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Entry PointListen

Reddit monitoring for the conversations worth answering

Most growth starts with a conversation. Run a scan whenever you want: Exa-powered web discovery leads, with Reddit, X, and Hacker News as additional sources, surfacing discussions where you’d genuinely add value. Relevance is scored, replies are drafted, and outreach is staged in Fabric. You decide who to help today.

Why Entry Point works

Three-part relevance scoring

Every opportunity is scored on entry legitimacy (whether you are the right voice), value asymmetry (whether a reply would genuinely help), and social risk (whether it would read as spam). Only the high-signal ones reach your inbox.

Help, confusion, open questions

Flags three classes of opportunity: explicit help requests, detected confusion, and questions still unanswered in-thread.

Reply drafts in your voice

Drafts inherit your brand voice profile and stay helpful-first. Copy as-is, tweak inline, or stage for review.

Send to Fabric for outreach

Batch select opportunities and send to Fabric with one click. Each opportunity becomes a row with reply and outreach columns, ready to review and publish.

Why the source matters

The threads Entry Point finds are the ones AI answer engines quote

When someone asks ChatGPT or a Google AI Overview which tool to use, the answer is assembled from sources, and those sources are overwhelmingly community threads. Third-party research published through 2026 puts the scale of that shift plainly:

~40%

of aggregate citation frequency across AI answer engines points at Reddit, the single most-cited domain measured.

44%

of the social citations inside Google’s AI Overviews come from Reddit. Wikipedia and Reddit together account for more than a quarter of US ChatGPT citations.

+120%

more organic clicks per impression for pages cited inside an AI Overview, versus the same pages uncited.

Figures are third-party research findings from published 2026 studies of AI answer engines and Google AI Overviews. They describe the landscape. They are not Quietly measurements, and we do not promise you the same results.

We find the conversations AI engines cite most. You decide what to answer.

That is the whole claim, and it stops there deliberately. Quietly does not measure or track AI citations; that product doesn’t exist here, and we’re not going to imply otherwise. Entry Point surfaces live threads in the corpus those engines lean on, scores whether you’d be a legitimate voice in them, and drafts a reply in your tone. Whether an engine then quotes your answer is outside what we can promise.

How it works

  1. 1

    Describe who you help

    Configure your product and target audience. Entry Point uses that context to evaluate every thread it finds.

  2. 2

    Run a scan whenever you want

    Kick off a run on demand. Exa searches the open web, with Reddit, X, and Hacker News available as additional sources. Scores are computed and opportunities are surfaced into an inbox.

  3. 3

    Reply, stage, or archive

    Draft a reply in the opportunity detail, send a batch to Fabric for structured outreach, and archive what isn’t a fit. Your memory rules refine the next scan.

Find the threads worth answering

Run your first scan across Reddit, Hacker News, X, and the open web, and see which threads a real reply from you would actually improve. Entry Point is included on every Quietly plan.