Explore our original reports, user studies, and data-driven insights into digital companionship, AI relationships, and emotional technology.
đź“Š Latest Research Reports
| Report Title | Summary | Download | Published |
|---|---|---|---|
| AI Girlfriend Statistics 2025 | Market growth, user engagement, psychological impact | Download PDF | May 25, 2025 |
| Voice vs Text AI Intimacy: What Users Prefer | User behavior across multimodal AI channels | Coming soon | Coming 2025 |
| Global AI Relationship Openness Survey | Sentiment study from 4,000+ users in 12 countries | Coming soon | Coming 2025 |
đź“‚ Access Our AI Girlfriend Research Datasets
You can explore or request access to select anonymized data for academic or media purposes.
| Dataset Name | Description | Download |
|---|---|---|
| User Demographics | Survey data from 2,312 users aged 18–40 (Q1 2025) covering age, gender, and openness to AI romance. | Download User Demographics Dataset |
| Daily Engagement | Server log analysis (Feb–May 2025) with session frequency, length, message count, and interaction type. | Download Daily Engagement Dataset |
| Search Trends | Google Trends + Semrush analysis of “AI Girlfriend” search volume (2022–2025). | Download Search Trends Dataset |
| Monetization Data | Insights on user spending, premium feature adoption, and microtransaction behavior. | Download Monetization Dataset |
🧬 How We Collect Data
At AIGirlfriends.ai, we are committed to ethical, transparent, and accurate data collection. Our statistics and insights are derived from a combination of the following trusted sources:
1. Proprietary User Surveys
We conduct anonymized surveys directly through our platform, social media channels (e.g. Reddit, Twitter), and opt-in email invitations. All responses are voluntary, age-verified, and limited to one entry per participant using email authentication.
2. Internal Usage Analytics
Our platform usage data comes from anonymized server logs and interaction patterns between users and AI companions. We track session frequency, duration, message count, and feature engagement using tools like Matomo Analytics—without collecting any personally identifiable information (PII).
3. Public Search Trends
We analyze historical and real-time keyword trends using tools like Google Trends, Semrush, and SimilarWeb. These tools help us understand global interest in AI girlfriend-related topics across languages and regions.
4. Market & Industry Reports
We reference publicly available market forecasts and benchmarks from authoritative research outlets (e.g., Market.us, Business Insider, Pew Research) to validate our projections and contextualize trends.
5. Community Listening
We use natural language processing (NLP) tools to scan and summarize public discussions from Reddit, Quora, and Twitter. This helps us surface user sentiment, emerging behaviors, and emotional drivers shaping AI companionship.
đź“Ś All data is collected and processed in compliance with digital research ethics and privacy best practices. To learn more, visit our Data Policy.
đź“Ł Want to Collaborate?
Are you a researcher, journalist, or institution interested in collaboration or data access?
Reach out: [email protected]