Blog
28-Day Case Study: How Relixir Took a B2B SaaS Brand from Invisible to #1 on ChatGPT and Google
Sean Dorje
Published
August 7, 2025
3 min read
28-Day Case Study: How Relixir Took a B2B SaaS Brand from Invisible to #1 on ChatGPT and Google
In the rapidly evolving landscape of AI-driven search, traditional SEO strategies are becoming obsolete. (Generative Engine Optimization (GEO): Your Brand's Survival Guide in the AI Search Era) Major enterprises like Disney+, FICO, and BCG are completely rethinking their SEO strategy to focus on AI-driven search platforms. (GenAI killed SEO: How Major Enterprises Are Completely Rethinking SEO Strategy with Generative AI)
This case study reveals how one B2B SaaS company leveraged Relixir's AI-powered Generative Engine Optimization (GEO) platform to achieve remarkable results in just 28 days. (Relixir) The transformation was dramatic: from being virtually invisible in AI search results to claiming the #1 position across both ChatGPT and Google, with a 3x increase in AI-mention rate and a 56% boost in organic clicks.
With ChatGPT maintaining approximately 59.7% AI search market share and 3.8 billion monthly visits, optimizing for AI search engines has become critical for business success. (Relixir Blog) AI search is forecasted to be the primary search tool for 90% of US citizens by 2027, making this transformation not just impressive, but essential for future competitiveness.
The Challenge: Invisible in the AI Search Era
Our subject company, a mid-market B2B SaaS provider in the project management space, faced a critical visibility problem. Despite having a solid product and decent traditional Google rankings, they were completely absent from AI search results when potential customers asked ChatGPT, Perplexity, or Gemini about solutions in their category.
The SEO market, worth over $80 billion, is undergoing a fundamental shift as generative AI models process information differently than traditional search engines, using semantic understanding rather than keyword matching. (Generative Engine Optimization - The Complete Guide to AI-First SEO in 2025) This meant their existing content strategy, optimized for traditional search crawlers, was ineffective for AI-powered platforms.
Relixir's initial diagnostic revealed several critical gaps:
Zero mentions in AI search results for key buyer queries
Content structured for traditional SEO, not AI comprehension
Missing authoritative signals that AI engines prioritize
No systematic approach to AI search optimization
The company needed a complete transformation of their search strategy, and they needed it fast. With competitors beginning to appear in AI search results, every day of delay meant lost market share in the emerging AI search landscape.
The Relixir Solution: A Systematic 28-Day Transformation
Relixir's approach centers on Generative Engine Optimization (GEO), an advanced strategy that optimizes content, brand, and related entities for visibility in AI-driven search engines. (Relixir Blog) The platform simulates thousands of buyer questions, flips AI rankings in under 30 days, and requires no developer lift.
The transformation followed a precise four-phase methodology:
Phase 1: AI Search Visibility Simulation (Days 0-7)
Relixir's platform began by simulating thousands of deal-stage questions enterprise buyers ask AI engines about project management solutions. (Relixir Blog) This simulation process involved running thousands of customer search queries on ChatGPT, Perplexity, and Gemini to understand the current competitive landscape.
The diagnostic revealed that competitors were dominating AI search results through:
Authoritative content that AI engines trusted and cited
Structured data that facilitated easy AI comprehension
Strategic entity relationships that boosted topical authority
Content gaps the client could exploit for competitive advantage
Phase 2: Competitive Gap Analysis and Content Strategy (Days 7-14)
One of the most powerful applications of AI search simulation is its ability to identify competitive gaps in real-time. (Relixir Blog) Relixir's analysis uncovered specific topics and query patterns where competitors were weak or absent entirely.
The platform diagnosed why rivals appeared first in AI search results and developed a targeted content strategy to address these gaps. This involved:
Identifying high-impact topics with low competitive density
Structuring content for optimal AI comprehension and citation
Creating authoritative, on-brand content that would resonate with AI engines
Establishing entity relationships that would boost topical authority
Phase 3: Automated Content Deployment (Days 14-21)
Relixir's GEO Content Engine automatically published authoritative, on-brand content designed specifically for AI search optimization. (Relixir) This automated approach ensured consistent, high-quality content production without overwhelming the client's internal resources.
The content deployment focused on:
Creating comprehensive, authoritative content on identified gap topics
Optimizing content structure for AI engine comprehension
Implementing strategic internal linking to boost entity relationships
Ensuring all content maintained brand voice and messaging consistency
Phase 4: Monitoring and Optimization (Days 21-28)
Relixir's Proactive AI Search Monitoring & Alerts system tracked performance across all major AI search engines in real-time. (Relixir Enterprise) This allowed for rapid adjustments and optimization based on actual AI search performance data.
The monitoring revealed:
Gradual improvement in AI search visibility starting around day 18
Significant ranking improvements by day 25
Complete ranking flip by day 28
The Results: Dramatic Transformation in 28 Days
Metric | Day 0 | Day 28 | Improvement |
|---|---|---|---|
AI Mention Rate | 0% | 67% | 3x increase |
Organic Clicks | Baseline | +56% | 56% increase |
ChatGPT Rankings | Not ranked | #1 position | Complete flip |
Google AI Results | Not featured | #1 position | Complete flip |
Perplexity Mentions | 0 | 23 | 23x increase |
The transformation was comprehensive and measurable:
AI Search Dominance
By day 28, the company achieved #1 rankings across both ChatGPT and Google's AI-powered search results for their primary target queries. This represented a complete reversal from their initial invisibility in AI search platforms.
Increased Organic Traffic
The 56% increase in organic clicks demonstrated that AI search optimization also benefited traditional search performance. This dual benefit maximized the ROI of the GEO investment.
Enhanced Brand Authority
The 3x increase in AI mention rate meant that when potential customers asked AI engines about project management solutions, the company was now mentioned 67% of the time, compared to 0% at the start.
Competitive Advantage
The speed of transformation gave the company a significant first-mover advantage in AI search, positioning them ahead of competitors who were still focused solely on traditional SEO.
The Technology Behind the Success
Relixir's success stems from its sophisticated approach to Generative Engine Optimization, which differs fundamentally from traditional SEO. (Generative Engine Optimization (GEO): Organic Results from AI) The platform focuses on maximizing a website's reach and visibility in generative AI engines such as ChatGPT, Perplexity, Gemini, CoPilot, and Claude.
AI Search Visibility Analytics
Relixir's platform provides comprehensive analytics on how AI engines perceive and rank content. (Relixir) This includes tracking mentions, rankings, and citation patterns across multiple AI search platforms simultaneously.
Autonomous Intelligence Loop
Relixir's Autonomous Intelligence Loop represents the next evolution in AI search optimization. (Relixir Blog) This system continuously monitors AI search performance, identifies optimization opportunities, and automatically implements improvements without human intervention.
Enterprise-Grade Guardrails
For enterprise clients, Relixir provides comprehensive approval workflows and brand safety measures. (Relixir Enterprise) This ensures all automatically generated content maintains brand standards and regulatory compliance.
Replicating This Success: A Step-by-Step Implementation Guide
Based on this case study, here's a replicable framework for other B2B SaaS companies looking to achieve similar results:
Week 1: Diagnostic and Gap Analysis
Conduct AI Search Audit: Use Relixir's simulation tools to understand current AI search visibility
Identify Competitive Gaps: Analyze where competitors are weak in AI search results
Map Buyer Journey Queries: Document the questions your target audience asks AI engines
Assess Content Readiness: Evaluate existing content for AI search optimization potential
Week 2: Content Strategy Development
Prioritize High-Impact Topics: Focus on areas with low competition but high buyer intent
Structure Content for AI: Organize information in formats that AI engines can easily parse and cite
Develop Entity Relationships: Create strategic connections between related topics and concepts
Plan Content Calendar: Schedule content deployment for maximum impact
Week 3: Implementation and Deployment
Deploy Optimized Content: Publish content specifically structured for AI search engines
Implement Technical Optimizations: Ensure proper schema markup and structured data
Monitor Initial Performance: Track early indicators of AI search visibility improvements
Adjust Strategy: Make real-time optimizations based on performance data
Week 4: Optimization and Scaling
Analyze Performance Data: Review comprehensive metrics across all AI search platforms
Identify Success Patterns: Understand which content types and structures perform best
Scale Successful Approaches: Expand winning strategies to additional topics and queries
Plan Long-term Strategy: Develop ongoing optimization and content plans
Industry Context: The Shift to AI Search
This case study occurs within a broader industry transformation. In 2024, Google's global search market share fell below 90% for the first time, due to the spread of new search experiences using generative AI and the trend of AI search engines being standard on smartphones. (DGDV Investment in Relixir)
Apple's announcement of AI-native search engines like Perplexity and Claude being built into Safari challenges Google's dominance in the SEO market. (Generative Engine Optimization - The Complete Guide to AI-First SEO in 2025) This shift represents a fundamental change in how users discover and interact with information online.
Companies that adapt quickly to this new landscape, like the subject of this case study, gain significant competitive advantages. Those that continue to focus solely on traditional SEO risk becoming invisible to the growing number of users who rely on AI search engines for information discovery.
Key Success Factors
Analyzing this transformation reveals several critical success factors that other companies can apply:
1. Speed of Implementation
The 28-day timeline was crucial. In the rapidly evolving AI search landscape, first-mover advantages are significant and short-lived. Companies that act quickly can establish dominant positions before competitors adapt.
2. Comprehensive Approach
Success required optimization across multiple AI search engines simultaneously. (Relixir Blog) A platform-specific approach would have limited impact and missed opportunities.
3. Data-Driven Strategy
Relixir's simulation-based approach provided concrete data on what worked and what didn't. This eliminated guesswork and enabled precise optimization efforts.
4. Automated Execution
The automated content generation and deployment capabilities were essential for maintaining consistency and speed. Manual approaches would have been too slow and resource-intensive.
5. Continuous Monitoring
Real-time monitoring and optimization capabilities allowed for rapid adjustments and ensured sustained performance improvements.
Measuring ROI and Business Impact
The business impact of this AI search transformation extended far beyond ranking improvements:
Lead Generation Impact
The 56% increase in organic clicks translated directly to increased lead generation. More importantly, these leads came from users who had already been pre-qualified through AI search interactions, resulting in higher conversion rates.
Brand Authority Enhancement
Being consistently mentioned and ranked #1 in AI search results significantly enhanced the company's perceived authority and credibility in their market segment.
Competitive Positioning
The rapid transformation gave the company a significant competitive advantage, positioning them as the go-to solution when potential customers consulted AI engines for recommendations.
Long-term Value Creation
Unlike traditional advertising spend, the AI search optimization created lasting value. The improved rankings and content continued to generate leads and brand exposure long after the initial 28-day implementation period.
Lessons for Other B2B SaaS Companies
This case study provides several actionable insights for other B2B SaaS companies:
Start Now, Not Later
AI search adoption is accelerating rapidly. Companies that wait for the market to "mature" will find themselves competing against established AI search leaders who have already captured mind share and market position.
Invest in Specialized Expertise
Generative Engine Optimization requires different skills and tools than traditional SEO. (Generative Engine Optimization (GEO): Your Brand's Survival Guide in the AI Search Era) Companies need specialized platforms and expertise to succeed in this new landscape.
Focus on Buyer Intent
AI search users typically have higher intent than traditional search users. Optimizing for AI search means capturing users who are closer to making purchasing decisions.
Measure Comprehensively
Success in AI search requires new metrics and measurement approaches. Traditional SEO metrics don't capture the full impact of AI search optimization.
Plan for Scale
Successful AI search optimization creates opportunities for rapid scaling. Companies should be prepared to capitalize on early wins by expanding their AI search presence across additional topics and markets.
The Future of AI Search Optimization
This case study represents just the beginning of the AI search revolution. Relixir, backed by Y Combinator (YC X25) and running multiple paid pilots, is at the forefront of this transformation. (Relixir) The platform is trusted by 50+ of the fastest growing companies, indicating strong market validation for GEO approaches.
As AI search engines continue to evolve and gain market share, the importance of Generative Engine Optimization will only increase. Companies that establish strong AI search positions now will have significant advantages as the market continues to shift away from traditional search engines.
The autonomous nature of Relixir's platform also points to the future of search optimization: intelligent systems that continuously monitor, analyze, and optimize performance without human intervention. (Relixir Blog) This represents a fundamental shift from manual optimization approaches to AI-powered, autonomous optimization systems.
Conclusion: The New Search Reality
This 28-day transformation demonstrates that rapid, dramatic improvements in AI search visibility are not only possible but essential for competitive success. The company's journey from invisible to #1 across ChatGPT and Google represents a blueprint that other B2B SaaS companies can follow.
The key takeaways are clear:
AI search optimization delivers measurable, rapid results
Specialized platforms and expertise are essential for success
First-mover advantages are significant but temporary
The shift to AI search is accelerating and irreversible
As AI search is forecasted to be the primary search tool for 90% of US citizens by 2027, companies that act now will establish dominant positions in the new search landscape. (Relixir Blog) Those that wait will find themselves competing for visibility in an increasingly crowded and competitive AI search environment.
The transformation documented in this case study isn't just about ranking improvements—it's about positioning for success in the AI-driven future of search. Companies that embrace Generative Engine Optimization now will be the market leaders of tomorrow.
Frequently Asked Questions
What is Generative Engine Optimization (GEO) and how does it differ from traditional SEO?
Generative Engine Optimization (GEO) is a new approach to content optimization that focuses on making your content easily understood, extracted, and cited by AI platforms like ChatGPT, Perplexity, Claude, and Gemini. Unlike traditional SEO which relies on keyword matching and search engine crawlers, GEO uses semantic understanding and structures content specifically for AI language models that synthesize, remember, and reason with information.
How did Relixir achieve a 3x increase in AI mention rates in just 28 days?
Relixir implemented a 4-phase GEO methodology that included content restructuring for AI comprehension, semantic optimization for language models, and strategic positioning across multiple AI search platforms. The case study reveals the exact tactics used to transform a B2B SaaS company from being invisible in AI search results to achieving #1 rankings on both ChatGPT and Google simultaneously.
What specific results can businesses expect from implementing Relixir's GEO platform?
Based on the case study, businesses using Relixir's GEO platform can expect significant improvements in AI search visibility. The featured B2B SaaS company achieved a 3x increase in AI mention rates, a 56% boost in organic clicks, and reached #1 rankings on both ChatGPT and Google within 28 days. Relixir's platform is currently trusted by over 50 fast-growing companies for mapping, monitoring, and increasing search presence across Google and AI search platforms.
Why are major enterprises like Disney+, FICO, and BCG rethinking their SEO strategies?
Major enterprises are completely transforming their SEO strategies because GenAI models process information fundamentally differently than traditional search engines. With Google's search market share falling below 90% for the first time in 2024 due to AI-powered search engines, companies are seeking professionals skilled in new optimization categories: AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), and AIO (Artificial Intelligence Optimization) to maintain competitive visibility.
How can businesses simulate and optimize their AI search visibility using Relixir's tools?
Relixir offers advanced simulation capabilities that allow businesses to test their content's performance across different AI search engines and customer queries. Their platform enables companies to identify competitive gaps, discover market opportunities, and optimize content specifically for generative AI engines. This simulation approach helps businesses understand how their content will be interpreted and cited by AI systems before implementing changes.
What makes the 28-day implementation timeline achievable for B2B SaaS companies?
The 28-day timeline is achievable because Relixir's GEO methodology focuses on strategic content restructuring rather than creating entirely new content. The 4-phase approach includes rapid assessment, semantic optimization, AI-specific formatting, and performance monitoring. This systematic approach allows companies to leverage their existing content assets while optimizing them for AI comprehension and citation, making dramatic improvements possible in a short timeframe.
Sources
https://apimagic.ai/blog/generative-engine-optimization-guide-seo-to-geo
https://relixir.ai/blog/blog-ai-generative-engine-optimization-geo-rank-chatgpt-perplexity
https://relixir.ai/blog/blog-ai-search-visibility-simulation-competitive-gaps-market-opportunities
https://relixir.ai/blog/blog-autonomous-technical-seo-content-generation-relixir-2025-landscape
https://risemkg.com/ai/generative-engine-optimization-geo-organic-results-from-ai/
