AI Intent Scoring — Rank Social Conversations by Buying Intent

Score every Reddit, Twitter, LinkedIn and Hacker News thread 0-100 on purchase intent, so you read the ten conversations worth replying to instead of the hundred that merely mention your keyword.

Keyword alerts cannot tell the difference between someone praising a product and someone actively looking to replace it. Both contain your keyword; only one is a lead. Intent scoring reads the thread the way a salesperson would — is this person looking for a solution right now, does what you sell actually fit, and how urgent is it — and puts a number on the answer. A rule-based pass filters the obvious noise cheaply, then an AI pass scores what survives across four dimensions and classifies the kind of lead it is.

Turn noise into signals. IntentFlare uses a hybrid AI scoring engine to find the conversations that actually matter for your business.


What It Does

Every thread discovered across your monitored platforms is scored 0-100 on purchase intent. Instead of manually reading hundreds of posts, you only see the ones where people are actively looking for solutions.

How It Works

  1. Fast Pre-Filter — Rule-based engine scans for pain signals ("struggling with", "need help", "recommend me"), competitor mentions ("alternative to", "switching from"), and buying intent ("where to buy", "pricing", "free trial")
  2. AI Deep Scoring — Threads that pass the pre-filter are scored by AI on 4 dimensions:
    • Is the user actively looking for a solution?
    • Does the problem match your product?
    • How urgent is the need?
    • Is this a buying decision or just browsing?
  3. Lead Classification — Each thread is tagged with a lead type:
    • Recommendation Request — "What tool do you recommend for..."
    • Competitor Switch — "Looking for an alternative to..."
    • Pain/Problem — "I'm struggling with..."
    • Buyer Intent — "Where can I buy...", "pricing for..."
    • Exploring — Early-stage research
    • General — Loosely related discussion

How to Try It

  1. Go to Dashboard → click Run Pipeline
  2. Wait for the pipeline to complete (takes ~30 seconds)
  3. Check the Threads page — threads are now scored and classified
  4. Use the Min Score slider to filter (we recommend starting at 70+ for high-intent leads)
  5. Lead type badges appear next to each thread — use these to prioritize outreach

Score Guide

Score Color Meaning
70-100 Green High intent — prioritize these
50-69 Yellow Moderate intent — worth reviewing
0-49 Gray Low intent — skip unless relevant

Why This Matters

Keyword alerts cannot tell the difference between "I love Notion" (not a lead) and "I need a Notion alternative that's simpler" (hot lead). Intent scoring can, so you read a handful of threads worth replying to instead of a hundred that mention your keyword.

Tools in this space range from free keyword alerts (F5Bot) through forum-focused monitoring (Syften) to AI-scored multi-platform tools (Buska). Compare on platform coverage, scoring quality, and whether the tool tracks what actually converted.

Frequently asked questions

How is intent scoring different from keyword alerts?

Keyword tools match strings. "I love Notion" and "I need a Notion alternative that's simpler" both match "Notion", but only the second is a lead. Intent scoring evaluates context, urgency and product fit, so the second scores high and the first does not.

What score should I treat as a lead?

Start at 70 and above. Those are threads where someone is actively looking for a solution. The 50-69 band is worth skimming when volume is low. Below 50 is usually topic-relevant chatter rather than intent.

Why two passes instead of one AI pass?

Cost. Most discovered threads are obviously irrelevant, and paying an AI model to read every one of them is wasteful. A cheap rule-based pre-filter removes those first, so the AI only reads threads that already show some signal.

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