Local Authority Engine
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Case Study: Ace Handyman Home Services

How a multi-location home services leader secured a 42% Share of Model (SoM) and 98% data completeness using the Local Authority Engine.

212% AEO Citation Growth
Top 1% Market Dominance
42% Share of Model
Ace Handyman Services success story

"Our digital presence transformed overnight. We aren't just found; we are recommended."

The Challenge

A home services company had operated from a long-standing brick-and-mortar location for more than 12 years. After moving into a new address environment also associated with other businesses, its local authority signals became unstable. Local rankings softened, entity clarity weakened, and citation consistency needed to be rebuilt. The Local Authority Engine™ was deployed to restore trust signals across Google Business Profile, local content, Maps engagement, citations, and AI-driven discovery systems including ChatGPT, Gemini, Llama, and Perplexity.

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Invisible in AI Search

Fragmented location data across their service area made it impossible for LLMs to verify their service boundaries accurately. AI models were prioritizing newer competitors due to higher recent review velocity.

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Low Recommendation Rate

AI agents failed to recommend their services for high-intent "near me" searches, favoring smaller, single-location competitors with cleaner entity signals.

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Data Fragmentation

A lack of structured "LocalBusiness" schema meant their expertise was never properly indexed in regional Knowledge Graphs, preventing AI from matching specific project intents like "drywall repair."

The Authority Deployment

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Infrastructure Suite Deployment

We achieved a 98% Completeness Score by mapping service area entities across every franchise location, ensuring advanced LocalBusiness schema integration across all major AI training datasets.

  • check_circle Schema 3.0 Integration
  • check_circle Distributed Data Anchoring
  • check_circle Knowledge Graph Mapping
psychology

Context Engine Strategy

Establishing semantic relevance by connecting the brand's services to high-intent local user queries, using localized educational blog content as primary source material for AI conversational loops.

analytics

Precision Monitoring

Real-time tracking of AI mention frequency and sentiment scores across all platforms.

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Citation Authority

Anchoring their presence in local maps and high-trust service directories to ensure "near me" authority.

The Results: Quantified Authority

42%
Share of Model (SoM)
98%
Schema Accuracy
22x
AI Mention Frequency
4.8/5
Sentiment Score (30d)
Authority Engine results dashboard

AI Visibility Benchmarks

A major part of the campaign was measuring visibility across AI-driven discovery systems, not just traditional local search. The business showed meaningful AI visibility across Google Gemini, ChatGPT, Llama, and Perplexity for multiple home service search phrases — being retrieved and surfaced inside AI-assisted recommendation environments.

Search Query AI Performance Significance
Johns Creek Handyman
#1 ChatGPT#2 Gemini
Strong city-service retrieval inside major AI systems.
Handyman Johns Creek
#1 ChatGPT#3 Gemini
Confirms AI recognition across a reversed local-intent query.
Generic handyman searches
#1 Gemini#5 Llama
Shows AI visibility beyond one narrow city query.
Handyman services
#1 Llama
Demonstrates service-category authority inside an LLM environment.
Handyman near me
#3 Gemini#4 Llama
Shows visibility for high-intent local discovery language.

Significance

These AI visibility signals are important because AI-assisted search behavior continues to grow. Local discovery is no longer limited to traditional search result pages. For home services businesses, this is a major shift — if the business is not clearly understood by AI systems, it may never enter the consideration set.

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"The Local Authority Engine didn't just fix our SEO; it built a digital moat. We're now the #1 recommended choice for small residential repairs in every market we serve."

Home Services Client

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