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Average price: 54 products listed
54 Listings in Sales AI Agents Available
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$2–$167/mo
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30 tools
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What is 1up? 1up is an AI-powered answer engine for sales teams that responds to customer questions, RFPs and security questionnaires using trusted company data sources. Key capabilities of 1up RFP automation: Completes complex RFPs in minutes from accurate sources. Sales enablement: Answers rep questions in Slack or Teams. Answer Hub: A 24/7 self-service portal for customer questions. Security questionnaires: Auto-generates compliance responses. DDQ automation: Fills Due Diligence Questionnaires. Browser plugin: Auto-fills web-based questionnaire portals. How 1up works 1up connects to your documentation, searches those sources for relevant facts and drafts grounded answers. Reps can ask questions in Slack or Teams, while a browser plugin fills answers into web portals, and reviewers verify drafts before sending. The vendor says it has generated 2M+ answers. Who uses 1up? Sales, proposal, security and revenue teams. Named customers include Jumpcloud, Docebo, Fleetio, Deliveroo, Gladly, Optimove and FusionAuth. Case studies cite a 90% reduction in questionnaire effort. 1up pricing Pricing exists on the site, but tier details were not retrievable. Contact the vendor for a quote. 1up alternatives Tribble and DeepRFP automate RFP responses, Steerlab handles RFPs and questionnaires with a managed library, and Outreach and Salesloft are sales engagement platforms. 1up is organized around company-source answers.
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What is Seamless.AI? Seamless.AI is a B2B leads AI agent offering a real-time B2B contact search engine that finds emails and phone numbers. Founded in 2015 and based in Columbus, Ohio, USA, Seamless.AI helps sales teams and recruiters automate B2B leads work and get results faster. Key capabilities of Seamless.AI Real-time contact search Chrome extension Data enrichment Buyer intent CRM sync Deal insights How Seamless.AI works Seamless.AI takes search filters as input and produces contact data. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Gmail, so the agent works inside existing workflows. Who uses Seamless.AI? Seamless.AI is built for sales teams and recruiters. It suits teams that want real-time contact search and Chrome extension without adding headcount, while keeping people in control of review and final decisions. Seamless.AI vs ZoomInfo Seamless.AI is often compared with ZoomInfo. Seamless.AI stands out for real-time contact search and data enrichment. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is HubSpot Breeze? HubSpot Breeze is HubSpot's AI layer, combining a Copilot assistant, task-focused agents and Breeze Intelligence data enrichment across its marketing, sales and service software. It runs inside a HubSpot account rather than as a separate product. Key capabilities of HubSpot Breeze Breeze Copilot: An assistant that answers questions and drafts content using CRM data. Breeze Agents: Task agents for content, social, prospecting and customer support. Breeze Intelligence: Data enrichment of contacts and companies, plus buyer intent data. AI content generation: Drafts emails, blog posts and social copy. Predictive lead scoring: Ranks leads by likelihood to convert. How HubSpot Breeze works Breeze features run on data already in the HubSpot CRM. A Customer Agent answers support questions from a knowledge base and escalates to people, a Prospecting Agent researches leads, and Copilot assists inside the interface. Third-party reporting says AI actions are metered in HubSpot credits and that Customer Agent needs Service Hub Professional or Enterprise. Who uses HubSpot Breeze? Marketing, sales and customer-service teams already on HubSpot use Breeze to automate content, prospecting and support. It is less useful for companies that do not run their CRM on HubSpot. HubSpot Breeze pricing Breeze is not sold as a single product. Third-party sources report that AI usage is billed in HubSpot credits at about $10 per 1,000 (about $9 annually) and that Customer Agent costs 50 credits per resolved conversation, on top of a HubSpot seat. HubSpot Breeze alternatives Salesforce Agentforce is the comparable AI agent layer for Salesforce, Conversica automates lead conversations, and Clay focuses on data enrichment. Breeze is notable for being embedded in the HubSpot CRM.
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What is Qualified? Qualified is a website AI SDR AI agent offering Piper, an AI SDR agent that engages website visitors, qualifies them and books meetings. Founded in 2018 and based in San Francisco, California, USA, Qualified helps B2B marketing teams on Salesforce automate website AI SDR work and get results faster. Key capabilities of Qualified Website AI SDR Live chat and meetings Intent signals Salesforce native CRM sync Deal insights How Qualified works Qualified takes text and website data as input and produces text and meetings. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Gmail, so the agent works inside existing workflows. Who uses Qualified? Qualified is built for B2B marketing teams on Salesforce. It suits teams that want website AI SDR and live chat and meetings without adding headcount, while keeping people in control of review and final decisions. Qualified vs Drift Qualified is often compared with Drift. Qualified stands out for website AI SDR and intent signals. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Clari? Clari is a revenue platform AI agent offering a revenue platform with AI forecasting, pipeline inspection and conversation intelligence. Founded in 2013 and based in Sunnyvale, California, USA, Clari helps revenue leaders and sales teams automate revenue platform work and get results faster. Key capabilities of Clari AI forecasting Pipeline inspection Conversation intelligence Revenue agents CRM sync Deal insights How Clari works Clari takes CRM data and audio as input and produces forecasts and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Gmail, so the agent works inside existing workflows. Who uses Clari? Clari is built for revenue leaders and sales teams. It suits teams that want AI forecasting and pipeline inspection without adding headcount, while keeping people in control of review and final decisions. Clari vs Gong Clari is often compared with Gong. Clari stands out for AI forecasting and conversation intelligence. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Spara? Spara is an AI agent platform that automates go-to-market operations by managing buyer interactions across chat, email, voice and text. It qualifies website visitors, routes high-intent leads, books meetings and runs agent-guided demos. Customers include Mindbody, Rho, Lavender, JustWorks, Profound and CrewAI. Key capabilities of Spara Inbound qualification: agents qualify visitors and route high-intent leads AI product demos: interactive demos that help buyers self-qualify Agentic workflows: multi-step automation with shared buyer context Outbound engagement: context-aware outreach with AI-drafted messages Post-sale onboarding: milestone tracking and guidance PLG upsell: engages high-usage free and low-tier accounts How Spara works Spara agents chat with visitors 24/7, qualify them, book meetings and share context with sellers before the call. Follow-up continues across email, voice and text, and workflows connect to CRM and sales tools. Who uses Spara? Revenue and growth teams at software companies use Spara. Mindbody reports a 10.3% MQL-to-SQL lift, Rho 3.1x form-to-meeting conversion and Lavender a 70% inbound lift in 30 days. Spara pricing Spara does not publish pricing. Contact the vendor for a quote. Spara alternatives Spara is compared with Swan AI, 6sense and Clari. Swan AI offers an autonomous sales agent, and 6sense and Clari provide revenue intelligence.
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What is Clay? Clay is a go-to-market data platform that pulls contact and company data from many providers into one spreadsheet-style table and runs AI research on it. Its Claygent agent browses the web to answer custom questions about each lead. Key capabilities of Clay Waterfall enrichment: Queries multiple data providers in sequence until a result is found. Claygent: AI research agent that browses the web to gather custom data points. Intent and job-change signals: Triggers workflows when contacts change jobs or accounts show signals. Audience management: Builds and pushes audiences to ad platforms. Native email sequencing: Sends outreach campaigns from tables. How Clay works You import a list or pull one from sources, then add enrichment columns that call data providers in a waterfall and Claygent prompts that research each row. Results can score leads, trigger emails or sync to the CRM. Usage is metered in data credits and actions, and the Free plan limits tables to 200 rows. Who uses Clay? Revenue operations, growth and sales teams use Clay to build targeted prospect lists and personalized outreach. Agencies use it to run research and enrichment for clients. Clay pricing Free costs $0 with 100 data credits and 500 actions a month. Launch starts at $167 per month and Growth at $446 per month, both with 14-day free trials. Enterprise is custom with SSO and RBAC, and data credits start at $0.05 each. Clay alternatives Apollo.io bundles a contact database with sequencing, Lusha and Seamless.AI sell contact data, and Octave focuses on AI messaging. Clay differs by combining many providers and AI research in one table.
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What is Gong? Gong is a revenue AI AI agent offering a revenue AI operating system with conversation intelligence, forecasting and AI agents. Founded in 2015 and based in San Francisco, California, USA, Gong helps B2B revenue teams automate revenue AI work and get results faster. Key capabilities of Gong Conversation intelligence Sales engagement AI forecasting AI agents CRM sync Deal insights How Gong works Gong takes audio, email and CRM data as input and produces insights and forecasts. It is powered by Gong (in-house) and frontier models models, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Gmail, so the agent works inside existing workflows. Who uses Gong? Gong is built for B2B revenue teams. It suits teams that want conversation intelligence and sales engagement without adding headcount, while keeping people in control of review and final decisions. Gong vs Clari Gong is often compared with Clari. Gong stands out for conversation intelligence and AI forecasting. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Trellus? Trellus is a sales calling AI agent offering an AI-assisted sales dialer with real-time call coaching and prospect insights. Founded in 2021 and based in San Francisco, California, USA, Trellus helps SDR teams automate sales calling work and get results faster. Key capabilities of Trellus Parallel dialing Real-time call coaching Prospect insights Call analytics Performance analytics Manager dashboards How Trellus works Trellus takes audio and CRM data as input and produces text and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, Zoom and Gong, so the agent works inside existing workflows. Who uses Trellus? Trellus is built for SDR teams. It suits teams that want parallel dialing and real-time call coaching without adding headcount, while keeping people in control of review and final decisions. Trellus vs Orum Trellus is often compared with Orum. Trellus stands out for parallel dialing and prospect insights. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Apollo.io? Apollo.io is a sales intelligence and engagement platform that pairs a large B2B database with prospecting, outreach sequences and AI agents. Existing listing data cites 230M+ contacts and 30M+ companies. Key capabilities of Apollo.io B2B database: 230M+ contacts and 30M+ companies (listing data). AI prospecting: Multichannel prospecting with AI. Intent targeting: Targeting with intent signals. Automated sequences: Outreach cadences by email and other channels. Lead enrichment: Real-time enrichment of lead data. How Apollo.io works Users search the database, build lists, and enroll contacts in sequences that send emails and create tasks. Credits are the platform's currency for emails, phone numbers and enrichment, pooled across the team and granted each billing cycle, and they do not roll over. Who uses Apollo.io? Founders, sales reps and revenue teams use Apollo, from the Free plan for early teams to Custom for enterprises needing SSO and advanced security. Apollo.io pricing Apollo lists Free, Basic, Professional and Custom plans with monthly or annual billing. The fetched page showed plan descriptions but not dollar amounts, so check the vendor pricing page for current per-user rates. Apollo.io alternatives Outreach is an enterprise sales execution platform, 6sense is an ABM platform with intent data, and Salesloft focuses on sales engagement. Apollo is distinguished by bundling the contact database with outreach.
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What is Leadbeam? Leadbeam is a field sales AI agent offering an AI assistant for field sales reps that logs visits, captures notes by voice and updates the CRM automatically. Leadbeam helps field sales teams automate field sales work and get results faster. Key capabilities of Leadbeam Voice visit notes CRM auto-updates Route planning Follow-up reminders Account research CRM enrichment How Leadbeam works Leadbeam takes voice and images as input and produces CRM records and text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Google Sheets, so the agent works inside existing workflows. Who uses Leadbeam? Leadbeam is built for field sales teams. It suits teams that want voice visit notes and CRM auto-updates without adding headcount, while keeping people in control of review and final decisions. Leadbeam vs Badger Maps Leadbeam is often compared with Badger Maps. Leadbeam stands out for voice visit notes and route planning. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Regie.ai? Regie.ai is a prospecting agents AI agent offering AI sales agents that prospect, write sequences and run multichannel outreach. Founded in 2020 and based in San Francisco, California, USA, Regie.ai helps outbound sales teams automate prospecting agents work and get results faster. Key capabilities of Regie.ai AI prospecting agents Sequence writing Dialer Content library CRM sync Deal insights How Regie.ai works Regie.ai takes text and CRM data as input and produces email and text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Gmail, so the agent works inside existing workflows. Who uses Regie.ai? Regie.ai is built for outbound sales teams. It suits teams that want AI prospecting agents and sequence writing without adding headcount, while keeping people in control of review and final decisions. Regie.ai vs 11x Regie.ai is often compared with 11x. Regie.ai stands out for AI prospecting agents and dialer. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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Saaskart Market Grid™
Explore how leading Sales AI Agents solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the Sales AI Agents ecosystem.
Category Leader
HubSpot Breeze
#1 in Sales AI Agents
Best Value Sales AI Agents
Salesforce Agentforce
From $2/mo
Trending
HubSpot Breeze
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Derived from live Saaskart marketplace data, engagement, reviews, and pricing for this category.
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Sales AI agents automate and assist selling, from prospecting and outreach to deal intelligence and forecasting, so reps spend more time with buyers and less on busywork. This guide explains what sales AI is, how it works, what matters, and how to choose a platform.
Sales AI agents automate and assist selling, from prospecting and outreach to deal intelligence and forecasting, so reps spend more time with buyers and less on busywork. This guide explains what sales AI is, how it works, what matters, and how to choose a platform.
Sales AI applies machine learning and generative models across the sales cycle: finding and prioritizing prospects, drafting and personalizing outreach, capturing and analyzing conversations, scoring leads and deals, and forecasting revenue.
Tech stacks
See where sales ai agents fits in a complete stack, with the other software, AI agents and services each business needs.
It appears both as standalone tools (AI SDR/prospecting agents, conversation intelligence, forecasting) and as AI features inside CRMs and sales-engagement platforms.
The category is shifting from point assistants toward agentic selling, systems that research accounts, draft and send sequenced outreach, log activity, and surface next-best-actions with human oversight. Buyers weigh pipeline impact, data quality, deliverability, and CRM fit.
Sales AI ingests CRM, conversation, and intent data, then prospects and prioritizes accounts, generates personalized outreach, captures and analyzes calls and emails, scores leads and deals, and recommends next steps, surfacing actions or executing within set rules.
Platforms combine data enrichment, generative outreach, conversation intelligence, and predictive scoring/forecasting, integrated with the CRM, email, and dialer so activity is captured and acted on automatically.
Sales teams connect data and define ICP, sequences, and guardrails; reps review AI recommendations and drafts, while managers use deal and forecast intelligence to coach and plan.
Find and enrich target accounts and contacts and prioritize them by fit and intent signals.
Generate tailored emails and sequences at scale using account research and CRM context.
Record, transcribe, and analyze calls for talk ratios, topics, risks, and coaching insights.
Predict which leads and deals are most likely to convert so reps focus where it pays off.
Surface deal risk and forecast revenue from real activity and engagement signals.
Auto-log activity, update records, and recommend next-best-actions to keep the CRM accurate.
Automating research, outreach drafting, and CRM data entry frees reps to focus on buyers.
Scoring and intent signals focus effort on the accounts and deals most likely to close.
Generate relevant, tailored outreach without hours of manual research per prospect.
Conversation intelligence reveals what top reps do so managers can coach the rest.
Activity-based signals improve pipeline visibility and forecast reliability.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| AI SDR / prospecting agents | Automated research and outreach | SMB to enterprise | Scales pipeline generation | Deliverability and quality oversight needed |
| Conversation intelligence | Call recording, analysis, coaching | Any | Coaching and deal insight | Consent-sensitive |
| Predictive scoring & forecasting | Lead/deal scoring, revenue forecast | Mid-market to enterprise | Focus and visibility | Needs clean historical data |
| Sales-engagement AI | Sequenced outreach and automation | Any | Efficiency across the funnel | Risk of generic spam without controls |
Technology: Technology sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Healthcare: Healthcare sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Financial Services: Financial Services sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Retail & E-commerce: Retail & E-commerce sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Education: Education sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Professional Services: Professional Services sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Manufacturing: Manufacturing sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Media: Media sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Look for evidence of real pipeline or conversion lift, not just activity metrics or feature lists.
Confirm deep integration with your CRM, email, and dialer so activity is captured and acted on.
Assess the accuracy and coverage of contact, account, and intent data.
For outreach agents, verify deliverability safeguards and controls to avoid spammy, off-brand messaging.
Confirm compliance for outreach (CAN-SPAM/GDPR) and consent for call recording.
Understand seat vs. usage pricing and model expected ROI against your motion.
Sales AI is moving toward agentic SDRs that research, sequence, and engage prospects end to end with human oversight.
Conversation and intent signals are making prioritization and forecasting sharper and more real-time.
Personalization is deepening as agents ground outreach in richer account and buyer context.
Buyers should prioritize measurable pipeline impact, CRM fit, data quality, deliverability and compliance controls, and transparent governance.
Sales AI agents use machine learning and generative models to automate and assist selling, prospecting and prioritizing accounts, drafting and personalizing outreach, capturing and analyzing calls and emails, scoring leads and deals, and forecasting revenue. They exist both as standalone tools (AI SDRs, conversation intelligence, forecasting) and as AI features inside CRMs and sales-engagement platforms, designed to give reps more selling time and managers better visibility.
No, it changes their focus. AI automates research, outreach drafting, CRM data entry, and analysis, while reps concentrate on relationships, discovery, negotiation, and closing. Fully automating buyer relationships tends to backfire; the best results come from reps directing AI and reviewing its output, especially for outreach.
They can, by prioritizing the right accounts, personalizing outreach at scale, and freeing reps from busywork. But results depend on data quality, deliverability discipline, and your sales motion. Insist on evidence of incremental pipeline or conversion lift measured against a baseline, not just more emails sent or calls logged.
Good tools ground messages in real account research and CRM context, enforce deliverability best practices (warm-up, sending limits, domain health), and give you brand and review controls. Without those safeguards, mass AI outreach can hurt deliverability and brand, so evaluate quality controls and compliance carefully.
Recording laws vary by region and may require participant consent. Reputable conversation-intelligence tools provide consent and notification features, but you're responsible for complying with applicable laws and policy. Review consent handling, data residency, and retention before adopting.
Reputable vendors offer encryption, access controls, retention settings, and compliance certifications, and enterprise plans typically guarantee your data isn't used to train shared models. Given the sensitivity of CRM and conversation data, confirm data handling before connecting your systems.
Common models are per-seat (rep) subscriptions, usage-based (contacts, emails, or minutes), or add-ons within a CRM or sales-engagement platform. Estimate your team size and activity volume, and model expected ROI against your average deal size to compare true cost.
Prioritize evidence of pipeline impact, deep CRM and stack integration, data quality and enrichment, deliverability and quality controls for outreach, privacy and consent compliance, and pricing tied to ROI. Pilot with clear success metrics against a baseline before scaling across the team.
