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The Complete Guide to AI-Powered Lead Scoring

Learn how automatic intent detection and sentiment analysis can help your sales team focus on the leads that matter most.

Feb 10, 20266 min read

Not all conversations are equal. Some visitors are ready to buy. Others are just browsing. OpusVoice AI scores every conversation from 0 to 100 so your team knows exactly where to focus.

How Scoring Works

Every message in a conversation is analyzed for three signals:

Intent. Is the visitor asking about pricing? Requesting a demo? Comparing features? High-intent signals push the score up.

Sentiment. Positive sentiment (excitement, urgency, agreement) correlates with conversion readiness. Negative sentiment (frustration, confusion) may indicate a support need rather than a sales opportunity.

Engagement depth. Longer conversations with specific questions score higher than single-message drive-bys.

Score Categories

  • Hot (80–100): Ready to convert. Route to your best closer immediately.
  • Warm (50–79): Interested but needs nurturing. Follow up within 24 hours.
  • Cold (0–49): Early stage or low intent. Let the AI handle it.

Customization

You can configure high-intent keywords in your workspace settings. Add terms specific to your business — product names, competitor mentions, pricing-related phrases — and the scoring engine will weight them accordingly.

Using Scores Effectively

The Leads dashboard sorts all conversations by score. Your team sees the hottest leads at the top. Combined with sentiment and intent labels, agents can prioritize with confidence.

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