CASE STUDY:

Driving Pipeline Growth with Generative Engine Optimization (GEO)

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Introduction

A leading AI SaaS company partnered with Arden CMO Advisory to pioneer a Generative Engine Optimization (GEO) program, building on foundations of AI SEO and LLM SEO. The goal was to improve visibility in LLM-driven discovery platforms such as ChatGPT, Perplexity, Gemini, and Claude, and to convert that visibility into attributable pipeline and revenue.

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Problem Statement

The company faced challenges including:

  • Difficulty appearing in AI-driven answer engines (ChatGPT, Gemini, Perplexity, Claude).
  • Limited visibility compared to competitors in AI-generated responses.
  • Lack of trust and authority signals across content.
  • Technical barriers such as JavaScript-heavy rendering and missing schema that prevented effective LLM indexing.
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Solution

Arden CMO Advisory designed a holistic program that combined AI SEO, LLM SEO, and GEO to maximize visibility and conversions across AI platforms:

  • Measurement & Management Optimization Tool: Implemented to track LLM visibility, monitor brand sentiment, and tie GEO performance directly to pipeline.
  • Brand Measurement & Competitive Analytics: Benchmarked share of voice across ChatGPT, Gemini, Perplexity, and Claude.
  • Content Designed for LLMs: Built structured content hubs optimized for clarity, trust, and referenceability in AI-generated responses.
  • Authority & Trust Updates: Enhanced E-E-A-T with SME bylines, expert citations, and guest posts across trusted domains.
  • Community & Video Signals: Launched Reddit engagement and YouTube thought leadership content to expand authority signals across surfaces LLMs scrape.
  • Technical GEO Enhancements: Implemented schema, optimized robots.txt, and converted JavaScript-rendered pages into crawlable content.
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Implementation

Over a six-month execution window, the program combined technical fixes, content innovation, and authority-building tactics:

  • Weekly monitoring of AI outputs across ChatGPT, Gemini, Perplexity, and Claude. (Insert Screenshot 2 – AI monitoring dashboards)
  • Achieved 90% inclusion in Top + Middle positions within LLM-generated responses. (Insert Screenshot 4 – Positioning & Sentiment chart)
  • Maintained 92% positive sentiment in LLM results. (Insert Screenshot 4 – Sentiment chart)
  • Released new content clusters designed for LLM training ingestion.
  • Established a sales feedback loop to double down on content themes producing the highest-converting leads.
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Results

The program drove measurable and revenue-tied business impact:

  • Explosive Referral Growth:
    • ChatGPT referrals grew 1,020% YoY (from 118 to 1,322 sessions).
    • Engagement from ChatGPT traffic increased 901% YoY (from 75 to 751). (Insert Screenshot 1 – GA referral report)
    • Perplexity, Gemini, and Claude referrals emerged as meaningful contributors to pipeline by mid-2025.
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  • LLM Visibility & Sentiment:
    • 90% inclusion in Top + Middle positions for LLM responses.
    • 92% positive sentiment, strengthening trust and authority.
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Increased visibility in over hundred different high intent prompts.

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  • Lead Generation & Revenue Impact:
    • Generated 150+ attributable leads from ChatGPT, driving significant ARR.
    • ChatGPT leads had the highest close rate of any channel (Paid Search, Organic Web, Paid Social, Organic Social), with 60% of inbound leads converting to closed-won deals.
    • GEO established itself as the company’s highest-performing demand channel by conversion efficiency.
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Conclusion

Arden CMO Advisory positioned the company as a first mover in AI-driven discovery. The results prove that GEO can drive not only visibility but also pipeline and revenue impact. With ChatGPT referrals growing 1,020% YoY and leads closing at 60% — the highest rate across all channels — GEO delivered significant attributable ARR and positioned the company for long-term success in the AI discovery era.

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