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geogrid-analysis

Interpret geogrid scan data to classify ranking patterns and extract ARP, ATRP, and SoLV metrics.

71|14|Updated Feb 28, 2026
Search Tags:#heatmap#arp#solv#geogrid#local ranks#maps ranking#atrp
One-click install
npx skills add https://github.com/garrettjsmith/localseoskills --skill geogrid-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: geogrid-analysis
Source: https://github.com/garrettjsmith/localseoskills/tree/main/skills/geogrid-analysis
Command: npx skills add https://github.com/garrettjsmith/localseoskills --skill geogrid-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Geogrid analysis helps analysts interpret local ranking data to identify patterns, weaknesses, and opportunities across a business's service area.

Core Features & Use Cases

  • Geogrid interpretation: Extract ARP, ATRP, and SoLV metrics to reveal proximity and reach patterns.
  • Pattern detection: Classify geographic patterns (concentric, directional weakness, scattered, peripheral strength) to guide optimization.
  • Use Case: Run a geogrid analysis for a new market to prioritize citations, local pages, and targeting efforts, or monitor ongoing campaigns with trend reporting.

Quick Start

Run a geogrid scan with your keyword and grid settings, then review the ARP, ATRP, and SoLV outputs.

Frequently Asked Questions about geogrid-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I interpret geogrid scan data for local SEO rankings?▼

Geogrid scan data is interpreted by extracting ARP, ATRP, and SoLV metrics to reveal proximity and reach patterns, then classifying geographic ranking patterns to identify weaknesses and opportunities across a business's service area.

What do ARP, ATRP, and SoLV metrics mean in local rank tracking?▼

ARP, ATRP, and SoLV are local rank tracking metrics extracted from geogrid scans to quantify average rank performance, adjusted rank performance, and share of local voice, revealing a business's geographic visibility patterns.

How do I identify local ranking pattern weaknesses using heatmap data?▼

Heatmap geogrid data is classified into geographic patterns such as concentric, directional weakness, scattered, or peripheral strength to pinpoint specific ranking weaknesses and guide local optimization efforts.

Can I use geogrid analysis for ongoing local SEO campaign monitoring?▼

Geogrid analysis supports ongoing local SEO campaign monitoring by tracking ARP, ATRP, and SoLV trend reporting across multiple grid sizes and radii to measure visibility improvements over time.

What's the best way to prioritize local SEO efforts in a new market?▼

Geogrid analysis prioritizes new market local SEO efforts by mapping ranking patterns and SoLV metrics to strategically target citations, local pages, and geographic targeting where visibility is weakest.

Why does my local business show scattered geogrid ranking patterns?▼

Scattered geogrid ranking patterns indicate inconsistent local visibility across the service area, classified by analyzing ARP and ATRP metrics to diagnose geographic weaknesses and guide targeted optimization recommendations.

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