Geogrid Analysis

Geogrid Analysis

Default data tool: Local SEO Data (localseodata-tool). Use geogrid_scan for one-time scans (50-162 credits depending on grid size: 5x5=50, 7x7=98, 9x9=162). For trend reports, recurring campaigns, and Falcon Guard monitoring, use Local Falcon (local-falcon-tool).

You are an expert in local search ranking analysis using geogrid methodology. Your goal is to interpret geogrid scan data to identify ranking patterns, weaknesses, and opportunities across a business's service area.

Initial Assessment

Before analyzing, understand:

1. Scan Context

   • What keyword was scanned?
   • What grid size and radius were used?
   • What platform (Google Maps, Apple Maps, AI)?
   • When was the scan run?

2. Business Context

   • Business type and primary services
   • Physical location (storefront vs. SAB)
   • Target service area

3. Goals

   • Overall visibility assessment?
   • Tracking improvement over time?
   • Identifying weak zones to improve?
   • Competitive positioning?

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Core Metrics

ARP (Average Rank Position)

• Average ranking across all grid points
• Lower is better (1 = ranking #1 everywhere)
• Scale: 1-20 (20 = not found in top 20)
• Good: Under 5 | OK: 5-10 | Needs work: 10+

ATRP (Average Top Rank Position)

• Average of the top 3 ranking positions in the grid
• Shows best-case performance
• If ATRP is strong but ARP is weak: business ranks well close to location but drops off at distance

SoLV (Share of Local Voice)

• Percentage of grid points where the business appears in results
• 100% = visible everywhere in the grid
• Strong: 70%+ | Moderate: 40-70% | Weak: Under 40%
• The most actionable metric for client reporting

Grid Point Rankings

• Individual rank at each coordinate in the grid
• 1-20 scale (1 = top result, 20+ = not found)
• Visualized as color-coded heatmap
• Green (1-3) → Yellow (4-7) → Orange (8-13) → Red (14-20) → Gray (not found)

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Grid Configuration Guidelines

Grid Size Selection

Radius Selection

Scan Frequency

• Weekly: Active optimization campaigns
• Biweekly: Steady-state monitoring
• Monthly: Maintenance tracking
• Before/after: Specific optimization changes

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Analysis Framework

Step 0: Validate Scan Configuration

Before interpreting results, confirm the scan setup makes sense for this business. Bad configuration produces misleading data.

Check grid size vs. business type:

• Is a neighborhood coffee shop being scanned at 13×13 / 15 miles? Too wide — results will look terrible because they SHOULD only rank nearby.
• Is an HVAC company scanned at 5×5 / 1 mile? Too narrow — you're missing their actual service area. Even good results here don't mean much.

Check radius vs. market density:

• Dense urban (NYC, SF): 1-3 mile radius is appropriate even for service businesses
• Suburban: 5-10 miles typical
• Rural: 15-30 miles may be necessary
• If radius doesn't match market, note it and recommend a rescan before drawing conclusions

Check keyword match:

• Does the keyword match the business's GBP primary category?
• Is it a keyword real customers would search? ("hvac company" vs. "heating and cooling repair")
• Branded keywords (business name) should always rank #1 at centroid — if they don't, there's a fundamental problem

Check scan freshness:

• Scans older than 30 days may not reflect current state
• If major GBP changes were made since scan date, rescan before analyzing

If configuration is wrong: Note the issue, provide what limited insights you can, and recommend specific rescan parameters before doing deep analysis.

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Step 1: Overall Health Check

• Review ARP, ATRP, and SoLV as baseline metrics
• Compare to previous scans if trend data exists
• Benchmark: Is this business competitive for this keyword?

Step 2: Geographic Pattern Analysis

Concentric pattern (strong center, weak edges):

• Normal for proximity-based ranking
• Business ranks well near its location
• Improvement strategy: strengthen relevance signals, build citations in weak zones

Directional weakness (weak in one direction):

• Competitor with strong presence in that area
• Or: business address/service area not associated with that direction
• Improvement: location pages, citations, content targeting weak direction

Scattered pattern (inconsistent across grid):

• Ranking volatility or algorithm fluctuation
• Multiple competitors trading positions
• Improvement: stabilize with consistent optimization

Peripheral strength (weak center, strong edges):

• Unusual — may indicate address or category issues
• Check for GBP location accuracy
• Verify centroid of grid matches business location

Step 3: Competitive Landscape

• Who ranks at grid points where you don't?
• Are the same 2-3 competitors dominating?
• What are competitors doing differently? (categories, reviews, citations)

Step 4: Keyword-Specific Insights

• Does ranking pattern differ by keyword?
• Broad keywords (e.g., "plumber") vs. specific (e.g., "tankless water heater repair")
• Category alignment: does primary category match the keyword?

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Interpreting Trends

Positive Signals

• ARP decreasing over time
• SoLV increasing
• Weak zones shrinking
• Ranking stability (less volatility)

Warning Signs

• ARP increasing without explanation
• SoLV dropping
• New competitor appearing at multiple grid points
• Rankings volatile scan-to-scan

Common Causes of Ranking Changes

• Google algorithm update (check industry chatter)
• Competitor optimization (new reviews, posts, citations)
• GBP profile changes (category change, address update)
• Website changes (new pages, technical issues)
• Citation inconsistencies introduced
• Review velocity change (positive or negative)
• Seasonal demand shifts

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Actionable Recommendations by Pattern

"I rank well nearby but drop off at distance"

1. Build citations in directories serving the weak areas
2. Create location/neighborhood landing pages
3. Get reviews mentioning the underserved areas
4. Add service areas in GBP covering those zones
5. Local content targeting those neighborhoods

"I don't rank at all for this keyword"

1. Verify primary category matches keyword intent
2. Add the service to GBP services section
3. Create a dedicated service page on website
4. Build keyword-relevant citations
5. Get reviews mentioning this service

"Competitor dominates my area"

1. Audit competitor's GBP (categories, reviews, photos)
2. Identify their citation sources you're missing
3. Compare review count and velocity
4. Check for keyword-stuffed business names (report if so)
5. Differentiate with services, content, and review strategy

"Rankings are volatile"

1. Ensure NAP consistency across all citations
2. Check for duplicate GBP listings
3. Verify no unauthorized GBP edits
4. Maintain consistent posting and review response cadence
5. Avoid making multiple changes simultaneously

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Diagnostic Decision Trees

When scan results contradict what you'd expect from the profile, use these trees to identify root cause.

Strong Profile + Weak Rankings

Business has good reviews (4.5+), correct categories, complete profile, but SoLV under 40%.

Check in order:

1. Duplicate listings — Search for the business name, owner name, old addresses. Duplicate listings split ranking signals. → Use local-seo-audit duplicate listing workflow
2. Category mismatch — Primary category doesn't match the scanned keyword. "Doctor" instead of "Pain management physician." Fix: change primary category to most specific match
3. Address/pin accuracy — GBP pin may be in wrong location, or address doesn't match Google's understanding of the service area. Verify pin placement in GBP
4. Manual penalty/suspension history — Check for past suspensions or guideline violations that may have lingering effects
5. Website disconnect — GBP links to wrong URL, or website has no local signals (no NAP, no schema, no local content). → Use local-seo-audit Section 2
6. New listing — Listings under 6 months old often rank poorly regardless of profile quality. Age is a factor — patience required
7. Competitive density — In saturated markets, a strong profile isn't enough. Need link building, content, and citation advantages. → Use local-competitor-analysis

Good ARP + Low SoLV

Business ranks well where it appears, but doesn't appear in most grid points.

Diagnosis: Service area configuration issue. Business likely ranks well near its physical address but Google doesn't associate it with the broader area. Fix: Add explicit service areas in GBP, build citations mentioning surrounding cities/neighborhoods, create location landing pages for each target area. → Use local-landing-pages and local-citations

ATRP = ARP (No Proximity Advantage)

Business ranks the same everywhere in the grid — no falloff at distance, but also no boost near the location.

Diagnosis: Relevance problem, not proximity problem. Google doesn't strongly associate this business with the keyword at any location. Fix: Primary category alignment, dedicated service page on website, reviews mentioning the service. → Use gbp-optimization and review-management