Your audience is already talking. Now you can hear them.
AI builds a real profile of who reads you — then monitors the communities where they ask questions, scores every conversation, and turns the strongest signals into article opportunities.
From guessing
Most editorial teams write for an audience they have never actually profiled. Audience Intelligence replaces the guess with structure — and keeps it fresh with live community signals.
- A real audience profile — Topic pillars, a persona summary, and the exact pain phrases your readers type when they need help — generated from your brand context and saved to your workspace for every writer to share.
- Communities monitored for you — Discovery scores each community 0–100 for fit with your niche and auto-subscribes you to the best ones. Rising posts are fetched every few hours, top posts every morning.
- Scored, enriched opportunities — Every thread gets a relevance score. Strong matches are enriched automatically with top-comment context, a conversation-type label, and a pre-drafted reply hook you edit before posting.
- Per-article Reddit Radar — Open any article — even a draft — and Radar finds the threads where its key questions are being discussed right now, classified as promote, engage, or monitor.
- A weekly signal digest — Every Monday, the week’s signals — search movers, new backlinks, community themes — are aggregated into a brief, and the top themes land in your content plan as suggestions.
- Feeds everything you generate — The persona calibrates tone and complexity in article generation, and pain phrases double as keyword seeds — so audience research compounds instead of sitting in a slide deck.
What it looks at
- Discover — One-click brand-level analysis: topic pillars, persona summary, pain phrases, community roster. Re-run whenever your positioning shifts.
- Market Listening — Continuous community monitoring with 0–100 opportunity scores, conversation types, and comment-gap flags on the strongest threads.
- Reddit Radar — Article-level scan that matches a specific piece to live discussions — with suggested hooks and reply targets.
- Weekly digest — A Monday brief that rolls seven days of signals into themes and pushes the best ones into your content plan.
Guesswork vs. listening.
Content by guesswork
- Topic ideas come from internal brainstorms, not from what readers actually ask
- Nobody agrees on who the audience is — every draft targets someone slightly different
- Community threads where your content would help go unseen
- You find out an article missed the mark after it is published
- Distribution is an afterthought: publish, share once, hope
With Audience Intelligence
- A structured audience profile: topic pillars, persona summary, and the exact pain phrases readers use
- A recommended community roster, monitored continuously — rising posts checked every few hours
- Every thread scored 0–100 for fit, with high scorers enriched with comment context and a pre-drafted reply
- Reddit Radar finds the threads a specific article answers — while it is still a draft
- A Monday-morning digest that turns the week’s signals into content plan suggestions
How it works
- Discover your audience — One click. The AI reads your brand context and produces topic pillars, a persona summary, pain phrases, and a community roster — saved to your workspace.
- Listen continuously — Your communities sync automatically — top posts every morning, rising posts throughout the day — and every thread is scored against your brand.
- Act on the signals — Engage from scored opportunity cards, run Reddit Radar on any article, and review the weekly digest that pushes the strongest themes into your content plan.
Included in every plan.
Audience Intelligence, Market Listening, Reddit Radar, and the weekly digest are part of the platform — not an add-on or a per-seat research tool.
Know who you’re reaching.
Run one discovery and your next article starts from a real audience — not a hunch.
Frequently asked questions
How is this different from searching communities myself?
Manual search is one-off and unfocused — hundreds of posts, most irrelevant. Audience Intelligence runs continuously: it fetches new posts every few hours, scores each one against your brand context, enriches the strong matches with comment analysis and a drafted reply, and surfaces only the conversations worth your time. And because it starts from a generated audience profile rather than a keyword list, the communities it monitors are chosen for fit, not popularity.
What does setup involve?
Almost nothing — there is nothing to install. The one prerequisite is a reasonably complete brand context: site name, niche, and a description. Then click Discover my audience and the AI generates your profile and subscribes you to the recommended community roster in one run. A guided wizard also lets you add or remove communities and save seeds for other platforms.
Does it post replies automatically?
No. The platform identifies opportunities and drafts reply hooks, but every reply is reviewed and edited by you before it goes anywhere. Nothing reaches a community unreviewed by default — you stay in control of your brand’s voice in every thread.
What do we actually get out of it week to week?
Three compounding outputs: sharper editorial direction (writers share one picture of the reader, so drafts need fewer editing cycles), pre-warmed distribution (each article ships with a list of live threads where it genuinely helps), and a standing pipeline of validated topics — the weekly digest converts real audience signals into content plan suggestions instead of leaving ideation to a blank page.
Our positioning changed — is the profile stale now?
Re-run Discover. It regenerates all four outputs — pillars, persona, pain phrases, and the community roster — from your updated brand context, overwriting the old values. Teams typically refresh after a pivot or on a quarterly cadence. Agencies can do this per brand, since every workspace keeps its own profile and roster.