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Pricing
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
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Core features
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- ✦AI-powered enablement
- ✦Sales content management
- ✦Learning & coaching
- ✦Buyer engagement
- ✦Content automation
- ✦Enablement intelligence
- ✦Digital Sales Rooms
- ✦LiveDocs
- ✦LiveSocial
- ✦Seismic for Meetings
- ✦AI-powered sales workflows
- ✦Sales engagement
- ✦Deal management
- ✦Conversation intelligence
- ✦Rep coaching
- ✦Sales forecasting
- ✦AI-driven sales and marketing tools
- ✦All-in-one platform for demand generation, deal closing, and client relationship management
- ✦Client-facing portal
- ✦Marketplace with hundreds of products and services
- ✦Automated proof-of-performance reporting
- ✦Project management tools
- ✦Integrated billing and invoicing
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
Use cases
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- →Readying sales reps with training, coaching, and content to close deals.
- →Growing revenue and exceeding quota by automating tedious tasks.
- →Crafting more effective content with AI suggestions and analytics.
- →Building a team of confident customer service agents through smarter training and content delivery.
- →Prospect and manage accounts effectively
- →Manage and guide deals to closure
- →Retain and expand customer relationships
- →Coach and improve sales team performance
- →Forecast and plan revenue accurately
- →Web agencies can resell AI-powered solutions and boost web traffic.
- →SEO agencies can establish themselves as the primary SEO provider for their clients.
- →Advertising agencies can improve ad performance and revenue.
- →MSPs and VARs can expand into digital marketing services.
- →Franchises can optimize local marketing efforts.
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
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