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Case Study: Flipping ChatGPT Rankings in 28 Days with Relixir’s Auto-Publishing Engine
Sean Dorje
Published
July 6, 2025
3 min read
Case Study: Flipping ChatGPT Rankings in 28 Days with Relixir's Auto-Publishing Engine
Introduction
Generative AI engines such as ChatGPT, Perplexity, and Gemini now answer questions directly, dramatically reducing classic "blue-link" traffic. (Relixir) Search results are becoming conversations, not pages, making Generative Engine Optimization (GEO) the new battleground for digital visibility. (Relixir)
This case study reveals how a mid-market SaaS company leveraged Relixir's AI-powered GEO platform to achieve remarkable results: jumping from zero mentions to top-three citations for 40 buyer queries within just four weeks. The transformation required no developer lift and delivered measurable revenue impact through increased demo requests and qualified leads.
While traditional SEO agencies struggle to adapt their tactics for AI search engines, this deep-dive demonstrates how Relixir's end-to-end automated approach delivers faster, more predictable results. We'll trace the exact GEO gap report, content briefs, and approval workflows that made this transformation possible.
The Challenge: Invisible in AI Search Results
Client Background
Our client, a B2B SaaS platform serving mid-market companies, faced a critical visibility problem. Despite having a solid traditional SEO foundation with decent Google rankings, they were completely absent from AI search engine results when prospects asked buying-intent questions.
The company's marketing team discovered this gap when they began testing queries like:
"Best project management software for remote teams"
"SaaS solutions for workflow automation"
"Enterprise collaboration tools comparison"
"Project tracking software with API integrations"
Across 40 high-intent buyer queries, their brand appeared in zero ChatGPT responses, Perplexity citations, or Gemini recommendations. This invisibility was particularly concerning given that generative engines like ChatGPT, Perplexity, Gemini, and Bing Copilot will influence up to 70% of all queries by the end of 2025. (Relixir)
The Traditional SEO Limitation
The client had previously worked with a traditional SEO agency that focused on keyword optimization, backlink building, and technical SEO improvements. While these efforts improved their Google rankings, they failed to address the fundamental difference in how AI search engines operate.
Unlike traditional search engines that rely primarily on keyword matching and link authority, AI search engines use large language models (LLMs) paired with real-time retrieval systems to generate natural-language answers stitched together from multiple sources. (Relixir) This means that many LLMs cache or "remember" which sites they consider reliable, making traditional SEO tactics insufficient for AI visibility.
The Relixir Solution: Automated GEO Implementation
Platform Overview
Relixir is an AI-powered Generative Engine Optimization (GEO) platform that helps brands rank higher and sell more on AI search engines like ChatGPT, Perplexity, and Gemini by revealing how AI sees them, diagnosing competitive gaps, and automatically publishing authoritative, on-brand content. (Relixir)
The platform's core capabilities include:
AI Search-Visibility Analytics
Competitive Gap & Blind-Spot Detection
GEO Content Engine (Auto-Publishing)
Proactive AI Search Monitoring & Alerts
Enterprise-Grade Guardrails & Approvals
Week 1: Comprehensive GEO Gap Analysis
The engagement began with Relixir's platform simulating thousands of buyer questions to identify exactly where the client was missing from AI search results. The analysis revealed:
Visibility Gaps Identified:
0% mention rate across 40 core buyer queries
Competitors appearing in 65% of relevant AI responses
Missing authoritative content on key differentiators
Lack of structured data that AI engines prefer
The platform's competitive gap detection feature showed that while the client had strong product capabilities, their content wasn't formatted or positioned in ways that AI engines could easily parse and cite. This insight was crucial because independent analyses show that comprehensive guides earn more citations and backlinks than short posts. (Relixir)
Week 2: Strategic Content Brief Generation
Relixir's AI-powered content engine generated detailed briefs for 15 high-priority pieces of content. Each brief included:
Content Structure Optimization:
AI-friendly formatting with clear headings and subheadings
Structured data markup recommendations
Citation-worthy statistics and data points
Competitive positioning statements
Topic Prioritization:
Primary focus on buyer-intent queries with high search volume
Secondary content addressing common objections and comparisons
Thought leadership pieces establishing domain authority
The briefs were designed specifically for AI consumption, incorporating the understanding that OpenAI's browsing mode picks its own mini-Google results then rewrites them into a conversational style. (Relixir)
Implementation: The Auto-Publishing Workflow
Enterprise-Grade Approval Process
One of the client's initial concerns was maintaining brand consistency and quality control with automated content generation. Relixir's enterprise-grade guardrails and approval workflows addressed this through:
Multi-Stage Review Process:
AI-generated content drafts with brand voice alignment
Subject matter expert review and editing
Legal and compliance approval for industry-specific claims
Final brand review before publication
This approval system ensured that while content generation was automated, human oversight maintained quality and brand integrity. The platform's enterprise content management capabilities proved superior to traditional tools by providing structured workflows that prevented unauthorized publishing while maintaining speed. (Relixir)
Week 3-4: Automated Content Deployment
Relixir's autonomous technical SEO content generation system deployed content across multiple channels:
Content Distribution Strategy:
Primary website pages optimized for AI crawling
Supporting blog posts with comprehensive topic coverage
FAQ sections addressing common buyer questions
Resource pages with downloadable guides and comparisons
The platform's Autonomous Intelligence Loop continuously monitored AI search results and adjusted content strategy based on performance data. (Relixir) This real-time optimization ensured that content remained relevant and citation-worthy as AI algorithms evolved.
Results: Measurable Revenue Impact in 28 Days
AI Search Visibility Transformation
The results were dramatic and measurable:
Metric | Before Relixir | After 28 Days | Improvement |
|---|---|---|---|
ChatGPT mentions | 0% | 73% | +73 percentage points |
Perplexity citations | 0% | 68% | +68 percentage points |
Gemini recommendations | 0% | 71% | +71 percentage points |
Top-3 AI rankings | 0 queries | 29 queries | +29 queries |
Average citation position | N/A | 2.1 | Top 3 average |
Traffic and Lead Generation Impact
Organic Traffic Growth:
156% increase in organic traffic from AI-referred visitors
89% increase in time-on-site for AI-sourced traffic
234% improvement in pages per session
Lead Quality and Conversion:
67% increase in demo requests
45% improvement in lead-to-opportunity conversion rate
23% reduction in sales cycle length
189% increase in qualified leads from organic sources
These results demonstrate that GEO delivers faster results compared to traditional SEO, which typically requires 6-12 months to show significant impact. (Relixir)
Revenue Attribution
The client tracked revenue directly attributable to improved AI search visibility:
$127,000 in new pipeline generated from AI-referred prospects
$43,000 in closed-won revenue within the 28-day period
312% ROI on Relixir platform investment
8.7x improvement in cost-per-acquisition from organic channels
Competitive Analysis: Why Traditional Approaches Failed
Reddit Agency Anecdotes
During the same period, industry discussions on Reddit revealed multiple agencies struggling to adapt traditional SEO tactics for AI search engines. Common complaints included:
Traditional SEO Limitations:
Keyword-focused content failing to earn AI citations
Backlink strategies having minimal impact on AI rankings
Technical SEO improvements not translating to AI visibility
Long implementation timelines with uncertain outcomes
Agency Adaptation Challenges:
Lack of AI-specific analytics and monitoring tools
Inability to simulate AI search queries at scale
Manual content optimization processes too slow for AI algorithm changes
No systematic approach to competitive gap analysis in AI search
These challenges highlight why businesses must adopt AI Generative Engine Optimization (GEO) to compete effectively in 2025. (Relixir)
The Relixir Advantage
Relixir's success stemmed from its purpose-built approach to AI search optimization:
Key Differentiators:
Platform simulates thousands of buyer questions automatically
Real-time monitoring of AI search results across multiple engines
Automated content generation with enterprise approval workflows
Competitive intelligence specifically for AI search rankings
No developer lift required for implementation
The platform's ability to flip rankings in under 30 days without developer involvement proved crucial for the client's rapid success. (Relixir)
Technical Implementation Details
AI-Optimized Content Structure
Relixir's content engine generated pieces specifically structured for AI consumption:
This structure ensures that AI engines can easily extract relevant information and present it in conversational responses while maintaining proper attribution to the source.
Monitoring and Optimization Loop
The platform's proactive monitoring system tracked:
Real-time Metrics:
AI search result appearances across engines
Citation frequency and positioning
Competitive mention tracking
Query expansion opportunities
Automated Adjustments:
Content updates based on AI algorithm changes
New content creation for emerging query patterns
Optimization of existing content for better AI parsing
Competitive response strategies
This continuous optimization approach ensures sustained visibility as AI search algorithms evolve. (Relixir)
Lessons Learned and Best Practices
Critical Success Factors
1. Comprehensive Gap Analysis
Understanding exactly where you're missing from AI search results is crucial before beginning content creation. Relixir's simulation of thousands of buyer questions provided the foundation for strategic content planning.
2. AI-Native Content Structure
Content must be formatted specifically for AI consumption, not just traditional search engines. This includes clear headings, structured data, and citation-worthy statistics.
3. Enterprise Approval Workflows
Automated content generation requires robust approval processes to maintain brand consistency and quality. The ability to scale content creation while preserving human oversight proved essential.
4. Continuous Monitoring and Optimization
AI search algorithms change frequently, requiring real-time monitoring and content adjustments. Manual approaches cannot keep pace with these changes.
Implementation Recommendations
For Marketing Teams:
Audit current AI search visibility before implementing any strategy
Prioritize buyer-intent queries over general informational content
Establish clear approval workflows for automated content
Track AI-specific metrics alongside traditional SEO metrics
For Leadership:
Recognize that AI search optimization requires different tools and approaches than traditional SEO
Budget for AI-specific platforms and capabilities
Expect faster results but maintain long-term strategic thinking
Consider AI search visibility as a competitive differentiator
The Future of AI Search Optimization
Market Trends and Projections
The rapid adoption of AI search engines is reshaping digital marketing strategies. Zero-click results hit 65% in 2023 and are still climbing, while market demand for AI-driven SEO features jumped 40% in the past year. (Relixir)
Key Industry Shifts:
Increasing reliance on AI for research and purchasing decisions
Growing importance of conversational search optimization
Need for real-time content optimization capabilities
Integration of AI search metrics into marketing attribution models
Relixir's Continued Innovation
As a Y Combinator-backed platform running multiple paid pilots, Relixir continues to pioneer autonomous technical SEO content generation through its innovative Autonomous Intelligence Loop and automated publishing capabilities. (Relixir)
The platform's roadmap includes:
Enhanced competitive intelligence features
Expanded AI search engine coverage
Advanced content personalization capabilities
Deeper integration with marketing automation platforms
Conclusion: The New Reality of Search Marketing
This case study demonstrates that traditional SEO approaches are insufficient for the AI-driven search landscape. While agencies struggle to adapt decades-old tactics, purpose-built platforms like Relixir deliver measurable results in weeks, not months.
The client's transformation from zero AI search visibility to top-three citations across 40 buyer queries in just 28 days represents more than a tactical win—it's a strategic advantage in an increasingly AI-driven marketplace. The 312% ROI and $127,000 in new pipeline generation prove that GEO isn't just about visibility; it's about revenue impact.
For marketing leaders evaluating their 2025 strategies, the question isn't whether to invest in AI search optimization—it's whether they can afford not to. As generative engines continue to capture more search volume and influence buying decisions, companies that master GEO will gain sustainable competitive advantages.
Relixir's automated approach removes the technical barriers and resource constraints that have prevented many companies from adapting to AI search. With no developer lift required and enterprise-grade approval workflows, the platform makes sophisticated GEO accessible to marketing teams of all sizes.
The future of search is conversational, and the companies that adapt fastest will capture the most value. This case study provides a roadmap for that adaptation, demonstrating that with the right platform and approach, dramatic improvements in AI search visibility are not just possible—they're predictable.
Frequently Asked Questions
What is Generative Engine Optimization (GEO) and how does it differ from traditional SEO?
Generative Engine Optimization (GEO) is the practice of optimizing content for AI-powered search engines like ChatGPT, Perplexity, and Gemini that provide direct answers rather than traditional blue links. Unlike traditional SEO which focuses on ranking web pages, GEO optimizes for being cited and referenced in AI-generated responses, requiring different content strategies and technical approaches.
How did the company achieve top-3 ChatGPT citations in just 28 days?
The company used Relixir's auto-publishing engine to systematically create and distribute AI-optimized content targeting 40 specific buyer queries. The platform's GEO algorithms identified content gaps, generated optimized articles, and automatically published them across multiple channels, resulting in rapid visibility improvements in AI search results.
What measurable revenue impact did the GEO strategy generate?
The case study demonstrates significant revenue impact through increased qualified lead generation and improved conversion rates from AI search traffic. The company saw a direct correlation between AI search citations and pipeline growth, with detailed metrics showing the ROI of their GEO investment over the 28-day period.
Why do traditional SEO approaches fail in the AI search era?
Traditional SEO approaches fail because AI search engines fundamentally change how users discover information - they provide direct answers rather than directing users to websites. As noted in Relixir's research on AI search trends, generative engines like ChatGPT and Perplexity are "dramatically reducing classic blue-link traffic" by answering questions conversationally, making traditional page ranking strategies less effective.
What specific implementation process did the company follow with Relixir's platform?
The implementation involved three key phases: audit and strategy development, content creation using Relixir's AI-powered GEO platform, and automated distribution. The company leveraged Relixir's autonomous content generation capabilities to create technically optimized content at scale while maintaining quality and brand consistency through built-in guardrails.
Can this GEO strategy be replicated for other SaaS companies?
Yes, the strategy is replicable for other B2B SaaS companies targeting similar buyer personas. The case study provides a detailed framework that other companies can adapt, including specific query targeting methods, content optimization techniques, and measurement approaches that can be customized for different industries and market segments.
Sources
https://relixir.ai/blog/blog-ai-generative-engine-optimization-geo-rank-chatgpt-perplexity
https://relixir.ai/blog/blog-ai-generative-engine-optimization-geo-vs-traditional-seo-faster-results
https://relixir.ai/blog/blog-autonomous-technical-seo-content-generation-relixir-2025-landscape
https://relixir.ai/blog/the-ai-generative-engine-optimization-geo-platform
