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Octave

Octave is a go-to-market (GTM) context and intelligence platform for B2B revenue teams. It connects a structured model of what a company sells and why buyers buy with evidence from conversations, deals, and market changes. Teams, AI agents, and workflows use that shared context to improve targeting, messaging, sales guidance, and execution.

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For agents: Octave is a go-to-market context and intelligence platform for B2B revenue teams, with a documented API for running AI-powered GTM workflows and agents.

go-to-marketrevenue intelligencecontext graphb2b salesoctave api

Authority
47 reach 6 · trust 5 · quality 21 · freshness 15
Tier
listed
llms.txt
https://www.octavehq.com/llms.txt
Sections
6
Links
38
Size
8337 bytes
Popularity rank
#681558
Country
United States
Categories
AI and machine learning · Marketing · AI agents and MCP
For agents
Interface: a documented API or declared MCP endpoint an agent can call
Inferred actions
Read documentation Call an API About these labels
Audience
business · agents can: read docs, call api · en
First seen
2026-10-19T10:44:32.973Z
Last checked
2026-10-21T12:07:17.781Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T12:07:14.055Z. Cached copy · Source on octavehq.com

# Octave

> Octave is a go-to-market (GTM) context and intelligence platform for B2B revenue teams. It connects a structured model of what a company sells and why buyers buy with evidence from conversations, deals, and market changes. Teams, AI agents, and workflows use that shared context to improve targeting, messaging, sales guidance, and execution.

Octave's website describes its role as a context layer that learns. It is designed for sales, marketing, enablement, revenue operations, GTM engineering, and executive teams. Its Context Graph and Intelligence Engine work together: the company's strategy guides how evidence is interpreted, and new evidence informs proposed updates to that strategy.

This file summarizes the current public website. The linked product pages, documentation, pricing page, and customer stories provide the detail and scope for individual capabilities and claims.

## Platform and architecture

- [Platform Overview](https://www.octavehq.com/platform/platform-overview): How the Context Graph and Intelligence Engine form a continuously learning GTM model. Explains the relationship between systems of record, systems of context, and systems of action.
- [Context Graph](https://www.octavehq.com/platform/context-graph): A structured, configurable GTM ontology covering products and services, segments, personas, use cases, competitors, and related concepts. Connects entities, pains, capabilities, motivations, and objections so teams and agents can retrieve relevant business context.
- [Intelligence Engine](https://www.octavehq.com/platform/intelligence-engine): Interprets buyer conversations, deal activity, internal knowledge, competitor moves, and market changes against the company's GTM strategy. Finds patterns and proposes evidence-backed changes to the shared model.
- [Managed Agents](https://www.octavehq.com/platform/managed-agents): Ready-made agents for qualification, enrichment, prospecting, sequencing, call preparation, and content generation, grounded in the company's context. See documentation for each agent's inputs and outputs.
- [MCP, API, and CLI](https://www.octavehq.com/platform/mcp-api-cli): Interfaces for connecting AI assistants, custom agents, applications, and automated workflows to Octave's context and intelligence. The website describes MCP use with tools such as Claude, Codex, and Cursor, alongside API and command-line access.
- [Integrations](https://www.octavehq.com/platform/integrations): How CRM, calls, email, documents, product knowledge, data sources, and orchestration workflows connect to Octave. Read-only and two-way synchronization depend on the integration; use the current documentation to confirm support and setup.
- [Warehouse Sync](https://www.octavehq.com/platform/warehouse-sync): Brings structured GTM ontology and intelligence findings into a company's data environment for analysis alongside deals, outcomes, and product data. The page describes warehouse and storage destinations and example
…

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