How to Do Keyword Research for Multiple Locations: 2025 Step-by-Step Guide
How to do keyword research for multiple locations to boost SEO, attract local traffic, and rank higher in search results for every area you target.
13 min read
21 Jul 2025

How to Do Keyword Research for Multiple Locations: 2025 Step-by-Step Guide
How to do keyword research for multiple locations to boost SEO, attract local traffic, and rank higher in search results for every area you target.
13 min read
21 Jul 2025
Businesses with multiple locations often make the same mistake: they treat all their markets identically. This misses huge opportunities to get found by local customers. Generic strategies fail because people search differently depending on where they are. The answer is a systematic plan for geo-targeted keyword research to find what people are actually searching for in each location you serve. From what I’ve seen, businesses using location-specific keyword strategies get 42% better local pack rankings compared to those with generic approaches 1. This guide will show you exactly how to build a keyword strategy that pulls in local traffic across all your markets.
For a comprehensive overview of local SEO tactics for multiple locations, check out this guide on Local SEO for Multiple Locations.
Fixing NAP (Name, Address, Phone) consistency is the absolute first step. I can't stress this enough. I once had a client spend a fortune on keywords only to wonder why they weren't ranking. It turned out their locations were competing against each other because of inconsistent addresses and phone numbers. It's a real ranking killer. Inconsistent business information reduces local rankings by 37% 2 and splits your authority across duplicate listings.
For multi-location businesses:
Audit all business listings across Google Business Profile, Yelp, Apple Maps, and industry directories.
Ensure exact match formatting for business names, addresses, and phone numbers.
Fix these inconsistencies before you spend a single minute on keyword research.
Otherwise, even the best keywords won't work because search engines won't trust your data.
When resources are limited, use this data-driven prioritization approach:
Immediate Priority (Weeks 1-2):
Fix NAP consistency for all locations (highest impact on rankings).
Create a Service-Location Matrix to identify which services are offered at each location.
Phase 1 (Weeks 3-6):
Focus on your 3 most profitable locations based on:
Revenue per location
Search volume for primary keywords
Competition level assessment
Unique services offered
Phase 2 (Weeks 7-12):
Scale to remaining locations using templates and processes developed for top-performing locations.
This approach ensures maximum ROI rather than spreading efforts thin across all locations simultaneously.
Step | Description | Primary Tool | Time Investment |
1 | Map services across locations | Service-Location Matrix | 2-4 hours |
2 | Analyze existing performance | Google Search Console | 1-2 hours |
3 | Research location-specific terms | 3-5 hours per location | |
4 | Conduct location-specific competitor analysis | 2-3 hours per location | |
5 | Use free keyword research tools | 2-3 hours | |
6 | Use paid tools for advanced research | 4-6 hours | |
7 | Organize keywords by intent and location | Spreadsheet | 3-4 hours |
8 | Prioritize keywords by location | Scoring matrix | 2-3 hours |
9 | Analyze search intent by location | Manual SERP analysis | 4-5 hours |
10 | Compile final location-specific keyword lists | Keyword organization tool | 2-3 hours |
Step 1: Map Your Services Across All Locations
Create a Service-Location Matrix documenting:
All services/products available at each location
Location-specific offerings (some branches may offer premium services others don't)
Seasonal availability variations
For example, a dental chain might offer teeth whitening at all locations but only provide pediatric dentistry in suburban areas with more families. A simple spreadsheet is perfect for this.
Step 2: Analyze Existing Performance Data
Before researching new keywords, extract current data:
Export search queries, impressions, and clicks from Google Search Console by location.
Review Google Ads performance data for each location.
Identify existing keyword patterns that drive traffic and conversions.
This baseline data reveals what's already working and prevents duplicating unsuccessful strategies.
Step 3: Research Location-Specific Search Terms
Effective local keyword research requires understanding three types of geographic modifiers:
Primary Location Terms:
City names ("Chicago plumber")
ZIP codes ("plumber 60601")
Regional nicknames ("The Loop plumber")
Hyperlocal Terms:
Neighborhoods ("Logan Square plumber")
Landmarks ("plumber near Wrigley Field")
Streets/areas ("plumber Michigan Avenue")
Intent-Driven Location Phrases:
"Emergency plumber downtown"
"Same-day appliance repair [neighborhood]"
"24-hour locksmith near me"
One thing I've learned from analyzing thousands of local SERPs is that people get very specific. Research shows that 70% of location-based searches include hyperlocal terms, not just city names.
Step 4: Conduct Location-Specific Competitor Analysis
Different competitors dominate in different locations, making market-specific competitor analysis essential.
For each location:
Identify the top 3-5 competitors ranking in local packs.
Use SEMrush's Keyword Gap tool to filter for geo-modified keywords.
Find gaps where competitors rank but you don't.
Monitor which competitors appear in local packs and featured snippets.
Step 5: Use Free Keyword Research Tools
Tool | Primary Use Case |
Geographic volume analysis and competition data by location | |
Discovering location-based questions and long-tail phrases | |
Google Search Console | Tracking current location-specific rankings and click rates |
Analyzing trending search volume for specific locations and seasons | |
Finding related location-based keywords and content gaps |
Google Keyword Planner Setup:
Choose "Discover New Keywords."
Enter target keywords.
Set precise location filters (e.g., "Miami, FL" vs. "Fort Lauderdale, FL").
Use the date range filter for the last 12 months.
Export results for each location to compare search volume and competition.
Step 6: Use Paid Tools for Advanced Research
Tool | Strengths | Pricing |
Competitor geo-keyword tracking, local difficulty scores | $120-$450/month | |
Hyperlocal term discovery, backlink analysis | $99-$999/month | |
Citation management, duplicate listing resolution | $14-$49/month |
SEMrush Position Tracking Setup:
Set precise location filters for each city.
Add location-specific keywords with city tags.
Configure device targeting (mobile vs. desktop).
Add local competitors for comparison.
Monitor local pack visibility and ranking distribution.
Step 7: Organize Keywords by Intent and Location
Create three keyword matrices to prevent cannibalization:
Service-Location Pairs:
"dental implants [City]"
"emergency dentist [Landmark]"
Radius-Based Tiers:
Immediate vicinity (0-0.5 miles)
Neighborhood (0.5-2 miles)
Regional (5+ miles)
Intent Categories:
Informational ("how to find dentist [city]")
Navigational ("[business name] [location]")
Transactional ("book appointment dentist [neighborhood]")
Step 8: Prioritize Keywords by Location
Focus on keywords with:
High search volume in specific locations
Low to medium competition
Strong commercial intent
Alignment with services offered at each location
Use a scoring matrix: (Search Volume × Intent Score) ÷ Competition Level = Priority Score
Step 9: Analyze Search Intent by Location
Search intent can change dramatically from one zip code to the next. You need to put on your detective hat here. In my experience:
Urban areas: "fast," "same-day," "24-hour" modifiers
Suburban areas: "family," "trusted," "affordable" modifiers
Tourist areas: "best," "top-rated," "near [landmark]"
Step 10: Compile Final Location-Specific Keyword Lists
Organize keywords into:
Primary keywords (5-10 per location): High volume, direct service matches
Secondary keywords (15-25 per location): Long-tail variations
Opportunity keywords (10-15 per location): Low competition gaps
Business Profile:
Location 1: Downtown Manhattan (premium corporate clients, luxury events)
Location 2: Suburban Westchester (family events, weddings, local community)
Downtown Manhattan Location Research:
Primary Keywords:
"luxury flower delivery downtown Manhattan"
"corporate event florist NYC"
"same-day flower delivery Financial District"
"premium wedding florist lower Manhattan"
Competitor Analysis:
Top competitors: 1-800-Flowers NYC, Manhattan Flower Studio, Blooms NYC
Gap opportunity: "executive flower arrangements NYC" (low competition, high value)
Unique Content Elements:
Gallery of corporate lobby arrangements
Case study: Wall Street firm holiday decorations
"Quick delivery for NYC business district" FAQ section
Partnership mentions with local luxury hotels
Suburban Westchester Location Research:
Primary Keywords:
"Westchester wedding florist"
"family funeral flowers Westchester County"
"affordable birthday arrangements White Plains"
"local florist near Westchester mall"
Competitor Analysis:
Top competitors: Westchester Flowers, Country Garden Florist, Local Petal Shop
Gap opportunity: "eco-friendly wedding flowers Westchester" (emerging trend, low competition)
Unique Content Elements:
Local wedding venue partnership highlights
"Supporting Westchester families for 20+ years" testimonials
Seasonal garden club workshop announcements
Local delivery area map with neighborhood callouts
Content Differentiation Strategy:
Each location page achieves 60% unique content through:
25% location-specific imagery and case studies
20% local partnership and community involvement
15% area-specific FAQs and customer education
Detailed SEMrush Position Tracking Instructions:
Project Setup:
Create separate tracking campaigns for "Miami Emergency Dental" and "Fort Lauderdale Emergency Dental."
Set the location to exact city coordinates.
Keyword Configuration:
Add target keyword: "emergency dental care."
Include variations: "emergency dentist," "24 hour dental care," "urgent dental treatment."
Tag keywords by city for easy filtering.
Competitor Addition:
Miami competitors: Emergency Dental Miami, 24/7 Dental Care Miami
Fort Lauderdale competitors: Urgent Care Dental FL, Express Dental Fort Lauderdale
Analysis Settings:
Device: Mobile (90% of emergency searches)
Update frequency: Daily
Local pack tracking: Enabled
Results Interpretation:
Compare local pack appearances between cities.
Analyze SERP feature differences.
Track visibility percentage trends.
Export comparative rankings data.
Google Keyword Planner Comparison Process:
First Search (Miami):
Location filter: "Miami-Dade County, FL"
Keyword: "emergency dental care"
Note: 2,400 monthly searches, high competition
Second Search (Fort Lauderdale):
Location filter: "Broward County, FL"
Same keyword shows: 720 monthly searches, medium competition
Export and Compare:
Download both datasets.
Create a comparison spreadsheet.
Identify volume and competition differences.
Plan budget allocation based on opportunity size.
Beyond team bios and testimonials, dental clinics can add these unique elements:
1. Before & After Patient Galleries
Implementation: Showcase genuine treatment results from each specific location.
Uniqueness Factor: Real outcomes naturally differ by office, creating authentic visual content.
SEO Benefit: Image optimization with location-specific alt tags.
2. Location-Specific Patient Education Content
Implementation: Address common oral health concerns specific to each area's demographics.
Example: The Manhattan location focuses on "coffee stain prevention for busy professionals," while the suburban location covers "children's dental care for Westchester families."
Uniqueness Factor: Content matches the local lifestyle and patient base.
3. Office Technology and Amenities Showcases
Implementation: Highlight unique equipment, comfort features, or specialized technology at each location.
Example: "State-of-art 3D imaging at our downtown location" vs. "Family-friendly play area at our suburban office."
Uniqueness Factor: Physical differences between locations create natural content variation.
4. Local Community Involvement and Partnerships
Implementation: Document each office's specific community activities, sponsorships, and local partnerships.
Example: "Sponsoring Little League teams in Westchester" vs. "Providing free screenings at Manhattan community centers."
Uniqueness Factor: Community connections are inherently location-specific.
5. Detailed Local Area Information and Patient Conveniences
Implementation: Create comprehensive location pages with parking details, public transit access, nearby amenities, and local business partnerships.
Example: "Convenient to Grand Central Terminal" vs. "Free parking and close to Westchester shopping."
Uniqueness Factor: Location logistics and conveniences differ significantly between areas.
These elements easily achieve 50% unique content per page while providing genuine value to potential patients researching each location.
Location-specific keyword research extends beyond SEO into a complete local marketing plan:
Google Ads PPC Integration:
Campaign Structure:
Create separate ad groups for each city.
Use location-specific keywords in ad copy ("Emergency dental care in Miami").
Enable location extensions showing physical addresses.
Set radius targeting: 10 miles for urban, 25 miles for suburban locations.
Ad Copy Examples:
Miami: "24/7 Emergency Dental Care in Miami - Same Day Appointments Available"
Fort Lauderdale: "Urgent Dental Treatment Fort Lauderdale - Walk-Ins Welcome"
Social Media Content Strategy:
Localized Post Examples:
Instagram: "#MiamiSmiles - Patient success story from our downtown location"
Facebook: "Fort Lauderdale families trust us for gentle pediatric dental care"
LinkedIn: "Serving Manhattan's business district with executive dental services"
Hashtag Strategy:
Location-specific: #MiamiDental, #FortLauderdaleDentist, #WestchesterFamilyDental
Neighborhood-specific: #DowntownMiamiDental, #BrickellDental
Email Marketing Segmentation:
Geographic Segmentation:
Segment subscriber lists by ZIP code and city.
Customize subject lines: "Exclusive Miami Patient Offer" vs. "Westchester Family Dental Special."
Reference local events: "Stay healthy during Miami Beach Marathon season."
Content Personalization:
Local event mentions: "Preparing smiles for Westchester County Fair season."
Weather-related: "Hurricane season dental emergency preparedness for South Florida patients."
Local landmark references: "Convenient to Aventura Mall" vs. "Steps from Westchester County Center."
Cross-Channel Performance Tracking:
Monitor location-based performance across channels:
Google Ads: Cost per lead and conversion rates by city.
Social Media: Engagement rates and follower growth by location hashtags.
Email: Open rates and click-through rates by geographic segments.
Website: Traffic and conversion patterns by landing page location.
With 76% of users employing voice search for local queries 3, optimizing for conversational language is essential for multi-location businesses.
Focus on:
Conversational phrases: "Where's the closest tire repair shop?" instead of "tire repair near me."
Question-based queries: "How late is the dentist open in downtown Miami?"
Natural language patterns: Voice searches average 7-9 words vs. 3-4 for typed searches.
Mobile Optimization Requirements:
Page load speeds under 3 seconds for all location pages.
Click-to-call buttons prominently displayed.
Local schema markup with precise geo-coordinates.
Mobile-friendly contact forms and appointment booking.
Large organizations managing dozens of locations need scalable approaches:
Automation and Templates:
Use bulk keyword research tools processing hundreds of location modifiers.
Implement API-based solutions pulling location data from multiple sources.
Create dynamic content templates with location-specific variables.
International Considerations:
Research language variants between regions ("apartment" vs. "flat").
Implement hreflang tags for multi-country operations.
Account for different search engines (Baidu in China, Yandex in Russia).
Work with native speakers for proper transcreation vs. literal translation.
Multi-location keyword research comes with unique challenges:
Creating duplicate content by only swapping city names without unique value.
Ignoring local dialects and regional language differences.
Targeting keywords uniformly without accounting for market-specific demand.
Overlooking hyperlocal terms in favor of broader city keywords.
Failing to maintain NAP consistency across citation sources.
Address these proactively to prevent penalties and improve visibility.
Monitor these location-specific metrics:
Local pack rankings for each keyword group by location
'Near me' query performance in Google Search Console
Conversion rate differences between locations
Engagement metrics for individual location pages
Quarterly Audit Checklist:
Review keywords with declining relevance.
Identify emerging neighborhood terms.
Monitor algorithm updates affecting proximity rankings.
A/B test city-focused vs. neighborhood-focused approaches.
1. How to do multiple location SEO?
For multiple location SEO, you need to treat each location like its own business online. This means creating unique pages with content for that specific area, keeping your NAP information perfectly consistent, building local citations, earning location-specific backlinks, and optimizing for hyperlocal keywords. Each location should have its own Google Business Profile and a content strategy based on local search trends.
2. How to track SEO in multiple cities with SEMrush?
Use SEMrush's Position Tracking tool with location-specific settings for each city you serve. Set up separate projects for each location, add your location-specific keywords, and configure the tool to track from that specific geographic area. This provides accurate ranking data for each market rather than generalized results. For more details, see SEMrush’s guide on Using SEMrush to Track SEO in Multiple Cities.
3. How to do keyword research for local business?
Local business keyword research involves identifying service keywords combined with location modifiers, researching competitor terms, using Google Keyword Planner with location targeting, analyzing "near me" queries, and exploring hyperlocal terms. Focus on conversational phrases, question-based queries, and neighborhood-specific terms that match local search intent.
4. What are location-based keywords?
Location-based keywords combine service terms with geographic modifiers, such as city names ("Chicago dentist"), neighborhoods ("Lincoln Park dentist"), landmarks ("dentist near Wrigley Field"), or proximity phrases ("dentist near me"). They target users searching for services in specific geographic areas and are essential for local SEO.
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