Dilog records 341 monthly visits with 0% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. Prolific records 18,697,671 monthly visits with -1.8% growth and Paid pricing.
一个随时可提问的私密 AI 客户模拟面板
High-quality human data for AI training, evaluation, and research
| Dimension / Metric | | |
|---|---|---|
| Official Domain | dilog.ai | prolific.com |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Paid |
| Monthly Visits | 341 (341) | 18.7M (18,697,671) |
| MoM Traffic Delta | +341 (0%) | -352.04K (-1.8%) |
| Primary Market & Share | 🇮🇳 India (100%) | 🇺🇸 United States (48.8%) |
| Direct Visits / mo | 122 | 12.98M |
| User Rating | 4.1 | 4.6 |
| Supported Platforms | Website | Website |
一个随时可提问的私密 AI 客户模拟面板
面板由与真实客户的 2～3 小时访谈构建而成，因此每个回答都能追溯到真人的原话，而非统计平均值。
可以在早上 9 点开董事会前、前一晚 11 点提问。无需等待招募、排期或激励发放。
不仅看到客户选哪个，还能看到背后的动机、犹豫与决策触发点。
每季度都会重新访谈面板背后的真人，画像因此持续演化，而不像一次性研究那样过期作废。
High-quality human data for AI training, evaluation, and research
Filter participants by detailed demographic, professional, and behavioural criteria and reach narrow or representative samples rather than a generic crowd.
Collect human preference data for model fine-tuning, run safety evaluations and red-teaming, and use a feedback API to plug humans into automated pipelines.
Attention checks, honesty screening, and approval workflows help filter out careless or fraudulent responses before you analyse results.
Publish a study and begin collecting responses quickly, with tooling that supports screening, quotas, and longitudinal designs.
Large consumer panel for market research surveys, but lacks Prolific's specialized focus on academic studies and AI tuning.
Large consumer panel for market research surveys, but lacks Prolific's specialized focus on academic studies and AI tuning.
AI-moderated customer interviews that turn conversations into decisions
AI-moderated customer interviews that turn conversations into decisions
SpecialistThe environments frontier AI trains on, and the agents that do the recurring work
SpecialistThe environments frontier AI trains on, and the agents that do the recurring work
Enterprise-grade data annotation and AI alignment workforce, but less self-serve for academic study recruitment and casual surveys.
Qualitative research depth at survey scale, moderated by AI
Qualitative research depth at survey scale, moderated by AI
SpecialistAI data infrastructure for building production-grade models
SpecialistAI data infrastructure for building production-grade models
SpecialistSpecializes in video-based consumer interviews and AI qualitative analysis, but less focused on quantitative academic survey panels.
SpecialistSpecializes in video-based consumer interviews and AI qualitative analysis, but less focused on quantitative academic survey panels.
SpecialistSources verified B2B professionals and healthcare experts for specialized research, but lacks broad general-population academic panels.
SpecialistSources verified B2B professionals and healthcare experts for specialized research, but lacks broad general-population academic panels.
Free / Open-sourceOpen-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.
Free / Open-sourceOpen-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.
SpecialistAI-led customer interviews and research insights at scale
SpecialistAI-led customer interviews and research insights at scale
Generate data-backed personas, digital twins and synthetic research on demand
Generate data-backed personas, digital twins and synthetic research on demand
Customer and user research at scale, powered by AI conversations
Customer and user research at scale, powered by AI conversations
