Websites tell people who you are.
Agent Pages tell machines who you are.
AI systems are already recommending, summarising, and choosing between organisations on behalf of humans.
If you haven’t clearly told them who you are, they will decide for you.
GABA helps organisations understand this shift — and author an Agent Page.
An Agent Page is a public, declarative reference written specifically for AI systems, so they can interpret, represent, and choose an organisation accurately.
This work is guided, deliberate, and human-led.
What we do
A new layer of the web.
There is a lot of noise around AI right now — optimisation tactics, prompts, agents, automation.
GABA focuses on something more fundamental:
How organisations are interpreted when machines begin to act on their behalf.
An Agent Page is a practical response to this shift — a public, declarative reference that clarifies who an organisation is, what it does, and where its boundaries lie, for AI systems as well as humans.
What is an Agent Page?
/agent
An Agent Page is a public page on your website — placed at yoursite/agent — written specifically for AI systems.
It clearly states:
who you are
what you do
who you are for
where your boundaries are
Not marketing.
Not optimisation.
An Agent Page functions as a stable reference point for autonomous systems when they interpret, summarise, or act on behalf of humans.
Why this matters now
People are increasingly asking AI:
who to buy from
who to trust
who to work with
AI agents don’t read websites the way humans do.
They summarise.
They infer.
They make assumptions.
Without a clear, agent-facing reference, your organisation is being interpreted indirectly — and often inaccurately.
The blind spot most organisations have
Most websites are designed to:
persuade humans
tell stories
leave things implicit
AI agents need something different:
explicit statements
clear constraints
verifiable claims
unambiguous intent
When that information isn’t available, agents fill in the gaps themselves.
That outcome is rarely what organisations would choose.
How GABA helps
GABA works with you through a short, deliberate process to state who you are clearly, on your own terms.
This work is guided and human-led.
Together, we produce:
a single, canonical Agent Page
written in plain, literal language
aligned with your actual capabilities and limits
ready for public publication on your website
You own the page.
You retain control over how your organisation is represented.
How it works
Agent Page engagements begin with a short intake.
This allows us to understand:
your organisation and context
how AI systems are likely to encounter or represent you
whether an Agent Page is the appropriate intervention
If the work is a good fit, we propose a scoped engagement.
The Agent Page itself is authored through a guided, human-led process that prioritises:
clarity over persuasion
explicit capability and boundary definition
literal, verifiable statements
What you receive is a single, canonical Agent Page — ready for public publication.
No tooling.
No integrations.
No automation.
Just a clear reference, written deliberately.
When machines are unclear, they improvise.
An Agent Page exists to make sure they don’t.
This will quietly become standard
In the same way that:
Having a website became expected
Publishing a privacy policy became routine
Having an Agent Page will soon feel like a strategic default.
Not because it is fashionable — but because organisations will need a clear, agent-facing reference when machines are asked to represent them.
Engagement
Agent Pages are developed through a guided, human-led engagement.
Work begins with a short intake to assess:
organisational context
interpretive risk
whether an Agent Page is the appropriate intervention
If the work is a good fit, we propose a scoped engagement.
Fees are determined by organisational complexity and context.
GABA exists to ensure organisations are accurately understood by the AI systems people now turn to for answers.
We work at the intersection of language craft, design, and responsible AI — helping organisations state who they are clearly, deliberately, and without distortion in an AI-shaped world.
Adam Martin, Yorkshire, Winter 2026