How Infidigit's LLM SEO Strategy Drove Mochi Shoes 761.43% Traffic Growth from AI Platforms
The Client
Mochi Shoes is India’s leading fashion footwear brand and one-stop destination for contemporary footwear and accessories. Operating under Metro Brands, Mochi has been a front-runner in the national fashion arena since 2000, with over 190 outlets across 95+ cities in India. Specializing in trendy footwear for the youth and cosmopolitan Indian consumers, Mochi offers a wide assortment of shoes, handbags, belts, and accessories that celebrate individuality and bold fashion statements.
The Objective
With the rise of generative AI search, Mochi Shoes wanted to expand its reach beyond conventional SEO. The goal was to appear frequently within AI responses and capture new visibility opportunities across ChatGPT, Gemini, Perplexity, and Copilot.
The Challenge
1. Content LLMs Could Not Fully Trust
Although Mochi Shoes had a solid SEO foundation, the content lacked the depth, entity structure, and contextual clarity needed for AI systems to interpret and reference it confidently.
2. Limited Structured Data & Schema
Incomplete Product, Breadcrumb, and FAQ schema restricted AI platforms from fully understanding product hierarchy, category context, and brand relevance.
3. Low Coverage of Conversational & Long-Tail Queries
LLMs often surface answers for natural-language questions like
“What shoes go best with black jeans?” or “Best sandals for festive occasions?”
These queries were not adequately covered.
4. Lack of Direct Answer Formats
Generative AI systems prefer short, crisp, extractable answers. Mochi’s content did not provide concise statements that could be easily used in AI summaries.
5. Missing AI-Friendly FAQs
High-value question-based searches were not addressed through structured FAQ sections, reducing Mochi Shoes’ chance of appearing in conversational AI responses.
6. Inconsistent Internal Linking
Thin internal linking made it harder for AI systems to understand relationships between product types, styling guides, collections, and categories.
The Solution
Infidigit implemented a comprehensive LLM-first SEO framework designed to improve Mochi Shoes’ AI visibility across channels.
1. Creating Content LLMs Trust
We enriched category pages, buying guides, and styling blogs with deeper product attributes, usage intent, material insights, and contextual clarity.
This helped LLMs confidently recognise Mochi Shoes as an authoritative fashion entity.
2. Strengthening Structured Data & Schema Implementation
Enhanced schema across Product, FAQ, WebPage, and Breadcrumb levels ensured AI models could correctly interpret product details, hierarchy, and context, improving AI Overview placements.
3. Targeting Conversational & Long-Tail Queries
The team optimised content for queries aligned with how users talk in AI tools — from outfit combinations to festival recommendations and comfort-based choices.
4. Providing Direct, Extractable Answers
Key pages were reorganised to deliver short, factual, and authoritative statements to support generative AI models in surfacing Mochi Shoes in summaries.
5. Adding High-Intent FAQ Sections
We introduced and optimised FAQs across priority categories & blog pages to align with LLM-friendly Q&A formats.
6. Building a Strong Internal Linking Network
Contextual internal links were added between category pages, product clusters, and style-related blogs to strengthen semantic relationships and improve AI comprehension.
The Result
The successful implementation of these strategies delivered exceptional results for Mochi Shoes, demonstrating the power of LLM-focused SEO in the fashion e-commerce sector:
8x
Improvement in LLM Traffic
From January 2025 to October 2025, Mochi Shoes experienced extraordinary growth in
Key Performance Highlights
- Peak monthly growth: August 2025 saw the highest single-month growth at 57.2%, demonstrating the compounding effect of AI visibility
- Accelerated momentum: The growth rate intensified in Q3 2025, with sessions nearly doubling from June to September
- Sustained performance: Even with seasonal fluctuations typical in fashion retail, the overall trajectory remained strongly upward
Strategic Impact
This remarkable growth in LLM-driven traffic represents:
- Enhanced brand discoverability: Mochi Shoes is now consistently recommended by AI assistants for footwear-related queries
- Improved market positioning: Stronger presence in AI-generated shopping recommendations compared to competitors
- Future-proof visibility: Established foundation for continued growth as AI-assisted search becomes dominant
- Quality traffic acquisition: LLM-referred traffic typically demonstrates higher intent and engagement
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