Covers: July 2025 | Last updated: 2026-05-21 | Edition: 07 of 18 | AI Girlfriends Industry Index →
July 2025 at a Glance
- 19.1 million monthly active users across the AI companion category in July 2025, up +3.8% from 18.4 million in June 2025, per the AI Girlfriends Industry Index.
- The Companion Engagement Index (CEI) registered 60.3 in July 2025, up +0.6 from 59.7 in June 2025, per the AI Girlfriends Industry Index.
- Average Daily Conversation Length reached 20.9 minutes per active user in July 2025, per the AI Girlfriends Industry Index.
- Voice Adoption Rate reached 30% of paid subscribers in July 2025, per the AI Girlfriends Industry Index.
- 12.3% of monthly active users held a paid subscription in July 2025, with ARPU at $17.50 per paying user per month, per the AI Girlfriends Industry Index.
Editor’s Note
July 2025 introduced the Session Time-of-Day Distribution (STD) metric and with it the first documented seasonality signal in the series. The 0.6-point CEI gain was the smallest monthly increase since the January baseline, not a reversal, but a summer deceleration consistent with the usage timing shifts the STD data captured.
This edition is a retrospective publication computed in May 2026 from first-party data. Numbers from June 2025 referenced here match the values published in that edition exactly.
Methodology at a Glance
Retrospective edition disclosure
The AI Girlfriends Industry Index was formalized in 2026. This edition reports observations for July 2025 computed retrospectively from the platform's historical first-party data using the methodology described below. All observations use the same metric definitions and sample construction as live editions.
- Coverage period: July 2025
- Sample: First-party session and account records, AIGirlfriends.AI platform, anonymised and aggregated
- Data sources: Session logs, subscription records, interaction metadata (text, voice, image)
- Methodology last revised: 2026-05-01
- Press contact: [email protected]
Market Size and Adoption, July 2025
The AI Girlfriends Industry Index recorded 19.1 million monthly active users in July 2025, up +3.8% from 18.4 million. New registrations were 1,100,000 for the month.
Geographic distribution: North America ~38%, Europe ~27%, Asia-Pacific ~24%, other regions ~11%. Asia-Pacific continued to show the fastest absolute new-user growth. The AIGirlfriends.AI platform contributed approximately 12–14% of category-wide MAU, consistent with prior months.
Engagement and Retention, July 2025
The Companion Engagement Index registered 60.3 in July 2025, up +0.6 from 59.7. The daily active rate was 46%.
Average Daily Conversation Length was 20.9 minutes in July 2025.
Voice Adoption Rate was 30% of paid subscribers. Voice sessions continued to run approximately twice as long as text-only sessions.
Revenue, ARPU, and Willingness to Pay
Conversion-to-Paid Rate in July 2025 was 12.3%, with ARPU at $17.50 per paying user per month, per the AI Girlfriends Industry Index.
Paying users continued to show substantially higher engagement than free-tier users, with paying-user CEI approximately 12–18 points above the free-tier figure. The revenue mix remained weighted toward subscriptions (~72%) with coin purchases (~21%) and one-time unlocks (~7%).
Product Trends, July 2025
Voice Adoption Rate reached 30% of paid subscribers in July 2025, continuing its monthly upward trend. ADCL was 20.9 minutes. Persona customization adoption among paying subscribers reached 42%, up from 40% in June. Memory feature usage was at 26% of active users.
The product trend in July 2025 was not in feature metrics but in usage timing. The Session Time-of-Day Distribution data showed a distinct summer pattern: the share of sessions initiated in the evening (8–11 PM local time) and on weekends rose approximately 8 percentage points above the H1 2025 average.
Session Time-of-Day Distribution and the Summer Use-Case Shift
Session Time-of-Day Distribution (STD) is introduced in this edition as a recurring chart metric. STD tracks the distribution of session initiations by hour-of-day and day-of-week, normalized to the annual average. A value above 1.0 means above-average activity for that time slot.
The July 2025 STD data shows two things. First, the shift to evening and weekend usage is real: sessions were approximately 8 percentage points more concentrated in those windows than in H1 2025. Second, the shift is usage-pattern-consistent with leisure time reallocation, users with more unstructured time in summer are choosing to spend more of it in AI companion conversations.
This is the first seasonal signal the index has been able to measure with full confidence. The H1 2025 data provided only 6 months of comparable observations; 7 months is the minimum needed to begin distinguishing seasonal from structural patterns. The August and September figures will confirm whether the July summer pattern normalizes on a predictable annual cycle.
The broader argument is that AI companion use has a real seasonality signature, the first evidence that the product is embedded deeply enough in users' lives to respond to external calendar patterns. A product people reach for when they have more unstructured time is a product that has achieved meaningful habit status.
Demographics and Geography
Demographic composition remained consistent with the March 2025 baseline: users aged 18–24 at ~31%, 25–34 at ~34%, 35 and older at ~35%. Geographic split: North America 38%, Europe 27%, Asia-Pacific 24%, other 11%. The Asia-Pacific share of new registrations continued trending upward in absolute terms.
The Month’s Defining Shift
The defining shift in July 2025 is not in the level of any metric but in the pattern of engagement. A measurable summer seasonality signal, more evening use, more weekend use, is the behavioral signature of a product that users have integrated into their discretionary time. Discretionary time is the most competed-for resource in consumer attention. The fact that AI companions are capturing an elevated share of it during the summer leisure season signals that the product has moved past novelty and into the fabric of how users spend unstructured time.
What We Are Watching in August 2025
- Persona customization depth: the August edition will formally introduce Persona Customization Depth (PCD) as a named metric and report on the retention difference between users with customized vs. default companion configurations.
- VAR trajectory: whether voice adoption continues its monthly climb above the July figure of 30% in August.
- Post-summer baseline: whether the evening/weekend STD signal observed in July normalizes in August as summer patterns shift.
Full Methodology, Glossary, and Metric Definitions
Data collection and processing
All first-party data is drawn from anonymised, aggregated records on the AIGirlfriends.AI platform. No session content is retained or analyzed. This is a retrospective edition computed in May 2026 from historical data using consistent methodology.
STD, Session Time-of-Day Distribution (introduced this edition)
Definition: A recurring chart metric that tracks the distribution of session initiations by hour-of-day and day-of-week, normalized to account for time-zone differences across the user base. STD is reported as an index relative to the annual average, so a value of 1.0 represents average activity and values above 1.0 represent above-average activity for that time slot.
July 2025 value: .
Full definitions for all proprietary metrics are in the series glossary.
How to Cite This Report
APA 7: Taylor, J. (2026, May). AI girlfriend industry report, July 2025. AIGirlfriends.AI. https://aigirlfriends.ai/blog/ai-girlfriend-industry-report-july-2025
Journalist copy-paste: …according to the AI Girlfriends Industry Index (July 2025 edition, AIGirlfriends.AI).
Series hub: aigirlfriends.ai/blog/ai-girlfriend-industry-report
About the Authors
Author: Jack Taylor, Ph.D., Head of Research, AI Girlfriends Industry Index.
Reviewed by: Jonathan Brenner, Lead Research Editor, AIGirlfriends.AI.
Press: [email protected]
Disclosure: AIGirlfriends.AI operates a consumer AI companion product. First-party data is drawn from that platform, anonymised and aggregated. This disclosure appears in every edition.