CUSTOMER CASE STUDY

How TripleDart Helped Omniful.ai Generate 40+ Monthly Demo Bookings in Just 30 Days

How TripleDart Helped Omniful.ai Generate 40+ Monthly Demo Bookings in Just 30 Days

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Client Overview

Omniful.ai provides Retail ERP software solutions to businesses throughout Europe, the Middle East, and Africa (EMEA). Their platform helps retailers streamline operations and improve efficiency across their business processes.

The Challenge

Omniful.ai faced significant hurdles in generating qualified leads through organic search:

  • Ambitious Launch Timeline: They needed to deploy 180+ programmatic pages efficiently
  • Quick Results Required: The goal was meaningful organic traffic within just 30 days
  • Competitive Market: They were up against established industry giants like SAP and Oracle
  • Conversion Targets: They needed to turn visitors into demo bookings at a measurable rate

The Solution: Strategic Programmatic SEO with LLM Optimization

We developed a multi-faceted approach to rapidly build Omniful.ai's organic presence:

1. Targeting Region-Specific, High-Intent Searches

We focused on localized opportunities that larger competitors were overlooking.

  • We researched and identified scalable search opportunities specific to Middle East and Africa markets
  • We analyzed search results to understand what content formats performed best in these regions
  • We created data-driven templates that could scale across multiple related searches while remaining relevant
  • We prioritized searches with clear purchase intent despite lower search volumes

2. Building a Scalable Content Engine

We developed systems to rapidly deploy and optimize large numbers of pages.

  • We implemented an AI-powered workflow that automated the process from keyword research to content generation
  • We integrated the workflow with Webflow for streamlined publishing
  • We conducted comprehensive technical SEO audits to ensure proper indexing and performance
  • We optimized each page with relevant, structured content tailored to specific user intent

3. Restructuring the Website Architecture

We rebuilt the site's information architecture to establish topical authority.

  • We implemented a proper pillar-cluster model (starting from just 35 pages)
  • We developed a two-track content strategy:
    • Long-term strategic content for building domain authority
    • Scalable, high-intent bottom-of-funnel content using programmatic SEO
  • We established strategic backlinking from day one to compete in the challenging ERP space
  • We created expert-led thought leadership content to differentiate from competitors

4. Optimizing for Both Traditional and AI-Driven Search

We recognized the growing importance of LLM search and prepared accordingly.

  • We analyzed how LLM search results differed from traditional search
  • We refined pages to perform well in both environments
  • We structured content to directly address user intent in ways that LLMs could easily interpret
  • We created comprehensive answers to common questions that LLMs could surface

The Results

The strategic approach delivered significant results in just 30 days:

  • Demo Conversions: Achieved 40+ monthly demo bookings (2% conversion rate)
  • Immediate Traffic: Generated 600+ organic clicks in the first month
  • LLM Search Success: Generated 5 demos specifically from LLM search
  • Exceptional Conversion: Achieved 7% conversion rate on targeted long-tail queries
  • Growth Trajectory: Projected to reach 5,000+ monthly visits and 100+ demo bookings

Key Takeaways

By combining programmatic SEO with strategic content development and early LLM optimization, Omniful.ai successfully entered a competitive market dominated by enterprise giants. The approach proved that well-executed programmatic SEO can deliver not just traffic but high-quality leads, even with relatively modest search volumes.

The case demonstrates how understanding audience intent, localizing content, and leveraging automation can create a powerful organic growth engine—particularly when optimized for both traditional and emerging search technologies.

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