Local SEO myths, graded by evidence: what Google, Bing and Apple document, and what is folklore

Local SEO has more folklore per square meter than any other corner of search. Part of the reason is that the map pack is easy to watch. You can check a rank grid every morning, change one thing, and see a number move. The other part is that Google publishes only a short page on how local ranking works, so practitioners fill the gaps with tests, surveys and stories.

This article takes fifteen claims that come up again and again among local practitioners and grades each one against what the platforms actually publish. It makes no ranking promises. A grade tells you how much support a claim has. It does not tell you what will happen to your listing.

How the grades work

Each claim gets one of four grades:

• Documented. The platform says so in its own help pages or policies.
• Partially documented. The platform says something related, but not the specific claim, or not how much it matters.
• No evidence. I found no primary source for it. Some practitioners report tests, but none I could verify. It may still be true; treat it as a hypothesis to test.
• Against guidelines. The tactic breaks a published platform policy. Whether it "works" is beside the point, because the downside is suspension, removed reviews or a public warning.

Inside the text I also use the labels from the rest of this site: official guidance (a platform documenting its own product), research finding, our observation, and hypothesis. All sources were read on 2026-10-06. Google edits its help pages without notice, so re-check them before relying on this after early 2027. The register ids (LC-01 and so on) refer to our evidence register.

What Google says, in full

Google's Business Profile Help page on local ranking is short enough to summarize completely (official guidance, local ranking tips, LC-01):

• Local results are mainly based on relevance (how well a profile matches the search), distance (how far the business is from the searcher, or from the location Google infers) and prominence (how well known the business is). The page's opening sentence currently says "popularity" where the section heading says "prominence". Treat the two as the same idea.
• Prominence draws on information such as how many websites link to the business and how many reviews it has. More reviews and positive ratings "can help".
• Verified profiles and complete, accurate information are more likely to show up.
• The page also suggests replying to reviews and adding photos and videos, but frames both as helping customers, not as ranking inputs.
• You can't request or pay for a better local ranking. Ads are a separate product.

Google's category help page adds one more documented input: the categories you choose affect local ranking (official guidance, business categories, LC-02).

That is the whole of Google's published model. Everything else below is either a policy, a related statement, or a gap.

The fifteen claims

#	Claim	Grade	What the primary source says
1	Google ranks local results on relevance, distance and prominence	Documented	Stated on the local ranking page (LC-01). Weights are not published.
2	Proximity decides everything; you can't rank far from your address	Partially documented	Distance is a stated factor (LC-01). How much it outweighs the others is not stated.
3	Keywords in the business name boost the map pack	Against guidelines	The name must match real-world signage; keywords, locations and taglines are not allowed and can lead to suspension (LC-03).
4	Primary category, verification and complete details matter	Documented	Categories affect local ranking (LC-02); verified, complete profiles are more likely to show (LC-01).
5	More reviews and better ratings help	Documented (general)	Review count is part of prominence (LC-01). Any specific weighting is not documented.
6	Keywords in reviews and owner replies help	Against guidelines (asking for them) / No evidence (effect)	Merchants may not ask for specific review content, including staff names (LC-04). No source says keywords in replies or reviews affect rank.
7	Steady review velocity beats bursts	No evidence	No velocity rule is published. Google does remove "unusual volumes or patterns" that suggest manipulation (LC-04).
8	A discount for "any review, good or bad" is safe	Against guidelines (Google)	Google bans any incentive for a review (LC-04, LC-06). The US FTC rule focuses on incentives tied to sentiment, so Google's rule is stricter (LC-19).
9	Posting weekly GBP updates lifts rankings	No evidence	Google describes posts as a way to share news and offers; it says nothing about ranking (LC-08).
10	Citations, NAP consistency and local links	Partially documented	Links count toward prominence (LC-01). Google builds profiles partly from crawled web content and licensed data (LC-07). NAP consistency as a ranking factor is not documented.
11	Geotagged photos rank better	No evidence	Google's photo guidelines cover format and quality, not location metadata (LC-09).
12	LocalBusiness schema helps you rank in Maps	No evidence	Google's docs describe knowledge panels and carousels, not ranking, and no guarantee of display (LC-10).
13	City and service-area pages at scale win local searches	Against guidelines when they are doorways	Google's doorway policy names city-targeted pages that funnel to one destination (M1-01). Unique, useful location pages are not banned.
14	Driving-direction requests, clicks and simulated visits raise rank	Against guidelines (faked) / No evidence (real)	Engagement posted via emulators or device tampering is fake engagement (LC-04).
15	AI assistants pick local businesses from your Google profile	Partially documented	Ask Maps draws on Maps places and reviews (LC-16). ChatGPT, Bing and Apple use other data sources (LC-12 to LC-18).

The sections below take each claim in turn.

Profile and ranking basics (claims 1 to 5)

1. Relevance, distance, prominence. This is the one thing Google states plainly (LC-01). Notice what is missing. Google doesn't rank the three, doesn't say how prominence is calculated beyond links and reviews, and the current page doesn't mention organic web rank at all. Any article that tells you the "top factor" percentages is quoting a survey or a vendor's model, not Google.

2. Proximity. Distance is documented. "Proximity is everything" is not. Practitioners who say you can't rank outside a few miles of your pin are describing what they see on rank grids. That's our observation territory at best, and it varies by query and market. The related guideline that often gets mixed in here is about service areas: Google says a service area shouldn't usually extend beyond about two hours' driving time, and a service-area business should hide its address if it doesn't serve customers there (official guidance, guidelines for representing your business, LC-03). That is an eligibility rule. It doesn't say a service area widens or narrows where you rank.

3. Keywords in the business name. Some practitioners say stuffing "Plumber Springfield" into the name still lifts rank. That may sometimes be true for a while. It doesn't matter. Google's guidelines say the name should match how the business appears on signage and stationery, list keywords, location details and taglines as not allowed, and say extra information in the name could lead to suspension (official guidance, LC-03). A suspended profile ranks nowhere. If your legal, signed name already contains a keyword, use it. Don't add one. Apple applies the same idea: its display name must match the storefront or website, and a city is only allowed if it is part of the brand (official guidance, Apple Business location attributes, LC-14). Bing's name rules are reported to be similar, but I could not load its guideline page (LC-13).

4. Categories, verification and completeness. Documented. Google says categories affect local ranking, that you should pick the most specific category that describes the core business, and that you shouldn't pick a category for every product or use categories as keywords (official guidance, LC-02, LC-03). "Copy the category your top competitor uses" is a practitioner heuristic. It's only safe when it's also true of your business.

Opening hours belong here too. Google's page on where profile data comes from uses the example of a salon showing for "salons open now" because the owner supplied hours (official guidance, how Google sources business information, LC-07). Accurate hours, including holiday hours, are a documented way to match time-sensitive searches.

5. Reviews: count and rating. Documented in general terms: more reviews and positive ratings can help (LC-01). Everything more specific, such as "recency is weighted", "you need 4.7 stars" or "photos in reviews count extra", is no evidence from Google. Some of it comes from expert surveys, which measure what practitioners believe, not what the system does.

Review programmes (claims 6 to 8)

This is where well-meant tactics most often break policy. Google's fake engagement policy is unusually specific (official guidance, prohibited and restricted content, LC-04). Merchants may not:

• offer any incentive (payment, discounts, free goods or services) for a review, or for changing or removing a negative one,
• ask only happy customers, or discourage negative reviews,
• pressure customers to review while on the premises,
• ask for specific content in a review, including content that names a staff member, or set staff quotas for numbers of reviews,
• post reviews from employees, contractors or others with a conflict of interest, or from multiple accounts controlled by one person.

Merchants may ask for reviews of genuine experiences, as long as they don't try to influence the rating or the content. Google's own tips page suggests a review link or QR code (official guidance, tips to get more reviews, LC-06). If Google finds fake engagement, it can block new reviews for a period, unpublish existing ones, and show customers a warning that fake reviews were removed (official guidance, profile restrictions, LC-05).

6. Keywords in reviews and replies. The common tactic, "ask customers to mention the service and the town", runs straight into the ban on requesting specific content (LC-04). Whether keywords that customers write on their own affect rank: no evidence. Whether keywords that owners put in replies affect rank: no evidence, and the practitioners who have tested it disagree with each other. Google's advice on replies is about customers: keep them short, specific and not promotional, and don't paste the same thank-you everywhere (LC-06). Reply for the next reader, not for a keyword.

7. Review velocity. "Spread reviews out or you'll trip a filter" has no evidence as a ranking rule. What Google does document is that it removes "unusual volumes or patterns" of reviews that indicate efforts to manipulate a rating (LC-04). A genuine spike after a busy weekend isn't manipulation. A purchased batch is. The safe approach is to ask every customer in the same way at the same point in the job, then let the pattern be whatever it is.

8. "Safe" incentives. Some practitioners recommend a discount offered for any review, positive or negative, on the grounds that it isn't buying a good review. Under Google's policy this is still prohibited: the ban covers incentives for posting any review (LC-04). The US FTC's rule on consumer reviews, in force since October 2024, bans fake reviews, undisclosed insider reviews, review suppression and incentives conditioned on a particular sentiment (official guidance, FTC rule Q&A, AG-07). So an unconditioned discount may fall outside the FTC rule and still break Google's. The stricter rule is the one that governs your profile (our reading, LC-19). This isn't legal advice, and other countries have their own rules.

Profile activity and data (claims 9 to 12)

9. GBP posts. No evidence. Google's help page on posts covers types, approval, and the fact that posts older than six months are archived unless they have a date range (official guidance, create and manage posts, LC-08). It says nothing about ranking. Posts can still be useful to customers who see the profile, for offers, events and changed hours. Judge them on that.

10. Citations, NAP and local links. Partially documented. Google says profiles are compiled from crawled web content (such as the business's own site), licensed data from third parties, user contributions and its own interactions with places (LC-07). Wrong data in those sources can therefore end up in your profile, and fixing it is worth doing. Links are named as a prominence input (LC-01). What isn't documented is the specific claim that perfectly matching name, address and phone across dozens of directories is itself a ranking factor. Bing is reported to describe "popularity" in terms of web signals and reviews on other sites, but I could only see that wording quoted by third parties (LC-13). Practical reading: correct the big data sources and the directories your customers actually use. Don't buy a 300-site citation package on the strength of "consistency".

11. Geotagged photos. No evidence. Google's photo guidelines cover file format, size, resolution, and quality: in focus, well lit, not heavily altered, representing reality (official guidance, manage photos, LC-09). Nothing about location metadata. A practitioner test reported in the trade press found no overall ranking effect from adding coordinates, with mixed results for some query types. I couldn't read the full write-up, so it stays unverified (LC-11). Real photos of real jobs are worth posting because customers look at them. The coordinates are not the point.

12. LocalBusiness schema. No evidence for map ranking. Google's documentation says LocalBusiness markup can tell Google about hours, departments and similar details, and describes knowledge panels and business carousels. It doesn't mention ranking (official guidance, local business structured data, page dated 2026-09-08, LC-10). Google's general structured data policy says correct markup doesn't guarantee any feature appears (LC-10). Use the markup if it's accurate for your business. It labels a page. It doesn't push it up the map.

Pages, links and behavior (claims 13 and 14)

13. City pages and service-area pages. This is the claim with the highest stakes. Practitioners are split: one group builds grids of "[service] in [town]" pages by template, another says those grids lose visibility in spam updates.

Google's doorway policy describes pages built to rank for specific, similar queries that send users to less useful intermediate pages. One of its examples is multiple pages aimed at specific regions or cities that funnel users to one page (official guidance, spam policies, M1-01). Its keyword stuffing examples include blocks of text listing the cities a page is trying to rank for (M1-27). Its scaled content policy covers mass-produced pages with little value, however they are made (M1-02).

The policy does not ban location pages. It gives no page count or similarity threshold (M1-01). The line is purpose and value. A location page is on the right side when:

1. there is something real at that location: an office, staff, a service actually delivered there,
2. it carries facts no sibling page carries, such as local staff, prices, service limits, travel times, permits or photos of jobs done there,
3. a visitor can finish the task on it (call, book, get a quote), rather than being pushed elsewhere,
4. it is reachable from normal navigation, not only from search.

A page that would read the same with the town name swapped fails all four. The same test applies to SaaS integration and comparison pages; see bottom-of-funnel pages for SaaS and the scaled content abuse trap. If one page can honestly serve several nearby towns, one page is usually better than ten thin ones (our method, hypothesis, LC-20).

14. Direction requests, clicks and simulated visits. Some practitioners sell device farms that fake direction requests or visits. Google's fake engagement policy covers content posted using an emulator, device tampering or other methods that mimic genuine engagement or manipulate sensor data (official guidance, LC-04). Google's spam policies and terms also cover faked interactions more broadly (CL-09, CL-10). So faked behavior is against guidelines. Whether real visits and direction requests feed local ranking is no evidence either way from Google. Some practitioners who sell the tactic say any gains fade when the spending stops; that is an unverified practitioner report, not evidence. Our article do clicks rank pages? covers what the court record does and doesn't show about click data in web search. It says nothing about Maps, so don't stretch it.

AI assistants and local (claim 15)

"Get your Google profile right and AI will recommend you" is partially documented, and only for Google.

• Google. Ask Maps, launched in March 2026, answers conversational questions using information from over 300 million places, including reviews from Maps contributors, and personalizes results using things like saved and searched places (official guidance, Google Maps blog, LC-16). Google's guide to its AI search features says they rest on the same ranking and quality systems as Search and need no special markup (M1-13). The same guide says Business Profiles can help local businesses be visible in AI responses, and Google's AI features page lists keeping profile information up to date as a best practice (N11-05, N11-06). Neither says how businesses are chosen, and Google gives no Ask Maps–specific advice.
• ChatGPT. OpenAI's help page on ChatGPT search reportedly says it can use your location for local results and may show a map. The page blocked automated access, so I couldn't confirm the wording or whether it names a local data provider (LC-17). Yelp disclosed an agreement with OpenAI in February 2026, and trade press reported in July 2026 that ChatGPT would show Yelp reviews, ratings and photos for local queries. I couldn't load the primary release (LC-18).
• Bing and Copilot. Microsoft says Bing Maps relies on licensed and publicly available location data, that businesses can improve accuracy through Bing Places, and that Bing may partner with third-party providers such as local restaurant review sites (official guidance, How Bing delivers search results, LC-12).
• Apple. Apple Business (which replaced Apple Business Connect from April 2026) manages place cards that appear across Maps, Siri, Wallet and other apps. Apple also announced paid ads in Maps search for the US and Canada, a separate product from the free place card (official guidance, Apple newsroom, LC-15).

So "AI uses Yelp, not Google" and "AI uses Google, so ignore Yelp" are both oversimplified. Each assistant draws on different, partly licensed sources, and the mix changes. Claim the profiles your customers' assistants are likely to read (Google, Bing Places, Apple Business, and the review sites that matter in your trade), keep the facts identical, and then measure. Don't assume.

How to test what isn't documented

Most of the "no evidence" claims above can be tested, but not with a single before/after screenshot. Rank grids move with the searcher's location, the day, competitors' changes and Google updates. A rise after you change something doesn't show the change caused it. A practical design (our method, hypothesis, LC-20):

1. One change, written down. Log the date, the profile, the exact change and what you expect to move.
2. A control. Use a comparable location or profile you don't change, ideally several. Without one, you can't separate your change from a market-wide shift.
3. Fixed measurements. The same grid points, the same queries, the same time of day, for an equal window before and after.
4. Outcomes, not just ranks. Google's Business Profile performance report shows views, search terms, direction requests, calls, website clicks and other interactions (official guidance, performance and insights, LC-21). It mixes organic and Google Ads interactions, so mark any ad periods. Join those numbers to bookings or leads in your own system. A higher grid position that brings no calls isn't a result.
5. AI answers on a panel. For assistant visibility, log the engine, date, location, exact prompt and full answer, repeat each prompt several times, and report the share of runs that name you. One screenshot is an anecdote.
6. Small samples are honest observations. One business over six weeks can show what happened to it. It can't establish a ranking factor. Report it as our observation.

Checklist

• Business name matches your signage, on Google, Bing and Apple. No added keywords or towns.
• Most specific accurate primary category; few secondaries; no categories as keywords.
• Profile verified; address, hours (including holidays), attributes and service area accurate.
• Review requests go to every customer in the same way, with no incentive, no filtering and no requested wording.
• No staff quotas or rewards per review, and no reviews from staff or contractors.
• Replies are short, specific, and written for the next customer.
• Major data sources and the directories your customers use are correct. No bulk citation packages.
• Location pages pass the four-point test above; thin town-swap pages merged or removed.
• No vendor selling direction requests, clicks, visits or reviews.
• Bing Places and Apple Business claimed and matching.
• Every test has a written change log and a control location.

RankPropel's services are aimed at SaaS and B2B teams, not local businesses, so there's no local package to sell you here. The method above is meant to be run yourself.

Sources

Google Business Profile Help: tips to improve local ranking, guidelines for representing your business, business categories, how Google sources business information, prohibited and restricted content, restrictions for policy violations, tips to get more reviews, posts, photos and videos, performance and insights. Google Search Central: spam policies (doorway abuse, keyword stuffing, scaled content abuse; page dated 2026-08-28), local business structured data (page dated 2026-09-08), structured data general guidelines, optimizing for generative AI search. Google: Ask Maps announcement (2026-03-12). Microsoft: How Bing delivers search results (last updated March 2025). Apple: Apple Business location attributes, Apple Business announcement. US FTC: Consumer Reviews and Testimonials Rule Q&A. OpenAI: ChatGPT search help (could not be loaded; wording unverified). All retrieved 2026-10-06.