Best 10+ Commercial & Open Source AI Agents in Sales [2025]

AI SDRs support sales teams by automating key parts of the sales outreach process. These agents integrate with CRMs, email tools, and outreach platforms, and improve over time through feedback and performance data for sales operations.

Unlike traditional tools that rely on static sequences, AI sales agents can connect prospect profiles to research leads, analyze intent data, generate tailored messages, prioritize outreach, and trigger timely follow-ups.

In this article, I listed the best commercial and open source AI sales assistants, highlighting their focus areas and best use cases:

Commercial AI agents in sales

Demo: Email outreach and follow-up conversation on AiSDR

Source: AiSDR¹

Feature comparison: Commercial AI agents in sales

• Lead research: Uses public and integrated sources (e.g. LinkedIn, vendor websites) to collect and enrich contact and company data for prospecting automatically.
  
• Lookalike search: Identifies companies that match your top customers by analyzing inputs like website URLs, industry, size, and tech stack.
  
• Persona messaging: Generates personalized messages based on the prospect’s role, company, and context.
  
• Intent signals: Detects buying intent using engagement signals (e.g. pricing page views, job postings) or 3rd-party intent provider tools.
  

Open source AI agents in sales

Demo: Sarah – Custom AI sales agent on SalesGPT

The demo below showcases Sarah, a custom AI sales agent for patient intake built on the open-sourceopen source SalesGPT platform.

Source: Michalsky, Filip²

In this demo, the sales agent (Sarah):

• Engages with inbound patient inquiries
• Provide pediatric services
• Guides patients toward scheduling
• Handle conversations autonomously with a natural tone
• Guides the patient toward the next steps (e.g., booking an appointment)

AiSDR

Category: AI SDR (Autonomous Sales Development Representative)

Best use case: Automated outbound prospecting and lead outreach across email, social media, and text.

AiSDR is an autonomous AI sales agent that handles end-to-end sales outreach and communication. It researches prospects by aggregating data from prospect profiles, generates personalized multi-channel messages, responds to leads in real time, and books meetings.

Key differentiators:

Prospecting with real-time research:

AiSDR helps you find companies through two primary methods:

• Filter-based search (industry, location, funding, size, etc.)
  
• Lookalike search helps identify companies similar to your existing customers by analyzing their websites. It enriches each company profile by utilizing key data points, including hiring activity, website content, news mentions, and technologies used.

Built-in lead sources:

Unlike most tools that require separate subscriptions, AiSDR includes access to Rocketreach, Apollo, ZoomInfo, and its own internal database at no additional cost.

Persona-based messaging engine:

One of AiSDR’s standout features is its persona system. Rather than relying on templates, the platform replicates writing styles and frameworks from successful human sales reps or your own best-performing emails. This allows the AI to adapt its tone.

AI-powered media content:

You can enhance emails with AI-generated videos (a deepfake-style pitch in your likeness) or custom memes to boost engagement through personalization.

Why we like it:

• Multi-channel outreach: Automates emails, LinkedIn, and SMS with full two-way conversation handling.
• Pipeline automation: Automatically books meetings and re-engages cold or inbound leads based on prospect behavior, lead status, or predefined triggers (e.g., form submissions, email opens, or inactivity).
• Native CRM Sync: Seamless integration with CRMs like HubSpot; updates records and follow-up tasks
• Fast responses: Replies to leads in under 10 minutes.

What needs improvement:

• Fixed steps and timings: Lacked granular control over timing logic; send intervals couldn’t be fine-tuned or customized.
• Not a good fit for phone-first teams: Works best for outbound/email-heavy tasks; no real phone automation.

Pricing: 

AiSDR offers usage-based plans:

• Explore plan: ~$900/month for ~1,000 emails with all features included.
  
• Grow plan: Starts at ~$2,500/month for ~3,000+ emails and ~15 meetings/month.
  
• Free trial: No free tier or self-service trial available.

Jason AI 

Category: AI SDR Assistant within a sales engagement platform

Best use case: Executing your outbound campaigns for email sequencing, automated follow-ups, and reply handling.

Best for teams already using Reply.io for multi-channel outreach.

Jason AI is Reply.io’s AI-powered sales development assistant integrated into their sales engagement platform. It is an “AI co-pilot” for SDRs – you define targets and messaging preferences, and it takes over repetitive outreach tasks.

Why we like it:

• Efficient sales automation: Automates lead research, personalized email writing, follow-ups, and meeting booking, significantly reducing manual effort for SDRs.
• High-quality personalization: Leverages GPT-based AI to generate tailored, human-like emails.
• Meeting booking: Sends calendar invites or hands off interested leads to a human rep when it detects a positive reply or meeting request.
• AI reply handling: Automatically interprets prospect responses and crafts appropriate follow-ups

What needs improvement:

• Limited ecosystem flexibility: Operates exclusively within Reply.io; it is not compatible with other sales engagement platforms.
• No voice automation: AI capabilities are focused on written channels (email, LinkedIn); live calls must be handled manually.

Pricing: 

• Starts at $300/month for 500 contacts, scaling to $3,000/month for 10,000, with full AI features included in all tiers.
• Base Reply.io platform fee is ~$60/user/month (for core email automation).
• Most teams pay $500–$1,000/month for a few thousand contacts.
• No free AI plan is available, but non-AI plans are offered at no cost.

Artisan 

Category: AI SDR for outbound sales automation

Best use case: Leveraging personalized cold outreach and lead generation at scale via email and LinkedIn.

Artisan is an AI sales agent. It identifies prospects and sends personalized, multichannel outreach (including emails and LinkedIn touches) to generate a pipeline.

Why we like it:

• Personalized messaging: Produces highly personalized emails and LinkedIn messages.
• End-to-end automation: Covers lead sourcing, enrichment, outreach, and follow-up.
• Adaptive AI learning: Continuously optimizes messaging based on engagement.

What needs improvement:

• High costs: Starts around $1.5K/month with no published pricing.
• Steep learning curve: Features such as prompt tuning and multi-playbook management can be challenging to learn.
• Generic email output: AI-generated content often lacks depth and personalization
  

Pricing: 

Starts ~$1,500–$2,000/month on annual contracts (quote-based). Pricing plans include:

• Entry-tier “Accelerate” plan: ~$12,000/year for 12,000 leads ($1,000/month).
• Higher-volume plans: Up to $5,000/month for ~3,000 contacts and 15,000 emails.
• No free trial or self-serve tier available as of 2025.

HubSpot Breeze 

Category: AI Enhancement tool for CRM (Gen AI built into HubSpot CRM)

Best use case: AI-assisted prospecting, email writing, and deal summaries

Breeze is HubSpot’s integrated AI suite that enhances every stage of the customer journey with tools for writing, data cleaning, sales insight, and chat automation – all built directly into the HubSpot platform.

Why we like it:

• Built into HubSpot: Uses existing CRM and marketing data for seamless AI outputs.
• Cross-department value: Boosts productivity for sales, marketing, and support.
• Data enrichment: Keeps CRM records clean and complete without manual effort.
• AI chatbot: Conversational support via knowledge base-trained agent.

What needs improvement:

• HubSpot-only: Features only benefit teams using HubSpot.
• AI oversight needed: Content and enrichment suggestions may need review.
• Data privacy: AI usage introduces compliance considerations in sensitive industries.
• Usage-based costs: Enrichment and chatbot features may incur extra fees at scale.
• Beta-stage limitations: Some features are still rolling out or lack polish.

Pricing:

• Copilot tools: Free for most HubSpot users with basic usage.
• Breeze Intelligence: ~$0.50 per enriched record (usage-based credits).
• Customer Agent chatbot: Likely included in Enterprise or as an add-on (~$499+/month).
• Total range: ~$30/month for light usage to ~$4,300/month for advanced enterprise use.
• Most Breeze features are bundled with HubSpot; others are billed per AI usage tier.

Bella 

Category: AI sales agent for LinkedIn outreach (Conversational AI SDR)

Best use case: Automating LinkedIn outreach and nurturing conversations with prospects to book meetings. 

Bella is an AI assistant that manages personalized LinkedIn (and email) outreach, conducts chats, and handles meeting booking autonomously.

Why we like it:

• High response rates: ~40% acceptance and 39% reply rate.
• AI conversations: Two-way LinkedIn chats with auto-qualifying.
• Multi-channel: Email + LinkedIn outreach coordination.

What needs improvement:

• LinkedIn-only: Not ideal if leads aren’t active there.
• Requires Sales Nav: Adds ~$80/month per user.
• Monitoring needed: Not fully “set and forget.”

Pricing:

• AI BDR plan: ~$899/month for 1,500 prospects.
• Scale plan: ~$1,500–$2,000+/month.
• No free version

Unify 

Category: Lead generation & prospecting tool with built-in workflow automation capabilities 

Best use case: Automating outbound engagement based on buyer intent

Unify’s AI agents respond automatically to real-time signals, such as funding announcements, buyer intent activity, or email engagement, by gathering updated data, assessing account relevance, and preparing the next step in the sales sequence.

Why we like it:

• Visual playbooks: Automate outreach with real-time triggers.
• Sales research agents: Scrapes and summarizes account insights.

What needs improvement:

• Setup complexity: Requires RevOps or technical marketer.
• Limited outreach channels: No native multichannel outreach; requires Zapier or other workarounds.
• Dashboard limitations: Admin features like performance tracking are still under development.

Pricing:

• Growth plan: ~$1,460/month for 50,000 credits and 1 user.
• Custom tiers: Pro/Enterprise priced per usage.
• Typical spend: $2K–$5K/month; $17K–$90K/year range.
• No free tier

Outreach.io 

Category: Sales engagement platform with AI assistant

Best use case: Running multi-channel outbound outreach at scale.

Outreach lets teams build and manage outreach sequences, track activity, and integrate forecasting and call coaching.

Why we like it:

• Structured workflows: Covers email, calls, and LinkedIn.
• Kaia AI: Real-time call assistant and post-call summaries.
• Strong CRM sync: Integrates seamlessly with Salesforce.

What needs improvement:

• Complex setup: Needs sales ops/admin support.
• Over-automation risk: Requires governance to prevent spamming.

Pricing:

• Standard plan: ~$100/user/month.
• Pro/Enterprise: Custom; adds AI and controls.
• Typical range: $20K–$120K/year.
• No free tier; requires 3+ users.

Salesloft 

Category: Sales engagement platform

Best use case: Forecasting revenue and inspecting pipeline risks

Salesloft features several AI agents designed to automate repetitive sales tasks and provide real-time insights. These agents:

• Respond to buyer signals (like opened emails or new stakeholders)
  
• Draft personalized messages for email, LinkedIn, and call scripts
  
• Summarize calls and flag key moments like objections or competitor mentions
  
• Assist with pipeline health, deal strategy, and coaching insights

Best for:

• Front-line sellers and SDRs requiring structured AI-written emails
• Sales leaders and RevOps aiming to improve forecast reliability and visibility into deal health

Why we like it:

• Enterprise-grade: Robust CRM sync, dialer, and analytics.
• AI coaching: Rhythm feature suggests next actions.
• Conversation intelligence: Records and analyzes meetings.

What needs improvement:

• Expensive: $100–$150/user/month.
• Complex onboarding: Steep learning curve for new users.
• Basic content AI: Doesn’t generate email copy natively.

Pricing:

• Essentials: ~$140/user/month.
• Advanced: ~$180/user/month.
• Volume deals: ~$90/user for large teams.
• No free tier

Clari 

Category: Revenue operations & forecasting platform

Best use case: Sales pipeline visibility, deal health tracking, and accurate sales forecasting. Manager-focused tool. 

Clari is a revenue operations platform that helps B2B teams manage pipeline, forecast revenue, and improve sales execution. Key capabilities include:

• Deliver key insights for managers and reps in real time.
• Detects patterns across pipeline, deals, and accounts to inform strategy.

Why we like it:

• Accurate forecasting: Helps eliminate spreadsheets and improves confidence in revenue projections
  
• Strong Salesforce integration: Enables deal updates directly within Clari, syncing in real time
  
• AI call summaries (Copilot): Automatically captures and summarizes key points from sales calls
  
• Custom views: Personalized dashboards for reps, managers, and execs improve visibility

What needs improvement:

• Enterprise pricing: Starts around $20K/year.
• Clunky UI in places: Forecasting view requires horizontal scrolling and could be more streamlined.
• Initial setup and customization required: Out-of-the-box experience may feel rigid without tailoring
  
• Search function limitations: Difficulty quickly locating specific calls or companies

Pricing:

• Typical deals: $81,000/year median.
• Small firms: ~$20,000/year; large orgs: $200,000–$400,000+.
• Copilot AI: $720–$1,320/user/year.
• No free plan

Conversica 

Category: Conversational AI platform for sales

Best use case: Follow-up on inbound and cold leads via email conversations.

Conversica sends personalized emails, interprets responses, and qualifies leads automatically, passing hot leads to sales.

Why we like it:

• Scalability: Handles thousands of leads.
• Human-like tone options: Offers several assistant personas.

What needs improvement:

• Limited channels: Mostly email and SMS.
• Template-bound: Can’t handle nuanced sales convos.

Pricing:

• Base: ~$2,999/month for 1 use case.
• Typical use: $50K–$100K/year for multi-use assistants.
• Per-company pricing: Unlimited users.
• No free trial; enterprise-focused.

Landbot.io 

Category: No-code sales chatbot builder

Best use case: Building web or WhatsApp chatbots for lead gen, qualification, and support automation without coding.

Landbot offers a visual builder for creating chat flows and now includes optional GPT-powered AI for open-ended answers.

Why we like it:

• No-code agent builder: Visual drag-and-drop UX.
• Multi-channel: Web, WhatsApp, Messenger.

What needs improvement:

• Volume limits: Exceeding chat limits incurs additional costs.
• Scripted bots: Without AI blocks, fallback handling is weak.
• WhatsApp complexity: API constraints require setup effort.

Pricing:

• Starter Plan: ~$36/month (500 chats).
• Pro plan: ~$99/month (5K chats + integrations).
• Business tier: ~$300–$450/month.
• WhatsApp pro: ~$499/month (plus message fees).
• Free plan available.

Knotie-AI

Category: Open-source voice-enabled AI sales agent (inbound/outbound calls)

Best use case: Automating inbound/outbound lead communication without human agents.

Knotie-AI is a voice-capable AI sales agent that can call or answer calls with your leads and customers. It’s fully open-source (paid options are available) and self-hosted.  It can integrate with telephony (e.g. Twilio) to conduct conversations.

Why we like it:

• Voice integration: Supports inbound and outbound voice calls with AI-driven dialogues.
• Easy to implement: No heavy technical expertise required for basic setup.

What needs improvement:

• Transcription accuracy: Knotie-AI relies on Twilio’s speech-to-text for call transcription, which can sometimes mishear words or phrases.
• Latency and real-time response: Some responses lag.
• Technical setup for self-hosting: Deploying a phone-call AI agent involves configuration (Twilio setup, server, etc.).
• Closed-source premium features: Some capabilities are only in the premium (closed-source) version

Pricing: 

The open-source version is completely free to use (GPL-2.0 licensed).

You can host it yourself and pay only for usage costs (e.g. Twilio minutes, any OpenAI API calls, etc.). 

Sales Outreach Automation (LangGraph)

Category: Open-source AI outreach automation toolkit for lead generation.

Best use case: Automating the research and preparation phase of cold outreach.

This project is an AI-powered sales outreach system that automates lead research, qualification, and personalized messaging. It integrates with popular CRMs and uses AI agents (built with LangChain/LangGraph) to analyze prospects’ data (LinkedIn profiles, social media).

Why we like it:

• Personalized outreach content: Using the researched data, it generates custom outreach materials (e.g. personalized cold emails).
• CRM integration: The system connects with popular CRMs like HubSpot, Airtable, and Google Sheets out of the box.
• Customizable and extensible: You can modify the data sources, the analysis workflow.

What needs improvement:

• Not plug-and-play: Setting up the system requires developer effort. Non-technical sales teams might struggle to implement it without engineering help.
• No real-time interaction with leads: Note that this tool focuses on engaging prospects in live conversations.

Pricing:

It’s completely free. The code is open-source (no paid tier) – you can download it from GitHub and run it on your infrastructure. 

There are no usage fees besides whatever costs you incur for running the necessary services (e.g. if you use any third-party API)

SalesGPT

Category: Open-source AI sales assistant (multichannel conversational AI for sales)

Best use case: Handling full sales conversations via voice, email, SMS, and WhatsApp using LLMs

SalesGPT is a free, open source AI sales agent that can handle sales conversations over phone, chat, or email. Unlike a generic chatbot, it knows what stage of the sales cycle it’s in – introduction, qualification, objection handling, closing.

Why we like it:

• Multi-channel solution: Works across voice calls, SMS/WhatsApp, and emails.
• Can close deals: It can carry the conversation through to closing. It autonomously generates payment links and guides the customer through a purchase.
• Open model support: SalesGPT integrates with LiteLLM, enabling you to choose from 50+ LLMs (open-source or closed).

What needs improvement:

• Setup complexity: You need to install and configure the system (Python environment, possibly a frontend, connect APIs like OpenAI, Twilio for voice, etc.)
• Resource requirements: High-quality output requires leveraging large models (GPT-4 or similar).
• No UI

Pricing:

SalesGPT is free to use. 

SalesCopilot

 Category: Open-source AI sales call assistant (real-time call transcription & coaching, a “Gong.io alternative”).

Best use case: Coaching sales reps live during calls with real-time insights and suggestions

SalesCopilot joins your sales calls and transcribes the conversationç It provides contextual insights such as objection handling tips, next-step suggestions, and follow-up task summaries

Why we like it:

• Live coaching: Suggests responses to objections as they come up
  
• Integrated knowledge base: Uses your own sales material for personalized suggestions
  
• Interactive Q&A: Reps can ask the AI questions mid-call
  
• Post-call summaries: Saves transcripts and provides performance feedback

What needs improvement:

• Windows-only: macOS/Linux not yet supported
  
• Technical setup: Requires Python, Whisper, and manual audio routing
  
• Depends on OpenAI: Requires API key and incurs token costs
  
• Early-stage: Lacks polish and native integrations (e.g., Zoom)
  
• No auto call-joining: Must manually route audio for analysis

Why use AI assistants in sales?

1. Improved lead generation and qualification

AI enhances prospecting by analyzing leads based on role, company, and engagement.

Companies used AI in B2B sales doubled conversion rates and shortened sales cycles by predicting high-intent buyers in real time.³

Source: HubSpot⁴

2. Enhanced productivity

AI sales agents handle repetitive tasks like lead gen, email personalization, and data enrichment—freeing up reps for high-value activities.

Tools like AiSDR automate workflows and score leads based on behavior, streamlining prospecting.

Sales reps using AI tools reported a nearly 30% increase in productivity, citing time saved on manual tasks like data entry, CRM updates, and outreach sequencing.⁵

3. Automated sales processes

Routine tasks such as sending follow-up emails, scheduling meetings, and updating CRM entries can be automated by AI agents, freeing up sales teams to focus on closing deals.

Source: Tidio⁶

4. Predictive sales forecasting

By analyzing historical data and current trends, AI agents can forecast future sales, helping businesses plan and allocate resources effectively.

Source: Dealcode⁷

5. Automated follow-ups

AI agents automate follow-ups by:

• Triggering follow-ups based on lead engagement signals (opens, clicks, replies)
  
• Optimizing messaging through continuous A/B testing
  
• Personalizing send times per lead to boost open and response rates

This automation removes guesswork and ensures no opportunity slips through the cracks.

Source: HubSpot⁸

External Links

• 1. AiSDR demo video: AiSDR - End-to-End Sales Agent Outreach | Dimmo.
• 2. GitHub - filip-michalsky/SalesGPT: Context-aware AI Sales Agent to automate sales outreach..
• 3. https://www.ijcrt.org/papers/IJCRT2409782.pdf
• 4. Lead Scoring Software | Prioritize Your Best Prospects.
• 5. State of Sales Report - Salesforce.com.
• 6. 10 Best AI Sales Assistant Software [2025 Reviews]. Tidio
• 7. AI Sales Forecast Agent.
• 8. How to Automate Your Follow-up Emails .