6sense vs Salesforce Agentforce: pricing, features and which to choose

6sense was founded in San Francisco in 2013 and grew into one of the two largest account-based marketing (ABM) vendors, alongside Demandbase. It raised a $200 million Series E in 2022 at a $5.2 billion valuation. The product watches anonymous research activity across the web, matches it to companies, and tells sellers and marketers which accounts are likely in market and how far along they are. 6sense now calls itself an intelligence engine for agentic go-to-market, and most 2026 releases push its data into other tools, including Claude, ChatGPT and Salesforce Agentforce, instead of asking users to live in its dashboards.

The platform splits into Revenue Marketing and Sales Intelligence. On the marketing side, teams define keywords and personas, 6sense scores accounts into buying stages, and the system builds segments for display and LinkedIn ads, website personalization and email. An account that crosses a threshold becomes a 6QA, or 6sense Qualified Account, and is routed to sales. Sales Intelligence gives reps account pages, a Chrome extension that works inside LinkedIn, Sales Navigator, Salesforce, Salesloft and Outreach, alerts, buying-group discovery and contact data. Credits buy access to emails and phone numbers and power list building. AI Email Agents can write, send and reply to prospecting emails based on intent signals.

The common complaints are cost, a long setup before predictions become trustworthy, and intent signals that some buyers find noisy for niche categories. Contact data coverage outside North America draws criticism on review sites. Demandbase is the closest rival, with similar intent and advertising features and a median contract slightly higher, at about $68,600 according to Vendr. ZoomInfo leads on contact data and is often bought for that alone. Clay and Apollo cover account research and outreach at published prices from under $100 a month. 6sense fits B2B companies with enough deal volume and ad budget to act on account scoring; small teams should start with Apollo or Clay.

Salesforce Agentforce is an active AI agent platform for customer and employee work across sales, service, HR, marketing, commerce, websites, apps, phone, messaging, and CRM. Salesforce presents agents that answer questions, retrieve business knowledge, take actions, and transfer work to people when required. Its components include Agent Builder, job-specific subagents, prebuilt actions, Salesforce context, Agentforce Voice, observability, and multi-agent orchestration. The product is a practical choice for organizations already treating Salesforce as the main record for customers, permissions, workflows, and engagement. Before adoption, buyers should confirm which Salesforce edition they have, assign administration ownership, review data access, test production scenarios, and plan monitoring. Foundations is listed at $0, while other options use credits, conversations, licenses, or editions.

Teams create agents with Agent Builder, Agent Script, prompts, actions, instructions, and guardrails. Existing Flows, Apex, JavaScript, MuleSoft APIs, CRM data, and Data 360 context can support agent behavior. Documented tasks include answering questions, resolving cases, updating records, scheduling appointments, recommending products, qualifying leads, booking meetings, employee support, and event assistance. Agentforce Voice extends delivery across telephony, mobile, and web channels. MCP Client, MCP server support, and A2A patterns provide connections to external tools and agents. A sensible rollout starts with one bounded workflow, a defined permission set, approved actions, test conversations, and a human handoff. Data, workflows, and permissions split across Salesforce organizations or other systems require an orchestration design rather than assuming one agent can reach everything.

Agentforce fits organizations where Salesforce records, permissions, workflows, and channels anchor business operations. It offers CRM-native actions, connections through MCP and A2A patterns, testing, observability, audit trails, and usage controls, but it is not a self-hosted product or a standalone assistant with one predictable price. Constraints include Salesforce administration, data quality, separated-organization boundaries, external MCP contract changes, and privacy requirements for A2A connections. Administrators should begin with a limited workflow, document escalation rules, forecast consumption, and measure outcomes before expanding. Microsoft Dynamics 365 Sales agents suit Microsoft CRM deployments, ServiceNow AI Agents suit IT and service operations, HubSpot Breeze Agents suit HubSpot teams, Intercom Fin centers on support, and Google Vertex AI Agent Builder fits Google Cloud services. Choose Agentforce when Salesforce is central; otherwise compare those alternatives first.