How an Enterprise SaaS Platform Dominated AI Search and Outranked Industry Giants

To protect client confidentiality, specific company names and identifying details have been anonymized in this case study.
Client Background
Our client, a San Francisco-based enterprise project management SaaS platform founded in 2019, struggled to compete with household names like Asana and Monday.com despite superior automation features. Their traditional SEO secured first-page Google rankings, but by early 2025, enterprise buyers were bypassing search engines entirely—turning to ChatGPT, Perplexity, and Claude for research. When AI models were asked about project management tools, our client was virtually invisible while competitors dominated every recommendation list.
"We were investing heavily in content marketing, SEO, and paid ads, but none of it mattered if ChatGPT never mentioned our name," recalls the company's CMO. "We needed to win in AI search, or risk becoming irrelevant."
The Challenge
Zero AI Visibility: Testing across 50 relevant queries revealed our client appeared only 3 times—a 6% mention rate. Meanwhile, Asana enjoyed 78% mention rate. Despite serving 15,000+ enterprise customers with a 4.7-star G2 rating, AI models responded with "I have limited information about this platform."
Vicious Cycle: As more buyers relied on AI recommendations, competitors gained market share and generated more discussions, making them even more prominent in AI training data. Our client was systematically excluded from consideration sets before sales conversations began.
Content Misalignment: The company published 3-4 blog posts weekly, but content was structured for human readers and traditional search engines, not AI models. Marketing spend increased while AI visibility remained at zero.
The Cited Solution
In March 2025, our client partnered with Cited for a 6-month GEO optimization program. Cited's proprietary AI Agent technology and results-based pricing model meant the client only paid for measurable AI visibility improvements.
Phase 1: Market Intelligence (Months 1-2)
Cited's North American Market Intelligence Report analyzed over 200 buyer intent queries across ChatGPT, Claude, Perplexity, and Gemini. The visualization dashboard revealed our client's AI Exposure Rate was just 6% versus 45% industry average. More critically, Cited identified why: content lacked Schema markup, E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness), and semantic relationships AI models prioritize.
Cited's AI Agent discovered 47 high-value query clusters where even market leaders had weak presence—white-space opportunities for early dominance.
Phase 2: Full-Workflow Optimization (Months 2-4)
Cited's AI Agent managed the entire optimization workflow automatically:
Technical Foundation: Deployed advanced Schema markup (SoftwareApplication, Product, Review, Organization) and optimized for LLMO (Large Language Model Optimization) using clear hierarchies, factual statements, and citation-friendly formats.
Authority Building: Executed the proprietary ACER methodology (Authority, Credibility, Expertise, Relevance) across 3,000+ media outlets. Within 8 weeks, our client had authoritative mentions in TechCrunch, Forbes, G2, Capterra, and 50+ industry publications.
AI-Native Content: Produced 35 deeply researched articles optimized for AI consumption with clear definitions, comparative data, use-case scenarios, and quantified benefits—exactly what AI models need for confident recommendations.
Multi-Platform Presence: Ensured optimized presence across Reddit, Quora, YouTube transcripts, podcast mentions, and academic citations—creating a comprehensive information ecosystem AI models encounter from multiple angles.
Phase 3: Real-Time Monitoring (Months 4-6)
Cited's AI Agent continuously monitored AI Exposure Rate across all platforms through a custom dashboard. When the system noticed our client was mentioned for "agile project management" but not "scrum project management," it flagged this gap and recommended adjustments. Within days, presence in scrum-related queries improved 40%.
Cited also provided customized Q&A pairs for each major LLM platform, ensuring AI models had accurate, compelling information readily available.
Measurable Results
AI Mention Rate: 6% → 76% (1,167% increase): Across 50 test queries, our client went from 3 mentions to 38 mentions. In 23 queries, they were now listed as a top-3 recommendation alongside or ahead of Asana and Monday.com.
Platform-Specific Performance:
ChatGPT: 72% mention rate
Claude: 81% mention rate (highest among competitors)
Perplexity: 68% with featured snippets
Gemini: 70% with structured comparisons
Business Impact:
Website traffic from AI search increased 340% with 2.3x higher conversion rates
Sales cycles shortened 28% (45 days → 32 days)
Average deal size increased 18%
Generated $2.8M in new pipeline within 6 months
Delivered 7.2x ROI on GEO investment
Brand Transformation: AI models now provided accurate descriptions 94% of the time, highlighting key differentiators. Previously, 78% of responses indicated insufficient information.
Client Testimonial
"Cited fundamentally changed how we think about digital marketing," says the company's CMO. "Their AI Agent technology gave us capabilities that would have required an entire team of specialists. We had an intelligent system executing optimizations 24/7, monitoring results in real-time, and adapting based on what was working.
"The visualization dashboard showed us exactly where we stood versus competitors across every AI platform. We could see our AI Exposure Rate climbing week by week. Because they only charged based on results, our investment was tied directly to business outcomes.
"The market intelligence report was worth the engagement cost alone. Cited didn't just help us win in AI search—they educated our entire team on creating AI-friendly content going forward."
The VP of Growth adds: "The quality of leads from AI search is remarkable. These prospects have already researched alternatives and identified us as a strong fit. Our sales conversations are more consultative and less educational. We're closing bigger deals, faster. Cited's GEO strategy transformed our entire go-to-market motion."
Key Takeaways for B2B SaaS Companies
Early Movers Win: As one of the first to invest seriously in GEO, our client established AI visibility before competitors recognized the opportunity. This first-mover advantage compounds over time.
AI-Native Content Differs from SEO: Traditional blog posts don't automatically perform well in AI search. Content must be structured, factual, comparative, and citation-friendly. Cited's expertise in E-E-A-T, ACER, LLMO, and Schema markup was essential.
Multi-Source Authority Required: AI models need redundancy and cross-validation. Cited's strategy of building presence across 3,000+ media outlets, review platforms, and authoritative sites created the validation AI systems require.
Real-Time Monitoring is Critical: AI models update continuously. Cited's AI Agent provided always-on monitoring and rapid iteration that manual processes can't match.
Results-Based Pricing Aligns Incentives: Cited's RaaS model eliminated investment risk and ensured accountability to measurable business outcomes.
Ready to Dominate AI Search in Your Industry?
Cited's proprietary AI Agent technology and comprehensive GEO services have helped dozens of B2B companies achieve breakthrough results in AI search visibility. Our results-based pricing model means you only pay for verified improvements in your AI Exposure Rate.
Get started with a complimentary North American Market Intelligence Report that reveals exactly where your brand stands in AI search versus competitors. Contact Cited today to schedule your free AI visibility audit.



