AI Intent Analysis

Understand how AI detects buying intent in social posts

Intent Analysis uses AI to automatically score every post for buying signals, helping you prioritize the most promising leads.

AI Intent Analysis requires the Collaborate plan or higher.

How It Works

When a post is discovered, our AI analyzes the content to detect:

  1. Pain points - Frustration, complaints, unmet needs
  2. Research behavior - Comparing options, asking questions
  3. Purchase signals - Budget mentions, timeline, decision-making
  4. Product fit - Relevance to your solution

Intent Score

Each post receives a score from 0-100:

Low Intent (0-30)

General discussion with no buying signals.

Examples:

  • "I love using Notion for personal projects"
  • "Here's how we structure our sales team"
  • Industry news or announcements

Action: Monitor, no immediate engagement needed.

Medium Intent (31-60)

Some interest in solutions, early research phase.

Examples:

  • "What tools do you use for project management?"
  • "How do you handle CRM data?"
  • "Any thoughts on automation?"

Action: Provide helpful, non-salesy responses.

High Intent (61-80)

Active research, comparing solutions.

Examples:

  • "Comparing Salesforce vs HubSpot for a 10-person team"
  • "Need recommendations for email automation"
  • "What's the best CRM under $50/month?"

Action: Share relevant experience and offer to help.

Hot Intent (81-100)

Ready to make a decision, urgent need.

Examples:

  • "We need to switch CRMs this month"
  • "Looking for a Salesforce alternative ASAP"
  • "Budget approved, need recommendations by Friday"

Action: Engage immediately with helpful response.

Intent Signals

The AI detects specific signals in posts:

SignalExampleWeight
Pain point"frustrated with", "doesn't work"High
Recommendation request"what do you use?", "any suggestions?"High
Comparison"A vs B", "which is better"Medium
Budget mention"$X/month", "affordable", "enterprise"High
Timeline"this week", "ASAP", "before Q2"Very High
Switching intent"moving from", "replacing", "alternative to"Very High

Using Intent Scores

Sort by Intent

The default feed sorts posts by intent score (highest first), surfacing the most promising leads.

Filter by Intent Level

Filter to show only certain intent levels:

  • Hot only - Focus on ready-to-buy prospects
  • High+ - Review strong opportunities
  • All - See everything

Re-analyze

If a post seems mis-scored, click Re-analyze to run intent analysis again with the latest model.

Improving Intent Detection

Product Profile

Configure your product profile to improve relevance scoring:

  1. Go to Settings → Social Listening
  2. Add your product keywords, use cases, and competitors
  3. The AI uses this context for better intent matching

Feedback Loop

When you mark posts as Converted or Dismissed, this feedback improves future scoring for your account.

Manual vs AI Scoring

ApproachFoundationCollaborate+
Intent scoringManual reviewAI-powered
PrioritizationBy date/engagementBy intent score
Analysis timeYou review each postInstant

Upgrade to Collaborate to let AI handle the analysis while you focus on engagement.


Next: Learn how to engage with posts effectively.