How IndusTech Increased Qualified Inquiries by 280% with LLM Optimization
Learn how this industrial equipment manufacturer improved AI visibility, clarified technical content, and accelerated B2B pipeline generation in just five weeks.
About IndusTech
IndusTech designs and manufactures automation-ready industrial components for packaging lines, material handling, and precision assembly systems. Their customers include OEMs, system integrators, and plant operations teams.
While IndusTech had strong engineering credibility, their content format made it hard for AI assistants to retrieve and recommend their solutions in technical buying workflows.
Company Snapshot
Key Challenges
Three blockers were limiting AI discoverability and slowing revenue-qualified pipeline growth.
Complex Product Specs
Dense engineering language and fragmented spec tables reduced AI comprehension and recommendation quality.
Low AI Discovery
Procurement teams used AI assistants for vendor shortlisting, but IndusTech was missing from key responses.
Slow Qualification
Sales spent too much time clarifying basic fit questions due to weak pre-sales content clarity.
Implementation Timeline
A focused five-week rollout delivered measurable improvements across technical visibility and lead quality.
Week 1: Audit and Strategy
- •Audited 1,800 technical pages across product families and specs
- •Mapped buyer-intent queries for engineers, procurement, and operations teams
- •Identified content gaps in tolerances, certifications, and compatibility data
Week 2-3: Technical Content Rebuild
- •Rewrote spec pages into structured, AI-readable sections
- •Added FAQ blocks for integration, safety, and maintenance questions
- •Standardized terminology and units across all high-value pages
Week 4-5: Deployment and Optimization
- •Deployed updates with tracker-based monitoring and weekly review cycles
- •Expanded top-performing pages with comparison and use-case blocks
- •Improved citation reliability for long-tail industrial queries
What Drove Results
IndusTech combined content structure, intent alignment, and continuous optimization to win more AI-assisted buying journeys.
Structured Technical Pages
Reorganized product pages into clear sections for use cases, compatibility, tolerances, and compliance data.
Procurement-Focused FAQs
Created buyer-focused FAQ clusters covering lead times, certifications, installation needs, and support terms.
Industry Comparison Content
Published side-by-side comparison pages versus common alternatives and legacy equipment categories.