This analyzes local SEO from both traditional ranking factors and the emerging AI search angle, which matters since ChatGPT's local conversion rate is apparently 9x higher than Google organic. It detects business type (brick-and-mortar vs service area) and industry vertical to route checks appropriately, then evaluates GBP optimization, review signals, NAP consistency, schema markup, and location page quality. The data is current as of March 2026 with specific stats like the 18-day review velocity cliff and the finding that primary category is simultaneously the top positive and top negative ranking factor. Invoke it when someone asks about local rankings, Google Business Profile, citations, or multi-location SEO. Built for practitioners who need to know what actually moves the needle in local search right now.

skills.sh installs
8K
GitHub stars
27.8K
last updated
Aug 21, 2026

Install

$ npx -y skills add agricidaniel/claude-seo --skill seo-local --agent claude-code

Installs into .claude/skills of the current project.

Files

Local SEO Analysis (March 2026)

Key Statistics

MetricValueSource
GBP signals share of local pack weight32%Whitespark 2026
Proximity share of ranking variance55.2%Search Atlas ML study
Review signals share (up from 16%)~20%Whitespark 2026
Google searches seeking local info46%Industry data
Mobile "near me" searches leading to visit in 24h76%Google confirmed
ChatGPT/AI usage for local recommendations45% (up from 6%)BrightLocal LCRS 2026
ChatGPT local conversion rate15.9%Seer Interactive
Google organic local conversion rate1.76%Seer Interactive
Local pack ads growth (Jan 2025 to Jan 2026)1% to 22%Sterling Sky

Business Type Detection

Detect from page signals before analysis. This determines which checks apply.

Brick-and-Mortar

  • Physical street address visible in page content or footer
  • Google Maps embed with pin/directions
  • "Visit us at", "Located at", "Come see us"
  • Structured address in LocalBusiness schema

Sponsors

Details

Repository
github.com/agricidaniel/claude-seo
Categories
Git & Pull Requests, Code Review & Quality, Marketing & SEO
First seen
Apr 16, 2026

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