Local Keyword Research

Definition

Local keyword research identifies the specific search queries driving local commercial intent in a target geographic area. It differs from general keyword research in that geographic context transforms query intent — "plumber" from a Manchester IP address triggers local results, while "plumber" in a keyword tool shows national aggregate volume that doesn\'t reflect local search behaviour. Local keyword research approaches: (1) **Geo-modified query research**: using keyword tools (Google Keyword Planner with geographic targeting set to target city/region, Ahrefs with location filter, BrightLocal\'s Local Search Grid) to identify search volume for "[service] [city]" patterns. Note: geo-modified queries often show lower volume than expected because many local searchers use bare queries and rely on Google to detect location. (2) **GSC local query analysis**: for businesses with existing search presence, GSC shows which queries are already driving impressions and clicks. Filtering GSC by city names, "near me", and service-specific terms reveals the local query set already relevant to the business. (3) **"Near me" query patterns**: "plumber near me", "electrician near me" — near-me queries are almost entirely mobile and reflect high immediate-purchase intent. They can\'t be targeted with keyword content in the traditional sense (there\'s no city to optimise for); ranking for them requires strong proximity and GBP prominence signals. (4) **PAA (People Also Ask) for local queries**: local PAA boxes reveal questions specific to the service/location combination that should appear as FAQ content on service and location pages. (5) **Competitor GBP category research**: checking which GBP categories high-ranking local competitors use reveals the category choices Google rewards for specific service queries — informing primary category selection for your own GBP.

Why it matters for SEO

Local keyword research determines which queries to target in GBP optimisation, location page content, and service page content. Without it, local SEO investment may focus on high-volume national terms that Google resolves locally anyway (low additional value from content targeting them) or miss specific service-level queries that drive high-intent local traffic. Local keyword research also reveals which geographic sub-areas (neighbourhood-level in dense cities, town-level in rural areas) have distinct search demand that could justify separate location pages.

How DeepSEOAnalysis checks this

DeepSEOAnalysis audits published location pages and service pages for technical quality — confirming LocalBusiness schema is correctly structured with the geographic signals (address, geo coordinates, areaServed) that support local query matching. FAQPage schema on service pages captures PAA results for local service queries. CrUX performance data reflects real user experience on mobile devices — where local searches predominantly happen — and poor mobile performance directly affects conversion from local organic and map pack traffic.