Integrations
Works inside ChatGPT, VS Code, GitHub Copilot and Claude through Model Context Protocol (MCP). The MCP interface shows connectors such as Asana, Canva and Gmail.
Learn moreDemandbase
Goal-driven AI that turns B2B buying signals into pipeline actions
Intermediate API
What is Demandbase?
Demandbase is an analytics tool. Demandbase AI is a goal-driven pipeline engine for B2B go-to-market teams. It prioritizes accounts and buying groups, activates coordinated programs through agents and chat, and connects to AI tools like ChatGPT and Claude via MCP.
Demandbase AI is a pipeline engine for B2B go-to-market teams. It starts from a stated pipeline goal, then analyzes account signals and buying group activity to decide where sales and marketing should focus. From there it helps activate coordinated programs across channels, measures what the programs produce, and adjusts priorities as results come in. The company positions it against plain intent tools, which surface signals but leave the next step to people. The product is built for revenue teams: demand generation, account-based marketing, sales and operations groups that already have plenty of data and tools but struggle to agree on priorities. Three use cases are highlighted. The first is finding in-market buying groups earlier and launching cross-channel plays. The second is raising win rates on active deals by detecting buying group signals and triggering actions across sales and marketing. The third is spend optimization, which suppresses low-fit accounts and favors high-intent segments. In practice, a team defines the pipeline target and the system surfaces only the signals relevant to it, orchestrates GTM motions, and reports on pipeline, revenue and efficiency. If strategy changes, updating the goal shifts recommended actions. The vendor states it is not autonomous: people set direction and execute with guidance. Demandbase AI Chat lets teams ask questions in plain language, such as which accounts show rising buying intent. AI Agents handle execution, and a Model Context Protocol (MCP) connection exposes accounts, buying groups and signals inside ChatGPT, VS Code, GitHub Copilot and Claude. A separate B2B marketing agent called Mojo is built by the same company. Among alternatives, it sits between standalone intent data providers, predictive scoring tools and general marketing automation. Its pitch is a shared context layer that connects accounts, buying groups and signals, and the company says a fully unified data stack is not required to start. Buyers should expect a sales-led evaluation rather than self-serve signup, since the main calls to action are booking a meeting and viewing a product tour.
How do you use Demandbase?
1Review the product tour
Watch the AI Chat product tour to see how questions about accounts and buying intent are answered before committing to a demo.
2Define your pipeline goal
Set the pipeline target that should drive prioritization. Signals and recommended actions are filtered around that goal.3Ask questions with AI Chat
Use AI Chat to ask which accounts show increasing buying intent and decide where the team should focus.
4Explore AI Agents
Look at how agents activate coordinated programs and cross-channel plays against the prioritized accounts and buying groups.
5Connect through MCP
Use the MCP page to bring accounts, buying groups and signals into AI tools such as ChatGPT, VS Code, GitHub Copilot or Claude.
6Book a meeting
Request a meeting from the homepage to scope how Demandbase AI fits your pipeline goals and existing data.
Pros and cons
Pros
- Starts from an explicit pipeline goal, so recommended actions and priorities change when strategy changesAI
- Goes beyond intent signals by activating cross-channel programs, not just flagging accountsAI
- AI Chat answers account and buying intent questions in plain languageAI
- MCP support brings account and signal context into ChatGPT, VS Code, GitHub Copilot and ClaudeAI
- Does not require a fully unified data stack to get startedAI
Cons
- Pricing is not published; the main path is booking a meeting with salesAI
- Not autonomous, so teams still need people to set goals and execute programsAI
- Homepage performance claims are customer outcomes without methodology or baselinesAI
- Built for B2B revenue teams, so it offers little to consumers or small, non-GTM use casesAI
- No stated free tier or self-serve trial on the homepageAI
How much does Demandbase cost?
Features
Goal-based prioritization of accounts and buying groups, AI Chat for plain-language questions, AI Agents that activate cross-channel programs, continuous performance optimization, pipeline and revenue reporting, low-fit account suppression, and MCP access from AI tools.
Learn moreFrequently asked questions about Demandbase
Does Demandbase have an API?
Yes, Demandbase offers an API.How do you use Demandbase?
The walkthrough on this page covers 6 steps: 1. Review the product tour 2. Define your pipeline goal 3. Ask questions with AI Chat 4. Explore AI Agents 5. Connect through MCP 6. Book a meeting.What platforms does Demandbase support?
Demandbase is available on Web App.What does Demandbase integrate with?
Works inside ChatGPT, VS Code, GitHub Copilot and Claude through Model Context Protocol (MCP). The MCP interface shows connectors such as Asana, Canva and Gmail.What are the limitations of Demandbase?
Pricing is not published; the main path is booking a meeting with sales. Not autonomous, so teams still need people to set goals and execute programs. Homepage performance claims are customer outcomes without methodology or baselines.
