Verified Case StudyE-commerce • Spain

Calzados Club Verde

How a Spanish footwear e-commerce achieved +80% conversions from AI-referred traffic

Results at a Glance

LLM Conversions
Baseline+80%
E-E-A-T Score
4578
Schema Coverage
20%95%
LLM Citability Score
3271

Results achieved over a 3-month implementation period

About Calzados Club Verde

Calzados Club Verde is a Spanish e-commerce retailer specializing in quality footwear. With years of experience in the traditional online retail space, they had built a solid reputation and achieved good rankings in Google search results.

However, as AI-powered search tools like ChatGPT and Perplexity began influencing consumer purchasing decisions, they noticed a problem: their products were invisible in AI recommendations, even when they ranked well for the same queries in traditional search.

The Challenge

The Problem

  • Good traditional SEO rankings but zero AI visibility
  • Products never recommended by ChatGPT or Perplexity
  • Competitors appearing in AI responses instead
  • Missing out on growing AI-driven traffic

Initial Assessment

  • E-E-A-T Score: 45/100 (below threshold)
  • Schema Coverage: Only 20%
  • LLM Citability: 32/100
  • 47 optimization opportunities identified

Solutions Implemented

E-E-A-T Enhancement

Added comprehensive 'About Us' pages, team member bios with expertise credentials, and trust signals throughout the site.

E-E-A-T score improved from 45 to 78

Product Schema Optimization

Implemented complete Product schema with all required and recommended properties including price, availability, reviews, and brand information.

Schema coverage increased from 20% to 95%

Content Structure Optimization

Restructured product descriptions to be more 'citable' by AI, with clear feature lists, specifications, and use-case scenarios.

Content now structured for AI comprehension

Semantic AIO Improvements

Analyzed competitors and identified semantic gaps. Created content to fill missing topics that AI systems expect from footwear retailers.

Closed competitive content gaps

Implementation Timeline

1Month 1

Audit & Discovery

Complete LLMFY analysis of the website identified 47 optimization opportunities across E-E-A-T signals, schema implementation, and content structure.

  • Full site crawl and analysis
  • E-E-A-T assessment
  • Schema audit
  • Competitor analysis
  • Priority roadmap creation
2Month 2

Implementation

The team implemented all high-priority recommendations, focusing on schema, trust signals, and content restructuring.

  • Product schema deployment
  • About Us page overhaul
  • Team bios with credentials
  • Product description rewrites
  • Trust badge integration
3Month 3

Results & Optimization

Monitoring showed significant improvements in AI visibility and a measurable increase in conversions from AI-referred traffic.

  • Performance monitoring
  • 80% conversion increase confirmed
  • Continued optimization
  • Documentation of learnings

The Results

Key Achievements

  • +80% conversions from AI-referred traffic
  • E-E-A-T score improved from 45 to 78
  • Schema coverage increased from 20% to 95%
  • LLM Citability improved from 32 to 71

Business Impact

  • Products now appearing in ChatGPT recommendations
  • Visible in Perplexity shopping queries
  • New traffic channel established for growth
  • Competitive advantage in AI search

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