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54 Listings in Sales AI Agents Available
What is Landbase? Landbase is a go-to-market infrastructure platform that combines GTM data with AI agents so revenue teams can find, qualify and prioritize accounts. The vendor cites 3B+ contact records and native CRM integrations. Key capabilities of Landbase Agentic Search: natural language queries to discover accounts B2B Database: business intelligence data AI Qualification: evaluates accounts against custom criteria Lookalikes: finds companies similar to your best customers Signals: monitors hiring, funding and technology changes AI Agents: autonomous account discovery and qualification How Landbase works Landbase works in five steps: target accounts with data, web signals and lookalikes, qualify fit with agents, prioritize by conversion likelihood, enrich with contact and firmographic data, and automate monitoring for new accounts. Complex natural language queries return in seconds. Who uses Landbase? Revenue, sales and marketing teams. The vendor reports a 49 percent connect rate on targeted campaigns and 189 meetings booked in one month for a customer. Landbase pricing Landbase does not show prices on the homepage content reviewed and points to a pricing page. Landbase alternatives 11x and Artisan sell AI sales development agents, Humantic AI and Oliv AI focus on sales intelligence, and Topo targets pipeline generation. Landbase leads with data and account qualification.
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What is Topo? Topo is an outbound prospecting AI agent offering AI SDR agents that research accounts, find contacts and run personalized multichannel outbound. Founded in 2023 and based in Paris, France, Topo helps B2B sales teams automate outbound prospecting work and get results faster. Key capabilities of Topo Account research Multichannel sequences Lead qualification Meeting booking CRM integration Analytics and reporting How Topo works Topo takes text and CRM data as input and produces text and email. 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 Topo? Topo is built for B2B sales teams. It suits teams that want account research and multichannel sequences without adding headcount, while keeping people in control of review and final decisions. Topo vs 11x Topo is often compared with 11x. Topo stands out for account research and lead qualification. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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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.
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What is Floworks? Floworks is a SDR AI agent offering an autonomous AI SDR that researches leads, writes emails and books meetings. Founded in 2023 and based in Bengaluru, India, Floworks helps SMB and mid-market sales teams automate AI SDR work and get results faster. Key capabilities of Floworks Lead research Email writing Follow-ups Meeting booking CRM integration Analytics and reporting How Floworks works Floworks takes text and CRM data as input and produces text and email. 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 Floworks? Floworks is built for SMB and mid-market sales teams. It suits teams that want lead research and email writing without adding headcount, while keeping people in control of review and final decisions. Floworks vs AiSDR Floworks is often compared with AiSDR. Floworks stands out for lead research and follow-ups. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is AutoRFP? AutoRFP is a RFP automation AI agent offering AI that answers RFPs and questionnaires by drafting responses from past answers and documents. AutoRFP helps small proposal teams automate RFP automation work and get results faster. Key capabilities of AutoRFP Bulk RFP drafting Answer library Document import Export to original format Source-cited answers Reviewer workflows How AutoRFP works AutoRFP takes documents as input and produces text and documents. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, Google Drive, SharePoint and Slack, so the agent works inside existing workflows. Who uses AutoRFP? AutoRFP is built for small proposal teams. It suits teams that want bulk RFP drafting and answer library without adding headcount, while keeping people in control of review and final decisions. AutoRFP vs Loopio AutoRFP is often compared with Loopio. AutoRFP stands out for bulk RFP drafting and document import. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Inventive AI? Inventive AI is a RFP response AI AI agent offering an AI RFP and security questionnaire platform that drafts accurate answers from company knowledge. Inventive AI helps proposal and sales teams automate RFP response AI work and get results faster. Key capabilities of Inventive AI AI answer drafting Knowledge base sync Content gap detection Collaboration Source-cited answers Reviewer workflows How Inventive AI works Inventive AI takes documents and text as input and produces text and documents. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, Google Drive, SharePoint and Slack, so the agent works inside existing workflows. Who uses Inventive AI? Inventive AI is built for proposal and sales teams. It suits teams that want AI answer drafting and knowledge base sync without adding headcount, while keeping people in control of review and final decisions. Inventive AI vs Loopio Inventive AI is often compared with Loopio. Inventive AI stands out for AI answer drafting and content gap detection. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Steerlab? Steerlab is an AI-driven platform that automates responses to RFPs, RFIs and security questionnaires for sales and proposal teams. Key capabilities of Steerlab Auto-generated answers: Drafts responses to RFPs, RFIs and security questionnaires. Content library: A library that is managed automatically. Deal insights: Surfaces actionable insights for winning deals. Collaboration: Progress tracking for teams working on one response. Chrome extension: Answers questions inside web portals. Slack bot: Gets answers from within Slack. Co-Pilot: Assistant for drafting and review. How Steerlab works Teams upload an RFP or questionnaire, and Steerlab drafts answers from the company content library. Reviewers edit and approve inside the platform or through the Chrome extension, Slack bot and Co-Pilot, and finished answers feed back into the library. The homepage offers a free first RFP or questionnaire. Who uses Steerlab? Sales, proposal and security teams. Customers named by the vendor include Zendesk, AWS, Mantra, Gladia, Playable, beqom and Staffbase. Steerlab pricing Pricing is not published. The homepage invites teams to try the product for free with a first RFP or questionnaire. Steerlab alternatives DeepRFP and 1up also automate RFP and questionnaire answers, and SecurityPal focuses on security reviews. Steerlab pairs a managed library with Chrome and Slack access.
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What is Arphie? Arphie is an AI platform that helps go-to-market teams automate RFP and security questionnaire responses. It describes its product as knowledge agents that help teams win more RFPs. Key capabilities of Arphie AI drafting: Drafts answers for RFPs and questionnaires Knowledge connections: Google Drive, SharePoint, Confluence, Notion, Seismic and Highspot Answer transparency: Shows sources and confidence scores Collaboration: Deadline tracking and approval workflows SSO: SAML 2.0 for enterprises Security controls: Encryption in transit and at rest and annual penetration tests How Arphie works Arphie connects to your content repositories, drafts answers to incoming questions with AI agents, and shows which sources each answer used and how confident it is, so reviewers can check the reasoning. Teams track deadlines and route approvals inside the platform. Who uses Arphie? Arphie is used by sales, proposal and security teams. Customers named on its site include Navan, Contentful, Recorded Future and Qualys, and the vendor claims speed gains of 60% or more versus legacy tools. Arphie pricing Arphie does not publish pricing on its homepage. Arphie alternatives Alternatives include AutoRFP and Inventive AI, which also automate RFP responses. Arphie emphasizes source and confidence transparency.
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What is Outreach? Outreach is an AI-powered revenue orchestration platform for sales, marketing, revenue operations and customer success teams, founded in 2014. Its AI agents work alongside reps to prospect, manage deals, forecast, coach and expand accounts. Key capabilities of Outreach AI agents: Prospect, manage deals, forecast, coach and expand accounts. Outreach Omni: Conversational agent to ask questions and take actions on accounts. Agent Studio: Workflow automation with templates for core sales motions. Knowledge Base: Upload case studies and battlecards to personalize AI output. Meeting Prep Agent: Briefings with account history and talking points. How Outreach works Reps and managers work in Outreach while agents handle prospecting, meeting prep and deal tasks, drawing on uploaded knowledge. The Outreach MCP lets information and actions flow across the GTM stack so agents can act for sales teams. Agent controls are fully configurable with audit trails. Who uses Outreach? Enterprise revenue teams use Outreach. The vendor lists Avis, Databricks, Zoom, Siemens, Snowflake, Okta and ServiceNow as customers. Outreach pricing The vendor does not publish prices, so Outreach is quote-based. Outreach alternatives Salesloft is a sales engagement and forecasting platform, Apollo.io combines a contact database with outreach, and Clari focuses on revenue forecasting. Outreach is distinguished by its agent studio and MCP integration layer.
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What is Salesforce Agentforce? Salesforce Agentforce is a platform for building and deploying autonomous AI agents that act across service, sales, marketing and commerce. The agents are grounded in Salesforce CRM and business data. Key capabilities of Salesforce Agentforce Agent Builder: Create agents and define their actions. Service and sales agents: Autonomous agents for customer-facing and employee-facing work. Atlas reasoning engine: Reasoning layer that plans agent actions. Data Cloud grounding: Grounds agents in CRM and business data. Guardrails and governance: Controls over agent behavior. How Salesforce Agentforce works Admins build agents in the Salesforce builder and ground them in CRM and Data Cloud data. Agents then take actions in service, sales and other flows. Usage is metered in conversations or Flex Credits, which the Digital Wallet tracks in real time, with threshold alerts. Who uses Salesforce Agentforce? Salesforce customers deploying agents for support, sales and commerce use Agentforce. Employee-facing deployments can use per-user licenses. Salesforce Agentforce pricing Salesforce lists $2 per conversation, or Flex Credits at $500 per 100k credits, where a standard action costs 20 credits and a voice action 30. An Agentforce User License is $5 per user per month, and a free Foundations tier exists. Salesforce Agentforce alternatives Clari focuses on revenue forecasting, Regie.ai on sales content and outreach, and 11x on autonomous sales development agents. Agentforce is native to Salesforce CRM data.
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What is Clarify? Clarify is an autonomous CRM for revenue teams. AI agents capture email, calls and meetings and fill CRM fields so reps avoid manual data entry. Key capabilities of Clarify Rep Agent: Personal assistant for prospecting, meeting prep, deal updates and follow-ups. Lead Finder and Campaigns: Unified prospecting tools. Automatic data capture: Syncs email and calendar to populate records. Deal intelligence: Surfaces opportunities from communications. Self-configuring fields: AI picks field types and autofills them. Enrichment: Adds data to records automatically. How Clarify works Clarify connects to your email and calendar, records activity and writes it to contacts and deals. The AI decides field types and fills values. The Rep Agent uses that data to prepare for meetings and draft follow-ups. Who uses Clarify? Clarify is used by startup founders, sales teams and GTM teams. One user says it handles 90 percent of unwanted data entry, a customer testimonial on the vendor site. Clarify pricing Third-party sources report credit-based pricing with unlimited seats. The Starter plan is $50 per month with 5,000 credits, and extra 5,000-credit packs cost $50. Check the vendor pricing page for current tiers. Clarify alternatives Alternatives include Topo, which supports account-based sales, Regie.ai, which generates sales content and outreach, and Humantic AI, which profiles buyer personalities.
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What is Oliv AI? Oliv AI is a revenue orchestration AI agent offering AI agents that update CRM, prepare deal briefs and flag pipeline risk from sales conversations. Founded in 2021 and based in San Francisco, California, USA, Oliv AI helps sales managers and account executives automate revenue orchestration work and get results faster. Key capabilities of Oliv AI Automatic CRM updates Deal risk alerts Meeting prep briefs Forecast insights CRM integration Analytics and reporting How Oliv AI works Oliv AI takes audio, text 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, LinkedIn and Gmail, so the agent works inside existing workflows. Who uses Oliv AI? Oliv AI is built for sales managers and account executives. It suits teams that want automatic CRM updates and deal risk alerts without adding headcount, while keeping people in control of review and final decisions. Oliv AI vs Gong Oliv AI is often compared with Gong. Oliv AI stands out for automatic CRM updates and meeting prep briefs. 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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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.
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.
