What is Passionfruit Labs?
Passionfruit Labs is the definitive AI Search Optimization platform, engineered to help growing brands and agencies control their narrative and revenue in the generative search era. As consumer discovery shifts from traditional web search to conversational AI platforms like ChatGPT, Claude, and Gemini, Passionfruit provides the critical visibility and actionable intelligence you need to track citations, manage brand sentiment, and attribute tangible revenue from these new channels. Stop guessing how Large Language Models (LLMs) talk about your brand; start shaping the conversation today.
Key Features
Passionfruit provides a comprehensive suite of tools designed exclusively for the AI search landscape, enabling you to measure performance, benchmark against competitors, and execute precise content strategies across every major LLM.
🔗 Page-Level Citation Tracking
Traditional tracking often provides vague mentions, but Passionfruit delivers high-fidelity data by tracking specific, page-level citations across LLMs. You discover precisely which of your website URLs are being recommended by AI answers, allowing you to adapt your content strategy to focus on the pages that create the highest performance delta.
💰 Real Revenue Attribution from AI Channels
Seamlessly integrate with Google Analytics to track sessions, key events, and total revenue originating directly from AI search platforms (ChatGPT, Perplexity, etc.). This capability moves AI visibility beyond vanity metrics, proving the direct ROI of your AI optimization efforts and enabling data-driven budget allocation.
📊 Real-Time Competitor Benchmarking
Instantly measure your AI Share of Voice and industry ranking against unlimited competitors. The platform helps you identify "missed prompts"—queries where your brand is invisible but competitors are mentioned—allowing you to quickly reverse engineer successful strategies and capture competitor traffic by addressing these content gaps.
💡 Agentic Content Recommendations
Ditch the data dumps and confusing dashboards. Passionfruit provides instant, prioritized, step-by-step action plans for optimizing your content. These suggestions are agentic, meaning they are designed to fill competitor gaps and directly increase your visibility on relevant AI answers, leading to measurable results faster than traditional content planning.
🗣️ Brand Mentions & Sentiment Analysis
Take control of your brand narrative across every major LLM. The platform analyzes the exact context in which your brand is mentioned, tracking sentiment (positive, neutral, negative) in real-time. This allows you to quickly detect and mitigate reputation risks or amplify positive messaging where it matters most.
Use Cases
Passionfruit Labs enables marketing teams to move from reactive monitoring to proactive revenue generation in the age of generative AI.
Protecting and Shaping Brand Narrative: Before a major product launch, use Passionfruit to monitor how ChatGPT and Gemini respond to key queries about your new offering. If negative or inaccurate sentiment is detected, you receive instant alerts and actionable steps to optimize the source content, ensuring LLMs consistently present your brand with accuracy and positive framing.
Optimizing for High-Value AI Queries: An e-commerce brand identifies that queries like "Find a stylish blazer for work" frequently cite a competitor, costing them potential sales. Using Passionfruit's suggested action plan, the team creates a dedicated, highly optimized collection page for "Work Blazers," immediately leading to page-level citations and a measurable increase in attributed revenue from AI search sessions.
Scaling Content Strategy Based on Proven Citations: A B2B agency notices that their "Comprehensive Guide to Summer Essentials" blog post is being repeatedly cited by Claude and Perplexity. They use Passionfruit's data to understand the exact context of the citation, allowing them to adapt their strategy to produce more high-authority, foundational content pieces that LLMs favor, accelerating their organic growth and thought leadership.
Why Choose Passionfruit Labs?
The Generative Engine Optimization (GEO) market is evolving, and traditional tools often provide overwhelming data without clear direction, often at a prohibitive cost. Passionfruit is purpose-built for the AI era, offering superior functional value and transparency.
| Competitor Pain Point (Traditional GEO Tools) | Passionfruit Solution (Value Proposition) |
|---|---|
| Data Overload: Drowning in dashboards with no clear action items. | Actionable Insights: Prioritized, step-by-step action plans that drive real results. |
| Vague Attribution: Tracking basic mentions, with no link to revenue. | Revenue Focus: Track real revenue and sessions from each specific AI channel. |
| Slow Insights: Waiting days for content insights. | Instant Recommendations: Instant, actionable content strategies tailored to beat competitors. |
| Limited Scope: Only track basic mentions or incomplete citations. | Depth & Precision: Page-level citation tracking with specific URL analysis. |
| High Cost: $500+/month for basic features with per-user fees. | Value Pricing: Complete platform starting at $19/month, including unlimited team collaboration. |
Conclusion
Passionfruit Labs transforms the uncertainty of the AI search landscape into a measurable, controllable revenue channel. By combining deep, multi-platform analytics with precise, actionable recommendations, you gain the authoritative control needed to succeed in the future of search.





