# About — GTM Anatomy > GTM Anatomy aligns go-to-market teams on their foundations, encodes them into an AI Operating System the team owns, and keeps that system learning. Source: https://gtmanatomy.ai/about.html --- _About_ # There are no shortcuts. The fundamentals that have always made a go-to-market (GTM) organization work are still required, at every size and every stage. We align your team on them, encode them into AI infrastructure you own, and keep that system learning. ## Purpose ### Why GTM Anatomy exists. GTM Anatomy exists to give go-to-market teams AI infrastructure that is tuned to their business, their brand, and their goals. There are no shortcuts. The information that has always been required for a successful go-to-market team is still required: messaging, ideal customer profile (ICP) and personas, differentiators, proof points, competitors, and buying signals. Two problems show up in nearly every company we talk to. Either it is not written down, or it is written down and the team has never agreed on it. Sales, marketing, and product each carry their own version, and the brand is not aligned. An unaligned brand loses the three things it cannot afford to lose: authority, credibility, and differentiation. Adopting AI on top of it is how companies end up with AI-slop, content that sounds like everyone else in the market. So that is what we build. We align your team on the fundamentals, encode them into your AI Operating System, and keep that system learning as the brand evolves. Quite frankly, you are buying something you do not have the time or the expertise to build. > Do the foundational work once. Use it every time, with confidence. ## How we work ### Four things we hold to. **The foundation comes first** We align the team on the foundations before AI touches anything. We will also decline a brief that asks us to automate what is already broken. **Your context, not everyone's** Differentiation comes from your context, not from the model. We build your AI Operating System out of your own material, never a template, so the work you do once is used every time, by everyone on the team. **A system that keeps learning** Working files go stale the day after they are written. Your AI Operating System updates the foundations with you, flags where the outside world has drifted from the brand, and tells you which owned and earned properties to fix first. **When and where AI makes sense** Not every task is an AI use case, costs are rising, and the environmental impact is real. We tell you where AI earns its keep, and part of what you get is someone who will say "this is not a use case for AI." ## Who this is for ### Lean teams expected to punch above their weight. We work with start-ups and scale-ups in B2B technology, roughly Series A through Series C, with a go-to-market team of 1 to 100 that exists but is under-built for its ambition. The company itself can be far larger: the go-to-market team is what we size to. The buyer is usually a VP of marketing, a chief revenue officer (CRO), or a founder still carrying go-to-market personally. We see a second group just as often: any go-to-market team stuck in ad-hoc AI, using it like a search engine, with foundations missing or unaligned. Stage matters less than that condition. They usually find us through the free skills library. ### Where we are not a fit - Pre-product or pre-revenue, with no go-to-market motion to build on. - Shopping for cheap outbound execution. - A brief of "just use AI," or "automate what we already do," from a team that will not do the foundational work. We would rather tell you that in the first call than in the third month. ## Who is behind it ### Founded by Rachel W Bruce. _Founder and principal_ GTM Anatomy was founded by Rachel W Bruce, who has spent more than fifteen years building and leading marketing organizations in cybersecurity, AI, robotics, FinTech, and technology distribution. She has led marketing as a vice president and head of marketing at Continuous, Plus One Robotics, and Moogsoft through its acquisition by Dell, run demand generation at Very Good Security, and led a fourteen-person global team at Trustwave against a budget over $3.5M, delivering $9M in sourced pipeline. She has reported to chief executives and chief revenue officers, sat on a board as a fractional chief marketing officer, and built the go-to-market function from nothing more than once. The AI side is not theoretical. At Continuous she built a proprietary AI go-to-market system: nine agents on a company knowledge base, packaged so the team could run it themselves, automating work equivalent to three marketers. The practice is that method, rebuilt for what AI can now do. Frameworks over tools, systems over one-offs, and marketing that ties back to revenue or does not get built. The brand speaks as "we" because the work is a system, not a personality. ## Not sure where to get started? Let's chat. Like all other technologies, AI needs to receive the proper implementation and enablement. Find out if you are on the right path or need some support.