8
Locations Tracked
across Birmingham metro
20
Zip Codes Monitored
4 queries each
#3.2
Average AI Rank
↑ 0.8 from last week
72%
AI Visibility Score
Top-3 mentions across engines
Location Heatmap
All
Location Performance
| Location | ZIP | Neighborhood | AI Visibility | Avg Rank | Trend | Best Engine |
|---|
Geographic Intelligence Levels
How Rankings Change Across Scales
Rankings typically broaden as geographic scope increases
AI Ranking Heatmap — Birmingham Metro
Rankings across zip codes and AI engines (green: top-3, yellow: 4-6, red: 7-10)
Rankings by Query Type
Engine Performance Snapshot
AI Visibility Score Over Time
12-week trend showing momentum and performance
Rank Changes — Last 4 Weeks
Locations ranked by performance trajectory
| Location | 4 Weeks Ago | 3 Weeks Ago | 2 Weeks Ago | This Week |
|---|
Scheduled Report History
Competitor Comparison
Generate Geo Report
Geo Intelligence Report
Executive Summary
72
/ 100
62%
Top-3 Mentions
#3.2
Avg Rank
ChatGPT
Best Engine
Key Findings
✓
Homewood location leads AI visibility across all engines (avg rank #1.8)
✓
Lakeview location strong performer with 85% top-3 mentions
✓
ChatGPT provides highest visibility (68% top-3 rankings)
✓
Expansion areas (Hoover, Pelham) underperforming — SEO optimization needed
✓
"Best tacos" queries rank significantly better than "lunch spots" queries
Week-over-Week Performance
Visibility
72↑
Avg Rank
3.2↑
Top-3 %
62%↑
Locations
8—
Location Heatmap
Ranking performance by location and engine
Top Opportunities
1. Target "lunch spots" queries in expansion markets — Hoover and Pelham show 6-8 rank gap vs hyperlocal markets. Creating content around "best lunch spots in Hoover" could capture quick wins.
2. Boost Gemini and Google AI visibility — ChatGPT dominates at 68% top-3, but Gemini and Google AI lag at 35-40%. Schema optimization and semantic keyword targeting could improve cross-engine performance.
3. Leverage Homewood location as case study — #1.8 average rank provides competitive edge. Document and replicate SEO patterns to other locations.
Recommendations
HIGH
Create location-specific content for expansion areas (Hoover, Pelham) with focus on local queries to close 6-rank gap
HIGH
Implement structured data (LocalBusiness schema) to improve Gemini and Google AI recognition across all locations
MEDIUM
Develop query-specific landing pages targeting "best tacos" + location variations to capitalize on strong keyword performance
MEDIUM
Monitor ChatGPT dominance trend — allocate 40% of content budget to ChatGPT optimization
LOW
Quarterly audit of geographic rank progression across the 9-level hierarchy to identify upstream expansion opportunities
Enable weekly geo reports