Privacy was scored for 20 of the 22 AI companion apps reviewed on this site, on the same rubric each time: what the app states it stores, how long it says it keeps it, how clearly the policy is written, whether billing is discreet, and what the policy says about sharing data with third parties. Scores reflect documented policy and observed behaviour on a real paid account, not a security audit. Sample last updated 24 August 2026.
Of the six dimensions in the main benchmark, privacy is the one where the whole category underperforms. This report isolates that finding, because it is the number most likely to actually change what a reader does.
Key takeaways
- Mean privacy score: 8.46 / 10 across 20 tested apps, the lowest of any dimension measured.
- No app scored above 9.0. The dimension has a ceiling that nothing in the sample cleared.
- Six of 20 apps (30%) reached that 9.0 ceiling.
- Three of 20 apps (15%) scored below 8.0.
- Observed range: 6.5 to 9.0, a 2.5 point spread.
- Privacy scored 0.40 points below the mean conversation score of 8.86 across the same corpus.
- 41% of tested apps permit adult content, which raises the consequence of any given policy weakness.
Section 1: The scores
01. Across 20 AI companion apps scored on privacy in 2026, the mean was 8.46 out of 10.
02. The highest privacy score observed in the sample was 9.0.
03. No app in the sample scored above 9.0 on privacy.
04. Six of 20 apps (30%) scored exactly 9.0.
05. The lowest privacy score observed was 6.5.
06. Three of 20 apps (15%) scored below 8.0 on privacy.
07. The privacy range of 2.5 points is narrower than the memory range of 3.8 points.
08. Privacy scored lower than conversation quality (8.86), interface (8.84), value for money (8.58) and memory (8.55).
Interpretation. A ceiling is a more interesting finding than a low average. An average can be dragged down by a few bad actors while good options still exist. A ceiling means the good option does not exist. Across 20 products there was no app whose data handling was clear enough, minimal enough and well enough documented to score above 9.0, which points at something structural in how the category is built rather than at individual negligence.
Section 2: Why the consequence is higher here
09. 9 of 22 tested apps (41%) permit adult content.
10. Adult-content apps in the sample averaged 9.03 overall, marginally above the 8.76 average of apps without.
11. Every app in the sample stores conversation history server-side by default, which is what makes persistent memory possible at all.
12. Memory, the feature buyers most often say they want, is scored for 14 of 22 apps and directly requires long-term retention of what the user typed.
Interpretation. There is a real tension between two things buyers ask for. Memory is the dimension that separates good apps from mediocre ones, and memory requires the app to keep what you said, indefinitely, on its servers. You cannot have a companion that remembers your life and also an app that stores nothing about you. The honest framing is not “find a private app” but “decide what you are willing to have stored, then pick accordingly”.
Section 3: What actually reduces your exposure
13. A dedicated email address not tied to your real name removes the single most common identifier linking an account to a person.
14. Payment descriptors vary between apps, and this is the leak most users never check before subscribing.
15. Personal details volunteered in chat, such as employer, city, or the names of real people, are stored on the same terms as everything else you type.
16. Policy documents in this category are revised frequently, so a policy read at signup is not necessarily the policy in force a year later.
Interpretation. None of these are technical measures and all of them are free. The gap between a careless user and a careful one on the same app is larger than the gap between the best and worst app in this sample, which is why the practical advice matters more than the ranking.
Limitations
Privacy here is scored on documented policy and observed behaviour, not on a technical audit or a review of actual data flows. An app could score well and still be handling data badly in ways an ordinary paid account cannot detect. Treat these figures as a comparison of stated practice and user-visible behaviour. Two apps of the 22 were not scored on privacy at all, because their documentation was too thin to score fairly.
How to cite this report
AI Chat Companions (2026). AI companion privacy statistics 2026: the category’s weakest dimension. Retrieved from https://aichatcompanions.com/blog/ai-companion-privacy-statistics-2026/
Sources
Derived from the privacy sections of the hands-on reviews indexed under reviews. The privacy-weighted ranking of the same corpus is at best AI companion apps for privacy.