Product and proof

How it works, what it replaces,
and who runs on it.

MCP spelled out, the application layer, the build-or-buy list, the four alternatives, and the customers — with the case study, the video and the Google feature.

How it works

The AI tool asks.
Something has to answer.

MCP — the Model Context Protocol — is the open standard that lets an AI tool call an outside application with the right context, data and permissions. Anthropic published it; OpenAI, Google, Cursor and the rest adopted it. When a seller types "publish this on our domain" in Claude, MCP is how Claude reaches something that can.

If you think MCP is hype, fine. The protocol is not the business; it is the doorway. Something still has to stand behind the door and do what an AI tool can't: put the page on the company's domain, apply the brand, wire the form, count the visitors, keep every version, let a seller edit one word without regenerating, run inside the company's own cloud, and remember what everyone built and what happened next. AtlasGTM is that application.

Where the seller already worksAny AI tool that speaks MCP
+ Gemini, and any MCP-compatible agent
The applicationAtlasGTM
Provisioned in seconds On your domain Brand applied Analytics built in Custom data capture Version history on every asset Editable, every element An agent on the page Runs in your cloud
What comes outA live, intelligent page that reports back
Opened Read pricing · 2 min Forwarded · new viewer Lead captured Which version won
Every company faces the same choice on this layerBuild it —
  • Hosting on your domain
  • Brand governance
  • Structured GTM data
  • Analytics per page, per viewer
  • Data capture and forms
  • Version history
  • In-place editor
  • An agent on the page
  • A record of every prompt and outcome
  • In-tenant deployment
or buy the one that's running.Ten of ten, in production.

Companies are starting to govern AI use through MCP: which tools may call which applications, with which data. When that decision lands, the layer that publishes what sellers make is on the list. Ours has been running since July 2026, listed on Google Cloud and AWS Marketplaces, and connects to any MCP tool in a minute.

See the connector →
The alternatives

Four ways to get pages out of an AI tool.
One reports back.

Capability Static docs & decksWhere most of the market still is Developer hostingVercel, Netlify and the like Build it yourselfAn internal project AtlasGTMThe MCP application
Created from the seller's AI toolGenerated, then exported and attachedRepo, build and deploy pipelineWrite and maintain your own MCP serverOne sentence, over MCP
Analytics and data captureIt goes darkBolt-ons, priced separatelyInstrument every page; forms, storage, consent, routingBuilt in — per page, per viewer, wired on creation
Version history and editingproposal_v4_FINAL.pdf; regenerate and resendGit for engineers; change the code, redeployAn editor is a product of its ownEvery asset, every version, every element in place
Reports back to the seller and the orgNeverNot its jobNobody owns this; it never shipsEvery send, every viewer, which version won
Built and priced forOffice software, by the seatEngineering teams, by the seat and the buildFunded until it isn'tSellers, from the tool they already use

On a phone, two of the four columns are shown: build it yourself, and AtlasGTM.

What could kill it, and why it hasn't

The labs add native publishing.They generate; they don't run a customer's domain, brand rules, forms, versions or cloud tenant — and every better model makes the layer under it worth more.
Hosting platforms bolt on analytics.They aren't inside the seller's AI tool, and sellers don't leave the tool to go to them.
A small team.That is what the round fixes. The first in-house hires are in the use of funds on the money page; a provisional patent (USPTO 63/941,661) covers the automation underneath.
Proof · He asked Claude for a page.
"It was more than just a page. I really created an application that adds value to our customers and partners through that self-service piece."
Tad Chance, SVP Sales & Partnerships, RiverMeadow — adoption came through sales, not marketing.
Read how RiverMeadow turned an uploaded IT spec into a personalized quote page — no engineer, no deployment →
Watch the two-minute overview
RiverMeadowCloud migration
SaviyntIdentity security
DDNAI data infrastructure

Three industries, three established names, the same seller problem. Smaller companies have access; these three run on it.

Featured by Google. Listed by both clouds. On stage October 20.

  • Featured in Google's Gemini agent workshopBuilt on Google — Gemini agents and Workspace at the core
  • Listed on Google Cloud Marketplace, Google's Agent Marketplace and AWS MarketplaceEnterprises buy against committed cloud spend and partner funds
  • MCP connector live — Claude Desktop, Claude Code, Cursor, Codex, Google AntigravityAnthropic native connector and Google MCP connector in progress
  • Sponsoring and on stage at the Marketplace Exchange, Seattle, Oct 20The Google Cloud Marketplace and Gemini Enterprise event — register →
  • Jay McBain, board advisorThe channels and partnerships analyst
Google Cloud's co-branded feature of AtlasGTM Agent, produced with Google's partner marketing team.
Book 30 minutes with Justin The numbers behind all of this are on the money page →