Growth Graph · a layer of Growth Engineering

Your AI tools start from zero about your business.

The Growth Graph fixes that: one living model of your company that every agent reads before it writes, decides or spends.

The daily symptom

Someone re-explains the company in every prompt: who you sell to, what you can prove, what you must never claim. Salesforce found 76% of workers say their favourite AI tools lack business context. The knowledge exists, in people's heads and in scattered documents, and none of it reaches the tool doing the work.

Why generic output is really a context problem

With nothing specific to work from, a model writes the average of everything it has read. Teams read that as a writing problem and buy another writing tool. The missing piece is not a better generator. It is your business, written down in a form a machine can use.

What it is

Your goal and the number you answer to. The questions your buyers actually ask. The claims you can prove, with the proof attached. Your competitors and what they already say. Every decision taken, and what happened afterwards. Each fact carries where it came from and when it was true.

How it is built

We build the first version with you from what exists already: your site, your decks, your campaigns, your conversations. Facts, inferences and unknowns are labelled as such, and the gaps we cannot resolve become questions for you rather than guesses.

It feeds the tools you already use

The graph is not another place to log in. It serves your existing assistants, so the AI your team already uses starts from your business instead of the average of everyone else's. Tool sprawl usually shrinks on its own once one shared memory exists.

What it changes

Ads, pages, posts and pitches all start from the same understanding of your business, so they stop contradicting each other. It also answers questions your team asks constantly: what did we decide about this, what rests on a belief that just weakened, where should the next hour go.

Everything we have written on this

Where this layer is put to work

  • Get recommended by AI: Holds the questions your buyers put to AI and the claims you can prove, with the proof attached.
  • Demand creation: Starts every piece from your data, your cases and your calls, not from the model's average of your category.
  • Outbound pipeline: Knows your buyers, your proof and which prospects share the gap you fix.
  • Social audience: Feeds every post from your own cases, data and positions.

Questions

Is this a knowledge base?

A knowledge base stores documents for people. This stores typed facts for machines, with the source attached and a history, so what was true in March is still readable in September.

How long does it take to build?

We build the first version with you from what already exists: your site, decks, past campaigns and the conversations your team has every day. We say what is fact, what is inferred and what is still unknown, rather than presenting a guess as a finding.

Who owns it?

You do. It lives in files you keep, and it is readable without us.

Is my data shared with other clients?

No. Each business is kept separate, and nothing is pooled without an explicit agreement.

Can our own AI tools use it?

Yes, that is the point. It serves the assistants your team already uses.

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