Local keyword research finds the search terms a specific geographic audience uses, including terms that carry no location word at all. Search demand for "local keyword research" runs about 1,400 a month in the US with a keyword difficulty of 22 (Ahrefs, 29 October 2026). A search for "dentists" returns the same local pack as "dentists near me" in most cities, which means half of local keyword research is deciding which terms already carry local intent and which ones need a location word added.
Key takeaways
- Pattern: local keywords combine a service or product with a location modifier, in 4 common word orders (Backlinko).
- Split: Google returns local results for implicit queries like "dentists" without any location word, and for explicit queries like "dentist near me" that state the location intent directly (Search Engine Land).
- Location: Google estimates a searcher's general area within at least 3 square kilometers, expanding until that area covers 1,000 people, from saved activity history (Google's location-data policy).
- Scale: more than 220 million "near me" searches happen monthly in the US (Glimpse data cited by Shopify, early 2026).
- Device: 91% of US adults own a smartphone, and 16% rely on one as their only way online, up from 15% in 2021 through 2024 (Pew Research, 2025).
What Is Local Keyword Research?
Local keyword research is the process of finding the exact terms a geographic audience searches for a product or service, then matching those terms to location-specific pages or sections. It differs from a single seed keyword search by testing combinations across the 2 inputs behind every local query, service term and location modifier, rather than one fixed phrase.
The output feeds local SEO directly: Google Business Profile signals carry 32% of local pack ranking weight on their own, but that weight means little without the right keyword behind the profile category and description. A local SEO audit checks whether existing pages already target the right terms; local keyword research decides what those terms are in the first place.
How Is Local Keyword Research Different From Regular Keyword Research?
Local keyword research starts with the searcher's situation, not a keyword tool, since a term's popularity means nothing if it does not match why a local customer is searching that day. Backlinko's local SEO lead Chris Shirlow found that repair keywords carried 3 to 4 times the search volume of installation keywords for the same HVAC service, since customers in crisis mode search for a fix, not a replacement.
A regular keyword research process ends once volume and difficulty look acceptable. A local process adds a second filter: whether the term matches the emergency-versus-consideration situation the local customer is in, according to Backlinko's local keyword research guide. Matching that situation changes which service gets its own page and which keyword that page targets, before any location word enters the picture.
What Is the Difference Between Implicit and Explicit Local Search Intent?
Implicit local intent is a query like "dentists" or "cafe" that Google already answers with a local pack and local organic results, without any location word in the search. Explicit local intent adds a location word directly, such as "dentist downtown" or "cafe nearby," according to Search Engine Land's near-me search guide by local SEO analyst Miriam Ellis.
Google infers a searcher's general area from saved activity history, stating directly that "your search will use an area of at least 3 sq km, or expand until the area represents the locations of at least 1,000 people," per Google's own location-data policy. A term like "granola" carries no implicit local intent at all, since Google cannot tell whether the searcher wants a recipe, nutrition facts or a nearby store, which is exactly when a searcher adds an explicit modifier themselves.
Local keyword research separates a target list into both buckets rather than assuming every term needs a city name attached. A service that already triggers an implicit local pack, such as "plumber," targets that bare term on its main service page; a term with no implicit local signal, such as a specific product name, earns its own explicit, location-modified variant instead.
How Do You Structure Local Keyword Combinations?
A local keyword combines one service term with one location modifier, arranged in 4 word orders: service-then-city, service-then-city-then-state, city-then-service, and city-then-state-then-service, per Backlinko's framework. Location modifiers themselves take 4 forms beyond a bare city name: neighborhoods, landmarks, street names and ZIP codes.
Google treats some of these variants as the same query and others as distinct ones, evidenced by differing cost-per-click data across phrasings such as "plumber boston" against "boston plumbing" in paid-search tools. Testing each word order rather than assuming one covers the rest catches search volume a single fixed phrase misses.
Do "Near Me" Searches Still Matter for Local SEO?
"Near me" searches still matter, with more than 220 million happening monthly in the US alone, according to Glimpse data cited by Shopify's 2026 local SEO statistics. Each one is a high-intent, proximity-driven query, and local SEO agency Sterling Sky found that adding "near me" or "near you" phrasing to a page's titles, headers and URLs lifted organic rankings specifically, with no measured effect on local pack or Google Maps rankings.
Sterling Sky's case study on ranking for near-me searches, led by founder Joy Hawkins, found "near you" performs as well as "near me" and reads more naturally, since Google treats the 2 phrasings as interchangeable. That natural-language option matters given how people get online: 91% of US adults own a smartphone, and 16% rely on one as their only way online rather than a home broadband connection, up from 15% across 2021 to 2024, according to Pew Research's 2025 mobile fact sheet.
Banana Marketing's reading of that pairing: a growing share of local searchers has no second screen to cross-check an awkward phrase against, so "near you" phrasing earns the same organic lift as "near me" without reading like it was written for a crawler instead of a person.
What Tools Help With Local Keyword Research?
A keyword research tool with location filtering turns a brainstormed seed list into measured search volume and difficulty data for a specific city or region. Semrush's Keyword Magic Tool accepts a seed term plus a location filter and returns related local variants directly, and its free tier allows 10 searches a day before a paid plan is required.
Google Keyword Planner provides volume ranges tied to a chosen geography inside the same interface used for Google Ads campaigns, which makes it a free starting point even without an active ad spend. Dedicated local-rank tools such as Local Falcon add grid-based rank tracking across dozens of points in a service area, useful once a keyword list is set and the question shifts from "what to target" to "where ranking differs by neighborhood."
Does Local Schema Markup Reinforce Local Keyword Targeting?
LocalBusiness schema reinforces local keyword targeting by giving Google a structured, unambiguous version of the same name, address and service details the keyword-targeted content states in prose. Google requires at least 7 properties for a validated LocalBusiness entry: url, name, openingHours, telephone, image, logo and address, according to a Search Engine Journal schema guide.
A page targeting "electrician near me" through its headings and body copy, paired with LocalBusiness and GeoCoordinates markup stating the same service and address in structured form, gives Google 2 matching signals instead of one. Local schema markup is its own deeper topic inside technical SEO's structured data coverage, summarized here only as it applies to keyword targeting.
| Number | What it means | Source |
|---|---|---|
| 4 | Word orders a local keyword can take: service-city, service-city-state, city-service, city-state-service | Backlinko |
| 3 sq km | Smallest area Google estimates for a signed-in searcher's general location | Google location-data policy |
| 220 million+ | Monthly "near me" searches in the US | Glimpse data cited by Shopify, 2026 |
| 91% | US adults who own a smartphone | Pew Research, 2025 |
| 16% | US adults who rely on a smartphone as their only way online | Pew Research, 2025 |
| 7 | Required LocalBusiness schema properties for a validated entry | Search Engine Journal |
What Belongs on a Local Keyword Research Checklist?
A local keyword research checklist starts with the customer's situation and ends with page architecture, since skipping straight to a keyword tool produces a technically correct list that misses how people in a specific market search. The 6-item list below runs in that same situation-to-structure order.
The finished list feeds straight into a handful of related decisions: local SEO for small business means prioritizing fewer, higher-intent terms over a long list; local SEO cost scales with how many location pages the finished keyword list requires; a multi-location SEO rollout multiplies the same research across every branch; and a local SEO checklist turns the result into a repeatable task list.
- Define the searcher's situation: decide whether each service is an emergency search or a considered one before touching a keyword tool.
- Brainstorm seed terms: list services alongside location modifiers, including neighborhoods, landmarks and ZIP codes.
- Separate implicit from explicit terms: check whether a bare service term already returns a local pack before forcing a location word onto it.
- Test word order: run service-first and city-first variants, since cost-per-click and volume data differ between them.
- Decide on near-me phrasing: use "near you" in titles and headers where "near me" would read unnatural, expecting an organic lift only.
- Map keywords to pages: assign one keyword cluster per page or location, backed by matching LocalBusiness schema.
Local Keyword Research FAQ
What is the difference between local and regular keyword research?
Local keyword research adds location modifiers and tests whether a term already carries implicit local intent, while regular keyword research judges a term on volume and difficulty alone.
Do you need "near me" in every title?
No. Google already returns local results for implicit queries like "dentists" without it, so adding it helps mainly for terms with no implicit local signal.
Does Google know my location without a location keyword?
Yes, for signed-in users with saved activity history. Google estimates a general area of at least 3 square kilometers, or larger until it covers 1,000 people.
Is "near you" better than "near me"?
Sterling Sky's case study found Google treats the 2 phrases as interchangeable, so "near you" earns the same organic lift while reading more naturally.
What is the easiest free local keyword tool?
Google Keyword Planner provides location-filtered volume ranges at no cost, and Semrush's Keyword Magic Tool allows 10 free searches a day.
Does schema markup replace local keyword targeting?
No. LocalBusiness schema states the same name, address and service details in structured form, reinforcing the keyword-targeted content rather than replacing it.
The Bottom Line
Local keyword research separates implicit queries Google already answers locally, such as "dentists," from explicit ones that need a location word, such as "dentist near me," then tests service-and-location word order across the 220 million-plus monthly "near me" searches in the US. Sterling Sky's finding that "near you" earns the same organic lift as "near me" matters more as 16% of US adults now rely on a smartphone as their only way online. Request Banana Marketing's local SEO services for keyword research built around how a specific local market searches, not a generic city-name template.