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Local Keyword Research: Find What Your Area Searches
Local search behaviour differs from national keyword research. This guide covers the location-aware research tools inside RankLocal for finding terms worth targeting.
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RankLocal · Build visibility
Stage 1
local keyword tool
Stage 2
Reading intent modifiers
Stage 3
Competitor gap for local terms
The local keyword tool
Under Rank Tracking → Keyword Research, set your target location (down to postcode or neighbourhood level) and search a seed term; results show search volume specific to that geography alongside the standard national figure for comparison.
Reading intent modifiers
The suggestions panel groups results by modifier type — 'near me', suburb names, 'open now', service-plus-location combinations — helping you decide which pages need dedicated targeting versus which can be folded into an existing page.
- 'Near me' and proximity terms
- Suburb or district-name combinations
- Service-plus-location phrases
- Urgency modifiers like 'emergency' or 'open now'
Competitor gap for local terms
The Local Competitor Gap panel on the same screen shows terms where nearby competitors rank in the map pack and you don't, pulling directly from the grid tracking data covered later in the course.
Exporting a target list
Selected keywords can be added straight to Rank Tracking for ongoing monitoring, or exported to brief a landing page inside RankLocal's Content tab, keeping research and execution in the same tool.
Why this matters
Neglecting location-specific keyword research in favour of broader national terms can severely hamstring your local visibility. For instance, a London-based plumbing service optimising for "boiler repair" nationally might rank poorly in a local pack for someone searching "boiler repair near me" in Islington. RankLocal helps uncover these nuanced local queries, ensuring your content and citations resonate directly with the immediate needs and language of your target geographical area, driving highly qualified local traffic.
Conversely, effectively using RankLocal to identify popular local search terms allows you to tailor your Google Business Profile (GBP) categories, services, and website content to match explicit local intent. Consider a café in Manchester, optimising for "coffee shops Northern Quarter." Without RankLocal, they might miss that "best brunch Manchester city centre" is a more common, high-converting local query. Aligning with these terms not only improves local pack rankings but also enhances conversion rates from searchers actively looking for your specific offering nearby.
Refining Geographic Scope for Local Intent
When conducting local keyword research, precisely defining the geographic scope within RankLocal is paramount. It’s a common pitfall to either be too broad, diluting local intent, or too narrow, missing relevant adjacent areas. For a service business, consider their actual operational radius rather than just their physical address. A florist delivering across five postcodes should research terms relevant to all five, not just the one their shop resides in, using RankLocal's area-specific filtering to uncover distinct query patterns.
This refinement ensures that your keyword targeting directly mirrors your serviceability and customer base. If a restaurant in Edinburgh serves customers primarily from the EH1-EH3 postcodes, focusing keyword efforts on terms like "restaurants Old Town Edinburgh" or "brunch EH3" provides a much stronger foundation for local SEO than general "Edinburgh restaurants." RankLocal allows you to set these precise geographical boundaries, revealing the true search demand within your operational catchment.
• Map your business's physical service area accurately.
• Test varying postcode or radius inputs in RankLocal.
• Cross-reference search volume with business feasibility.
• Segment larger cities into distinct neighbourhood queries.
Do it now
Open RankLocal and navigate to the 'Local Keywords' tool. Input your primary service or product, along with your business's central postcode or a key local landmark. Immediately review the top 20 suggested keywords, paying close attention to any that include strong local modifiers like specific street names, districts, or "near me" variants, which you might not have considered previously. This quick exercise will highlight the immediate value of location-aware query analysis.
• Log into RankLocal.
• Go to the 'Local Keywords' module.
• Enter your core offering (e.g., "hairdresser").
• Specify your primary service postcode (e.g., "SW1A 0AA").
Key takeaways
- ✓Set a precise target location before researching, not just the city name
- ✓Group results by intent modifier to decide page structure
- ✓Check the competitor gap panel for terms rivals already win in the pack
- ✓Push selected terms straight into tracking or a content brief from the same screen
Do it now
Research the right terms and strengthen the citation and content footprint. Audit the local footprint.