local-locations_skill

This skill creates optimized location pages that rank locally, drive foot traffic, and convert nearby searchers into customers.
  • Python

2

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill mikefilsaime-groove/clickcampaigns-for-claude-code-in-cursor --skill local-locations

  • SKILL.md3.5 KB

Overview

This skill creates optimized, location-specific landing pages that rank in local search results and drive foot traffic and conversions. It produces pages with consistent NAP data, neighborhood-focused copy, embedded Google Business Profile elements, and LocalBusiness schema. The output is ready to publish or hand off to developers for integration.

How this skill works

The skill generates location-targeted content and structured data that match the business’s Google Business Profile and local signals. It builds a page framework: hero with NAP, service-area map, neighborhood-focused services, local reviews, and clear CTAs. It also returns schema markup, suggested meta tags, and a checklist to ensure local SEO best practices are followed.

When to use it

  • Launching or scaling multi-location sites
  • Creating individual location landing pages for local SEO
  • Improving Google Map Pack visibility and local rankings
  • Optimizing pages to drive calls, directions, or bookings
  • Aligning on-site content with Google Business Profile data

Best practices

  • Always match NAP exactly to the Google Business Profile
  • Write unique, neighborhood-specific content for each location—avoid duplication
  • Embed map and recent local reviews to boost trust and CTR
  • Include LocalBusiness schema and explicit service-area details
  • Use local phone numbers and mention nearby landmarks and neighborhoods

Example use cases

  • Create 20 city-specific landing pages when opening new branches
  • Revamp underperforming location pages to improve Map Pack placement
  • Generate localized service descriptions and testimonials for each store
  • Produce schema and meta tags to hand to developers for fast publishing
  • Build a local landing page template for franchise websites

FAQ

They improve relevance and local signals by matching NAP, using location keywords, embedding the GBP map/reviews, and adding schema—but rankings also depend on GBP strength, local citations, and backlinks.

Can I reuse copy across many locations?

No. Use unique neighborhood context and local testimonials per page; duplicate content weakens local relevance and ranking potential.

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