AI assistants answer from Reddit, Hacker News, and Quora. CueScout finds the exact threads where your buyers are asking, tells you why each one matched, and tracks which replies actually brought customers — so you show up where it counts, helpfully, and never as spam.
You stay in control. CueScout finds leads — you decide what to reply to. Cancel anytime. No auto-posting.
ChatGPT, Claude, and Perplexity pull a large share of their answers from public discussion — and Reddit is near the top of that list. The founders who get mentioned aren’t the ones spamming links. They’re the ones who showed up in the right thread with a genuinely useful reply.
CueScout finds those threads, explains why each one fits, and drafts a reply you post yourself. No automation, no link-dropping, no spam. Just showing up where it matters, before your competitor does.
Do AI engines already recommend you? Run one free check — no signup — and see whether Perplexity names your product when buyers ask for recommendations.
Run the free AI Visibility CheckerEvery Reddit lead tool works the same way: you type in keywords, it floods you with every post that mentions them. Someone complaining about your category. A student writing a paper. A two-year-old thread. All scored “87% relevant.”
So you end up doing the job you bought the tool to avoid — reading fifty bad matches to find the two worth replying to. And the tool never gets better, because it never finds out it was wrong.
CueScout is built around the part those tools skip: telling it which leads were actually good.
Scan. CueScout searches Reddit, Hacker News, and Quora with queries built from your keywords and competitors.
Understand. Every saved lead shows the query that found it and a one-sentence reason it matched. No black-box scores.
Reply. An AI draft with a safety check — posting risk, promotional language, community fit. You edit and post it yourself.
Teach. Mark leads good or not relevant. The Lead Quality report breaks your feedback down by keyword, competitor, source, and query.
Sharpen. Future scans use that feedback. Keywords that produce bad leads get flagged for exclusion; queries that produce good ones get prioritized.
By keyword
Configured keywords producing good or bad leads.
monitor subreddit mentions
9 total matches
social listening
11 total matches
find early users
6 total matches
social listening
8 signals8 of 11 leads from this keyword were marked not relevant — mostly agencies comparing enterprise suites. Suggest excluding it from future scans.
Scan details
Queries, source counts, and scoring totals from the latest run.
38
Found
12
Scored
2
Saved
10
Rejected
9
Skipped
17
Deduped
12 scored. 2 worth your time. 10 rejected.
When nothing crosses the must-reply threshold, the inbox says so: “Scan completed but no results.” You see every query that ran and what each source returned — never a padded inbox.
Every scan shows its work: the exact queries it ran, how many posts each source returned, and how many were scored, saved, rejected, skipped, or deduplicated.
“No strong leads this week” is a first-class outcome in CueScout, not a failure state we hide. A tool that pads your inbox to look busy is wasting the exact time it promised to save.
Every AI draft can include a tracked link. CueScout follows it from the reply to clicks to logged revenue events, then shows revenue per reply, per thread, and per platform.
After a month you know which communities, keywords, and reply styles actually produce customers — not which ones produce upvotes.
Revenue by reply
Drafts with tracked clicks, conversions, and revenue.
Reply in r/SaaS — “morning subreddit checking” thread
14 clicks · 2 conversions · 14% click-to-paid
$158
Reply on Hacker News — alternatives thread
9 clicks · 1 conversion · 11% click-to-paid
$79
Reply in r/startups — early users thread
21 clicks · 0 conversions
$0
That last row matters too. Knowing a reply got clicks but no customers tells you more than any “engagement” metric.
I built CueScout because every Reddit lead tool I tried buried me in noise and called it value. CueScout is in beta — every paid account gets hands-on support, and I read every piece of feedback myself.
If it tells you there’s nothing worth replying to this week, that’s the product working, not failing.
— Telman
Indirectly, and honestly: AI assistants lean heavily on Reddit, Hacker News, and Quora, so being genuinely helpful in the right threads is how products get mentioned over time. CueScout gets you into those conversations — it doesn't fake citations or promise an algorithm hack. What it does prove is which replies brought real clicks and customers.
No, because CueScout never posts for you. There is no auto-posting and no DM automation anywhere in the product. CueScout finds conversations, explains the match, and drafts a reply — you edit it and post it yourself, from your own account, when you decide it's worth posting.
Then your inbox says so. A scan that finds nothing worth replying to shows you exactly what ran — every query, every source count, every rejection — and reports "no results" instead of padding the inbox with weak matches. If that keeps happening, the Lead Quality report shows which keywords are underperforming so you can tune them.
Reddit, Hacker News, and Quora today. We'd rather do a few sources with honest scoring than ten sources with noise.
Keyword alerts match strings; CueScout scores intent and then learns from your feedback. Every lead comes with a plain-language reason it matched. When you mark leads good or not relevant, the Lead Quality report breaks results down by keyword, competitor, source, and query — and future scans score sharper. Alert tools send you the same noise on week 50 that they sent on week 1.
Pick a plan, run your first scan, check AI visibility, and cancel anytime. You stay in control — CueScout finds leads, you decide what to reply to.
For testing whether founder-led replies and AI visibility work for your product.
For founders running this loop every day.
Cancel anytime — no auto-posting, ever.
Setup takes about two minutes: describe your product, pick keywords, scan.