Key takeaways
Conversation Radar crawls 6 platforms at launch: Reddit, Quora, LinkedIn, Hacker News, Medium, and dev.to.
Every conversation is tagged as 1 of 4 types: Question, Discussion, Problem, or Comparison.
A Sources view shows your conversation share across all 6 platforms, so you know where your market actually talks.
Conversation Radar connect to the same Scribble dashboard already tracking 7,000+ citations across 5 AI engines.
Included in every Scribble plan from $99/mo, with platform access and crawl frequency scaling by tier.
V2 routes conversations to Scribble's network of 53,000+ creators, who get paid per verified citation.
What is Conversation Radar?
Conversation Radar is a new feature inside the Scribble dashboard that finds live conversations relevant to your brand across six platforms: Reddit, Quora, LinkedIn, Hacker News, Medium, and dev.to. It reads what you have told us about your brand, crawls the open internet, and shows you the exact threads where your buyers are already asking questions you can answer.
Every result links straight to the original conversation, so you can go from "this thread mentions our category" to "we replied" in one click.
Conversation Radar is live now for all Scribble plans, with platform access, visible posts, and crawl frequency scaling by tier.
Why conversations decide your AI visibility
AI engines like ChatGPT, Perplexity, and Gemini lean heavily on user-generated content when they answer questions. When someone asks an AI engine "what's the best way to swap BTC without KYC" or "which tool should I use for X," the sources behind that answer are very often Reddit threads, Quora answers, and community posts, not brand websites.
That changes what marketing has to do. The threads being written today are the citations of tomorrow. If your brand is absent from the conversations AI engines trust, your brand is absent from the answers your buyers read.
Scribble has tracked 7,000+ citations across five AI engines, and the pattern holds: the brands that show up in AI answers are the brands that show up in conversations first.
What Conversation Radar does
Crawls six platforms, not one. Most tools in this space watch a single platform. Conversation Radar covers Reddit, Quora, LinkedIn, Hacker News, Medium, and dev.to from day one, and Scribble is adding more.
Finds conversations based on your brand, not just your name. Brand mentions are the easy part. Conversation Radar also surfaces threads about your category, your competitors' categories, and the problems your product solves, because those are the conversations where you can actually win new visibility rather than defend existing mentions.
Tags every conversation by type. Each thread is classified as a Question, Discussion, Problem, or Comparison, so you can prioritise. A Question is an open goal. A Comparison is a thread AI engines will almost certainly cite.
Shows you where your conversations happen. The Sources view breaks your conversation share down by platform across all six. One brand might run 40% Medium, another heavily Reddit. Your split tells you where to spend your engagement time.
Links you straight to the source. Click any conversation and you land on the live thread on its original platform, ready to reply in your own voice.
Feeds your citation tracking. Conversation Radar sits inside the same dashboard that tracks your AI citations across five engines. Join a conversation this week, and watch whether it becomes a cited source next month. Discovery and outcome live in one place.
How it works, step by step
Tell Scribble about your brand. Your product, your category, the questions your customers ask. Existing Scribble clients have already done this.
Radar crawls the open web. Based on your tier, Conversation Radar scans its platforms on a recurring schedule and on demand with Scan Now.
Review your feed. Conversations arrive tagged by type and platform, newest first, with unread counts so nothing slips past.
Click through and engage. Reply as your brand or as your team, in your own voice, on the original platform.
Track the downstream effect. Your citation dashboard shows whether the threads you joined start appearing as sources in AI answers.
How this is different from social listening
Social listening tools tell you what people said about you. Conversation Radar tells you where to go next.
The difference is the loop. A listening tool ends at the report. Conversation Radar starts at discovery, moves to engagement, and closes at measurement, because Conversation Radar lives inside the platform that already tracks which sources AI engines cite for your queries. You do not need to guess whether joining conversations worked. The result shows up in the same dashboard.
How to engage without getting flagged
A quick, honest note. Communities like Reddit and Hacker News have strong norms, and low-effort brand replies get removed. That is how it should be.
Conversation Radar finds the opportunities. What you do with them decides the outcome. Three rules that hold up:
Answer the actual question. If your product is only part of the answer, say the rest too.
Disclose who you are. "I work on X, so take this with a grain of salt" earns more trust than pretending to be a random user.
Write comments worth keeping. The replies that survive moderation and earn upvotes are the ones AI engines end up citing. Smart and lasting beats fast and salesy.
What's coming next
Today, brands engage in their own voice. Soon, they will not have to.
Scribble is building the next version of Conversation Radar around its network of 53,000+ creators. Instead of your team writing every reply, matched creators will join the conversations for you, with authentic voices communities actually trust, and get paid when their contributions earn citations. Creator payouts use the same instant payout mechanic that already powers Scribble's citation bounties.
That is the full loop: find the conversation, place the content, verify the citation, pay the creator. No one else closes it.
Frequently Asked Questions
What is Conversation Radar?+
Conversation Radar is a feature in the Scribble dashboard that surfaces live conversations relevant to your brand across Reddit, Quora, LinkedIn, Hacker News, Medium, and dev.to, and links you directly to each thread so you can join it.
Is Conversation Radar a social listening tool?+
No. Social listening tools report what people said about you. Conversation Radar surfaces conversations you can still join, links you to them, and connects the outcome to your AI citation tracking in the same dashboard.
Is Conversation Radar a separate product?+
No. Conversation Radar is built into the Scribble dashboard alongside citation tracking, query insights, and campaign management. Every Scribble plan includes it.
Does Conversation Radar post on my behalf?+
No. Conversation Radar finds the conversations and links you to them; your team replies in its own voice. Creator-powered engagement, where matched creators join conversations for you, is the next release.
Which platforms does Conversation Radar cover?+
Reddit, Quora, LinkedIn, Hacker News, Medium, and dev.to at launch. More platforms are on the roadmap.
Is this included in my current Scribble plan?+
Yes. Every plan includes Conversation Radar. Platform access, the number of visible posts, and crawl frequency scale with your tier.
Does joining conversations actually improve AI visibility?+
AI engines cite user-generated content heavily. The threads Conversation Radar surfaces are the kind of sources that appear in AI answers, and your citation dashboard shows you when they do. How do I start? Log in to your Scribble dashboard and open Conversation Radar in the sidebar.
Written by
Kaavya has been building at the edge of the internet since 2016, starting in crypto, founding Lumos Labs, a web3 education platform and eventually co-founding Scribble, a creator marketing platform helping brands get discovered by AI search engines. At Scribble, she leads community and growth across a network of 50,000+ creators running GEO campaigns for 100+ brands. Her obsession: figuring out how content actually gets cited by LLMs, and building the infrastructure to make it happen at scale. When she's not deep in distribution strategy or vibe-coding tools, she's in Bangalore, probably being supervised by two Shih Tzus named Mushu and Milo.
