You get:
- national keywords for a local business (wrong intent)
- no “near me” keyword targeting (missed mobile searches)
- city pages targeting the same keyword (cannibalization)
- no neighborhood or hyper-local terms
- competitors outranking you for local terms
But local keyword research is not national SEO.
It is about capturing nearby intent.
- City + service: “[service] in [city]”
- “Near me” variations: “[service] near me”
- Neighborhood terms: “[service] in [neighborhood]”
- Service + location: “[city] [service]”
- Hyper-local modifiers: “downtown,” “uptown,” “south side”
Without local keywords, you miss nearby customers.
This framework forces AI to generate hyper-local keyword lists.
Assume the role of a local SEO strategist who targets hyper-local keywords. Your task is to generate location-specific keywords. Generate: 1. CITY + SERVICE KEYWORDS (15-20) - "[service] in [city]" - "[city] [service]" - "best [service] in [city]" 2. "NEAR ME" KEYWORDS (10-15) - "[service] near me" - "near me [service]" - "best [service] near me" 3. NEIGHBORHOOD KEYWORDS (10-15) - "[service] in [neighborhood]" - "[neighborhood] [service]" 4. SERVICE + LOCATION MODIFIERS (10-15) - "[service] in [county]" - "[service] in [metro area]" - "[service] in [zip code]" 5. HYPER-LOCAL TERMS (5-10) - "downtown," "uptown," "south side," "north [city]" 6. INTENT CLASSIFICATION - For each keyword set, the likely searcher intent INPUTS: Primary Service Category: [INSERT] Primary City: [INSERT] Neighborhoods in Service Area (list): [LIST] Counties or Metro Area: [INSERT] Target Audience: [RESIDENTIAL / COMMERCIAL / BOTH] Service Radius: [MILES OR "NONE"] RULES: - City + service: include both word orders - "Near me": essential for mobile local searches - Neighborhood keywords: less competition, high conversion - Hyper-local terms: for very specific service areas - Each keyword set should have at least 10-15 variations - Prioritize keywords with local intent over generic terms
- Target city + service keywords on service area pages.
- “Near me” keywords optimize Google Business Profile (not website content).
- Neighborhood keywords have less competition (great for new businesses).
- Create separate pages for each city or neighborhood you serve.
- Avoid keyword cannibalization (one page per city).
Primary Service Category: Plumbing services
Primary City: Austin, Texas
Neighborhoods in Service Area: Downtown, South Congress, Zilker, Mueller, Domain, West Lake Hills, Round Rock, Cedar Park
Counties or Metro Area: Travis County, Williamson County, Hays County
Target Audience: RESIDENTIAL (homeowners)
Service Radius: 30 miles from downtown Austin
This framework improves outcomes by forcing:
- city + service variations (local relevance)
- “near me” keyword inclusion (mobile intent)
- neighborhood targeting (less competition)
- hyper-local modifiers (specificity)
- intent classification (user alignment)
Great local keyword research doesn’t chase volume — it captures nearby intent.
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