Local SEO keyword research has expanded beyond optimizing for Google’s organic results and the Local Pack. AI systems such as ChatGPT, Gemini, and Perplexity now generate answers that recommend nearby businesses, and Google’s AI Overviews compose responses from a handful of cited sources. A search for best plumber in Denver now gets evaluated twice: once by Google’s ranking systems and once by AI-generated answers that weigh availability, service area, pricing, licensing, and recurring review themes. Effective local keyword research feeds both, identifying terms that help pages rank while surfacing the questions, service attributes, and location patterns AI systems draw on.
What is local SEO keyword research?
Local SEO keyword research is the process of finding the search terms people use to discover businesses, products, or services in a specific area. Optimizing pages for these keywords increases visibility in organic search results, which drives more website traffic, inquiries, and sales. Maps visibility and AI-generated answers depend on more than page content: Google Business Profile (GBP) optimization, proximity, review signals, and structured service details all contribute.
Where local keywords appear in Google
A search for [service] in [your location] can show different types of results above the other listings.
- Local Services Ads: A row of paid provider cards, often with photos and a Google Guaranteed badge, that can appear at the top for service queries depending on the searcher’s location.
- Businesses or Places (Local Pack): A map view with text links listed below, also called the Local Pack. The label may read “Businesses” or “Places” depending on the query and the searcher’s location.
- Organic results: Traditional blue-link results further down the page.
- AI Overviews: An AI-generated response composed from a handful of cited sources, appearing above or alongside organic results for many queries.
Organic results rely on SEO strategies like on-page optimization and backlinks. Local Pack rankings rely more heavily on GBP optimization, proximity to the searcher, and review signals, which feed into Google’s three local ranking factors: relevance, distance, and prominence. Effective keyword research identifies which terms trigger the Local Pack and informs both website optimization and GBP strategies.
Local keyword examples
Search intent shifts with location, urgency, and proximity, so different keywords match different pages and goals.
- City-level: plumber boston, dentist austin, roofing contractor denver, family lawyer chicago. Use these when you serve an entire city, operate multiple locations, or have city-specific service pages.
- Neighborhood-level: plumber south end boston, dentist downtown austin, coffee shop williamsburg brooklyn, yoga studio capitol hill seattle. Use these to capture more specific local intent with less competition.
- Service + urgency: emergency plumber, 24 hour locksmith, same day appliance repair, walk-in clinic. Use these for emergency or after-hours offerings.
- Near me: plumber near me, coffee shop near me, urgent care near me, pizza delivery near me. Target these when optimizing GBP to improve Local Pack visibility.
- ZIP code + landmark: restaurants 10014, dentist near central park, hotels near fenway park, gyms in 78701. Use these when a business sits near a landmark or targets specific ZIPs and tourist searches.
- Service + attribute: wheelchair-accessible dentist, pet-friendly hotel, Spanish-speaking lawyer, family-friendly restaurant. Use these when customers compare businesses by a specific feature or audience need.
- Commercial or availability modifier: affordable plumber boston, dentist open saturday, hotel with free parking, lawyer free consultation. Use these when customers compare price, availability, or practical details before choosing.
Implicit vs. explicit local keywords
Explicit local keywords include a location term like plumber in boston or dentist near me, making the searcher’s local intent clear. Implicit local keywords don’t specify a location but still trigger local results because the intent is inherently local.
A London resident who lost their keys might search locksmith in london or locksmith near me; both are explicit. Locksmith london drops the “in” but still names the city, so it’s explicit too, and Google returns near-identical results. Someone searching just locksmith expects nearby options, but the query never says so. That’s an implicit local keyword: Google infers the local intent entirely from the searcher’s location.
Results vary most by the searcher’s position. Google resolves every local query against where the searcher is standing, so two people in different neighborhoods, or even different postcodes, can see meaningfully different results, especially for implicit queries where location is the only signal Google has.
This matters for local SEO in several ways:
- Ranking eligibility: You can rank for implicit local queries even if your page doesn’t use exact “in [city]” phrasing, as long as GBP optimization, proximity, and review signals are strong.
- Ranking volatility: When rankings shift, Google often interprets location intent differently depending on the user’s location.
- Copywriting: You don’t need to say “in London” everywhere. Natural phrasing like “London locksmiths” or “trusted across London” still creates local relevance.
- Proximity matters: Implicit local searches depend more on distance and prominence, not just keyword matching, which is why a small local shop can outrank a big brand two miles away.
Treating implicit terms as if they were explicit ones leads to misdiagnosing ranking swings and over-optimizing copy, because Google decides how local a result should be at query time, not based on words alone.
How to do local SEO keyword research
Follow these six steps to perform local keyword research for SEO and AI visibility:
- List the terms customers use when searching for your solutions in specific locations.
- Find relevant local keywords using research tools.
- Verify local intent in the SERP.
- Analyze competitors to find keyword gaps.
- Map keywords to existing or new pages.
- Research for AI visibility.
Step 1: List terms for your solutions and locations
Before opening any keyword tool, gather the exact words customers use when they contact your business. Call logs, staff notes, and chat transcripts show how real people describe services, problems, and locations in everyday language. Keyword tools measure demand for phrases people already know to search, but they can’t suggest wording they’ve never seen enough people use. One person may search for soda, while another looks for pop, same search intent, different regional wording.
Reviews and local community posts on Reddit, Quora, and Facebook Marketplace are worth mining the same way. People describe their needs in the language they’d use in conversation. The vocabulary carries across both evaluators (Google rankings and AI answers), but the query format changes. Someone might type “24-hour plumber South End” into Google and ask ChatGPT, “Can you recommend a 24-hour plumber in South End who can come tonight?” Add both the compact search term and the fuller conversational question to your seed list.
List the following types of solution-related terms: general terms for your business type, products and services people search for, problems or pain points you solve, and questions and qualifiers customers use when asking for recommendations.
Then list location-related terms at multiple levels of specificity: city, neighborhood, ZIP or postcode, and landmarks such as near Fenway Park, near downtown, or near the airport. For service-area businesses like contractors, home service providers, or restaurants, prioritize neighborhood and postcode terms. These have lower competition and attract searchers who want providers in their immediate area.
Step 2: Find relevant local keywords
Use keyword research tools to expand your seed list, assess which terms are realistic to rank for, and see which queries surface local business results.
Google Keyword Planner is a free local keyword research tool for basic keyword ideas and volume estimates. In the “Discover new keywords” section, enter your seed keywords and location. You can enter a city, but not hyper-local areas like neighborhoods or ZIP codes. Google provides broad volume ranges (e.g., 100-1K instead of exact numbers).
For more precise data and local-specific features, Semrush’s Keyword Magic Tool offers deeper analysis. Enter a seed keyword, add your site’s URL for domain-specific insights, choose your target country, and click Search. Use the “Include keywords” filter to add location modifiers at both city and hyperlocal levels (boston, austin, south end, downtown, 02118, 78701), then run separate filters to compare volume and competition. Look at the Personal Keyword Difficulty (PKD %) column, which indicates difficulty for your specific website based on your authority and content relevance compared to top-ranking competitors. Narrow your list by selecting the Personal KD % drop-down and setting a custom range of 0-49, which represents terms you have a good chance of ranking for. Aim for keywords with a good balance of search volume and feasible PKD%, then send relevant keywords to your list.
Local search volume and difficulty scores are directional, not exact, especially for hyperlocal terms. A keyword showing very low or 0 volume may still represent real demand in your specific neighborhood that the data doesn’t fully capture. When the numbers are ambiguous, GBP category, service-area language, and reviews matter more than the volume number alone.
Next, find implicit keywords. Remove your location modifiers from the “Include keywords” filter and add them to the “Exclude keywords” filter to hide explicit keywords. Then apply a filter to show only queries that trigger the Local Pack by selecting “Local pack” under SERP Features. Review these implicit local keywords for search volume and Personal Keyword Difficulty, and send relevant terms to your list. Before finalizing, check the Related tab, which surfaces conceptually connected terms that don’t necessarily contain your seed keyword. Apply the same location and difficulty filters there to keep results consistent.
Step 3: Verify local intent in the SERP
Search the keyword in Google and look at what shows up before investing time targeting it. A keyword’s value depends on what Google actually returns: a Local Pack, an AI Overview, organic results, or ads. Check whether the results reflect local intent, which competitors appear, and whether there’s room for your business to surface in any of those slots. Verification catches mismatches between assumed intent and actual SERP behavior before you commit copy and links to a term.
FAQ
What is local SEO keyword research?
Local SEO keyword research identifies the terms people search for to find businesses, products, or services nearby. Pages built around these keywords can rank higher in organic search, which may bring more website traffic, inquiries, and sales.
How do implicit and explicit local keywords differ?
Explicit local keywords include a location term like “plumber in boston” or “dentist near me.” Implicit local keywords don’t specify a location but still trigger local results because the intent is inherently local, such as a plain search for “locksmith.” Google infers implicit local intent from the searcher’s location rather than from the query words.
Why does local keyword research matter for AI search?
AI systems like ChatGPT, Gemini, and Perplexity now generate answers recommending nearby businesses, and Google’s AI Overviews compose responses from cited sources. These AI answers weigh details like availability, service area, pricing, licensing, and recurring review themes. Local keyword research surfaces the questions, service attributes, and location patterns these systems draw on, so a business can appear in AI-generated recommendations, not just in traditional rankings.
Related coverage
- What 1.8 million Google Business Profiles reveal about local SEO success
- Google Maps adds food ordering, hotel search, and live transit updates to Ask Maps
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