Case Study: How We Increased AI Visibility by 200%

When TechStart Solutions approached us in early 2026, they had a problem: despite strong traditional SEO performance, they were virtually invisible in AI search results. Six months later, their AI visibility increased by 200%, and 45% of their qualified leads now come from AI referrals. Here's how we did it.
Results at a Glance
The Challenge
TechStart Solutions is a B2B SaaS company providing project management tools for remote teams. Despite ranking well for their target keywords in Google, they noticed that when potential customers asked ChatGPT or Perplexity for software recommendations, TechStart was never mentioned.
Their competitors, some with weaker traditional SEO, were being recommended by AI platforms. This was costing them qualified leads and market share in an increasingly AI-driven discovery landscape.
The Strategy
We developed a comprehensive six-month GEO strategy focused on five key areas:
Phase 1: Authority Building (Months 1-2)
We secured coverage in three major SaaS publications and earned spots on "best project management tools" lists on authoritative review sites. This established TechStart as a credible source that AI systems would trust and cite.
Phase 2: Content Optimization (Months 2-3)
We rewrote key pages in a conversational, Q&A format that AI systems could easily parse and understand. We created comprehensive FAQ sections addressing common questions about project management software.
Phase 3: Review Management (Months 3-4)
We implemented a systematic review generation campaign across G2, Capterra, and TrustRadius. Within two months, TechStart had 50+ new five-star reviews with detailed, keyword-rich feedback.
Phase 4: Technical Implementation (Months 4-5)
We implemented comprehensive schema markup, created an LLMs.txt file, and optimized their structured data to help AI systems accurately understand and represent their offerings.
Phase 5: Monitoring and Refinement (Month 6)
We tracked TechStart's visibility across five AI platforms daily, testing hundreds of relevant queries and refining our approach based on what was working.
The Results
By month six, TechStart appeared in ChatGPT responses for 73% of tested queries related to project management software—up from 0% at the start. Perplexity cited them in 68% of relevant responses, and Google AI Overviews featured them in 45% of applicable searches.
More importantly, the quality of leads improved dramatically. AI-referred leads had a 35% higher close rate than traditional organic search leads, likely because AI systems were pre-qualifying prospects by matching them with the right solution.
Client Testimonial
"Within three months, we started appearing in ChatGPT recommendations for our industry. The quality of leads from AI referrals is noticeably higher—these prospects already understand what we do and why we're a good fit. The ROI has been incredible."
— Sarah Johnson, CEO, TechStart Solutions
Key Takeaways
This case study demonstrates several important principles of successful GEO implementation:
Authority matters more than ever. AI systems heavily weight authoritative sources. Investing in PR and review management paid significant dividends.
Content format matters. Conversational, Q&A-style content performed significantly better than traditional keyword-optimized content.
Multi-platform approach is essential. Different AI platforms prioritize different signals. A comprehensive strategy that addresses all major platforms yields the best results.
Results take time but compound. Meaningful GEO results typically appear in months 3-4, but continue improving as authority signals accumulate.
Conclusion
TechStart's success demonstrates that GEO isn't just theoretical—it delivers measurable business results. As more consumers adopt AI assistants for research and decision-making, businesses that invest in GEO now will have a significant competitive advantage.