GTM Context Layer
Your story lives in a hundred heads and a thousand documents. It needs one home everyone can trust.
The GTM Context Layer turns your real sources (your site, your calls, your docs, your CRM) into one verified, contradiction-checked picture of your company, and serves it to every agent, tool, and teammate through one MCP endpoint.
Your go-to-market runs on agents now.
Marketing drafts campaigns with AI. Sales builds decks and emails with AI. Agents on your website, and inside your buyers' tools, answer questions about your company around the clock. Every one of those agents works from whatever context it happened to be handed: a folder, a crawl, a prompt somebody wrote in March.
That worked when a few humans wrote a few assets and review kept the story straight. It cannot work now. Your team generates more narrative in a week than anyone can review in a quarter, and every unreviewed asset is a chance for your story to drift.
You can't review every output anymore. You can only govern the input.
What a GTM Context Layer is
Definition
A GTM Context Layer is a single, verified source of truth about your company: what you do, what it costs, who it's for, why you win. It is continuously checked for contradictions, gaps, and staleness, and it is served to every AI agent and tool your team uses through one connection. Agents stop improvising your story. They cite it.
The layer is built from your real sources: your website, your recorded calls, your docs, your CRM, your reviews. It structures them into the five components of truth every conversation draws on: facts and capabilities, pain points, personas, use cases and outcomes, and positioning. And it is not a place your team has to visit. It lives behind one MCP endpoint, inside the tools and agents you already use.
Starter plan: $600/month. Monthly billing, cancel anytime. Verified
One unit of governed truth: status, provenance, and everything that depends on it.
What it does all day
Storage is easy. Trust is the product.
01Synthesis
Feed it everything
Connect your sources and the layer does the hard part: turning a messy 40-minute call, a marketing video, or a pricing page into structured, reviewable truth. Not indexed. Understood.
02The Trust Engine
Keep it true
Everything in the layer is continuously worked the way an editor would work it.
It catches contradictions.
Your sources disagree with each other more than you think. The layer reads across all of them and surfaces every conflict, the day it appears.
It updates one thing, not forty.
Truth is a graph, not a pile of documents. Change a source fact and every dependent asset is flagged and updated with it. Design partners called this the single most important capability.
It knows what it doesn't know.
The layer tracks completeness against what a company like yours should be able to answer, and tells you what's missing before a buyer finds out.
It improves from real signal.
Truth goes stale the day it's written, unless it learns. The layer updates itself from what actually happens: if CFOs keep replying to what you send instead of the CTO you assumed, your ICP updates.
Gaps and conflicts route to a human, and a human's ruling becomes the authoritative answer. No black box here either.
We don't want to update the information of one product and then need to update 40 other documents. People will forget, and suddenly your context is out of sync.
a GTM team that built this themselves
03Activation
Serve it everywhere
One MCP endpoint serves the layer to everything: the agents that create (your landing pages, emails, decks) build from verified truth, and the agents that answer (website chat, copilots) respond from it, with citations. Headless by design. Your team never has to visit another app; the truth comes to where they already work.
The difference it makes
- Five agents, five versions of your pricing.
- The deck contradicts the docs, and nobody notices until a buyer does.
- One positioning change leaves forty documents stale.
- "What's the latest messaging?" gets asked weekly and answered from memory.
- Answers with nothing behind them: no source, no status, no owner.
- One answer, cited, everywhere: every agent, every deck, every rep.
- Contradictions surface the day they're born, with a human making the ruling.
- Update once; every dependent asset follows.
- Anyone, and any agent, asks the layer and gets the current verified truth.
- Every answer carries provenance: source, status, freshness.
"Why not what we already have?"
Fair question. It's the first one everybody asks.
"Why not a folder of markdown and an MCP?"
It works, for about three weeks. Then a positioning line changes, the forty documents that depend on it don't, and the folder quietly stops being trusted. Teams that built this describe where it ends: "it very quickly becomes technical debt." The folder is storage. The trust machinery (verification, contradiction checking, propagation) is the part you can't hand-build and keep alive.
"Why not point our enterprise search at everything?"
Crawl-everything inherits every error in the sources it crawls, and serves it back with confidence. One team's tool insisted Spotify was a manufacturing company because their CRM said so. The layer is selective and opinionated: it curates what earns a place as truth, and when sources disagree it flags the conflict instead of averaging it.
"Isn't this just RAG / a knowledge base?"
Retrieval gives your agents whatever chunk is closest, including the stale and wrong ones. A knowledge base stores documents for humans to read. The Context Layer verifies truth for agents to cite: contradiction-checked, completeness-tracked, with provenance on every answer. Retrieval gives your agents something to find. This gives them something true to say.
"Why not wait until the agent stack settles?"
The agents aren't waiting. They're already drafting your campaigns and answering your buyers today, from ungoverned context, and every week of that compounds: more assets, more drift, more versions of your story in the wild. Governing the input gets harder the longer the outputs pile up.
This website runs on it
We built the Context Layer because we failed our own test. When we audited the agent on our own site, most of its answers had no verified source behind them, and it couldn't cite our own positioning. The company selling verified answers was serving unverified ones.
Today every surface here draws from the layer: the agent in the corner of this page, the answers AI assistants lift from our pages, the copy you're reading Verified. When something changes, it changes once.
Where this stands
The technology works today: connect an agent and it answers from your verified truth, and usually catches your own sources contradicting each other within the first hour. What we don't have yet are case studies with big numbers, and we won't invent them. When there are numbers worth citing, they'll be here.
We're building this with a small group of design partners: teams who own this problem and want to shape the product. The group is deliberately small, and it's expanding.
If you're the leader who delegated this: more headcount doesn't fix narrative fragmentation. One current, verified source that every agent draws from does. Send this page to the person you handed it to, or come talk to us yourself.
30 minutes. No deck, no pitch. Tell us how you handle truth today, and we'll show you the layer on real sources.