Case Study: Citable × DREAM Venture Labs

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How an AI-native nonprofit increased its visibility across major AI engines in 30 days

About DREAM Venture Labs

DREAM Venture Labs is a nonprofit organization supporting immigrant founders, students, and small businesses across Massachusetts. Despite strong programs, a newly revamped website, and recognition in the community, the organization faced a critical challenge: search engines were no longer the primary discovery channel. AI engines were.

By mid-2024, ChatGPT, Claude, Perplexity, Gemini, and LLaMA-based chatbots had become the default place where students, founders, and donors asked questions like "free programs for immigrant founders," "nonprofit visa support," "fundraising training in Boston," and "community business incubators."

DREAM wasn't appearing consistently. They turned to Citable to fix that.

The Challenge

The Traditional SEO Paradox

Even with strong SEO, DREAM Venture Labs faced three critical problems that traditional search optimization could not solve

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AI models referenced old programs that no longer existed, wrong eligibility requirements, out-of-date partner schools, and incorrect contact information.

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A "founder in Boston" got completely different answers than a "colleague in Denver"—often omitting DREAM entirely. The organization's reach was being artificially limited by AI's inconsistent understanding.

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DREAM's story was spread across many subpages. Models struggled to piece together the full picture of what DREAM actually does, making them less likely to recommend the organization.

Core Problem: DREAM wasn't being understood by AI, pushing it below organizations with bigger budgets or more online content.

The Solution: Citable's AI Visibility Engine

Citable deployed its full GEO stack—the M.A.P. Framework (Memory Fit, Authority Graph, Prompt Surface), persona-based AI accounts, geographical sensitivity testing, and cross-engine campaign tracking.

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Phase
Description
Scale


Multi-Persona Testing
Memory-enabled AI accounts simulating immigrant founders, nonprofit leaders, college advisors, grant writers, students, and small business owners
200+ accounts


Geographic Mapping
Mapped visibility across all U.S. states and international markets, revealing blind spots
50 states + 20 countries


Content Optimization
Generated model-friendly structured content matching how LLMs parse organization data
Full site optimization


Cross-Engine Campaigns
Structured test cycles tracking appearance, ranking, and content influence
Thousands of cycles


Program Analytics
Performance tracking for Launch Incubator, Growth Accelerator, and Build Fellowship
Ongoing monitoring

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AI engines personalize answers based on learned "memory clusters." This approach exposed inconsistencies invisible to standard SEO, revealing how different personas received wildly different information about DREAM.

Results (30-Day Campaign)

+270%
Increase in Total AI Visibility

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Overall Visibility
18% → 67%
Across GPT-4.1, Claude 3.5 Sonnet, Perplexity, and Gemini



Persona Consistency
22% → 81%
Students, founders, and nonprofit leaders now receive consistent information



Geographic Coverage
8 → 48
States covered (500% expansion), especially in areas with large immigrant populations



Hallucinations Reduced
-63%
Models stopped mentioning discontinued programs and corrected eligibility descriptions

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  Community incubators for immigrants
  2.5× increase


  





  Nonprofit founder support MA
  2.3× increase


  





  Training for immigrant entrepreneurs
  2.4× increase


  





  No-cost fundraising course MA
  2.8× increase

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Within 45 days of campaign launch:

Student applications increased — More qualified candidates discovering programs
Partner programs reached out — New collaboration opportunities from AI discovery
Universities requested info sessions — Academic institutions seeking partnership
Immigrant founders discovered Build Fellowship — Directly fulfilling the organization's mission
Donors learned about DREAM from AI engines — New funding sources through AI-driven discovery

Why This Case Matters

DREAM Venture Labs is not a massive nonprofit with a million-dollar media budget. They're lean, mission-driven, and community-focused. AI discovery was supposed to be a disadvantage.

Instead, with Citable, it became a strategic advantage.

In a world where users increasingly ask AI instead of searching Google, DREAM became the organization most likely to appear—accurate, visible, and recommended.

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Before Citable
After Citable



  

    - Invisible to most AI queries

    - Inconsistent persona responses

    - Geographic limitations

    - Hallucinated information

    - Fragmented messaging

  



  

    - 67% visibility across major AI engines

    - 81% persona consistency

    - 48-state coverage

    - 63% fewer hallucinations

    - Unified, accurate messaging

Key Takeaways

Lessons from the DREAM Campaign

**AI visibility is persona-relative.** Different audiences receive different narratives. Optimizing for "everyone" means optimizing for no one.


**Geographic testing is essential.** Your AI visibility in Boston might be strong while San Francisco sees nothing. Test across locations.


**Memory-enabled personas reveal hidden issues.** Traditional testing misses how AI evolves its understanding over time.


**Consistency beats volume.** A small, coherent message across AI engines outperforms scattered, inconsistent mentions.


**Nonprofits can compete.** Budget size doesn't determine AI visibility. Structure, consistency, and strategic optimization do.

The Technology Behind the Success

Citable's M.A.P. Framework in action:

Memory Fit — Tracked how each persona's understanding of DREAM evolved over weeks of interactions, optimizing for positive memory trajectories.

Authority Graph — Strengthened DREAM's trust spine by ensuring high-authority sources consistently mentioned the organization in the right contexts.

Prompt Surface — Expanded DREAM's answer footprint across the queries and intents that mattered most to their mission.

200+
AI Accounts


70
Locations Tested


1,000s
Test Cycles


4
Major AI Engines

What's Next for DREAM

With their AI visibility foundation established, DREAM Venture Labs is now:

Expanding program offerings with confidence that AI will accurately communicate new initiatives
Launching targeted campaigns for specific personas (students vs. founders vs. donors)
Monitoring visibility metrics to maintain and improve their strong position
Leveraging AI insights to understand what questions their community is asking

"Citable didn't just increase our visibility—they gave us a systematic way to understand and shape how AI talks about our mission. That's invaluable for any organization in 2025."

— DREAM Venture Labs Team

Ready to Transform Your AI Visibility?

Whether you're a nonprofit, a B2B SaaS company, or a consumer brand, the principles that worked for DREAM Venture Labs can work for you:

Measure your current AI visibility across engines, personas, and geographies
Diagnose inconsistencies, hallucinations, and gaps in your story
Optimize your content and authority signals using the M.A.P. Framework
Monitor your progress with continuous testing and tracking

Start Your Free Trial

About Citable

Citable is the first AI visibility platform built specifically for the M.A.P. Framework. We help brands measure, diagnose, and improve how AI engines remember, trust, and recommend them across personas, regions, and time.

Join DREAM Venture Labs and hundreds of other organizations leveraging AI visibility as their competitive advantage.