Try monday CRM AI sales agents<\/a>\n <\/p>\n"},{"acf_fc_layout":"testimonials_carousel","testimonial_collection_select":14083,"tc_slide_to_show":"2"},{"acf_fc_layout":"text","content":"
2. Gong<\/h3>\n
Gong converts customer conversations into revenue insight your team can use. For revenue leaders, RevOps, and sales managers who need more than intuition to understand pipeline health, it analyzes calls, emails, and meetings at scale to uncover deal risk, coaching opportunities, and forecast signals before those issues turn into lost revenue.<\/p>\n"}]},{"main_heading":"","content_block":[{"acf_fc_layout":"image","image_type":"normal","image":344778,"image_link":""}]},{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"
Use case: <\/strong>Revenue teams that already run a CRM and sales engagement stack, but want a conversation intelligence layer that improves forecasting, highlights deal risk earlier, and helps managers coach reps based on what top performers consistently do<\/p>\nKey features<\/h4>\n\n- AI deal risk scoring:<\/strong> Gong analyzes conversation patterns, sentiment shifts, competitor mentions, and stakeholder engagement to flag stalling deals \u2014 so managers can intervene before it’s too late.<\/li>\n
- Revenue forecasting:<\/strong> The platform’s AI draws on historical deal patterns and live pipeline activity to produce forecasts that go well beyond what manual CRM entry can deliver.<\/li>\n
- Rep coaching and performance benchmarking:<\/strong> Gong identifies what top performers say and do differently \u2014 which questions they ask, how they handle objections, when they bring up pricing \u2014 and surfaces those patterns as coaching opportunities for the wider team.<\/li>\n<\/ul>\n
Pricing<\/h4>\n\n- Pricing model:<\/strong> Quote-based with per-user licensing and a platform fee; no free tier is available.<\/li>\n
- Integrations with your existing tech stack are included at no additional cost.<\/li>\n
- The Engage dialer runs over Twilio and is included for Engage seats.<\/li>\n<\/ul>\n
Considerations<\/h4>\n\n- Gong is more of a co-pilot than an autopilot. It excels at surfacing insights and can help draft emails or suggest next steps, but it doesn’t run outreach sequences on its own. If you need a fully autonomous sales bot, you’ll need to pair Gong with another platform.<\/li>\n
- The platform requires significant conversation volume to deliver meaningful value, making it less relevant for teams with low call frequency or primarily text-based sales motions.<\/li>\n<\/ul>\n
3. HubSpot<\/h3>\n
HubSpot combines marketing, sales, and customer service in a single AI-powered platform designed for growing companies. Its Breeze AI agents handle prospecting, research, and deal progression natively inside the CRM, which makes it especially appealing to SMB and mid-market teams that want one system for the full customer lifecycle.<\/p>\n"}]},{"main_heading":"","content_block":[{"acf_fc_layout":"image","image_type":"normal","image":344786,"image_link":""}]},{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"
Use case: <\/strong>SMB or mid-market teams that want sales and marketing operating on shared data, as its AI agents can prospect and run outreach from inside the same system<\/p>\nKey features<\/h4>\n\n- Breeze Prospecting Agent:<\/strong> researches accounts, identifies buying signals, drafts personalized outreach, and enrolls prospects into sequences \u2014 with a “review before sending” or fully autonomous mode<\/li>\n
- Predictive lead scoring:<\/strong> prioritizes leads based on engagement data and firmographic fit, so reps focus on the contacts most likely to convert<\/li>\n
- Guided selling recommendations:<\/strong> surfaces next-step suggestions based on deal stage and historical win patterns, reducing guesswork for reps mid-cycle<\/li>\n<\/ul>\n
Pricing<\/h4>\n\n- Sales Hub Professional:<\/strong> $100\/seat per month<\/li>\n
- Sales Hub Enterprise:<\/strong> $150\/seat per month<\/li>\n
- HubSpot Credits:<\/strong> $0.010 per credit; Prospecting Agent consumes 100 credits per lead recommendation<\/li>\n
- Included credits:<\/strong> 3,000\/month on Professional; 5,000\/month on Enterprise<\/li>\n
- Startup discount:<\/strong> 30\u201390% off in early years for eligible startups through HubSpot’s for Startups program<\/li>\n<\/ul>\n
Considerations<\/h4>\n\n- AI features like the Prospecting Agent require Sales Hub Professional or Enterprise \u2014 teams on Starter or free plans won’t have access, and aggressive automation use can add meaningful credit costs at scale.<\/li>\n
- The AI features are more deeply embedded on the marketing side than the pure sales execution side, which means sales teams may see slower AI ROI than marketing teams working in the same platform.<\/li>\n<\/ul>\n
4. Salesforce<\/h3>\n
Salesforce\u2019s Agentforce platform brings enterprise-scale AI agents into core sales workflows, from lead qualification and meeting booking to customer inquiry handling and pipeline updates. Built on the Atlas Reasoning Engine, it\u2019s aimed at large organizations that need autonomous, multi-step workflows grounded in rich CRM data.<\/p>\n"}]},{"main_heading":"","content_block":[{"acf_fc_layout":"image","image_type":"normal","image":344794,"image_link":""}]},{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"
Use case: <\/strong>Large enterprises with dedicated RevOps and IT support that need a technically comprehensive agentic CRM and can absorb the effort required for setup, integration, and ongoing administration.<\/p>\nKey features<\/h4>\n\n- Agentforce autonomous agents:<\/strong> Prebuilt SDR and Sales Coach agents that autonomously research prospects, answer objections, book meetings, and run personalized role-plays based on live deal context.<\/li>\n
- Atlas Reasoning Engine:<\/strong> Powers multi-turn, context-aware decision-making across complex sales workflows, enabling agents to reason across multiple data sources and execute actions without manual input.<\/li>\n
- Einstein predictive scoring and forecasting:<\/strong> Surfaces opportunity insights, lead scores, and revenue forecasts directly within the CRM, giving sales leaders a data-backed view of pipeline health.<\/li>\n<\/ul>\n
Pricing<\/h4>\n\n- Free Suite:<\/strong> $0 for up to 2 users<\/li>\n
- Starter Suite:<\/strong> $25\/user\/month (billed annually)<\/li>\n
- Pro Suite:<\/strong> $100\/user\/month (billed annually)<\/li>\n
- Enterprise:<\/strong> $175\/user\/month (billed annually)<\/li>\n
- Unlimited:<\/strong> $350\/user\/month (billed annually)<\/li>\n
- Agentforce 1 Sales:<\/strong> $550\/user\/month (billed annually)<\/li>\n
- Agentforce for Sales add-on:<\/strong> From $125\/user\/month<\/li>\n<\/ul>\n
Considerations<\/h4>\n\n- High implementation complexity:<\/strong> Configuring AI agents, defining business rules, and maintaining integrations typically requires dedicated Salesforce administrators or external consultants \u2014 making it a significant lift for teams without in-house technical resources.<\/li>\n
- Pricing complexity:<\/strong> Multiple SKUs, Flex Credits, add-ons, and optional Success Plans make it difficult to forecast total cost of ownership, particularly for mid-market teams evaluating ROI before committing.<\/li>\n<\/ul>\n
5. Apollo.io<\/h3>\n
Apollo.io is designed to make outbound prospecting systematic and scalable without forcing you to grow the team in parallel. For SDR-heavy organizations and outbound-focused revenue teams, it pairs a 230M+ contact database with an AI Assistant that can execute multi-step prospecting workflows, from list creation through sequence launch.<\/p>\n"}]},{"main_heading":"","content_block":[{"acf_fc_layout":"image","image_type":"normal","image":344802,"image_link":""}]},{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"
Use case: <\/strong>Teams focused on outbound that need to increase prospecting volume and targeting precision without hiring more SDRs to keep up<\/p>\nKey features<\/h4>\n\n- AI sequence generation:<\/strong> Analyzes successful outreach patterns and builds multi-step sequences tailored to specific personas, industries, and buying stages \u2014 across email and LinkedIn.<\/li>\n
- Intent signal detection:<\/strong> Surfaces prospects showing active buying behavior and triggers outreach automatically when intent spikes, so your team reaches out at exactly the right moment.<\/li>\n
- Contact enrichment:<\/strong> Pulls firmographic, technographic, and engagement data to build complete prospect profiles, with 7-step email verification.<\/li>\n<\/ul>\n
Pricing<\/h4>\n\n- Free:<\/strong> $0\/month<\/li>\n
- Basic, Professional, and Organization:<\/strong> Paid plans available<\/li>\n
- Annual billing discounts are available across paid plans.<\/li>\n
- The Advanced Dialer Add-On is priced at $149\/month, or $119\/month billed annually.<\/li>\n
- Credit-based actions \u2014 including contact exports, mobile number lookups, and AI research runs \u2014 consume plan credits and should be factored into budget planning.<\/li>\n<\/ul>\n
Considerations<\/h4>\n\n- Apollo excels at top-of-funnel prospecting but requires a separate CRM to manage deals, track pipeline, and maintain relationships after the first meeting.<\/li>\n
- Data accuracy varies by region and industry, and the credit-based pricing model can make costs harder to predict as outreach volume scales.<\/li>\n<\/ul>\n
6. Cognism<\/h3>\n
Cognism helps sales teams turn prospect research into something faster and more reliable, surfacing verified contacts at the moment they\u2019re most useful. It\u2019s especially strong in European markets, where GDPR compliance and phone-verified mobile data matter more than sheer database size. For B2B teams selling into EMEA, that focus can remove a lot of uncertainty from prospecting.<\/p>\n"}]},{"main_heading":"","content_block":[{"acf_fc_layout":"image","image_type":"normal","image":344810,"image_link":""}]},{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"
Use case: <\/strong>B2B sales teams that need accurate, compliance-ready contact data to find high-intent prospects and connect quickly, particularly when selling in European markets with tighter privacy requirements<\/p>\nKey features<\/h4>\n\n- AI Search:<\/strong> Uses natural language queries to find contacts and companies fast \u2014 no complex filters needed.<\/li>\n
- Research by Cognism AI:<\/strong> Delivers one-click account summaries with company context, priorities, competitors, and talking points \u2014 all grounded in cited sources to reduce inaccurate outputs.<\/li>\n
- Diamond Data and Smart Personas:<\/strong> Phone-verified mobile numbers paired with AI-generated buyer personas help teams prioritize the right accounts and reach decision-makers who actually pick up.<\/li>\n<\/ul>\n
Pricing<\/h4>\n\n- Standard and Pro packages:<\/strong> Quote-only pricing based on team size, workflow needs, and desired signals \u2014 no public rates listed<\/li>\n
- Add-ons:<\/strong> On-demand mobile verification, additional intent topics, CRM Enrichment, and Data-as-a-Service are available at additional cost<\/li>\n
- Credits model:<\/strong> Contact reveals operate on a per-user subscription plus credits structure; total cost varies by usage<\/li>\n<\/ul>\n
Considerations<\/h4>\n\n- Cognism’s database is smaller than some alternatives, since the platform prioritizes verified data quality over raw volume \u2014 teams focused on high-contact-count prospecting may find coverage gaps outside EMEA.<\/li>\n
- The platform functions as an assistive sensing agent, not an autonomous outreach engine \u2014 teams need to pair it with an engagement platform or CRM to act on the insights it surfaces.<\/li>\n<\/ul>\n
7. Clay<\/h3>\n
Clay brings together 150+ data sources, AI-led prospect research, and personalized outreach generation before a rep ever hits send. It\u2019s especially compelling for RevOps teams and technically comfortable SDR leaders that want to replace a patchwork of enrichment tools with one system for research, personalization, and activation. If you care as much about message quality as scale, Clay deserves close attention.<\/p>\n"}]},{"main_heading":"","content_block":[{"acf_fc_layout":"image","image_type":"normal","image":344818,"image_link":""}]},{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"
Use case: <\/strong>Revenue teams with RevOps support that want highly personalized outreach at scale without stitching together multiple enrichment vendors and workflow tools<\/p>\nKey features<\/h4>\n\n- Waterfall enrichment:<\/strong> Pulls prospect data from 150+ sources in sequence, automatically moving to the next provider if the first doesn’t return a result \u2014 maximizing data coverage with zero manual effort.<\/li>\n
- Claygent AI research agent:<\/strong> Navigates the web like a human would \u2014 filling forms, clicking filters, extracting structured data \u2014 to surface prospect signals that standard enrichment misses.<\/li>\n
- MCP-powered first-party context:<\/strong> Connects agents to systems like Salesforce and Gong so reps can run Clay workflows directly from ChatGPT or Claude, with permissions and credit budgets controlled by Ops.<\/li>\n<\/ul>\n
Pricing<\/h4>\n\n- Free:<\/strong> $0\/month \u2014 100 data credits and 500 actions per month; includes Claygent and multi-provider waterfalls (up to 200 rows per table).<\/li>\n
- Launch:<\/strong> Starting at $185\/month \u2014 2,500 data credits and 15,000 actions per month; adds phone enrichment, job-change tracking, and email campaign integrations.<\/li>\n
- Growth:<\/strong> Starting at $495\/month \u2014 6,000 data credits and 40,000 actions per month; adds CRM auto-sync, webhooks, web intent, and ad audience pushes.<\/li>\n
- Enterprise:<\/strong> Custom pricing \u2014 100K+ data credits and 200K+ actions per month; includes SSO, RBAC, data warehouse sync, and a dedicated strategist.<\/li>\n
- Annual billing saves 10% across paid plans.<\/li>\n<\/ul>\n
Considerations<\/h4>\n\n- Clay requires meaningful technical setup and ongoing workflow maintenance \u2014 teams without dedicated RevOps support may find the learning curve steep.<\/li>\n
- While Clay has a native sequencer for activation, it isn’t a full-blown engagement platform. Most teams connect it to their existing CRM or sales tool to manage the complete outreach process.<\/li>\n<\/ul>\n
8. ZoomInfo<\/h3>\n
ZoomInfo is built to turn B2B intelligence into action. It surfaces buying signals, enriches contact data, and can trigger outreach before competitors even realize an account is active. For enterprise sales teams running account-based strategies, that combination of massive data coverage, AI prioritization, and automated sequencing is a major advantage. Its Copilot layer adds next-best-action guidance, account summaries, and AI-drafted emails, all synced back to the CRM.<\/p>\n"}]},{"main_heading":"","content_block":[{"acf_fc_layout":"image","image_type":"normal","image":344826,"image_link":""}]},{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"
Use case: <\/strong>Enterprise sales teams with large total addressable markets that need to identify high-value accounts early, engage them quickly, and maintain clean CRM data without a heavy manual burden<\/p>\nKey features<\/h4>\n\n- Intent data monitoring and buying signal detection:<\/strong> ZoomInfo scans 28M+ sites and domains daily to track research activity, technology stack changes, and competitor comparisons \u2014 flagging accounts showing active buying behavior so reps can act at the right moment.<\/li>\n
- AI-guided prospecting with Copilot:<\/strong> Copilot delivers a prioritized homepage, “Breaking Alerts” via Slack or Teams, AI-generated email drafts, and account summaries \u2014 with bidirectional CRM sync so reps spend less time on research and more time selling.<\/li>\n
- MCP connectors for agentic workflows:<\/strong> ZoomInfo’s Model Context Protocol (MCP) lets external AI agents \u2014 including Claude and ChatGPT \u2014 securely call ZoomInfo data to find, enrich, and research accounts inside natural-language workflows, making it a strong fit for teams building AI-native GTM motions.<\/li>\n<\/ul>\n
Pricing<\/h4>\n\n- Quote-based:<\/strong> ZoomInfo does not publish public pricing tiers. According to ZoomInfo’s own data sourcing page, paid access to ZoomInfo Sales averages more than $30,000 annually, reflecting its enterprise orientation.<\/li>\n
- Contracts are typically structured on annual, semi-annual, or quarterly upfront billing schedules, with volume and term discounts negotiated during the sales cycle.<\/li>\n
- Additional modules \u2014 including Engage for sequencing, Intent data, and API integrations \u2014 are available as separate add-ons.<\/li>\n<\/ul>\n
Considerations<\/h4>\n\n- Copilot functions as an AI-assisted selling layer rather than a fully autonomous outbound agent; it guides and drafts rather than executing unsupervised campaigns end-to-end, which may not suit teams looking for a hands-off SDR replacement.<\/li>\n
- Pricing and annual commitment structures make ZoomInfo a significant investment, particularly for smaller teams who may find lower-cost, agent-first platforms a more accessible starting point.<\/li>\n<\/ul>\n
9. Regie.ai<\/h3>\n
Regie.ai approaches outbound prospecting as a signal-driven, multi-channel workflow rather than a collection of disconnected tasks. It handles lead discovery, enrichment, personalized messaging, and CRM logging so reps can spend more time on conversations that may actually close. The platform is aimed at B2B sales organizations, especially SDR and AE teams, that want more outbound scale without sacrificing message quality or brand consistency. Its RegieOne platform brings signals, enrichment, sequencing, and a native parallel dialer into a single workspace.<\/p>\n"}]},{"main_heading":"","content_block":[{"acf_fc_layout":"image","image_type":"normal","image":344834,"image_link":""}]},{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"
Use case: <\/strong>B2B sales teams that want to automate repetitive outbound work while keeping human reps in charge of the highest-value interactions<\/p>\nKey features<\/h4>\n\n- Signal-driven prospecting:<\/strong> Agents monitor 100+ built-in signals from sources like LinkedIn, G2, Crunchbase, and CRM records to prioritize accounts and trigger outreach at the right moment.<\/li>\n
- Multi-channel engagement:<\/strong> Agents generate contextual emails, LinkedIn touches, and call guides, then coordinate follow-ups across channels \u2014 all within a single platform.<\/li>\n
- Built-in parallel dialer:<\/strong> Native parallel dialing across up to 9 lines, with AI coaching, voicemail drop, and transcription analytics, reducing the need for a separate dialer platform.<\/li>\n<\/ul>\n
Pricing<\/h4>\n\n- AI SEP:<\/strong> $180\/user\/month (annual, 10-seat minimum)<\/li>\n
- Force Multiplier Rep:<\/strong> $499\/user\/month (annual, 5-seat minimum)<\/li>\n
- Enterprise:<\/strong> Custom pricing, contact sales<\/li>\n
- Add-ons:<\/strong> Parallel Dialer at $1,800\/user\/year; mailbox rotation at $50\u2013$100\/user\/month; additional data credit packages available<\/li>\n<\/ul>\n
Considerations<\/h4>\n\n- Output quality can vary \u2014 some users report that AI-generated messages occasionally require editing to match brand voice, and initial setup and playbook calibration takes meaningful time to get right.<\/li>\n
- The parallel dialer is only available as a bundled add-on, not as a standalone purchase, which may limit flexibility for teams that only need dialing capabilities.<\/li>\n<\/ul>\n
10. Clari<\/h3>\n
Clari is built to replace pipeline guesswork with clearer forecasting. By continuously analyzing deal activity, rep behavior, and historical win patterns, it gives CROs and VPs of Sales the visibility they need to report with confidence and allocate resources based on evidence instead of instinct.<\/p>\n"}]},{"main_heading":"","content_block":[{"acf_fc_layout":"image","image_type":"normal","image":344842,"image_link":""}]},{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"
Use case: <\/strong>VP of Sales and CRO-level buyers who need dependable pipeline visibility to report upward, allocate resources intelligently, and catch risk before deals slip<\/p>\nKey features<\/h4>\n\n- AI-powered revenue forecasting:<\/strong> Analyzes deal progression, rep activity, and historical win patterns to predict which deals will close and when \u2014 producing forecast accuracy that manual CRM-based forecasts cannot match.<\/li>\n
- Deal risk scoring:<\/strong> Flags deals showing signs of stalling, such as dropped champion engagement, repeatedly pushed close dates, or activity levels that don’t match historical win patterns.<\/li>\n
- Rep activity tracking:<\/strong> Identifies which behaviors correlate with wins and flags when reps deviate from those patterns, giving managers a concrete basis for coaching conversations.<\/li>\n<\/ul>\n
Pricing<\/h4>\n\n- All plans:<\/strong> Quote-based only<\/li>\n
- No standard per-tier pricing is published publicly<\/li>\n
- Clari states no extra platform fees for integrations or continuous support, though specific module combinations are packaged via quote<\/li>\n<\/ul>\n
Considerations<\/h4>\n\n- Clari is a sensing platform that surfaces insights but does not take autonomous action, so teams looking for end-to-end execution automation will need to supplement it with additional platforms.<\/li>\n
- The platform requires significant deal volume and historical data to produce accurate forecasts, meaning teams with short sales cycles or low deal counts may not see enough value to justify the investment.<\/li>\n<\/ul>\n