Samepage is an AI product-management workspace where humans and agents discover, plan, build and launch product together. It pulls feedback from your calls, tickets, CRM and internal comms into one inbox, groups repeat requests into scored insights, then lets agents research, spec, prototype and write release notes while you make the calls.
网站月访问量估算
数据为该域名的 Similarweb 流量估算，不是活跃用户数。仅展示有数据的统计月份；采集时间与流量统计月份分别标注。
采集于 2026年11月11日
这是编辑给出的评估，满分 5 分，不是用户打分的平均值。 本页的各方观点由 AI 根据产品信息归纳，不是真实用户的评价。
根据 OpenAITools.app 于 2026-11-11 核对的流量数据，Samepage（samepage.ai）是一个收录在 AI 产品经理助手下的 AI 平台，月访问量为 2484，月度环比流量变化为 +432（+21.1%）。其主要地理市场为印度（61.7% 流量份额），采用免费增值定价模式。按月流量计算的主要竞争替代方案包括 Productboard（29.75万次访问/月），Notion（1.73亿次访问/月），Bagel AI（6804 次访问/月）。
把杂乱的工单和聊天记录直接变成产品需求，爽。
上手门槛有点高。
团队协作神器。
价格对小团队不太友善。
以下短评基于实时网页探查、定价机制与同类产品基准由 AI 综合模拟生成，旨在呈现不同使用场景下的常见槽点与亮点，非实名真实用户评价。
Bets reads your calls, tickets, CRM notes and internal comms, groups repeat requests into scored insights, and keeps the supporting evidence attached and up to date.
Assign research, specs or drafts to an agent or a teammate. Work completed by an agent comes back for human review, so nothing ships unchecked.
Two-way sync with Jira, Linear and GitHub keeps issue stages, comments and pull requests aligned between systems, including import of your existing backlog.
Prototype and build directly in your codebase, with coding agents picking up changes and keeping them in sync with the rest of the workflow.
When something ships, release notes, knowledge base updates and ongoing measurement are created in Samepage and pushed to your end systems.
Ask questions across your connected workplace data and get answers that cite where the information came from.
Samepage is an AI product-management workspace where humans and agents discover, plan, build and launch product together. It pulls feedback from your calls, tickets, CRM and internal comms into one inbox, groups repeat requests into scored insights, then lets agents research, spec, prototype and write release notes while you make the calls.
Aggregate feedback from calls, tickets, CRM and chat into a single scored inbox so prioritisation reflects real evidence instead of the loudest voice.
Import the existing Linear or Jira backlog, sync two-way, and let agents research and draft specs for the highest-scoring bets.
Ask questions across connected workplace data and get answers with sources, without manually chasing threads across five tools.
Automate release notes, knowledge base updates and measurement so launches reach customers without extra manual effort.
同一分类下同类 AI 工具的流量并排对比
| 排名 | AI 工具 | 月访问量 | 月度环比增长 | 直接流量占比 | 定价 | 头对头 |
|---|---|---|---|---|---|---|
| ● | Samepage | 2484 | +21.1% | 41% 直接流量 | 免费增值 | 当前产品 |
| 1 | Productboard | 29.75万 | -9.3% | 67% 直接流量 | 免费增值，免费试用，付费，定价请咨询 | 对比 Productboard |
| 2 | Notion | 1.73亿 | +0.1% | 78% 直接流量 | 免费增值 | 对比 Notion |
| 3 | Bagel AI | 6804 | -38.6% | 40% 直接流量 | 定价请咨询 | 对比 Bagel AI |
| 4 | ChatPRD | 12.88万 | +1.5% | 39% 直接流量 | 免费增值 | 对比 ChatPRD |
| 5 | Velociti | 1484 | -18.1% | 39% 直接流量 | 免费试用，付费 | 对比 Velociti |
| 6 | Ainna AI | 8351 | +1.1% | 40% 直接流量 | 免费试用，付费，定价请咨询 | 对比 Ainna AI |
Velociti is an AI product operating system that captures customer evidence, turns it into strategy, and dispatches that context to AI coding agents such as Cursor and Claude Code through MCP. It connects discovery, problem and story maps, initiatives, and backlog tickets in one continuous loop.
Velociti is an AI product operating system that captures customer evidence, turns it into strategy, and dispatches that context to AI coding agents such as Cursor and Claude Code through MCP. It connects discovery, problem and story maps, initiatives, and backlog tickets in one continuous loop.
ProdMoh is an AI copilot for product teams that converts raw customer feedback into structured product specs — PRDs, user stories, acceptance criteria and AI guardrails — then pushes that context into coding assistants such as Cursor, Claude and Windsurf through an MCP integration.
ProdMoh is an AI copilot for product teams that converts raw customer feedback into structured product specs — PRDs, user stories, acceptance criteria and AI guardrails — then pushes that context into coding assistants such as Cursor, Claude and Windsurf through an MCP integration.
