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Scaling LLM traffic with a smart GEO Strategy
Case Studies

Scaling LLM traffic with a smart GEO Strategy

INTRO

A US-based SaaS company specializing in advanced data analytics solutions for enterprise B2B clients. The platform enables organizations to streamline their data pipelines, perform complex analytics, and generate actionable insights from disparate data sources.
With a focus on scalability and integration capabilities, the client serves mid-to-large enterprises across technology, finance, and retail sectors.
The company’s primary target persona consists of data engineers – a notoriously challenging audience to reach through traditional marketing channels. These technical professionals are highly analytical, skeptical of marketing claims, and prefer to conduct extensive research before making purchasing decisions.
The target audience typically research solutions independently, often late at night or during downtime, and increasingly rely on AI-powered tools to expedite their evaluation process.

The Problem

The client faced a significant challenge in reaching their target audience of data engineers through organic search. The company recognized that their prospects were becoming increasingly sophisticated in their research methods, particularly in how they used Large Language Models (LLMs) like ChatGPT, Claude, and Perplexity to explore potential solutions, evaluate integrations, and research bottom-of-funnel considerations. The core problems identified were:
  • LLM Invisibility: The client’s content was not being surfaced by LLMs when prospects asked relevant questions about data analytics solutions
  • AI Overview Displacement: Google’s AI Overviews were appearing for key search terms, potentially reducing click-through rates to the company’s website
  • Technical Content Gap: Existing content wasn’t addressing the specific, technical questions that data engineers typically ask during their evaluation process
  • Accessibility Barriers: The website had technical accessibility issues that could impact both search performance and user experience at scale

    • The work that was done

    Brainz Digital developed a comprehensive Generative Engine Optimization (GEO) strategy specifically designed to capture LLM-driven organic traffic. The approach focused on four key pillars:

    1. GEO Strategy Implementation

    • Conducted extensive research on how LLMs surface and prioritize content
    • Developed content structures optimized for LLM parsing and citation
    • Created content that directly answered the technical questions data engineers ask LLMs
    • Implemented schema markup and structured data to improve content discoverability

    2. Technical Content Enhancement

    • Audited existing content to identify gaps in addressing data engineer pain points
    • Created in-depth technical guides covering integration scenarios, API documentation, and troubleshooting
    • Developed comparison content that addressed “vs.” queries commonly asked of LLMs
    • Produced case studies with specific technical implementation details

    3. AI Overviews Optimization

    • Analyzed Google’s AI Overview patterns for target keywords
    • Optimized content to increase chances of being featured in AI-generated responses
    • Developed content specifically designed to provide comprehensive answers that LLMs would cite
    • Implemented strategic internal linking to guide users from AI Overview clicks to conversion pages

    4. Technical Accessibility Improvements

    Implementation Timeline

    The project was executed over a 6-month period with the following phases:

    Months 1-2: Research and strategy development, content audit, accessibility assessment

    Months 3-4: Content creation and optimization, technical implementations

    Months 5-6: Performance monitoring, iterative improvements, and scaling successful tactics

    Main kpi

    150% LLM traffic

    50% organic traffic increase via AI overviews

    Website migration post M&A

    Results

    The GEO strategy delivered exceptional results;

    Primary Metrics

  • 326% increase in LLM-driven traffic over 6 months
  • 50% average monthly growth in LLM organic traffic
  • Zero backlinks purchased – all growth achieved through pure content optimization

    • Secondary Benefits

  • Improved visibility in Google AI Overviews for target keywords
    • Enhanced user engagement metrics from technically-focused content
  • Better website accessibility scores, supporting long-term SEO performance
  • Increased organic traffic from traditional search engines due to improved content quality

    • Key Success Factors

  • Several factors contributed to the campaign’s success:
  • Technical Expertise: Deep understanding of both LLM behavior and data engineering challenges enabled the creation of highly relevant, cite-worthy content.
  • Audience-First Approach: By focusing on the specific questions and pain points of data engineers, the content naturally aligned with LLM query patterns.
  • Comprehensive Strategy: The multi-faceted approach addressed both emerging (LLM) and traditional (Google) search channels simultaneously.
  • Pure Content Focus: Avoiding link-building activities and focusing entirely on content quality demonstrated the power of GEO as a standalone strategy.

    • Lessons Learned

    This case study demonstrates that B2B companies can successfully capture LLM-driven traffic by understanding how their target audience interacts with AI tools. For technical audiences like data engineers, providing comprehensive, accurate, and immediately actionable content is essential for LLM visibility. The results also highlight the importance of treating GEO as a distinct discipline from traditional SEO, requiring specialized strategies and content approaches tailored to how LLMs parse, understand, and cite information.
    +326%
    LLM-driven traffic over 6 months
    50%
    average monthly growth in LLM organic traffic
    No Spam
    Zero backlinks purchased
    +326%
    LLM-driven traffic over 6 months

    In Summary

    This client Analytics’ 326% growth in LLM-driven traffic proves that forward-thinking B2B companies can successfully adapt to the evolving search landscape. By implementing a comprehensive GEO strategy focused on their challenging target persona, the company not only captured immediate traffic growth but also positioned itself for continued success as AI-powered search continues to evolve. This case study serves as a blueprint for other B2B SaaS companies looking to reach technical audiences through emerging search channels while maintaining focus on content quality and user value.

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