Guide · Local SEO

Local Keyword Research: How to Find the Keywords Local Customers Actually Type

Local keyword research is the process of finding the exact words people in your area type into Google — and increasingly into ChatGPT and other AI tools — when they need a business like yours. Get it right, and your pages show up when nearby customers are ready to buy. Get it wrong, and you optimize for phrases nobody searches.

This guide walks through the whole process step by step: building a seed list, expanding it with tools, checking real search intent, mapping keywords to pages, and making sure AI search engines can find you too. It's written for marketers, founders, and small business owners doing their own SEO.

Why it's worth the effort: local searches convert fast. Google's own research found that 28% of local searches result in a purchase within 24 hours (Think with Google). And about half of all Google searches have local intent (Social Media Today, citing local SEO industry stats).

28%
of local searches result in a purchase within 24 hours (Think with Google)
~½
of all Google searches have local intent (Social Media Today)
A phone showing a local "plumber near me" search with a map pack of businesses
A local search ends in a call or a visit — the map pack is where nearby customers decide who to contact.

The basics

What Counts as a “Local Keyword”?

A local keyword is a search phrase with local intent behind it. There are two kinds, and you need both:

TypeExampleWhat it means
Explicit local keyword "plumber boston"
"dentist austin"
The location is written in the query. Lower volume, very high intent.
Implicit local keyword "plumber near me"
"emergency plumber"
No location in the query, but Google still shows local results based on where the searcher is.

That second type trips people up. Most people never type their city name — Google already knows where they are and shows a map pack (the list of businesses with a map) anyway. In fact, implicit queries like "car service" are used far more often than explicit ones (Mangools). If you only research keywords with city names in them, you'll miss most of your market.

Step 1

Step 1: Start With the Words Your Customers Actually Use

Before you open any keyword tool, write down what customers call your services — in their words, not yours.

Good sources

  • Phone calls, emails, and chat transcripts
  • Your reviews (people describe their problem in plain language)
  • Reddit, Quora, and local Facebook groups in your area
  • Your staff: what do people ask for on the phone?

Write down

  • Your core services (e.g., "drain cleaning", "water heater repair")
  • Problems you solve ("burst pipe", "low water pressure")
  • Qualifiers customers use ("cheap", "same day", "open Sunday", "pet-friendly")
  • Location terms at every level: city, neighborhood, ZIP code, and landmarks ("near Fenway Park", "near the airport")

Why this matters: keyword tools can only measure demand for phrases someone already thought of. If customers say "pop" and you only research "soda," no tool will tell you (Semrush, 2026). For example, one person searches "24-hour plumber South End"; another asks ChatGPT, "Can you recommend a plumber in South End who can come tonight?" Same need, different wording — collect both.

Step 2

Step 2: Expand Your List With Keyword Tools

Now plug your seeds into a keyword tool to see real search volume, difficulty, and related phrases.

Free options to start

  • Google Keyword Planner — free with a Google Ads account. You can set a city as the location, but not neighborhoods or ZIP codes, and volumes come in broad ranges like "100–1K" (Semrush, 2026).
  • Google Autocomplete and People Also Ask — type a seed and see what Google finishes it with; scroll to "related searches" at the bottom of results (Neil Patel).
  • Google Trends — good for spotting which phrasing is growing.

Paid tools

Paid tools (Semrush, Ahrefs, Mangools, Ubersuggest) give you exact volumes, keyword difficulty, and per-location data, plus competitor keyword reports.

A practical recipe

A practical recipe: take one seed like "roof repair", add your city modifiers ("austin", "round rock", "78704"), and collect every variation with volume and difficulty.

  • Then also search the bare service term to find the implicit, high-volume versions.

Shortcut: Votrix AI does this research for you. It's a fully automated SEO agent that runs keyword research and competitor analysis using DataForSEO data, finds the local keywords worth targeting for your market, and shows which ones your site can realistically rank for. Instead of spending an afternoon in three tools, you get a prioritized list — and it can write and publish the pages for those keywords too. Free within the free quota; pay per use beyond that.

Step 3

Step 3: Check What Google Actually Shows for Each Keyword

Search volume tells you demand. The SERP (the results page) tells you what it takes to win.

For each keyword on your shortlist, Google it and check:

  1. Does a local pack appear? If yes, your Google Business Profile matters as much as your website for that keyword.
  2. Who ranks organically? If page one is all directories and big aggregators (Yelp, Angi), a small business site will struggle — but the map pack is still winnable.
  3. Do the results match your business? "pizza boston" returns casual takeout spots; "italian restaurants boston" returns fine dining (Backlinko, 2026). If the results don't match what you offer, the keyword isn't yours even if the volume looks great.

This intent check is the step most people skip, and it's the difference between traffic and customers.

Step 4

Step 4: Mine Your Competitors' Keywords

Your local competitors have already done half the research. Find 3–5 businesses like yours in your area (not national chains), and see which keywords bring them traffic.

  • Enter a competitor's domain into a keyword tool and pull their ranking keywords, filtered to your city (Mangools).
  • Compare your domain against theirs to find keyword gaps — terms they rank for that you don't (Ahrefs).
  • Check which competitors appear in the map pack for your money keywords, and read their reviews and service pages.

For a deeper walkthrough of this, see our guide on competitor keyword research. Votrix AI automates this too: it compares your backlinks, site authority, and backlink gap against competitors using DataForSEO data, so you can see not just which keywords you're missing, but why competitors outrank you.

Step 5

Step 5: Map Keywords to Pages (One Page Per Service, Per Location)

A keyword list isn't a strategy until each keyword has a home. The standard local structure (Backlinko, 2026):

  • One service page per service, per location. "Drain cleaning in Austin" gets its own page — not a paragraph on your generic services page.
  • Group keyword variations with the same results onto one page. "best accountant nyc" and "top accounting firms nyc" show the same results, so one page covers both (Seobility).
  • Neighborhood and ZIP pages for hyper-local terms, if you serve a big city.
  • Your Google Business Profile is the target for "near me" and implicit keywords — fill in services, categories, and descriptions with the phrases you found.

Make a simple spreadsheet: keyword → target URL → status. Gaps become obvious fast (locations you serve with no page, services not covered in every city).

Step 6

Step 6: Optimize for AI Search, Not Just Google

This is the part most local keyword guides still miss. Customers now ask ChatGPT, Claude, and Google AI Overviews for local recommendations — and AI answers pull from different signals than the classic map pack.

AI search readiness

Two things change

  1. Queries get longer and conversational. "Can anyone recommend a family lawyer in Chicago who does free consultations?" instead of "divorce lawyer chicago". Your content should answer these natural-language questions directly.
  2. AI tools can only recommend you if they can read you. If your site blocks AI crawlers or your key pages aren't crawlable, you're invisible in AI answers no matter how good your keywords are (Semrush now includes AI visibility in its local keyword workflow — the same logic applies in reverse).

Votrix AI was built for this shift. It checks whether Google and AI crawlers can actually access your site, and tracks whether ChatGPT, Claude, and Google AI Overviews mention your business. If a page won't rank, it finds it and rewrites it. So the keyword list you built in steps 1–5 doesn't just sit in a spreadsheet — it turns into published, tracked content.

A chat conversation recommending local businesses next to a checklist of crawlability and AI-visibility signals
An AI assistant can only recommend local businesses it can actually read — crawlability and clear service-and-location signals are the checklist.
After Votrix AI's GEO work, ChatGPT recommends the sample company first for a local query
Votrix AI's GEO work in practice: after optimization, ChatGPT leads its local recommendations with the sample business.

Prioritizing

How to Pick Your Final Keyword List

When you're done, you'll have more keywords than you can target. Prioritize with four filters:

1

Relevance

Does the searcher want what you sell, in the place you serve? Cross-check every keyword against your actual service area (Backlinko, 2026).

2

Intent

Commercial keywords ("emergency plumber", "affordable dentist austin") beat informational ones for local businesses.

3

Difficulty

For a new or small site, start under roughly 50 keyword difficulty (Backlinko, 2026). Local long-tails ("plumber south end boston") are usually easier than city-wide terms.

4

Volume vs. value

A 20-searches-a-month keyword that brings calls beats a 2,000-search keyword that brings browsers. Don't discard keywords just because the tool shows low volume; small towns often show almost no numbers, but the searches still happen (Seobility).

Watch out

Common Local Keyword Research Mistakes

Only targeting explicit keywords. You miss the bigger implicit market ("emergency plumber" has more searches than "emergency plumber tulsa" in most areas).

Trusting national volume for local terms. Tools report country-level numbers for "near me" queries; the real local volume is a fraction of it. Use Keyword Planner with a location set, or a tool with per-location data.

Making doorway pages. Ten near-identical "service + city" pages with copy-pasted text get ignored by Google. Each location page needs genuinely local content: staff, photos, reviews, local specifics.

Ignoring your Google Business Profile. For many local keywords, the map pack gets the clicks, not the organic results.

Doing the research once. Search behavior shifts, and AI search is changing phrasing. Re-run your research every few months.

No tracking. Connect Google Search Console so you can see real rankings, clicks, and impressions for the queries you targeted — not tool estimates.

FAQ

Frequently Asked Questions

What is local keyword research?
It's the process of finding the search terms people use to find products, services, or businesses in a specific area — both phrases that name a location ("plumber boston") and ones that imply it ("plumber near me").
How do I do keyword research for local SEO?
List your services and the words customers use, add location modifiers, expand the list with a keyword tool, check what actually ranks for each term, analyze local competitors, then map each keyword to a page on your site or to your Google Business Profile.
What's the best free tool for local keyword research?
Google Keyword Planner is the best free starting point because it lets you set a location and comes straight from Google. Add Google Autocomplete, People Also Ask, and related searches for ideas. Paid tools add exact volumes, difficulty scores, and competitor data.
Why do my local keywords show almost no search volume?
Two reasons: keyword tools report country-level averages, so small local demand shows as zero or near-zero; and many local searches are implicit ("near me" queries) that tools can't attribute to your town. Low volume doesn't mean no customers — judge by intent and conversion, not volume alone.
How many local keywords should I target?
Enough to cover every service you offer in every location you serve, usually one primary keyword per page plus a handful of variations that show the same search results. A typical small business ends up with 20–100 mapped keywords.
Do local keywords still matter with AI search?
More than ever. AI assistants answer local questions using web content, and they favor pages that clearly state the service, the location, and answers to real questions. Keyword research tells you what to write; making your site readable by AI crawlers determines whether AI tools can cite you.

Sources

Local Keyword Research: How to Find Keywords Local Customers Actually Type — A step-by-step guide to local keyword research for SEO: build a seed list, find explicit and implicit local keywords, check real intent, map keywords to pages, and get found in AI search too. Canonical URL: https://votrixai.com/guides/local-keyword-research <now>2026-10-31 14:42 UTC</now>

Put it on autopilot

Let Votrix AI run your local keyword research

Get a prioritized list of the local keywords worth targeting — then let it write, publish, and track the pages for you.