Covers: August 2025 | Last updated: 2026-05-21 | Edition: 08 of 18 | AI Girlfriends Industry Index →
August 2025 at a Glance
- 20.2 million monthly active users across the AI companion category in August 2025, up +5.8% from 19.1 million in July 2025, per the AI Girlfriends Industry Index.
- The Companion Engagement Index (CEI) registered 61.8 in August 2025, up +1.5 from 60.3 in July 2025, per the AI Girlfriends Industry Index.
- Average Daily Conversation Length reached 21.4 minutes per active user in August 2025, per the AI Girlfriends Industry Index.
- Voice Adoption Rate reached 32% of paid subscribers in August 2025, per the AI Girlfriends Industry Index.
- 13.0% of monthly active users held a paid subscription in August 2025, with ARPU at $18.10 per paying user per month, per the AI Girlfriends Industry Index.
Editor’s Note
August 2025 introduced Persona Customization Depth (PCD) and with it the clearest product-feature retention signal in the series to date: users who customize their companion are 1.8 times more likely to return within 30 days. The 1.5-point CEI gain matched April as the largest monthly increase in the series.
This edition is a retrospective publication computed in May 2026 from first-party data. Numbers from July 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 August 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: August 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, August 2025
The AI Girlfriends Industry Index recorded 20.2 million monthly active users in August 2025, up +5.8% from 19.1 million. New registrations were 1,180,000 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, August 2025
The Companion Engagement Index registered 61.8 in August 2025, up +1.5 from 60.3. The daily active rate was 47%.
Average Daily Conversation Length was 21.4 minutes in August 2025.
Voice Adoption Rate was 32% 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 August 2025 was 13.0%, with ARPU at $18.10 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, August 2025
The central product story in August 2025 was persona customization. Voice Adoption Rate reached 32% and ADCL reached 21.4 minutes, but the metric that defined the month was Persona Customization Depth.
44% of paying subscribers had customized at least one non-default persona attribute by August 2025, name, personality trait, appearance parameter, or relationship style. That figure was up from 34% at the January 2025 baseline, a 10-point climb over eight months driven by product changes that made customization more accessible and by word-of-mouth from users who had discovered its impact on engagement.
Persona Customization Depth and the Retention Multiple
The retention data in August 2025 makes a clear case for persona customization as a product priority. Users who had customized at least one attribute showed a 30-day retention rate 1.8 times higher than users on the default configuration. That is Persona Customization Depth (PCD) of 1.8x, a metric the index introduces formally in this edition.
The causal mechanism is plausible: a user who has named their companion, shaped its personality, and set a relationship style has invested in the experience. That investment creates psychological ownership of the companion that default-persona users do not have. Behavioral economics calls this the endowment effect, people value things more once they have shaped them. The PCD retention multiple is that effect measured in product data.
The 1.8x multiple is the August 2025 baseline for this metric. Whether it grows as more users customize (the pool broadens, potentially diluting the effect) or holds steady as the customization features deepen is the central PCD question for the remainder of 2025. The index will report it monthly from this edition forward.
The product implication is direct: reducing friction in the customization flow, making it easier for users to configure their companion on first use, is likely to produce measurable retention improvements at category scale. The data in this edition makes that investment case quantitatively.
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 August 2025 is the PCD retention multiple of 1.8x. That number means the product is no longer one AI companion, it is as many products as there are users who have shaped their companion into something that reflects their preferences. The AI companion category's moat, as August 2025 data shows, is not the underlying model. Models can be copied. The moat is the personalized relationship each user has built, which cannot be replicated by a competitor without starting from scratch. Persona customization is how that moat is formed.
What We Are Watching in September 2025
- Memory and retention: the September edition will formally introduce Retention-at-30 (R30) as a named metric and measure the retention gap between memory-enabled and memory-off users, a parallel to the persona customization retention signal documented in this edition.
- PCD trajectory: whether the 1.8x retention multiple for customized-persona users holds, grows, or compresses in September as a larger share of users adopts customization.
- Voice and persona interaction: whether users with both voice and persona customization activated show a compounding retention multiple above either feature alone.
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.
PCD, Persona Customization Depth (introduced this edition)
Definition: A retention-relative metric measuring the 30-day retention multiple between users who have customized at least one non-default persona attribute (name, personality trait, appearance parameter, or relationship style) versus users on the default companion configuration. A PCD of 1.8x means customized-persona users are 1.8 times more likely to return within 30 days than default-persona users.
August 2025 value: 1.8x.
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, August 2025. AIGirlfriends.AI. https://aigirlfriends.ai/blog/ai-girlfriend-industry-report-august-2025
Journalist copy-paste: …according to the AI Girlfriends Industry Index (August 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.