seo-local
seo-local is a Claude Code skill that evaluates your local search presence across technical SEO, schema markup, and geo-targeting factors. Run parallel analysis across 25 sub-skills to uncover actionable improvements for local visibility and ranking potential.
seo-local evaluates your local search presence across technical SEO, schema markup, and geo-targeting factors. The skill runs parallel analysis across 25 sub-skills to identify actionable improvements for local visibility and ranking potential, helping you understand where optimization opportunities exist in your current local search footprint.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-27
seo-local evaluates your local search presence across technical SEO, schema markup, and geo-targeting factors. The skill runs parallel analysis across 25 sub-skills to identify actionable improvements for local visibility and ranking potential, helping you understand where optimization opportunities exist in your current local search footprint.
Use it when
- seo-local includes dedicated analysis for Google Business Profile optimization.
- Yes.
Verify before relying
Read SKILL.md below before installing (2 files). Open directory: indexed for reading, not audited.
Install
AgriciDaniel/claude-seo/seo-local · repository language: Python
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What does seo-local analyze for local SEO performance?
seo-local evaluates your local search presence across technical SEO, schema markup, and geo-targeting factors. The skill runs parallel analysis across 25 sub-skills to identify actionable improvements for local visibility and ranking potential, helping you understand where optimization opportunities exist in your current local search footprint.
How do I use seo-local to optimize my Google Business Profile?
seo-local includes dedicated analysis for Google Business Profile optimization. The skill assesses GBP completeness, consistency, and visibility factors as part of its local pack ranking evaluation. Run the analysis to receive a checklist of specific GBP improvements and understand how your profile compares against local pack ranking factors.
Can seo-local audit NAP consistency across my business directories?
Yes. seo-local performs NAP consistency audits and citation health assessment across directories. The skill evaluates whether your Name, Address, and Phone number appear consistently across local citations, identifying discrepancies that may harm local rankings and providing guidance to resolve citation health issues.
What local SEO analysis for my business does seo-local provide?
seo-local delivers comprehensive local SEO analysis covering technical setup, schema markup validation, geo-targeting configuration, and multi-location strategy. The skill identifies specific ranking barriers, citation gaps, and optimization priorities weighted by impact, with particular focus on local pack visibility and location page quality across your business footprint.
How does seo-local help with multi-location SEO strategy?
seo-local evaluates multi-location SEO and location page quality as a core function. The skill assesses whether each location receives proper geo-targeting, unique content, and local schema markup. It identifies consistency issues across locations and recommends location-specific improvements to strengthen your overall multi-location search presence.
Does seo-local improve AI visibility for local businesses?
seo-local includes AI search visibility analysis to enhance local business discoverability in AI-powered search results. The skill evaluates structured data, content clarity, and local authority signals that influence AI model training, helping your business appear more prominently in AI search and generative search results for local queries.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
Local SEO Analysis (March 2026)
Key Statistics
| Metric | Value | Source |
|---|---|---|
| GBP signals share of local pack weight | 32% | Whitespark 2026 |
| Proximity share of ranking variance | 55.2% | Search Atlas ML study |
| Review signals share (up from 16%) | ~20% | Whitespark 2026 |
| Google searches seeking local info | 46% | Industry data |
| Mobile "near me" searches leading to visit in 24h | 76% | Google confirmed |
| ChatGPT/AI usage for local recommendations | 45% (up from 6%) | BrightLocal LCRS 2026 |
| ChatGPT local |
(truncated - see the full file via the links below)
File tree — 2 files
skills/seo-local/LICENSE.txt
skills/seo-local/SKILL.md
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