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💬  Conversation Intelligence

Turn Real Conversations
Into Content That Ranks

We read the discussions happening on X and Reddit, analyze the sentiment and themes, and auto-publish citable, AI-ready articles — every quote verbatim, every source linked.

app.infin8content.com — Conversation Intelligence
Conversations found
👽

"Honestly the onboarding flow is what made us switch — took 10 minutes."

r/SaaS · 312 upvotes · 48 comments
𝕏

"Most tools overcomplicate this. The ones that win keep setup dead simple."

@founder · 1.2k likes
👽

"Wish more vendors published their actual migration steps instead of a sales call."

r/devops · 188 upvotes · 31 comments
68% positive Theme: onboarding (9) Pain: migration (4) 5 quotes
Auto-generated article · 1,840 words
Why Fast Onboarding Decides Which Tool Teams Actually Keep

A recent r/SaaS thread drew hundreds of responses from teams comparing how long each tool took to get running…

"the onboarding flow is what made us switch — took 10 minutes." — a user on Reddit

The intelligence layer behind every article

2
Conversation sources — X & Reddit
~1,800
Words per citable article
100%
Quotes verbatim & source-linked
24/7
Runs on autopilot, every 6–24h

Your Best Content Ideas Are Buried in Conversations You'll Never Read

Every day your customers debate, complain, and recommend in public threads. Reading them all — let alone turning them into content — is impossible by hand.

🔍

Thousands of threads, zero time

Relevant discussions about your category pile up on X and Reddit faster than any team can read them.

💡

Real insight, locked in noise

The exact pain points and questions your buyers have are sitting in comment sections — unread and unused.

🐌

Manual writing is slow

Turning a discussion into a sourced, well-structured article takes hours of reading, quoting, and drafting.

🏃

Competitors publish first

By the time you've spotted a trending conversation, someone else has already written the article that ranks for it.

Conversations In. Citable Articles Out.

Conversation Intelligence reads the discussions happening in your space, extracts the sentiment, themes, and the exact words people use — then writes and publishes a finished, sourced article for each one. You set the topics; it does the reading, the analysis, and the writing.

Built to Turn Real Talk Into Ranking Content

Verbatim Quote Sourcing

Every quote in your article is the exact text from the original post — never paraphrased — and hyperlinked back to the source for full credibility.

📊

Sentiment & Theme Analysis

AI reads each conversation and surfaces the overall mood plus the themes people raise most, ranked by how often they come up.

🔎

Pain-Point & Request Mining

It pulls out the frustrations and feature requests buried in the comments — the angles your audience actually cares about.

🧭

AI Editorial Strategy

Before writing, it decides the angle, voice, SEO target, and section structure from the data — so each article is positioned to rank.

Citable, AI-Ready Articles

Each 1,500–2,000 word piece is built to be quoted by ChatGPT, Perplexity, and Google AI Overviews — sourced, structured, and clear.

🔄

Always-On Autopilot

Set it once and it keeps scanning every 6, 12, or 24 hours — publishing fresh articles automatically as new conversations surface.

❝  Verbatim Sourcing

Every Claim Backed by a Real Person

Generic AI content gets ignored. Conversation Intelligence grounds every article in the exact words real people wrote — quoted verbatim and linked to the original X post or Reddit thread.

  • At least four verbatim quotes woven through every article
  • Each quote hyperlinked to its source post for credibility
  • An attribution footer crediting the platform and thread
Verbatim quotes, exact and linked to source
🧭  Editorial Strategy

The Right Angle, Decided by the Data

Before a single word is written, AI reads the conversation and chooses the framing — should it defend a popular view, take a contrarian stance, or stay balanced? — plus the voice and the SEO question to answer.

  • Angle chosen from real sentiment and pain-point counts
  • An SEO target framed as the question your buyers ask
  • Section headings built around what people actually search
🧭
Angle, voice, and SEO target chosen from your data
🔄  Autopilot

A Content Pipeline That Never Sleeps

Add your keywords, subreddits, and the accounts worth watching. From then on it scans on the cadence you choose and publishes finished articles automatically — or holds them as drafts for review.

  • Scan every 6, 12, or 24 hours — your call
  • Auto-publish to your blog, or save as drafts
  • Engagement filters keep low-quality posts out
🔄
Continuous scanning and publishing on your schedule

Real Results From Every Run

Each conversation becomes a finished article — and an insight report lands in your inbox before it publishes.

📝

A published, citable article

A 1,500–2,000 word blog post per conversation, structured to be quoted by AI answer engines.

😊

A sentiment breakdown

The positive, neutral, and negative split — plus the overall mood — of the conversation behind each piece.

📊

A ranked theme list

The topics people raised most, with mention counts, so you see what your audience truly cares about.

Verbatim quotes & sources

The exact statements pulled for the article, each linked to its original post for verification.

📧

An emailed insight report

Sentiment, themes, and quotes delivered to your inbox before the article is finalized.

🎯

An SEO-targeted headline

A title and section structure aimed at the real question your audience is asking.

From Conversation to Published Article in Three Steps

Set it up once. We handle the scanning, the analysis, and the writing — continuously.

1
🎯

Add Your Topics

Enter the keywords, subreddits, and X accounts that matter in your space — and set how often you want us to scan.

2
🧠

AI Analyzes the Conversations

We scan X and Reddit, then extract sentiment, themes, pain points, and the exact verbatim quotes worth citing.

3
📤

Get a Finished, Sourced Article

Each qualifying conversation becomes a citable article — auto-published to your blog or held for review.

Made for Teams Who Publish to Win

🏢

Agencies

Keep a steady stream of sourced, on-topic content flowing for every client — without adding writers. Set the topics per workspace and let it run.

📣

Marketing Teams

Turn the community already talking about your category into a content pipeline that fuels SEO and AI search visibility.

🚀

Founders & Brands

Own the narrative in your space by publishing articles grounded in what real users are saying — at a pace you couldn't match by hand.

✍️

Content & SEO Consultants

Deliver citable, well-sourced articles fast — every claim backed by a real quote your clients can verify.

Conversation Intelligence FAQ

Which platforms does it pull conversations from?
+
Conversation Intelligence sources discussions from X (Twitter) and Reddit — the two platforms where the most candid, in-depth product and category conversations happen. You target them with keywords, specific subreddits, and X accounts. It is focused on these two sources by design rather than spreading thin across networks where the conversation is shallow.
How often does it find new conversations?
+
You choose the cadence — every 6, 12, or 24 hours. On each run it scans for qualifying new posts within your lookback window (7, 14, or 30 days), turns the strongest ones into articles, and never re-processes a conversation it has already covered.
How accurate is the sentiment analysis?
+
Each conversation is analyzed by AI for overall sentiment (positive, neutral, negative) and mood, along with the themes raised most often. It's an editorial signal that shapes the article's angle — not a live monitoring feed. Because every article is grounded in verbatim quotes you can read and verify, you always see the source behind the read.
Can I track conversations about competitors?
+
Yes — you can target competitor names, products, and the subreddits where they're discussed as keywords, and the resulting articles will reflect those conversations. To be clear about what this is: it's a content engine that turns those discussions into published articles, not a real-time monitoring or alerting dashboard.
What reporting do I get?
+
Before each article is finalized, an insight report is emailed to your account owner with the sentiment breakdown, ranked themes, pain points, and the verbatim quotes selected. The deliverable itself is the published article — there's no separate BI dashboard to maintain.
Can it use historical conversations?
+
Each run looks back across the window you set — 7, 14, or 30 days — so recent discussions are eligible even if they were posted before your latest scan. Engagement filters ensure only conversations with real traction become articles.
What kind of AI writes the articles?
+
It's a multi-stage pipeline: a fast model extracts the insights and verbatim quotes and decides the editorial strategy, then a high-quality writing model produces the 1,500–2,000 word article. Every quote stays verbatim and linked, and the structure is built to be cited by AI answer engines.

Start Turning Conversations
Into Content.

Put the discussions in your space to work — as citable articles, on autopilot.

Start Generating Articles
X & Reddit sourcesEvery quote linkedCancel anytime