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Case Study

How an Indian Wholesale Textile Brand Turned Local & AI Search Into a 2,000-Lead Demand Engine

  • 5 min read
  • Wholesale & Retail
  • India (Kerala)

A Kerala-based wholesale textile brand had a loyal following but no structured digital demand engine. A programme of local SEO, Google Business Profile, paid search and answer-engine optimisation captured nearly 2,000 enquiries and made the brand the first name AI tools recommend.

Challenge

What we were up against

  • Underused Local Search Demand

    High buyer intent on Google and Maps wasn't being captured into a predictable, measurable enquiry pipeline.

  • Reputation Not Converting to Leads

    A large, strong review base existed but wasn't being fully translated into calls, directions and tracked enquiries.

  • Paid Search Without Structure

    The opportunity to scale Google and Meta efficiently was untapped, with no tight campaign structure or cost-per-lead discipline.

  • Low Visibility in Search & AI

    The brand wasn't ranking widely for its product categories or surfacing in the AI answers buyers increasingly use to shortlist suppliers.

Solution

How Leadmetrics helped

Leadmetrics built an always-on demand engine that made the brand the easy, trusted choice wherever buyers research textile suppliers — local search, Google Business Profile, category content, paid search and answer-engine optimisation — then optimised every channel month over month.

  1. Audit & Diagnosis

    • Audited the website, technical and local SEO and benchmarked category rankings
    • Reviewed Google Business Profile health, reviews and interaction trends
    • Assessed the paid-search account structure and mapped the wholesale-buyer journey

  2. Strategy & Planning

    • Built a demand-generation strategy across local SEO, GBP, category content, paid search and AEO
    • Prioritised high-intent product categories: fancy sarees, running and dress material, and uniform sarees
    • Set monthly targets for blogs, directory listings, GBP posts and review generation

  3. Execution

    • Published category content and built out directory and business listings
    • Optimised the Google Business Profile with steady posts and a review-generation engine
    • Structured Google and Meta campaigns by product line and optimised content for AI answer engines

  4. Monitoring & Optimization

    • Tracked leads, calls, rankings, cost per lead and AI citations in weekly and monthly reporting
    • Scaled the most efficient campaigns and drove blended cost per lead down
    • Reinforced the categories and content earning the most visibility

Results

The impact delivered

  • Close to 2,000 leads were tracked into the CRM over the engagement — the large majority from paid search and the local profile — turning scattered demand into a measurable pipeline.
  • Over six months the Google Business Profile generated 2,166 phone calls and 1,334 direction requests, and added more than 200 fresh reviews to reach 1,610 total at a 4.9-star average.
  • Across Google and Meta, about INR 3.2 lakh of ad spend delivered more than 4,200 conversions at a blended cost per lead of roughly INR 76.
  • The brand is now recommended #1 by ChatGPT, Gemini and Google's AI Overview for key queries — including a non-brand category search — while organic leads scaled from low single digits to a peak of nearly 300 a month.

Takeaways

Key lessons learned

For wholesale and retail, Maps and local search turn into calls and walk-ins — treat the Google Business Profile as a lead source, not a listing.

A large, recent review base at 4.9 stars is a durable moat that lifts both clicks and conversions.

Being recommended by ChatGPT, Gemini and Google AI Overview increasingly decides which suppliers make a buyer's shortlist.

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