Curated list of the top 30 CRM platforms that leverage artificial intelligence to automatically score leads, prioritize prospects, and boost sales productivity.
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All‑in‑one inbound marketing suite with AI lead scoring that ranks contacts based on engagement, demographic data, and predictive behavior.
Enterprise‑grade CRM featuring Einstein AI lead scoring, which predicts conversion likelihood using historical win‑rate data.
AI‑driven Zia predicts lead quality, suggests next best actions, and surfaces high‑value prospects in real time.
Intuitive pipeline manager with AI Lead Scoring that ranks deals based on activity patterns and deal history.
AI‑powered Freddy scores leads using email engagement, website visits, and demographic fit.
Integrated AI insights that score leads, forecast revenue, and recommend next steps within the Microsoft ecosystem.
Google Workspace‑native CRM with AI Lead Scoring that learns from email interactions and meeting outcomes.
Project‑focused CRM that uses AI to rank leads by fit, activity, and historical conversion rates.
AI‑enhanced Lead Scoring engine that predicts deal probability and surfaces high‑priority contacts.
Inside‑sales platform with AI scoring that evaluates call activity, email opens, and reply rates.
Small‑business CRM with AI lead scoring that prioritizes leads based on interaction history and purchase intent.
Social CRM that uses AI to score leads by social engagement, email activity, and relationship strength.
All‑in‑one sales & marketing platform with AI lead scoring that blends web behavior, email clicks, and demographic data.
Work OS with AI‑driven lead scoring widgets that rank prospects based on custom metrics and activity logs.
Free‑tier CRM that includes AI lead scoring to prioritize contacts based on interaction frequency and deal stage.
Modular CRM offering AI lead scoring that evaluates lead source, email engagement, and sales rep notes.
Gmail‑integrated CRM with AI scoring that predicts lead quality from email threads and response times.
Simple pipeline CRM that uses AI to assign a lead score based on activity patterns and historical win rates.
Marketing‑automation focused CRM with AI lead scoring that blends web behavior, form fills, and campaign interactions.
AI‑first CRM that automatically scores leads by analyzing email, calendar, and LinkedIn activity.
Revenue‑operations platform with AI lead scoring that predicts deal health and highlights at‑risk opportunities.
Process‑driven CRM with AI lead scoring that uses machine‑learning models to rank leads by conversion probability.
Sales automation tool with AI lead scoring that evaluates communication cadence and engagement metrics.
Workflow‑centric CRM that includes AI lead scoring to prioritize leads based on custom scoring rules and behavior data.
Open‑source CRM with AI add‑on that scores leads using interaction history, website visits, and email opens.
Advanced version of Keap with AI lead scoring that incorporates purchase history and predictive analytics.
When paired with HubSpot CRM, the Marketing Hub’s AI lead scoring refines prospect ranking using content interaction.
Zoho’s AI lead scoring extends into Campaigns, scoring leads based on email engagement and website behavior.
Visual sales pipeline with AI lead scoring that predicts conversion likelihood from activity trends.
Recruitment‑focused CRM that uses AI to score candidate leads based on resume data and interaction history.
AI‑driven Freddy Lead Scoring evaluates email opens, website visits, and call logs to rank prospects.
Enterprise CRM with AI lead scoring that leverages SAP’s analytics engine to predict deal outcomes.
AI‑enhanced lead scoring within Oracle’s Customer Experience suite, using machine learning on historic sales data.
AI lead scoring that combines project management data with sales activity to prioritize high‑value leads.
Built for inside sales teams, its AI engine scores leads based on call outcomes, email replies, and pipeline velocity.