Building a Go to Market Intelligence System

The future of GTM is not better Tools (and its not better ai workflows either)

Ever heard the Henry Ford Quote "if I asked the average person what they wanted they would've said a faster horse?"

It is hyperbolic to compare b2b SaaS to the automobile revolution (yeah fr lmao), but the point is that it is extremely difficult to both envision the future and be present in the practicalities of today. It is two different states.

I've experienced this first hand. Let me preface by saying I don't write this to self-aggrandize, but just matter of fact I spend so much time building, tinkering and testing at the cutting edge of AI, MCP, GTM, etc.

I likely have a clearer vision of where this tech will go than 98% of people (and I am not alone in this to be clear there are some real shooters esp in this bubble) - and you know what good it does?

I struggle with being able to effectively translate, make tangible, commercialize and solve the problems of now with the vision of tomorrow. That is the double edged sword - it is not something that you can "fix."

But I do it because I love it. And the progress is in the process of iteration.

So here is my next iteration. Context: Everyone is copy pasting like crazy across every single tool imaginable. Even more now that we're all using LLMs. And when there is some automation, it is a deterministic (step 1,2, 3) automation - no intelligence. There's a better way to do this.

The future of GTM is in a living source of intelligence that permeates your entire tech stack. It will be less about one single tool and more so in that they are deeply integrated, drastically more than a basic API, and more than a single mcp.

It is not about the singular, it is about the emergent intelligence you get with everything working together.

The backbone of this will be a living GTM Intelligence Layer. A GTM Alpha database (ty to Jordan for this framing).

You've already got a CRM, you already have a SQL database for your product, so having an always updating, living GTM database that shows your TAM as it currently is today, not last quarters iteration, will drive the next era of GTM.

Here's the formula:

Your Taste + Unique Data + Talk to it via MCP + Agents = Your GTM Alpha Database


Taste: the last moat. Everything comes down to taste. And you need to encode your specific taste and POV into your system so it can surface what really matters to you and your customers. You need a specific POV for your system to surface truly unique signals, enrichment opportunities, etc.

Unique Data: Data is the medium you mold with your taste. Without high quality, high context data to shape there is nothing to do.

MCP + Agents: This is the technical break through that enable you to operationalize your taste. The part of the system that encodes and reflects that taste so that when all your tools talk to one another, they are tastefully constrained to solve for a specific outcome.

I've built systems like this and seen what they can do.

When you get an agent with an mcp connected to unique data, operationalizing your unique taste and letting it truly rip, it will recursively query that dataset 40+ to find the answer intelligently to perfect fit a prospect to relevant data, contextualized perfectly using your pov.

Your GTM Alpha Database lets you say only what you can say, at scale, continuously, and always evolving.

  / jacob-dietle