Abby is an AI-powered therapist available 24/7 to provide a safe, anonymous, and non-judgmental space for emotional support. Using advanced NLP, Abby helps you navigate stress, anxiety, and relationship challenges. It offers personalized guidance, self-reflection exercises, and a listening ear whenever you need it. Abby is a free, accessible mental wellness companion designed to complement, not replace, professional therapy.
Luma is an AI emotional companion designed for personal growth. It helps users reflect, grow, and navigate life with greater self-understanding and confidence. Luma is positioned as a growth companion, not a therapist or crisis service.
Abby is an AI-powered therapist available 24/7 to provide a safe, anonymous, and non-judgmental space for emotional support. Using advanced NLP, Abby helps you navigate stress, anxiety, and relationship challenges. It offers personalized guidance, self-reflection exercises, and a listening ear whenever you need it. Abby is a free, accessible mental wellness companion designed to complement, not replace, professional therapy.
Luma is an AI emotional companion designed for personal growth. It helps users reflect, grow, and navigate life with greater self-understanding and confidence. Luma is positioned as a growth companion, not a therapist or crisis service.
| Feature | Abby | Luma |
|---|---|---|
| Primary category | Ai Companions | Ai Companions |
| Added | 2025-08-05 | 2025-12-09 |
| Pricing | Freemium | Not verified |
| Official website | abby.gg | dearluma.app |
| Product type | Website | App |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 295.6K | 4.3K |
| Monthly growth | -18.9% | Not verified |
| Favorites | 128 | 81 |
| Details | View details | View details |
Compare Abby and Luma by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the Abby vs Luma monthly traffic comparison, Abby currently shows 295.6K visits and Luma shows 4.3K; Abby has about 68.2 times the visible traffic of Luma, an absolute difference of about 291.3K visits. This reflects visible reach, not feature quality or paid users.
Only Abby has complete third-party traffic details; Luma uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 61.06% | 180.5K |
| 🇨🇦Canada | 15.86% | 46.9K |
| 🇳🇬Nigeria | 9.22% | 27.3K |
| 🇻🇳Vietnam | 7.19% | 21.3K |
| 🇩🇪Germany | 6.67% | 19.7K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 93.53% | 276.5K |
| Referral | 6.47% | 19.1K |
This in-depth Abby vs Luma comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Abby is primarily listed under “Ai Companions”, while Luma is primarily listed under “Ai Companions”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Product type (Abby: Website; Luma: App); Pricing (Abby: Freemium; Luma: Not disclosed); Monthly visits (Abby: 295.6K; Luma: 4.3K); Favorites (Abby: 128; Luma: 81); Website (Abby: abby.gg; Luma: dearluma.app). These facts are more useful for selection than brand visibility alone.
In the Abby vs Luma monthly traffic comparison, Abby currently shows 295.6K visits and Luma shows 4.3K; Abby has about 68.2 times the visible traffic of Luma, an absolute difference of about 291.3K visits. This reflects visible reach, not feature quality or paid users.
Only Abby has complete third-party traffic details; Luma uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Abby and Luma currently overlap in shared categories: Ai Companions, Mental Health, and Personal Development; shared tags: AI companion, chatbot, and emotional support. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Abby's unique categories/tags are AI therapist, anxiety relief, mental health, personal development, self-care, stress management, and therapy bot; Luma's are mental wellness, personal growth, self-reflection, and self-understanding. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
Abby has no verified rating, 0 comments, 128 favorites, and 124 likes；Luma has no verified rating, 0 comments, 81 favorites, and 89 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put Abby on the priority trial list when the task aligns with “Ai Companions” and especially AI therapist, anxiety relief, mental health, personal development, self-care, and stress management. This follows recorded positioning and does not imply unlisted capabilities are absent.
Abby also currently records: pricing is freemium, product type is website, 295.6K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
Put Luma on the priority trial list when the task aligns with “Ai Companions” and especially mental wellness, personal growth, self-reflection, and self-understanding, or the users include Life Coach, Personal Development Seeker, Student, and Wellness Enthusiast. This follows recorded positioning and does not imply unlisted capabilities are absent.
Luma also currently records: pricing is not verified, product type is app, 4.3K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Abby and Luma, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
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