One context layer.Every agent.
Stop re-briefing AI. Brand Brain holds what makes a brand itself — products, audiences, competitors, keywords, locations and voice — so an agent can itself, what was tried and the next change in the brand's own words.
Everything that makes a brand itself.
Not a document you maintain. A layer that assembles from the accounts you already connected.
Products and services
What the brand sells, how it's described, and which pages carry it.
Audiences and locations
Who's being targeted, which markets, and which campaigns buy into them.
Competitors and keywords
Who holds the answer today, the terms they hold it with, and where the gap is.
Voice
How the brand sounds — so an agent drafting an ad doesn't write like a different company.
A living layer. Not a document.
Brand guidelines go stale the week after they're written. Brand Brain updates as campaigns run, pages change and new data lands — so what an agent knows this morning matches what is actually true this morning.
- Rebuilt nightly from live accounts, not from a file someone remembered to update
- New pages, new competitors and new citations appear on their own
- Every approved change sits beside it, dated, with the person who approved it
- “What have we already tried here?” — answered, with a date on it
Every agent reads it first.
Ads, SEO, GEO, reporting — the same layer answers all of them, so nobody pastes brand guidelines into a prompt again.
Paid media
An agent drafting an ad already knows the products, the offers and the voice. No brief to paste.
SEO and GEO
Content and schema work starts from the brand's own terms and its real competitors, not a generic list.
Reporting
A monthly report that knows what the brand sells and who it is up against reads like someone who works there wrote it.
Anything you ask
In Claude, ChatGPT or any MCP client — the context comes with the question.
Connect once. It fills itself in.
Three steps, then it maintains itself.
Connect
Google Ads, Meta, Analytics, Search Console and Merchant Centre, per client. Ten minutes.
It assembles
Products, pages, keywords, competitors and locations are pulled from the accounts and linked to each other.
It keeps up
Every night, from live data — and every approved change is recorded against it.
One layer per client. No bleed.
Switching between fifteen accounts is where AI gets brands wrong.
Fifteen clients, fifteen layers
The coffee roaster's voice never ends up in the law firm's ad. An agent working one client cannot see another's.
For agenciesYour clients see theirs
The same layer answers in their portal, read-only, under your brand.
For clientsYour team sees the history
A new hire can ask what has already been tried and get the answer, dated.
Team onboardingBrand Brain questions
Do I have to write any of this?
No. It assembles from the accounts you already connected — products and pages from the site, keywords and competitors from search, audiences and locations from the campaigns. You correct it where it's wrong; you don't build it.
How is this different from pasting brand guidelines into a prompt?
Guidelines are a document you have to remember to attach, and it goes stale. This is a layer every agent reads automatically, and it updates itself as campaigns run and pages change.
Does it mix up my clients?
No — that's the whole point. One layer per brand, isolated at the database layer. An agent working one client cannot see another's.
What if it gets something wrong?
Correct it, and the correction sticks. Nothing an agent proposes reaches a live account without your approval anyway.
Can I use it outside Offloda?
Yes. Point Claude, ChatGPT or any MCP client at it and the context comes with the question — you are not moving your work into someone else's chat window.
Stop re-briefing AI. Start asking.
One context layer per brand, updated nightly, read by every agent you point at it.