The 15 Best AI Sales Agents for B2B Teams in 2026

The B2B sales rep in 2026 is doing a different job than the rep in 2024. Salesforce's seventh annual State of Sales report, surveying 4,000+ sales professionals, found that reps still spend 60% of their time on non-selling work, and that 87% of sales teams now use AI in some form, with 54% having deployed an AI agent across some part of the sales cycle. Top-performing teams are 1.7x more likely than underperformers to be using agents.

The pace is moving faster than the category can keep up with. Gartner predicts that 95% of sellers' research workflows will begin with AI by 2027, up from less than 20% in 2024. Forrester reports that 88% of B2B organizations have adopted or plan to adopt AI agents, and that 94% of business buyers now use AI somewhere in their purchasing process, with conversational search now outpacing vendor websites and human reps as a buyer information source.

Almost every "best AI sales tools" list published in the last year is a vendor directory dressed up as a guide. This one is structured around how a real B2B seller actually uses AI in 2026: to generate customer-facing content, prospect at scale, run outbound, qualify inbound, analyze calls, and orchestrate engagement. Each tool below is in the list because it leads its job-to-be-done category as of May 2026, with verified pricing, current G2 standing, and a sharp "choose this if / skip this if" so you can actually decide.

Comparison table: the 15 agents at a glance

How we built this list

First, the tool has to be a real AI agent, meaning it executes a multi-step workflow autonomously or near-autonomously, not a feature with "AI" in the name attached to a static product. Second, it has to lead or seriously contend in its job-to-be-done category as of May 2026, based on G2 standing, recent product moves, customer adoption signals, and analyst coverage. Third, every entry below has been verified against current 2026 pricing pages, recent G2 reviews, and primary-source product announcements within the last 90 days.

Tools we excluded that show up on competing lists: pure data providers without an agent layer (ZoomInfo); pure dialers; chatbot builders without sales-specific workflows (Botsonic, CustomGPT, Lindy in a generic capacity); and tools that exist mostly as wrappers on a foundation model with no GTM-specific scope.

How to choose an AI sales agent in 2026

Picking an agent in 2026 is harder than picking a sales tool in 2022, because the categories are still moving. The five questions below cut through most of the noise.

What job is the agent doing?

The category divides cleanly into eight jobs: generating customer-facing content and automating seller workflows (Mutiny), running outbound prospecting (Artisan, 11x, Regie), enriching and researching prospects (Clay, Apollo), qualifying inbound traffic (Qualified), executing inside the engagement layer (Outreach, Salesloft), coaching and analyzing calls (Gong, Sybill, Cresta, Lavender), and acting as a CRM-native copilot (Agentforce, Breeze). Pick one bottleneck. An agent that does three jobs poorly is worse than three agents that each do one job well.

Is it autonomous, copilot, or inbound-triggered?

Autonomous agents (Artisan's Ava, 11x's Alice) run the workflow end-to-end with minimal human input, and reply rates of 1-3% at $250-$400 per qualified meeting are typical for the category per independent 2026 buyer data. Copilots (Regie, Lavender, Sybill) sit alongside a human and improve their output. Inbound-triggered agents (Qualified's Piper, HubSpot Breeze) wait for a website visitor or form fill and then act. The right archetype depends on whether your bottleneck is volume, relevance, or coverage.

Where does the data live?

Agents that run inside your CRM (Agentforce, Breeze) see deal context, account history, and engagement data natively. Agents that run outside your CRM (most autonomous SDRs) need to pull data in. Outreach and Salesloft both shipped Model Context Protocol (MCP) servers in spring 2026, which lets external AI applications (including Claude, ChatGPT, and Microsoft Copilot) read live pipeline and call data. The MCP standard is becoming the deciding factor for cross-stack integration. If your stack is Salesforce-anchored, an MCP-ready agent is the difference between a useful tool and another silo.

Who operates it?

Some agents are operated by RevOps or a sales engineer. Others are designed for the seller to run self-serve. This is the single biggest determinant of whether the agent gets used. Tools that require a workflow build, an admin handoff, or a marketing queue tend to stall. Tools where the AE or BDR can operate the agent themselves get adopted faster and recover more time per rep.

How does it handle the handoff?

The strongest signal in Gartner's May 2026 sales survey was that AI saves sellers nearly 5 hours per week, but 72% of sales organizations fail to reinvest that time into high-value activity. Greg Hessong, Senior Director Analyst at Gartner, put it this way:

"The most effective sales organizations are not simply layering AI onto existing ways of working. They are redesigning seller workflows so AI can support execution, recommendations and orchestration, while sellers focus their time on the moments where human judgment and customer value matter most."

An agent that pushes work into a CRM field nobody checks is a productivity loss. An agent that hands off to a seller with full context, at the right moment, with a clear next action, is the only kind worth deploying.

The 15 best AI sales agents for B2B teams in 2026

1. Mutiny (Best for: Customer-facing content generation + seller workflow automation)

Mutiny does two things in one platform. First, it's the AI agent for customer-facing content across the GTM cycle, used by sellers to generate ABM campaigns, business cases, deal rooms, pricing proposals, meeting recaps, competitive comparisons, and pitch decks on demand, without queuing through marketing or design. Second, it's a workflow automation tool that lets sellers build their own agents to handle the repetitive tasks in their day-to-day, so they spend more time on actual selling activities. Both run self-serve, operated by AEs, BDRs, marketers, CSMs, and partner managers without admin or sales engineering involvement.

Most agents in this list automate the top of the funnel (prospecting, outbound, scheduling). Mutiny automates the middle and bottom: the personalized assets a seller needs to advance a deal once a prospect is engaged, plus the manual workflows that surround them (account research, follow-up generation, content updates per stage, prep for the next call). The April 2026 product is rebuilt agent-first, with a template library and a generation engine that pulls account context (intent signals, recent calls, CRM data) into every asset and every workflow.

Snowflake's VP of Marketing, Hillary Carpio, described the unlock as letting commercial reps create the same caliber of content the enterprise team produces by hand:

"We've always invested heavily in personalized content for our enterprise accounts, but we can't do that for every deal. Mutiny lets our commercial reps create that same caliber of content on their own. Our sales team was genuinely shocked at the quality."

Key features:

• AI agent that generates customer-facing assets (deal rooms, business cases, pitch decks, recaps, comparisons, pricing proposals, ABM landing pages)

• Workflow automation: sellers build their own agents to automate repetitive day-to-day tasks (account research, follow-up generation, prep work) and reclaim time for selling

• Self-serve operator model: any GTM role can run or build agents without admin or marketing handoff

• Template library with prebuilt agents for common deal motions and seller workflows

• Account-context aware: pulls CRM, intent, and call data into each generated asset and workflow

• Used at enterprise scale by BMC, Snowflake, and Rippling

Pricing: Free, Business, Enterprise custom plans (starting at $30k).

G2: 4.6/5

Choose this if: Your bottleneck is the production of customer-facing assets per deal, or your sellers are losing hours per week to repetitive workflows that should be automated. Your AEs are waiting on marketing for one-pagers, business cases, or deal rooms. You want sellers building and operating their own agents rather than queuing requests through marketing, design, or RevOps.

Skip this if: Your only need is automated outbound prospecting (an SDR agent like Artisan or 11x is the right tool), or call analytics (Gong is the right tool).

See how Mutiny works for AEs | Pricing | Blueprints library

2. Salesforce Agentforce (Best for: AI agents inside Sales Cloud)

Agentforce is Salesforce's native AI agent platform, built on Einstein and Data Cloud, and deployed inside Sales Cloud workflows. Salesforce reports 18,500 customers and over 3 billion monthly agent workflows as of early 2026. The platform handles prospecting, lead qualification, meeting booking, quote generation, and CRM updates without leaving the Salesforce environment.

The advantage is data gravity. If your team lives in Salesforce, Agentforce sees every deal, every account, every interaction natively. The cost is configuration weight: deploying agents at enterprise scale typically requires admin or consulting expertise, which is why time-to-value is slower than HubSpot Breeze or third-party agents.

Key features:

• Autonomous agents for prospecting, qualification, meeting booking, quote generation

• Native Sales Cloud, Slack, and Data Cloud integration

• Agent Builder for custom multi-step workflows

• Cross-platform deployment via MuleSoft

Pricing: $50-$220/user/month add-on tiers, plus ~$2/conversation usage pricing. Requires existing Sales Cloud license.

G2: 4.4/5 (Sales Cloud)

Choose this if: Your team is Salesforce-anchored and you have admin or consulting capacity to configure agents. Enterprise scale and custom logic matter more than time-to-value.

Skip this if: You need agents running in less than a week, or you're SMB/mid-market and don't have a Salesforce admin in-house.

3. HubSpot Breeze (Best for: AI agents inside HubSpot)

Breeze is HubSpot's answer to Agentforce, deployed natively across the Sales, Marketing, Service, Content, and Operations Hubs. Breeze ships with prebuilt agents (prospecting, content generation, knowledgebase, support) and is included across HubSpot's tiers, including the free CRM. Pricing on usage runs around $1/conversation, roughly half of Agentforce's per-conversation rate.

The trade is the inverse of Agentforce: faster time-to-value, less depth at enterprise complexity. Breeze agents stay inside the HubSpot ecosystem, which is fine if HubSpot is your system of record and a friction point if it isn't.

Key features:

• Native agents for prospecting, lead scoring, content drafting, deal intelligence

• Out-of-the-box deployment without admin configuration

• MCP support for cross-model connectivity

• Available across Hub tiers including the free CRM

Pricing: Included with paid Hubs at no extra license cost; ~$1/conversation usage pricing on agent runs.

G2: 4.4/5 (Sales Hub)

Choose this if: HubSpot is your CRM and you want to deploy agents in days, not months. SMB and mid-market teams without a dedicated CRM admin.

Skip this if: You need agents that operate across non-HubSpot tools (CRM, data warehouse, support stack), or your enterprise complexity exceeds what HubSpot models well.

4. Apollo.io (Best for: All-in-one prospecting + AI assistant)

Apollo.io is the all-in-one sales intelligence and engagement platform, with a 275M+ B2B contact database, native sequencer, dialer, and AI Assistant that went GA in March 2026. The AI Assistant is grounded in Apollo's AI Context Center (which captures ICP, messaging, and product positioning) and ships free across paid tiers in 2026, with capabilities including AI-powered research (1 credit per run), AI email writing, and next-best-action recommendations.

Apollo's value position is real for SMB and mid-market: at $49-$119/user/month, the platform consolidates prospecting, enrichment, sequencing, and AI drafting into one license, well below the cost of stitching Outreach + ZoomInfo + Lavender together. The trade vs. enterprise platforms is depth on workflow governance and conversation intelligence.

Key features:

• 275M+ B2B contact database with 65+ filters

• AI Assistant for research, email drafting, and next-best-action (free on paid plans)

• AI Context Center for ICP and messaging grounding

• Native cadence builder, dialer, email tracking, conversation intelligence

• 200+ integrations including Salesforce and HubSpot

Pricing: Free tier (limited credits). Basic $49/user/month annual ($59 monthly). Professional $79/user/month annual ($99 monthly). Organization $119/user/month annual ($149 monthly, 3-user minimum). Q1 2026 unified credit system across email, phone, dialer, and AI research.

G2: 4.7/5

Choose this if: You're SMB or mid-market and want one platform for prospecting, sequencing, and AI drafting. You're cost-conscious and Outreach or Salesloft pricing doesn't fit.

Skip this if: You're enterprise with complex workflow governance needs (Outreach is a better fit), or your prospecting requires niche ICP coverage that standard databases miss (Clay is a better fit).

5. Clay (Best for: AI research and enrichment agents)

Clay is the category-defining tool for AI-driven prospect research and enrichment. Claygent, the AI research agent, navigates websites, parses data, and extracts custom fields using natural-language prompts. Clay's waterfall enrichment routes through 100+ data providers in sequence, with independent 2026 buyer benchmarks reporting email accuracy in the 85-92% range.

Clay overhauled its pricing in March 2026 with a dual-credit system (Data Credits separate from Actions) and reduced data marketplace costs by 50-90%. The new structure makes Clay meaningfully more accessible for mid-market teams.

Key features:

• Claygent: AI research agent that crawls and extracts custom data with natural-language prompts

• Waterfall enrichment across 100+ providers

• Native sequencer plus integrations with Outreach, Salesloft, HubSpot, Salesforce

• Dual-credit pricing model (Data Credits for data, Actions for platform usage)

Pricing: Free tier (100 Data Credits, 500 Actions/month). Launch $185/month (2,500 Data Credits, 15,000 Actions). Growth $495/month (6,000 Data Credits, 40,000 Actions). Enterprise custom (typically $30k-$154k/year).

G2: 4.9/5

Choose this if: You have RevOps capacity to build workflows, your ICP requires research depth standard databases miss, or you're consolidating Apollo + ZoomInfo + enrichment vendors into one stack.

Skip this if: You want a turnkey AI SDR with no workflow design (Artisan fits better), or your prospecting needs are met by Apollo's defaults.

6. Artisan (Best for: Autonomous AI SDR)

Artisan's AI BDR, Ava, runs the full outbound workflow autonomously: prospecting against a 300M+ contact database, multi-channel outreach (email and LinkedIn), follow-ups, and meeting booking. The "personalization waterfall" pulls context from dozens of data sources to write each message. Built-in deliverability infrastructure (warmup, health monitoring, dynamic send limits) is the differentiator vs. stitched-together outbound stacks.

Artisan's G2 standing is real (3.8/5 across ~120 reviews) and reflects the category's honest reality: autonomous SDR agents work, but not as cleanly as the marketing suggests. Independent buyer comparisons in 2026 found Artisan's data quality adequate for ICPs already covered by major databases and weaker for niche segments. Reply rates of 1-3% are typical for the category.

Key features:

• End-to-end autonomous outbound: research, write, send, follow up, book

• 300M+ verified contact database, 200+ countries

• Multi-channel sequences (email + LinkedIn) with personalization waterfall

• Built-in deliverability stack (warmup, health, dynamic send limits)

Pricing: Not publicly listed. Verified buyer reports show entry tiers from $250-$600/month, with most teams paying $2,400-$5,000/month based on lead volume. Annual contracts standard.

G2: 3.8/5

Choose this if: Your ICP is well-covered by major B2B databases, you want a single vendor for the full outbound stack, and you're optimizing for time-to-first-send.

Skip this if: Your ICP is niche, your reply quality bar is high, or you have an experienced RevOps function that could build a Clay + Smartlead stack at lower cost.

7. 11x.ai (Best for: Enterprise AI SDR + voice agent)

11x runs Alice (AI SDR) for outbound and Julian (AI phone agent) for inbound qualification. Alice handles the full outbound cycle across email, LinkedIn, SMS, and WhatsApp; Julian qualifies inbound leads via phone within 20 seconds of inquiry. Named enterprise customers include Xerox, Checkr, and Sage. Pricing is the highest in the category, reflecting enterprise positioning and multi-channel scope.

The voice agent is the meaningful differentiator. Most of the autonomous SDR category competes on email + LinkedIn personalization. 11x is one of the few platforms with production voice handling at enterprise scale.

Key features:

• Alice: end-to-end outbound across email, LinkedIn, SMS, WhatsApp

• Julian: AI phone agent for inbound qualification, sub-minute response times

• 100+ language support

• Adaptive personalization with self-improving copy

Pricing: Not publicly listed. Alice starts at ~$5,000/month for ~3,000 contacts, scaling to $10,000-$15,000+/month for multi-channel enterprise deployments. Julian adds $4,000-$6,000/month. Multi-year contracts standard.

G2: 3.8/5

Choose this if: You're enterprise, multi-channel matters, and inbound voice qualification is a real bottleneck. You have budget for $60k-$200k+ annual spend per agent.

Skip this if: You're SMB/mid-market and Artisan's $2,400-$5,000/month tier solves the same problem at a fraction of the spend.

8. Regie.ai (Best for: Outbound copilot agent)

Regie sits between full autonomy (Artisan, 11x) and email coaching (Lavender). The product is a copilot: it generates content and orchestrates sequences while expecting an SDR to drive. The Force Multiplier Rep tier acts more autonomously, and the platform integrates with existing sequencers (Outreach, Salesloft) rather than replacing them. Message quality is consistently rated higher than fully autonomous SDR agents, which is the trade for less throughput.

Key features:

• AI copilot for outbound, integrates with existing sequencer

• Force Multiplier Rep tier for higher autonomy

• Strong message quality vs. autonomous SDR agents

• Parallel Dialer add-on for outbound calling

Pricing: AI SEP $180/user/month (10-seat min). Force Multiplier Rep $499/user/month (5-seat min). Enterprise custom. Parallel Dialer add-on $249/user/month. Annual contracts.

G2: 4.5/5

Choose this if: You have human SDRs and want to give them an AI copilot rather than replacing them. Message quality is the priority over volume.

Skip this if: You want to remove SDR headcount entirely (Artisan or 11x is the right call), or you're under 5 seats.

9. Lavender (Best for: AI email coaching agent)

Lavender is the specialized email coaching layer for SDRs and AEs. It scores cold emails 0-100 in real time, suggests improvements before sending, and integrates directly into Gmail, Outlook, Salesloft, and Outreach. Lavender's model is trained on a large corpus of sales emails per the company's marketing materials.

Lavender's limitation is that it's a coaching layer, not a workflow engine. It doesn't handle research, sequencing, phone, or LinkedIn. That's the right scope for what it does, and it's why it sits cleanly alongside Outreach, Salesloft, or any sequencer in the stack.

Key features:

• Real-time email scoring (0-100) with improvement suggestions

• Personalization Assistant pulling lead data into the inbox

• Integrations with Gmail, Outlook, Salesloft, Outreach

• Team analytics and email performance tracking

Pricing: Free (5 coached emails/month). Starter $29/user/month. Pro $49/user/month. Teams $69/user/month. Enterprise custom. ~20% annual billing discount.

G2: 4.8/5

Choose this if: Your reps are sending email but reply rates are weak, or you want AI inside the inbox without replacing the SDR.

Skip this if: You need workflow automation beyond email coaching, or you're already using a copilot like Regie that includes message generation.

10. Outreach with Omni + Agent Studio (Best for: Agents inside the engagement layer)

Outreach launched Omni and Agent Studio in spring 2026, repositioning the platform from sales engagement to agentic revenue execution. Kaia, Outreach's conversation intelligence layer, now exposes APIs for external integration. The Meeting Prep Agent (beta as of February 2026) automates pre-call briefs, and Smart Kaia Coach auto-scores rep skills against playbook criteria.

Outreach claims up to 10x productivity from the AI Prospecting Agent in customer reports. Independent verification of that figure varies, and the platform's depth of workflow governance and conversation intelligence integration makes it the safe choice for enterprise sales orgs that need agents and audit trails in the same product.

Key features:

• Omni and Agent Studio: agentic revenue execution layer

• Kaia: real-time conversation intelligence with live coaching, action item capture, exposed APIs

• Meeting Prep Agent: automated pre-call briefs

• AI Topics Explorer for conversation trend analysis

• MCP server for external AI integration

Pricing: $130-$200/user/month with modular add-ons (Engage, Call, Meet, Deal, Forecast). Annual contracts standard.

G2: 4.4/5

Choose this if: You're enterprise, you need agents inside the engagement layer with workflow governance, and Microsoft Copilot integration matters.

Skip this if: You're SMB and the per-seat cost outpaces value, or your bottleneck is research/enrichment (Clay) rather than execution.

11. Salesloft with Rhythm + Sales Strategist Agent (Best for: Signal-driven prioritization agent)

Salesloft's Rhythm AI converts signals (email opens, website visits, deal activity, conversation cues) into a prioritized daily action queue per rep. The Sales Strategist Agent, GA in April 2026, builds account strategy from those signals. Salesloft also released its MCP Server in April 2026, letting Claude, ChatGPT, and Copilot read live pipeline and call data.

Salesloft's December 2025 merger with Clari created the "Predictive Revenue System," which combines Salesloft's engagement and conversation intelligence with Clari's forecasting. The combined platform is the strongest single-vendor revenue intelligence story in the market as of mid-2026.

Key features:

• Rhythm AI: signal-driven prioritization with daily action queue

• Sales Strategist Agent for account strategy

• AI Email Assistant for personalized drafting (May 2026)

• MCP Server for cross-model integration

• Combined platform with Clari forecasting (post-merger)

Pricing: $75-$180/user/month across Essentials, Advanced, and Premier tiers. Annual contracts standard.

G2: 4.5/5

Choose this if: You want signal-driven sequencing, you're rebuilding the revenue intelligence stack, or you're already a Clari customer and want platform consolidation.

Skip this if: You're committed to Outreach for the engagement layer, or you prefer a best-of-breed stack across separate vendors.

12. Qualified with Piper (Best for: AI inbound SDR for Salesforce-native sites)

Qualified's Piper is the AI inbound SDR for Salesforce-anchored go-to-market motions. Piper engages website visitors in real time across chat, voice, and video, qualifies them against ICP criteria using live Salesforce CRM data, books meetings, and routes the engaged buyer to the right rep. The product holds a 4.9/5 G2 rating across 1,400+ verified reviews, with 500+ enterprise customers per the company's reported figures, making it the highest-rated AI SDR on G2 in 2026.

Salesforce acquired Qualified in 2026, and Piper now sits inside the Agentforce strategy while maintaining multi-CRM support in functionality. The trade vs. autonomous outbound SDRs is scope: Piper is inbound-only, focused on the small percentage of website visitors who engage. For teams with strong inbound traffic, the conversion lift is real. For teams without it, the agent has nothing to act on.

Key features:

• Real-time website visitor engagement (chat, voice, video)

• Contextual qualification against ICP criteria using live CRM data

• Automatic meeting booking and rep routing

• Email follow-up for visitors who don't convert immediately

• Native Salesforce integration with multi-CRM support

Pricing: Premier tier $42k-$72k/year. Enterprise tier $60k-$100k+/year. Monthly equivalent $3,500-$10,000+. Enterprise deployments typically require an additional $30k-$60k in Salesforce infrastructure and onboarding investment.

G2: 4.9/5 (1,400+ reviews)

Choose this if: You have meaningful inbound website traffic, you're Salesforce-anchored, and your bottleneck is the gap between buyer interest and the next sales touchpoint.

Skip this if: Your motion is purely outbound (Artisan or 11x is the right call), or your inbound traffic volume doesn't justify $42k+ annual spend.

13. Gong (Best for: Call coaching and deal intelligence agent)

Gong is the conversation intelligence leader, with models trained on 3.5B+ sales interactions per the company's published figures. Gong's Mission Andromeda agent expansion in 2026 added autonomous agents for deal review, coaching, and forecast hygiene on top of the core conversation intelligence layer.

Gong is that 40% of Gong customers also use Clari, because Gong leads on conversation intelligence and coaching while Clari leads on forecasting. Gong's expansion into deal intelligence and forecasting is real, and the category is split.

Key features:

• Conversation intelligence trained on 3.5B+ interactions

• Mission Andromeda agents for deal review, coaching, forecast hygiene

• AI-driven call suggestions, concept tracking, playbook creation

• Sales coaching with Smart Coach

• New Gong Enable module for content + coaching

Pricing: $1,200-$1,600/user/year for Foundation tier; bundled (Foundation + Engage + Forecast) $2,880-$3,000/user/year. Mandatory platform fee $5,000-$50,000/year. Implementation $7,500-$65,000 one-time. 2-3 year contracts.

G2: 4.7/5

Choose this if: You need depth on conversation intelligence and coaching, you're investing in playbook development, and budget supports enterprise platform pricing.

Skip this if: You're under 25 reps (the platform fee makes the per-seat math punishing), or your primary need is forecasting (Clari + Salesloft is now the cleaner answer).

14. Sybill (Best for: AI sales coach + post-call deal intel)

Sybill is the AI sales coach and deal intelligence agent for teams that want Gong-style conversation intelligence without Gong's enterprise pricing. The platform records calls, generates deal summaries, auto-fills CRM fields, and surfaces deal-level insights across calls. G2 standing is 4.8/5 across 200+ reviews, ahead of Gong's 4.7/5 (across a much larger 8,700+ review base, so directional rather than definitive).

The pricing math is the differentiator. Sybill's Business tier at $79/user/month carries no platform fees, no minimum seats, and no mandatory annual lock-in, which makes it accessible to 10-200 rep teams that can't justify Gong's $85k-$130k+ Year 1 commit. Coverage depth on conversation intelligence is shallower than Gong, and that's the trade.

Key features:

• Call recording, transcription, and AI deal summaries

• CRM auto-fill across Salesforce, HubSpot

• Deal workspace with aggregated insights across calls

• AI-generated follow-up emails and coaching prompts

• Free tier with unlimited recording

Pricing: Free (unlimited recording). Starter $19-$29/user/month. Business $79/user/month (CRM autofill, deal intelligence, follow-up generation). Enterprise custom. No platform fees, monthly billing available.

G2: 4.8/5 (200+ reviews)

Choose this if: You're 10-200 reps, you want conversation intelligence and deal coaching without Gong's enterprise commit, or your priority is post-call CRM hygiene and follow-up generation.

Skip this if: You're enterprise with deep playbook development needs (Gong is the right call), or you need real-time live-call coaching during conversations.

15. Cresta (Best for: Agentic conversation intelligence for contact centers)

Cresta is the agentic conversation intelligence platform for enterprise contact centers, with named customers including United Airlines, CVS, Cox Communications, and NRG. The 2026 product line includes Knowledge Agent (real-time guidance with cited source delivery), AI Analyst (natural language conversation querying), and Virtual Agents for autonomous handling of routine calls. Cresta's positioning is the augmentation-and-automation layer for high-volume voice operations, distinct from the seller-focused conversation intelligence Gong handles.

Cresta is the only entry on this list scoped to contact center economics. For B2B sales orgs without a high-volume voice motion, Gong or Sybill is the right call. For teams with hundreds or thousands of agents handling voice, Cresta is the AI agent platform purpose-built for that scale.

Key features:

• Real-time agent assist with ambient listening

• Knowledge Agent: cited-source guidance during live calls

• AI Analyst: natural-language conversation querying across call corpus

• Virtual Agents for autonomous call handling

• Conversation intelligence across voice and chat

Pricing: Custom enterprise only. Annual contracts typically $60k-$500k+ depending on agent count and modules. Per-agent costs estimated at $50-$150+/month plus $25k-$100k+ implementation. 100-agent contact centers typically invest $60k-$180k+/year all-in.

G2: 4.5/5

Choose this if: You operate a contact center at 100+ agent scale, your voice motion is high-volume, and you need agent assist and autonomous call handling in one platform.

Skip this if: You're a B2B sales org without a contact center motion (Gong or Sybill is the right call), or you can't clear $60k+ annual commit.

Three head-to-head comparisons

The "vs." queries are where most of the buyer intent sits. Three head-to-heads worth running on this list.

Mutiny vs. legacy sales tools

The split is content generation and seller workflow automation vs. content management. Mutiny generates the customer-facing asset on demand (deal room, business case, pitch deck) per account, with a generation engine that pulls account context into every output. Mutiny also lets sellers build their own agents to automate the repetitive tasks around the asset (account research, follow-up generation, deal-stage updates). Legacy enablement platforms recommend which existing asset to use from a content library and track how it's consumed. Different jobs, often deployed together. If your bottleneck is "we don't have an asset for this account" or "my AEs are spending hours on prep work that should be automated," that's Mutiny. If your bottleneck is "we have 400 assets and reps can't find the right one," that's a content management problem.

Artisan vs. 11x.ai

Both are autonomous SDR agents. Artisan is bundled (data + sequencer + deliverability in one) and priced for SMB/mid-market entry ($2,400-$5,000/month). 11x is enterprise-priced ($5,000-$15,000+/month per agent) with multi-channel scope including voice (Julian). Buyer math: at 25 reps, 11x's annual contract typically clears $60k-$200k+; Artisan typically clears $30k-$60k. The voice agent is the main reason to pay 11x's premium. If voice doesn't matter, Artisan wins on cost.

Salesforce Agentforce vs. HubSpot Breeze

The CRM-native agent question. Agentforce is more powerful and configurable, with 18,500 customers and 3B+ workflows per Salesforce's reported figures. Breeze is faster to deploy, accessible at the free tier, and roughly half the per-conversation cost (~$1 vs. ~$2). Agentforce wins for enterprise complexity. Breeze wins for SMB and mid-market teams that want agents in days, not months. Pick by which CRM you're committed to.

What the data says about deploying an AI sales agent in 2026

Three findings from the 2026 primary-source research that should shape any deployment plan.

Time savings are real, reinvestment is the gap. Gartner's May 2026 survey of 210 chief sales officers found AI saves sellers nearly 5 hours per week, but 72% of sales orgs fail to redirect that time into high-value activity. Organizations that do reinvest are 2.2x more likely to exceed customer growth goals and 3.1x more likely to exceed lead-to-opportunity conversion goals. The agent is the easy part. The role redesign is the hard part.

Top performers concentrate AI investment. Salesforce's State of Sales 2026 found top-performing sales teams are 1.7x more likely to use AI agents than struggling teams. AI adoption is bifurcating by team performance, with the gap widening between teams using agents daily and teams still piloting them.

Buyers are using AI too. Forrester's 2026 buyer research shows 94% of B2B buyers use AI in their purchasing process, and conversational search now outpaces vendor websites and human reps as a buyer information source. The implication: the assets your AI agents generate (deal rooms, comparisons, business cases) are increasingly read by buyers through other AI tools. Optimize for extractability.