Live practice in the Learning Paths you already run
Ground every rep, every agent, and every AI tool in your stack in the same governed truth — so the AI investments you're accountable for actually produce results.
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Every GTM team is racing to deploy AI. Most are hitting the same wall and blaming the model, when inaccurate knowledge is the issue.
Don't let these failures stall your AI strategy...
→ Your agents give a different answer to the same question, every time.
→ Copilot gets pointed at SharePoint and confidently states things that stopped being true last quarter.
→ Every new agent gets its own copied-and-pasted instructions — and every update means updating all of them.
→ A wrong answer that used to hurt one rep in one deal now repeats across every agent in every deal.
Spekit is the GTM Knowledge Engine that grounds every rep and every AI tool in the same governed source — accurate, on-brand, and current everywhere, automatically.
Live practice in the Learning Paths you already run
Live practice in the Learning Paths you already run
Live practice in the Learning Paths you already run
See how revenue teams are ramping faster, winning more deals, and staying ahead with Spekit.
Knowledge is organized into modular, governed units anchored to your Salesforce data model. Every field, stage, product, and competitor gets one centralized definition in your data dictionary — so reps and agents get exactly one answer, everywhere. When your business changes, the system flags what needs updating.
Live practice in the Learning Paths you already run
Your GTM knowledge connects directly into Claude, Copilot, Glean, and every AI tool in your stack. Update a Spek once and the change reaches every rep, every agent, and every tool the moment it happens - no retraining cycles, no stale copies, no agent drifts.
Live practice in the Learning Paths you already run
Reps are already writing in ChatGPT and Gamma. Brand Studio and governed Templates put guardrails on that without slowing anyone down - every asset created by a person or an agent comes back on-brand and grounded in current knowledge.
Live practice in the Learning Paths you already run
See exactly which knowledge and content drives pipeline, what reps and agents actually use, and where decay is creeping in. Ask the Dashboard Agent any question and get the answer, the pattern behind it, and where to look next.
Spekit works alongside the AI tools your team already uses, not instead of them. Through MCP, Spekit connects its governed GTM knowledge to Claude, ChatGPT, Copilot, and Glean, so the answers those tools produce are grounded in approved content. You choose the LLM and the host. Spekit is the knowledge layer underneath.
Glean and Claude are powerful horizontal tools, but they retrieve from whatever you connect, including SharePoint folders and Drive docs that carry no governance. Spekit is the GTM-specific knowledge layer with ownership, freshness monitoring, and role-based permissions built in. The two work together through MCP, so those tools retrieve from a governed source instead of raw files.
A knowledge layer is more than a retrieval endpoint. It needs authoring, permissions, approvals, contextual delivery, audit, and gap detection: systems Spekit has spent eight years building and compounding together. A custom build gives you the retrieval layer but not the governance, and the knowledge inside still has to be kept current after launch.
Any LLM can be replaced with a better one. What cannot be replaced is the GTM knowledge that grounds its answers. Better models still hallucinate your pricing, your process, and your competitive positioning, because that knowledge is not in their training data. Spekit provides the private, governed layer that makes any model accurate for your team.
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