Comparing AI lead scoring software pricing is genuinely tricky. Plans range from free tiers to five-figure annual enterprise contracts, and the features bundled at each price point vary enormously. A tool that looks affordable per user can become expensive once you factor in CRM integrations, contact volume limits, or the higher-tier plan required to unlock AI scoring at all.
To build this list, we evaluated each tool across four criteria: pricing transparency, value at different tiers, quality of AI scoring capabilities, and scalability for growing teams. It's worth noting that some tools on this list are dedicated scoring platforms, while others bundle scoring into a broader CRM or marketing suite. A few take a completely different approach, qualifying leads at the point of capture rather than scoring them retroactively.
Pricing information reflects what was publicly available as of May 2026, but vendor pricing changes frequently. Always verify current rates directly with each vendor before making a decision. With that said, here are the top AI lead scoring tools broken down by what you actually pay.
1. Orbit AI
Best for: High-growth teams that want to qualify and score leads at the point of form submission
Orbit AI is an AI-powered form builder that qualifies and scores leads in real time, eliminating the need for a separate scoring tool entirely.
Where This Tool Shines
Most lead scoring tools work retroactively. They wait for a lead to enter your CRM, then analyze historical data to assign a score. Orbit AI flips that model by embedding qualification intelligence directly into the form itself. By the time a lead submits, you already know their fit score.
This approach is particularly valuable for teams that want clean, pre-qualified data flowing into their pipeline from the start. Instead of building scoring models on top of messy CRM data, you're capturing structured, qualified information from the first interaction. For SaaS teams focused on conversion efficiency, that's a meaningful difference.
Key Features
AI Lead Qualification at Capture: Scores and qualifies leads in real time as they complete your form, before they ever reach your CRM.
Conversion-Optimized Form Templates: Pre-built templates designed specifically to maximize completion rates while gathering the data needed for accurate scoring.
No Integration Dependency: Because scoring happens within the form layer, you don't need a separate scoring tool or complex CRM integration to get started.
Real-Time Scoring Logic: AI scoring rules adapt based on the responses collected, giving each lead a contextual score rather than a generic one.
Modern Form Design: Built for high-growth teams that care about the user experience, not just the data collected.
Best For
Orbit AI is an excellent fit for SaaS teams, growth marketers, and demand generation teams that want to qualify leads earlier in the funnel. It's especially useful for companies that don't yet have a mature CRM scoring setup or want to reduce their tool stack by combining form building and lead qualification in one platform.
Pricing
Visit orbitforms.ai for current pricing tiers. The platform is designed to be accessible for growing teams, with options that scale as your lead volume increases.
2. HubSpot Predictive Lead Scoring
Best for: Teams already invested in the HubSpot ecosystem who need ML-driven scoring without a separate tool
HubSpot includes native predictive lead scoring in its Marketing Hub Professional and Enterprise tiers, using machine learning on your existing CRM data.
Where This Tool Shines
HubSpot's predictive scoring is powerful precisely because it draws on the full depth of your HubSpot CRM data. The more activity, engagement history, and contact data you have in HubSpot, the more accurate the scoring models become. It's a compounding advantage for teams that have been on the platform for a while.
The automatic model retraining is a standout feature. Rather than requiring manual recalibration when your ideal customer profile shifts, HubSpot's models update as new conversion data flows in. For fast-moving teams, that reduces the maintenance burden significantly.
Key Features
Predictive Scoring via Machine Learning: Analyzes patterns in your CRM data to predict which leads are most likely to convert.
Multiple Scoring Models: Build separate models for different products, segments, or buyer personas.
Native CRM Integration: Scoring data lives directly in HubSpot contact records, no export or sync required.
Automatic Model Retraining: Models update continuously as new conversion data is collected.
Best For
HubSpot predictive scoring makes the most sense for teams already using HubSpot as their CRM and marketing hub. If you're starting from scratch on HubSpot just for scoring, the platform cost is significant. But for existing HubSpot users, it's a natural next step.
Pricing
Predictive lead scoring is included in Marketing Hub Professional (starts around $800/month) and Marketing Hub Enterprise (starts around $3,600/month). It is not available on lower tiers.
3. Salesforce Einstein Lead Scoring
Best for: Enterprise sales teams running large-scale operations on Salesforce CRM
Salesforce Einstein uses AI to analyze historical CRM data and predict which leads are most likely to convert, surfacing scoring factors directly to sales reps.
Where This Tool Shines
Einstein's transparency is a genuine differentiator at the enterprise level. Rather than presenting a black-box score, it shows sales reps the specific factors driving each lead's score. That explainability builds trust with sales teams who are often skeptical of AI-generated rankings they can't interpret.
For organizations with years of Salesforce data, Einstein's models become increasingly accurate over time. The automatic updates as new data flows in mean the system improves without requiring dedicated data science resources to maintain it.
Key Features
Predictive Scoring from Historical Data: Builds models based on your actual conversion history within Salesforce.
Transparent Scoring Factors: Shows reps why a lead received a particular score, not just the score itself.
Native Salesforce Integration: Scores appear directly in lead and contact records with no additional setup.
Continuous Model Updates: Scoring models retrain automatically as new data is added to the CRM.
Best For
Einstein Lead Scoring is built for enterprise sales organizations already on Salesforce. It's not a cost-effective entry point for smaller teams, but for large organizations with significant Salesforce data, it's one of the most capable native scoring solutions available.
Pricing
Requires Sales Cloud Enterprise plan (around $165/user/month) or higher. Einstein AI features may require additional add-on licensing depending on your contract. Confirm current requirements directly with Salesforce.
4. Madkudu
Best for: Product-led growth SaaS companies that need scoring models combining product usage with firmographic signals
Madkudu is an AI lead scoring platform purpose-built for PLG companies, fusing product usage data with behavioral and firmographic signals for more accurate scoring.
Where This Tool Shines
Most scoring tools treat product usage as an afterthought. Madkudu was designed around it. For SaaS companies running a product-led motion, the combination of "what company is this?" and "what are they actually doing in the product?" creates scoring models that are significantly more predictive than firmographic data alone.
The integrations with major CRMs and marketing automation tools mean Madkudu can slot into an existing stack without requiring a full platform migration. That flexibility is important for mid-market teams that have already made significant tooling investments.
Key Features
Product Usage-Based Scoring: Incorporates in-product behavior signals as a core scoring input, not just an add-on.
Firmographic and Behavioral Data Fusion: Combines company-level fit data with individual activity signals for layered scoring.
CRM and Marketing Automation Integrations: Connects with major platforms to push scores where sales and marketing teams already work.
PLG-Optimized Models: Scoring logic designed specifically for product-led growth motions, not retrofitted from traditional sales models.
Best For
Madkudu is the right choice for mid-market to enterprise SaaS companies running a product-led growth strategy. If your sales team relies heavily on product usage signals to prioritize outreach, Madkudu's approach will resonate immediately.
Pricing
Custom pricing only. Contact Madkudu's sales team for a quote. Generally positioned for mid-market and enterprise budgets, so expect a meaningful investment.
5. Breadcrumbs.io
Best for: Smaller teams and startups that need a no-code lead scoring solution with a free entry point
Breadcrumbs.io is a no-code co-dynamic lead scoring platform that combines fit and activity models, with a free Lite plan available for teams getting started.
Where This Tool Shines
The co-dynamic scoring model is Breadcrumbs' defining concept. Rather than scoring fit and activity separately, it combines them into a unified model that reflects both who a lead is and what they've been doing. A high-fit lead who has gone cold gets scored differently than a high-fit lead who's been actively engaging. That nuance matters for prioritization.
The no-code model builder makes it accessible to marketing and revenue ops teams without engineering support. For smaller organizations that can't dedicate technical resources to building scoring logic, that's a significant practical advantage.
Key Features
Co-Dynamic Scoring: Combines fit and activity scores into a single dynamic model that reflects both dimensions simultaneously.
No-Code Model Builder: Build and adjust scoring models without writing code or involving engineering.
Free Lite Plan: A functional free tier for teams with limited budgets or lower lead volumes.
CRM Integrations: Connects with HubSpot, Salesforce, and other major platforms to sync scores.
Best For
Breadcrumbs is a strong fit for startups, small businesses, and early-stage revenue teams that want AI-assisted scoring without a large platform commitment. The free tier makes it a low-risk way to explore lead scoring before investing in a paid solution.
Pricing
Free Lite plan available. Paid plans start at around $99/month. Check breadcrumbs.io for current tier details and contact volume limits.
6. Zoho CRM (Zia AI Scoring)
Best for: Budget-conscious teams that want AI lead scoring bundled into an affordable full CRM platform
Zoho CRM includes Zia, Zoho's AI assistant, which provides predictive lead and deal scoring as part of the broader CRM suite at competitive per-user pricing.
Where This Tool Shines
Zoho's value proposition is straightforward: you get a full CRM platform with AI scoring at a price point that undercuts most enterprise competitors significantly. For teams that don't need the complexity of Salesforce or the marketing depth of HubSpot, Zia delivers capable predictive scoring without the premium price tag.
Zia's scoring draws on CRM activity and engagement patterns, which means the quality of scores improves as your team logs more interactions. It's not as sophisticated as purpose-built scoring platforms, but for the price, it covers the core use case well.
Key Features
Zia Predictive Scoring: AI-driven scores for leads and deals based on historical CRM activity and engagement data.
Activity and Engagement Analysis: Zia factors in email opens, calls, meetings, and other recorded interactions when generating scores.
Affordable Per-User Pricing: AI scoring is accessible without jumping to expensive enterprise tiers.
Full CRM Suite Included: Scoring comes bundled with pipeline management, contact records, and automation tools.
Best For
Zoho CRM with Zia is well-suited for small to mid-sized businesses that want AI scoring as part of a complete CRM solution without the cost of Salesforce or HubSpot. It's particularly appealing for teams already in the Zoho ecosystem.
Pricing
Zia AI scoring is available in the Zoho CRM Enterprise plan, priced at around $40/user/month. Verify current plan availability and pricing at zoho.com/crm.
7. Freshsales (Freddy AI)
Best for: Growing sales teams that want AI contact scoring built into their CRM without a large budget
Freshsales includes Freddy AI, Freshworks' built-in AI engine that scores contacts based on engagement, demographics, and behavioral signals at competitive mid-tier pricing.
Where This Tool Shines
Freddy AI's scoring is tightly integrated with the Freshsales pipeline, which means sales reps see scores in context as they work through their deals. There's no separate dashboard to check or data to export. The scoring lives where the selling happens, which drives actual adoption.
For teams scaling from early-stage to mid-market, Freshsales offers a pricing structure that grows with you. The Pro plan, which unlocks Freddy AI scoring, is priced accessibly enough that smaller teams can justify it without needing a large sales volume to break even on the investment.
Key Features
Freddy AI Contact Scoring: Out-of-the-box AI scoring without custom model configuration required.
Multi-Signal Scoring: Freddy factors in engagement history, demographic data, and behavioral patterns.
Native CRM Integration: Scores appear directly in the sales pipeline and contact records.
Sales Pipeline Management: Full CRM functionality included alongside scoring capabilities.
Best For
Freshsales is a strong option for growing sales teams that want AI scoring as part of a complete CRM without paying enterprise prices. It's especially appealing for teams that have outgrown basic CRMs but aren't ready for the complexity of Salesforce.
Pricing
Freddy AI scoring is available in the Pro plan, priced at around $39/user/month. Check freshworks.com for current plan details and any updates to feature availability.
8. 6sense Revenue AI
Best for: Enterprise ABM teams that need account-level and buying group scoring powered by intent data
6sense Revenue AI is an enterprise-grade account-based scoring platform that combines third-party intent data, predictive analytics, and AI to score accounts and buying groups rather than individual leads.
Where This Tool Shines
6sense operates at a different level of sophistication than most tools on this list. Rather than scoring individual leads, it scores entire accounts and identifies which buying group members are actively researching solutions like yours. That shift from lead-level to account-level intelligence is fundamental for enterprise B2B sales teams.
The integration of third-party intent data is 6sense's biggest differentiator. It surfaces accounts that are showing buying signals across the web, not just within your own marketing ecosystem. For enterprise teams running complex, multi-stakeholder deals, that visibility into anonymous research activity is genuinely valuable.
Key Features
Account and Buying Group Scoring: Scores entire accounts and identifies key decision-makers within active buying groups.
Third-Party Intent Data: Incorporates external intent signals to identify accounts researching relevant topics across the web.
Predictive Pipeline Analytics: Forecasts pipeline health and identifies which accounts are most likely to enter a buying cycle.
ABM Orchestration: Connects scoring insights to account-based marketing execution across channels.
Best For
6sense is built for enterprise B2B organizations running account-based marketing and sales programs. It's not appropriate for smaller teams on limited budgets. The investment is significant, but for enterprise teams with the right use case, the depth of intelligence is hard to match.
Pricing
Custom enterprise pricing only. Contact 6sense's sales team for a quote. Contracts are typically structured as annual commitments and generally represent five-figure annual investments.
9. Leadspace
Best for: Enterprise B2B teams that need scoring built on unified, enriched data from multiple sources
Leadspace is a B2B customer data platform that combines AI-driven lead and account scoring with data enrichment, unifying signals from multiple sources for enterprise revenue teams.
Where This Tool Shines
Leadspace's core strength is data unification. Many enterprise organizations struggle with fragmented data across multiple systems, which undermines scoring accuracy. Leadspace addresses this by pulling signals from diverse sources and creating a unified profile before scoring even begins. Cleaner data inputs produce more reliable score outputs.
The combination of scoring and enrichment in a single platform is also worth noting. Rather than managing a separate data enrichment tool alongside a scoring tool, Leadspace handles both. For enterprise teams managing complex data operations, consolidating those functions reduces both cost and operational overhead.
Key Features
Multi-Source Data Unification: Aggregates signals from multiple internal and external data sources before scoring.
AI-Driven Fit and Intent Scoring: Separate models for ideal customer profile fit and active buying intent.
Data Enrichment Integration: Enriches lead and account records as part of the same workflow as scoring.
Enterprise-Grade Integrations: Connects with major CRM, marketing automation, and data infrastructure platforms.
Best For
Leadspace is designed for large enterprise B2B organizations with complex data environments and dedicated revenue operations teams. It's best suited for companies where data quality and unification are as important as the scoring models themselves.
Pricing
Custom enterprise pricing only. Contact Leadspace directly for a quote. Expect pricing to reflect enterprise-level investment, typically structured as annual contracts.
Picking the Right Tool for Your Budget and Stage
The right AI lead scoring tool depends heavily on where you are in your growth journey and how much you're willing to spend to get there.
If you're an early-stage or bootstrapped team, start with tools that offer free or low-cost entry points. Breadcrumbs.io offers a functional free tier that lets you explore scoring without a financial commitment. Orbit AI takes a different approach worth considering at any stage: by qualifying leads at the point of form capture, it eliminates the need for a separate scoring layer entirely, which can simplify your stack considerably.
For growing teams with a modest budget, Freshsales and Zoho CRM both deliver solid AI scoring bundled into full CRM platforms at per-user prices that won't strain a mid-market budget. If your team is already on HubSpot, HubSpot Predictive Lead Scoring becomes compelling once you're at the Professional tier.
Enterprise teams with complex data environments and ABM programs should evaluate 6sense for account-level intelligence and intent data, or Leadspace if data unification is as much a priority as scoring. SaaS companies running product-led growth motions should look closely at Madkudu.
One final consideration: total cost of ownership matters more than the sticker price. Standalone scoring tools often require integration work and ongoing maintenance. Bundled solutions may lock you into a larger platform. Tools like Orbit AI that embed qualification into the capture layer can reduce that overhead significantly.
If you're ready to qualify leads at the source rather than score them retroactively, start building free forms today and see how intelligent form design can transform your lead generation from the very first interaction.