Global Ecommerce Retailer

Retail & Ecommerce • Global

Designing an AI Based Search Intent Framework to Improve Product Discoverability

A growing ecommerce retailer observed a shift in how customers discover products, with AI-powered search and answer engines increasingly influencing early-stage research and purchase decisions.

Project Duration: Ongoing

Designing an AI Based Search Intent Framework to Improve Product Discoverability

Key Results

Clear

Intent Alignment

Product content was restructured to better reflect how users phrase questions and prompts in AI driven search

Improved

Content Relevance

Intent led narratives improved contextual clarity across selected product categories

Stronger

Top-of-Funnel Presence

Optimized content supported earlier stage visibility in AI assisted research journeys

Actionable

Content Insights

Intent analysis revealed gaps and opportunities in existing product content

Futuristic

Foundation

Established a framework designed to scale as LLM discovery continues to evolve

The Challenge

Customer discovery behaviour was increasingly influenced by LLM based search and answer platforms rather than traditional keyword search alone.

Existing product content was optimized for SEO keywords but lacked conversational context and intent alignment.

Product descriptions did not provide the structured clarity required for accurate AI interpretation.

Manual content optimization was inconsistent and difficult to validate.

Merchandising and content teams lacked visibility into how products appeared in AI generated responses.

The retailer needed a measured, low risk approach to adapt content strategy without disrupting the entire catalogue.

Our Solution

Techno Consultancy designed an AI based search intent mapping and content optimization framework focused on improving how product information is interpreted and surfaced by LLM driven discovery platforms. The approach emphasized pilot implementation, insight generation, and future scalability.

Why Techno Consultancy?

AI Native Content Strategy

Focused on how LLMs interpret and synthesize product information, not just traditional search algorithms.

Intent First Methodology

Shifted optimization from keyword targeting to user intent and conversational discovery.

Consulting Led, Low Risk Approach

Validated impact through pilot implementation before scaling.

Futuristic Design

Built a framework capable of evolving alongside AI search platforms.

Conclusion

By designing an AI based search intent and LLM content optimization framework, Techno Consultancy UK Limited helped the ecommerce retailer adapt its content strategy to emerging AI driven discovery channels. The phased approach improved content relevance, uncovered intent gaps, and established a scalable foundation for future optimization as LLM based search continues to mature.

Technologies Used

AI Based Search and Prompt Intent AnalysisNatural Language ProcessingLLM Oriented Content StructuringProduct Content Optimization FrameworkBehavioural and Engagement AnalyticsEcommerce Platform IntegrationInsights and Reporting Dashboards

Project Team

Content Writer

GEO Experts

“

TCUL helped us understand how our product content needs to evolve for AI driven discovery. The intent led framework gave us clarity on where to start and how to scale responsibly.

Client Testimonial