated page for each service, at 210, up from 163 in 2023. It also ranks second for AI visibility at 170 and eighth for conversion at 159, which makes it the only factor in the entire study that sits near the top of three separate lists.1

The structure the list describes is specific. One page per service, each anchored to the geography it serves, connected by internal links that use the terms people search, on a site whose focus reads as a single niche rather than a catalog. Internal linking across the whole site scores 174, degree of niche focus scores 169, and both outrank several link-building factors.1

One factor moved sharply the other way. Volume of quality content on service pages fell to 17th at 154, having been considerably higher in previous editions.1 Padding a service page to hit a word count stopped paying. Answering the question early, then structuring the page so a reader can find the part they came for, is what the 2026 data rewards, and it happens to be what AI retrieval needs as well. Scannable content structure across the website scores 137 for AI visibility.1

AI search visibility runs on different fuel

This edition scored AI visibility for the first time, and the result reorders priorities that had been stable for years.

The highest-scoring AI visibility factor across all 187, at 179, is the presence of the business on expert-curated best-of and similar lists. Three of the top seven are citation factors. Unstructured citations, meaning newspaper articles, blog posts, government sites and industry association pages, score 160 for quality and 147 for quantity. Unlinked brand mentions score 135.1

Set against 6 percent of local pack weight for citations, and 13 percent for AI visibility, this is the clearest strategic divergence in the report.1 Mentions now do for AI answers roughly what links did for organic rankings a decade ago.

1. Presence of the business on expert-curated best-of and similar lists179

2. Dedicated page for each service170

3. Prominence on key industry-relevant domains167

4. Quality and authority of unstructured citations: newspaper articles, blog posts, government sites, industry associations160

5. Authority of third-party sites where reviews are present156

6. Geographic keyword relevance of content153

7. Quantity of unstructured citations: newspaper articles, blog posts147

8. High numerical Google ratings (4 to 5 stars)146

9. Website's degree of focus on a specific niche138

10. Scannable content structure across the entire website137

Scored for the first time in this edition. Citation and reputation factors occupy most of the top ten, a reversal of their position in the local pack.

Ranks 11 through 25 continue the pattern:

How bad the visibility gap actually is

The survey data says what practitioners believe moves AI visibility. Separate measurement work counted who is actually in there, and the numbers are stark.

83%

never appeared in ChatGPT results

14%

never appeared in Google local results

189,905 ChatGPT results compared with 16.4 million Google results for the same queries, March 2026.

A follow-up index of 10,000 US businesses published in June 2026 found 74.9 percent never appear in Google's AI recommendations, including businesses with strong ratings and more than 1,000 reviews.8 One case in the March study was a business with 1,005 reviews and a 4.8 star rating that was invisible in more than half of ChatGPT queries while dominating Google locally.7

The structural point behind those numbers matters more than the numbers. A results page lists ten options and lets the searcher choose. An AI answer names one or two. There is no position five and no page two, so the outcome is closer to binary than to a ranking, and Google performance does not transfer across on its own.7

The same gap shows up at enterprise scale. Across nearly 350,000 business locations spanning 2,751 multi-location brands, measured against ChatGPT, Gemini, Perplexity and AI Overviews, the assistants recommended somewhere between roughly 1 percent and 11 percent of locations, and AI visibility was estimated to be three to thirty times harder to achieve than ranking well in traditional local search. In retail, only 45 percent of the brands most visible in traditional local search were also among those most frequently recommended by AI platforms.13

One finding from that work lines up with the survey data in a way worth noting. It found the business website outranking the Google Business Profile as the source that determined whether a business appeared in AI answers at all.13 The practitioner survey, reached by a completely different method, puts on-page signals at 24 percent of AI visibility weight, the largest single group, against 12 percent for Profile signals.1 For the local pack those two numbers are almost exactly reversed.

What the two datasets agree on

Putting the survey and the measurement side by side gives a usable priority order:

• Earn genuine best-of and roundup placements. The top-scoring AI factor, and the one most local businesses have never pursued. One relevant list in the right industry publication carries further than a batch of general directory entries.1
• Rebuild citations where they count. Industry-relevant domains score 133 and locally-relevant domains 124 for AI visibility. Complete every field, and open the description with a plain statement of what the business is and where it operates.1
• Spread reviews beyond Google. The authority of the third-party sites carrying your reviews scores 156, their diversity 136, and reviews on industry-specific sites 130.1
• Keep one page per service. Second-highest AI factor at 170, and the same page earns its place in organic and conversion terms.1
• Make the site machine-readable. Scannable structure scores 137. Clear headings, direct answers and consistent data give a retrieval system something it can quote.1
• Chase unlinked mentions. Local sponsorships, community publications and association pages all register, at 135.1

How many buyers are actually asking AI

This is where the published figures diverge widely, and any page quoting a single number is choosing one. The honest version is the range, because the question asked changes the answer:

All four can be true at once. Trying a tool in a month, using it for a recommendation at some point in a year, reaching for it in the most recent search and starting there by default are four different behaviors. Trend direction is consistent across every survey. The level is not.

The verification behavior is the part with immediate consequences. 81 percent of consumers take at least one verification step after an AI recommendation and before contacting the business, and 19 percent get in touch directly. Two thirds of AI users, 67 percent, had been given wrong information about a local business at least once, and 30 percent said bad information caused a real inconvenience.12 A separate July 2026 survey found only 18 percent of AI users felt ready to contact the business the AI named.11

Conversion factors: what turns a ranking into a job

The survey scores every factor for conversion impact as well as ranking impact, and the two lists are not the same. Ranking first and converting worst is a real outcome, and this list is where it gets diagnosed.

High Google ratings top the list at 213, higher than any single local pack factor scored for ranking.1 Positive sentiment in the review text follows at 179, which puts what reviews actually say ahead of how many there are.

Three entries on this list are worth separating out because they are settings rather than long-term work. The booking feature enabled on the Profile scores 143, an appointment URL scores 137, and owner responses present on most reviews score 136.1 Photo and video quality scores 149, with the survey specifically distinguishing real imagery from stock.1

Load time appears twice, 135 for the Profile landing page and 134 across the site.1 Both sit above several factors that absorb far more attention.

Local Services Ads

Where Local Services Ads run, they sit above everything else on the page. Businesses that hold the top of both the local pack and the organic results can still find most of their lead volume arriving through LSAs, which makes the placement factors worth knowing even for a strong organic performer.

Budget and bidding leads at 32, with reviews immediately behind at 31.1 The two factors after that are operational rather than marketing: service selection at 23 and response times at 22. Job acceptance rate scores 15 and intake quality, meaning what is actually said on the calls, scores 7.1

Phone handling is a ranking input in this channel. Missed calls, declined jobs and poor intake all feed back into placement, which puts LSA performance partly in the hands of whoever answers the phone.

Negative factors and suspension risk

The survey scores harm in two separate columns: how much a problem damages rankings, and how likely it is to get the Profile suspended. The two diverge sharply, and the divergence is the useful part.

A PO box, mail store or virtual office address scores 106 for negative impact and 202 for suspension risk, the highest suspension score in the set. Association with a suspended Google user account scores 80 for impact and 194 for risk. Reports of violations on the Profile score 102 and 167.1 A problem can sit in the middle of the damage column and at the top of the risk column, which is where the expensive surprises come from.

The factors added for 2026

Eight negative factors are new this edition. Two of them change how marketing work itself should be produced.

Keyword stuffing the description scores 21 for damage with a suspension risk of 35, and stuffing Google Posts scores 38 with a risk of 51.1 Service areas set larger than a two-hour drive score 53 with a risk of 82, and overlapping service areas across multiple-location Profiles score 71 with a risk of 102, which makes service area setup a live concern for any business running more than one location.1

What the data calls a myth

Scores at the bottom of 187 factors are as useful as the ones at the top, since each of these absorbs time that could go somewhere else.

Geo-tagged photos finished last of all 187 factors at 23.1 Follower count on social profiles finished 186th. Keywords in owner responses to reviews finished 182nd, which is worth separating from responding to reviews at all: owner responses present on most reviews score 136 for conversion, so the reply is worth writing for the reader rather than for the algorithm.1

Title tag length finished 184th and is named outright as an SEO myth in the source data.1 The 60-character convention came from how results display on screen rather than from a ranking rule. Long titles rank, and terms past the truncation point still count. Participation in Google Ads finished 185th, which settles a question clients ask often: paid spend does not buy local position, and Google's own documentation says the same.14

An XML sitemap finished 183rd for local pack impact, and that one deserves a caveat rather than a dismissal. It does little for pack ranking, and it still matters for crawling and indexation.1

How buyers actually decide

Ranking factors describe how a business gets shown. This describes what happens next, and the standards rose on nearly every axis in 2026.

The rating bar moved fast. 68 percent will only use a business rated 4 stars or better, up from 55 percent the previous year, and 10 percent hold out for a full five stars.10 A 4.2 star average that was comfortable two years ago now sits below the threshold for two thirds of the market.

Response expectations tightened as well. 89 percent expect owners to respond to reviews, 19 percent expect a same-day reply, up from 6 percent, and 32 percent expect one by the next day, up from 18 percent. 42 percent are unlikely to use a business that never replies, and 50 percent are put off by replies that read as templated.10 That last figure sits alongside the finding that keywords in owner responses rank 182nd of 187, which together say the reply is worth writing properly and is worth nothing as a keyword slot.1

Where people look has shifted

The average consumer now consults six review sites when choosing a business.10 The platform mix behind that number moved sharply in a single year:

• Google fell from 83 percent to 71 percent as a place people read local reviews.
• Apple Maps nearly doubled, from 14 percent to 27 percent.
• AI tools went from 6 percent to 45 percent and became the third most used source of recommendations.
• Local news sites fell from 48 percent to 29 percent.
• 37 percent use Instagram and 29 percent use TikTok to find local business reviews.10

82 percent read AI-generated review summaries, and 23 percent would decide on the strength of those summaries alone.10 Review text is now training material for a summary a buyer may never look past.

The decision happens quickly

Consumer search behavior research found 75 percent of consumers decide which business to use in under 30 minutes and 28 percent decide in under five. 72 percent look at three or fewer businesses before deciding, and 1 percent look at more than ten.11

The reasons they gave for choosing who to contact are worth reading next to the ranking lists: clear and complete information at 32 percent, best or most reviews at 30 percent, and clear pricing at 29 percent.11 Completeness is both a ranking input and the most common reason a buyer picks up the phone.

E-E-A-T in 2026

Google retired "E-A-T" in December 2022 by adding a second E for Experience. The framework is Experience, Expertise, Authoritativeness and Trust, with Trust as the foundation the other three support.

The current edition of Google's Search Quality Rater Guidelines is dated September 11, 2025 and runs 182 pages. That revision added examples for rating AI Overviews and renamed the YMYL "Society" category to "Government, Civics and Society".16

One correction matters, because the opposite belief drives wasted work: E-E-A-T is not a ranking factor. No E-E-A-T score exists inside the algorithm. Human raters apply the framework to real results, their assessments inform how the ranking systems are developed, and the systems then reproduce those judgments at scale. It is the standard the work gets measured against.

Building it looks like this:

• Publish first-hand experience. Job photos, real figures, specific outcomes, details only someone who did the work would know.
• Attach content to a named person with verifiable credentials and a real biography.
• Keep a substantive About page naming the people, the licenses and the service area.
• Earn mentions from sources the industry respects. The 2026 AI visibility scores put a number on this, with prominence on industry-relevant domains at 167.1
• Refresh pages on a schedule and show the review date.
• Manage reputation across platforms. Raters and retrieval systems both look off-site, and the authority of third-party review sites scores 156 for AI visibility.1

Read our full E-E-A-T Strategy Guide

The priority order this data implies

187 factors is a reading list rather than a plan. Taking the survey together with the measured studies, the sequence below reflects where the evidence is strongest and where the same work pays across more than one surface.

1. Primary and additional categories. Highest-scoring pack factor, measured at roughly 36 percent higher top-ten presence for specific categories and 6 to 17 positions for relevant additional ones.2
2. Hours and the map pin. Two of the three new top-ten entrants, both settings rather than projects, both with suspension risk attached if handled carelessly.1
3. A review rhythm rather than a review push. Recency and sustained flow are where three independent datasets agree, with ranking decay observed within weeks of the flow stopping.59
4. Profile completeness to full. Roughly 19 positions of average rank and triple the top-ten rate across 1.8 million Profiles, and the most common reason buyers give for choosing who to contact.211
5. One page per service, geographically anchored. First in organic, second in AI visibility, eighth in conversion.1
6. Best-of placements and unstructured citations. The strongest AI visibility signals, and the ones almost nobody in a local market is working on yet.1
7. Reviews on third-party and industry platforms. Weak in the pack, strong in AI visibility, and aligned with buyers consulting six sites.110
8. A negative-factor and suspension audit. The ranking damage scores and the suspension risk scores do not move together, so the entries that most need attention are not the obvious ones. The PO box, suspended-account association and overlapping service area items sit at the top of the risk column.1

What held up through this transition is the shape of the work. Get the Profile right, build a properly structured site, earn reviews and mentions across the platforms the industry actually uses, and keep the data consistent everywhere it appears. The surfaces multiplied. The discipline is the same one, measured against more places at once.

Sources

1. Whitespark, 2026 Local Search Ranking Factors, by Darren Shaw, published November 6, 2025. 47 local search practitioners scored 187 factors.
2. Whitespark, What 1.8 million Google Business Profiles tell us about local SEO success, by Darren Shaw, Search Engine Land. 1.8 million profiles across 4,209 categories.
3. Whitespark, study of exact and partial match keywords in Google Business Profile business titles across 1.4 million listings in 17 industries.
4. Whitespark, Should Service Area Businesses Show or Hide Their Address for Local SEO, by Darren Shaw.
5. Sterling Sky, What Gets You Ranking for Near Me Searches, by Joy Hawkins, published November 5, 2025. 8,186 businesses across 200 cities, run with Places Scout.
6. Local Falcon, What 50 Million Search Results Reveal About Ranking in the Local 3-Pack, published January 14, 2026. 50.4 million US search results across 1,993 business categories.
7. Local Falcon, The AI Visibility Crisis: Why 83% of Restaurants Don't Exist in ChatGPT, published March 3, 2026. 189,905 ChatGPT results compared with 16.4 million Google results.
8. Local Falcon, The Restaurant AI Visibility Index, published June 12, 2026. 10,000 US restaurants measured against Google's AI recommendations.
9. Yext, Best Practices Will Only Take You So Far, by Michael Iannelli, Sneha Kuchipudi and Adam Abernathy, published August 4, 2025. Over 200 structured data points from 8.7 million Google search results.
10. BrightLocal, Local Consumer Review Survey 2026, published February 11, 2026. 1,002 US consumers.
11. BrightLocal, Consumer Search Behavior research, 2026 editions. The July 2026 edition surveyed 1,227 US consumers who had searched in the previous three months.
12. SOCi, 2026 Local Discovery Index, The Verification Loop, third annual edition, September 2026. More than 1,000 US consumers, weighted to the US population on age, gender and household income.
13. SOCi, 2026 Local Visibility Index, published January 28, 2026. Nearly 350,000 business locations across 2,751 multi-location brands, measured across ChatGPT, Gemini, Perplexity and AI Overviews.
14. Google Business Profile Help, Tips to improve your local ranking on Google.
15. Search Engine Roundtable, Google Local Ranking Documentation Updated, July 15, 2025.
16. Google, Search Quality Evaluator Guidelines, edition dated September 11, 2025, 182 pages.

All figures were verified against the sources above in November 2026. Survey scores are aggregated practitioner judgment and the independent studies are correlation research, so neither represents confirmed statements from Google about its algorithm.