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How We Recovered 62% Missing AI Recommendation Share for Montclair Mud Clay Studio

A deep-dive AI audit across Gemini, Claude, and Perplexity revealed critical zero-mention leakage in 4 surrounding sub-cities. See how structured JSON-LD entity injection restored recommendation dominance.

Spotlight Links Research · August 10, 2026 · 1 min read

Case Study Overview

Montclair Mud Clay Studio is a premier pottery studio located in Montclair, NJ. Despite holding strong Google Business Profile ratings, an initial Spotlight Links AI Search Audit revealed severe visibility leakage across conversational search engines.

  • Baseline AI Rec Rate: 28.5%
  • Post-Optimization Rec Rate: 90.5%
  • Spotlight Links Visibility Score: 9.1 / 10

The Diagnosis: Zero-Mention Sub-City Leakage

When consumers asked Gemini or Perplexity: "Where can I take adult pottery classes near Upper Montclair or Bloomfield?", the AI assistants defaulted to recommending studios located 15 miles away. The studio was completely invisible in 4 out of 6 key local search zones.

The Solution: Spotlight Links Knowledge Base Injection

  1. Synthesized a comprehensive 92-prompt entity grid covering classes, workshops, private events, and wheel-throwing techniques.
  2. Injected full schema markup for local entity grounding.
  3. Probed performance across 3 repeats per prompt to verify statistical confidence using Wilson score bounds.

Within 14 days of entity grounding, Montclair Mud Clay Studio captured a 90.5% recommendation rate across Google Gemini, Claude, and Perplexity.


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