The Challenge
Client: A B2B analytics platform for SaaS companies specializing in ARR tracking, churn analysis, and revenue forecasting.
Problem: Despite strong Google rankings for target keywords, the company was completely invisible when prospects asked ChatGPT or Claude for recommendations. Major competitors were consistently cited instead, directly impacting their pipeline.
Key Pain Points:
- Zero mentions across AI platforms when users searched for solutions
- Perplexity cited 5 direct competitors but never this brand
- Sales team reported multiple prospects saying "ChatGPT recommended [competitor]"
- No way to measure or track AI platform performance
- Losing deals to competitors who owned the AI recommendation space
Timeline: 90-day engagement (Jan - March 2025)
Investment: $8,500/month
Our Approach
Phase 1: AI Visibility Intelligence (Weeks 1-2)
We conducted comprehensive AI visibility mapping across ChatGPT, Claude, Perplexity, and Gemini, testing 75 high-value prompts that their target customers actually use.
Discovery Findings:
- Client was cited 0 times out of 75 prompts tested
- Primary competitor: 42 mentions
- Secondary competitor: 38 mentions
- Tertiary competitor: 31 mentions
Strategic Gaps Identified:
- Content structure wasn't optimized for AI extraction patterns
- Missing critical authority signals that AI engines prioritize
- Information architecture made it difficult for AI to understand their expertise
- Competitive positioning wasn't clear in AI-digestible format
Phase 2: Strategic Content & Authority Engineering (Weeks 3-8)
Content Transformation:
- Restructured homepage and core pages with AI-extraction architecture
- Created comprehensive industry knowledge resource (40+ authoritative definitions)
- Developed definitive long-form guide (5,000+ words, engineered for citation)
- Transformed 8 existing blog posts with enhanced answer architecture
- Built strategic comparison content positioning them against market leaders
Authority & Entity Engineering:
- Implemented comprehensive brand identity framework
- Deployed advanced structured information architecture
- Enhanced organizational authority signals across the site
- Created clear expertise and credibility markers
- Built topic authority through strategic content clustering
Strategic Content Assets:
Published 4 high-authority educational pieces:
- Industry calculation methodology guide
- Key terminology disambiguation article
- Essential metrics framework for founders
- Data-driven retention optimization guide
Phase 3: Performance Tracking & Continuous Optimization (Weeks 9-12)
Intelligence & Iteration:
- Monitored same 75 prompts weekly across all platforms
- Tracked competitive mention patterns and shifts
- Identified highest-performing content types
- Refined strategy based on real citation data
Strategic Adjustments:
- Week 9: Expanded comparison content after identifying high-performance pattern
- Week 10: Enhanced knowledge resource (drove 40% of early citations)
- Week 11: Developed interactive tool (became highly citable asset)
- Week 12: Optimized for long-tail discovery prompts
The Results
Citation Performance (90 Days)
Baseline (Week 0):
- ChatGPT mentions: 0/75 prompts (0%)
- Claude mentions: 0/75 prompts (0%)
- Perplexity mentions: 0/75 prompts (0%)
- Gemini mentions: 0/75 prompts (0%)
- Total: 0/300 tests (0%)
After Optimization (Week 12):
- ChatGPT mentions: 28/75 prompts (37%)
- Claude mentions: 31/75 prompts (41%)
- Perplexity mentions: 22/75 prompts (29%)
- Gemini mentions: 19/75 prompts (25%)
- Total: 100/300 tests (33%)
Net increase: 33 percentage points in citation rate
Business Impact
Pipeline & Revenue:
- 47 qualified demo requests directly attributed to AI discovery
- 12 closed deals with clear AI-sourced attribution
- $186,000 in new ARR from AI-discovered prospects
- Average sales cycle reduced by 8 days (prospects arrived pre-educated)
Content Performance:
- Industry knowledge resource: 40% of all citations
- Comparison content: 23% of citations
- Definitive guide: 18% of citations
- Educational articles: 19% of citations
Market Positioning:
- Now cited alongside (not behind) category leaders
- Became the recommended "alternative" in 19/75 competitive prompts
- Owns specific niche prompts with 90%+ citation rate
- Established as authoritative source in target category
Return on Investment
- Total Investment: $25,500 (3 months × $8,500)
- Direct Attributed Revenue: $186,000 in new ARR
- First 90-Day ROI: 729%
- Ongoing Value: Citations continue generating qualified pipeline with zero additional ad spend
- LTV Impact: Average customer LTV is $45K, meaning $540K in total customer value from initial 12 deals
Client Testimonial
"We had strong Google rankings but were completely invisible where our prospects were actually searching—in ChatGPT and Claude. Within 90 days, we went from zero AI citations to being recommended alongside the biggest names in our space. Now we're getting inbound demos from prospects who've already been convinced by AI recommendations—they just want to see the product. It's transformed our inbound pipeline."
— VP of Marketing, B2B SaaS Analytics Platform
Key Success Factors
What Drove Results:
- ✅ Educational, authoritative content over promotional material
- ✅ Comprehensive knowledge resources in highly citable formats
- ✅ Strategic competitive positioning content
- ✅ Proprietary content architecture for AI extraction
- ✅ Answer-first information structure
- ✅ Continuous optimization based on citation data
Initial Challenges Overcome:
- ❌ Promotional content (never generated citations)
- ❌ Traditional SEO-optimized content (AI engines couldn't extract effectively)
- ❌ Unstructured long-form content (too difficult for AI to parse)
- ❌ Lack of competitive context (AI engines need comparison frameworks)
Results Timeline
- Week 4: First citations appeared in testing
- Week 6: Consistent citation pattern established
- Week 8: First AI-attributed demo request
- Week 10: Citation rate reached 25%
- Week 12: 100+ total citations, 12 closed deals