经过验证的机会，而不是摘要
Perplexity 和 ChatGPT 返回的是需要你自行解读的研究摘要。Iris 最终给出的是聚焦且明确的机会建议：哪个细分领域、为什么是现在、下一步该怎么做。
Iris·Deep ResearcherAI Research Agent that turns insights into products
Iris reads the market, the audience, and the SERPs, then hands a structured brief to your AI Team so research turns into a product.
Research that ends in a shipped product, not a PDF.
受到这些公司的创作者信赖：
Why research never reaches the codebase
Reports that die in Notion
Perplexity gives you an answer. SparkToro gives you a chart. Both end as a doc somebody pastes into Notion and nobody reads in week 3. Iris hands her findings to Emma so research becomes a PRD.
Single-source answers you cannot trust
One LLM summary or one trend chart is not a market read. Iris synthesizes search, communities, audience data, and competitor pages into one cited view you can interrogate, not just accept.
Trends that look real but are not
Exploding Topics shows a chart trending up. It does not tell you whether the demand is durable or a TikTok blip. Iris validates trends across signals before you commit a sprint to building for them.
Three weeks from question to decision
Discovery, interviews, competitor scans, slide deck, exec review. By the time the deck lands the founder already picked a direction. Iris compresses the loop into one Editor report your team can challenge the same day.
与Iris的一天
从你的第一个提示词到交付结果——这就是 Iris 的实际运作方式。
- 01
倾听你的想法或问题
Iris 将“我该做 X 吗？”转化为可研究的假设——该验证什么，该忽略什么。
- 02
跨多个来源深度搜索
搜索引擎、论坛、交易平台、应用商店、社交平台——比单次 Google 查询更广泛。
- 03
梳理需求和竞争信号
规模、增长、意图、付费意愿、现有玩家——全部整理成可对比的信号图谱。
- 04
按可做或不可做对细分领域排序
对机会进行评分，这样你看到的是“这个细分领域、这个切入角度、这些证据”，而不是一堆研究资料。
- 05
Everything Iris needs for trustworthy research
Multi-source data synthesis
Combines search results, community signals, audience data, and competitor pages into one structured view.
Cited findings
Every key claim is backed by a source link so you can verify the evidence yourself.
Underserved need detection
Identifies recurring user complaints and feature gaps competitors are not addressing.
Competitor weakness mapping
Maps where existing players are weak so you know where to position.
Audience segmentation
Breaks the market into segments with distinct needs instead of one monolithic user.
Structured Editor reports
Findings land in an Editor block with sections, takeaways, and recommendations.
Direct handoff to PM
Conclusions feed straight into Emma so research turns into PRD inputs, not a dead document.
当Iris加入你的团队后，会发生什么变化
手工搭建的工作流缓慢、依赖人工且需要大量工具。将鼠标悬停在任意卡片上，查看每项收益为何重要。
为什么创作者会在众多选择中选Iris
对比
正从 ChatGPT Deep Research 转来？以下就是 Iris 更胜一筹的地方。
能转化为产品的研究
独立的研究工具只会返回一份 Google 文档。Iris 会把经过验证的细分市场交给 Emma，由她撰写规格说明；随后 Alex 构建产品。你的洞察会在同一次会话中转化为已交付的软件。
为构建者而生，而非分析师
大多数深度研究工具优化的是引用数量和覆盖广度。Iris 优化的是 go-or-no-go 决策：“这个市场是真的吗？有什么证据支持？在这里获胜的最小产品是什么？”
Atoms 与 Perplexity Pro：比较功能、价格和能力
| 功能 | Atoms 推荐 | Perplexity Pro |
|---|---|---|
| 输出 | 已验证的机会 | 研究摘要 |
| 直接交接为产品规格说明 | 直接发送给 Emma | 你把它复制到文档里 |
| 结合信号评分的细分领域排名 | 内置于 | 仅叙述 |
| 同一会话内启动产品 | 是 | 仅研究 |
| 来源广度 | 多来源，含论坛、交易市场 | 网页 + 轻量论坛 |
Iris 如何与您的其他 AI 团队成员协作
Iris 并不是单独工作。以下是你与完整团队协作构建时，各项交接如何落地。
What Iris researches for builders
Concrete research questions Iris answers with evidence and a path to product.
- Scan a market
Market opportunity scans
Find underserved niches in a market before committing to building anything.
- Dive on a competitor
Competitor deep dives
Map competitor positioning, weaknesses, and pricing patterns in one report.
- Profile an audience
Audience persona research
Understand who the users are, where they hang out, and what they actually complain about.
- Validate a trend
Trend validation
Test whether a trend is real and durable before building on it.
- Benchmark pricing
Pricing benchmark
See how competitors price, package, and bundle so your pricing decision has a baseline.
- Run discovery
Pre-PRD discovery
Run the discovery work before writing a PRD so Emma builds on real insight, not assumption.
Try these prompts with Iris
Scan a market for underserved niches
@Iris find underserved niches in the personal finance app market for Gen Z in the US. Pull from search, Reddit, and the top 10 incumbents. Identify 3 gaps with evidence and hand the top one to Emma to scope.
Deep dive a single competitor
@Iris deep dive Notion. Map their pricing, positioning, recent product moves, community sentiment, and where their power users are leaking. Cite every claim and flag the two weaknesses we could exploit.
Validate a trend before we build
@Iris is "AI agent for accountants" a real durable trend or a 6-month hype cycle? Check search velocity, community discussions, funding signals, and incumbent moves. Tell me if it is worth Emma writing a PRD for.
Profile an audience before launch
@Iris profile freelance designers earning $80k-$200k/year in the US. Where do they hang out, what tools do they hate, what do they complain about? Hand the persona to Emma so the PRD reflects real users, not assumptions.
认识 Iris 的其他 AI 团队成员
没有任何一个智能体是单独工作的。点开任意队友，即可查看他们如何处理您产品中的那一部分。
常见问题
Put Iris to work
Stop researching in one tool and building in another. Let Iris run discovery and hand her findings to your AI Team in Atoms.
