AI Lead Scoring: Definition and Criteria
AI lead scoring uses models or rules to prioritize prospects based on fit, timing, source, pain, and likelihood of response.
Signals used in scoring
- Fit with the target market and offer.
- Urgency in the original signal.
- Source quality, specificity, and available contact context.
How Alync uses scoring
Alync scores intent so teams review the strongest opportunities first instead of treating every mention, profile, or contact as equal.
FAQ
AI Lead Scoring frequently asked questions
Should AI lead scoring replace human review?+
No. Scoring should prioritize the queue. A human should still review the context and approve outreach before starting a conversation.
Are lead volumes guaranteed?+
No. All lead allowances mean up to the stated number of leads. Results depend on relevant public activity, targeting, source availability, and qualification. Alync finds existing demand; it cannot create it. Some searches may return no qualified leads.
What is Alync?+
Alync is an AI intent-to-outreach platform that finds public buying signals, enriches contact data, scores intent, and generates personalized outreach ready for a human to review.
Related pages
Last updated July 2026 · Alync (alync.co)