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Case Study: Local Business GEO

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This case study shows how a local services business implemented GEO to capture queries from voice assistants and AI chatbots.

A local plumbing company implemented GEO by optimizing for local voice queries, adding FAQ and LocalBusiness schema, and creating location-specific content, doubling AI assistant recommendations.

Business Profile

AttributeDetails
BusinessResidential plumbing services
LocationDenver, Colorado
Service areaMetro Denver (50-mile radius)
Website15 pages
Budget$1,500/month

Challenge

Customers increasingly used voice assistants:

  • "Hey Google, find me a plumber near me"
  • "Alexa, who's the best plumber in Denver?"
  • AI assistants were recommending competitors

Implementation

Schema Markup

{
  "@type": "Plumber",
  "name": "Denver Pro Plumbing",
  "address": {"@type": "PostalAddress", "addressLocality": "Denver"},
  "aggregateRating": {"@type": "AggregateRating", "ratingValue": "4.9"}
}

FAQ Content

  • "How much does a plumber charge in Denver?"
  • "What to do when your pipe bursts?"
  • "How to find a licensed plumber?"

Local Content

  • Service area pages for each neighborhood
  • Seasonal plumbing tips for Denver climate
  • Emergency plumbing guide

Results (6 Months)

MetricBeforeAfterChange
AI assistant mentions2 queries8 queries+300%
Voice search visibilityLowModerateImproved
Calls from AI referrals5/month18/month+260%
Revenue from AI leads$3,000$12,000+300%

Key Learnings

  1. LocalBusiness schema is critical for voice/AI discovery
  2. FAQ content targeting voice queries drives local visibility
  3. Location-specific content helps AI match local intent
  4. Small budget can yield big results with focused GEO

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