An agency sees what the client cannot.
AI readiness is one of the clearest places to prove it, because the picture AI builds of a client forms whether anyone is managing it or not.
That purpose holds across the whole client base. What changes is what the conversation is worth to the client, and to you, depending on where the relationship stands.
Pick the status that matches the relationship. Each section sets out what the conversation is worth to you, what it is worth to the client, and the message you can send today. All five route to the same AI readiness summary, which opens the full board briefing.
AI readiness, in one summary.
AI readiness is measured by what AI can find, interpret, and act on across the full footprint of information an organization has ever made available, not by the information it believes it is presenting today.
Most AI conversations look inward, at how an organization will use AI inside its own walls. This is the other direction. The outside-in view is the picture AI builds of an organization from what it can find online, and it forms whether anyone is managing it or not.
That makes it an agency conversation, not a client IT project. It is about how a client is found, understood, trusted, and recommended in the places buyers now look. The exposures share one root: AI is reading material the client does not own, does not manage, and often does not know is still visible.
Misrepresentation
Superseded guidance, withdrawn products, or out-of-date terms returned as current.
Missed visibility
Omitted from the answers and comparisons AI assembles, while competitors set the terms.
Lost trust
Conflicting information at the source decides what AI tells the client’s customers.
01Present clients.
Post-launch silence is where retained relationships start to drift. A current read of how AI represents the client gives you a reason to lead the conversation, before the retainer starts to feel like a legacy line.
A recurring reason to stay close and set the agenda. Selling to an existing client runs at 60 to 70% probability, against 5 to 20% for a prospect, and a 5% retention gain lifts profit 25 to 95%.
Marketing Metrics, Farris et al. · Reichheld, Bain/HBRTheir partner is protecting how AI finds, reads, and recommends them, and acting on exposure before it becomes a problem. Evidence the retained spend is working, without the client having to ask who owns it.
Hello [name],
AI now shapes how [Client] is found, read, and recommended, and it builds that picture from your whole footprint, not only the pages you publish today. We have started tracking how that picture forms for the organizations we work with, and we want to bring you an independent read of how AI currently represents [Client].
The board briefing below sets out what we look at and why it matters to the leaders you answer to. We will walk you through your own position once you have read it.
Read the AI readiness summary02Lapsed clients.
A general check-in is easy to ignore. An independent read of how AI now represents a former client is specific, current, and theirs, which makes it the fastest place to show value again.
A reason to make contact that is not a check-in, built on something only you can hand them. You already know their business, so the read lands faster than a stranger’s pitch.
A free, independent picture of a problem they likely do not know they have, from a partner who knows their estate. They see how AI represents them today, with no cost of onboarding someone new.
Hello [name],
It has been a while, and a lot has shifted in how organizations are found and judged online. AI now assembles a picture of [Client] from material across the web, much of it sitting outside the pages you manage, and that picture is what the market acts on.
We know [Client] well, so we ran our eye over how AI represents you now. The board briefing below explains the view we take, and we would value the chance to show you what it surfaces for [Client] specifically.
Read the AI readiness summary03Prospective clients.
Cold outreach with a credentials deck sounds identical to the next agency. A read of the prospect’s own AI position is something they have not seen, and it earns the conversation before a shortlist forms.
Evidence about the prospect’s own position, instead of the same AI conversation other agencies are having. 90% of buyers form a shortlist before any process begins, and that shortlist is built on what AI returns.
HBR, cited Craven/GYDA, 2026Independent insight into how AI represents them, before they commit to anyone. 86% of B2B buyers are more likely to invite an organization to tender when it brings relevant independent insight.
Edelman-LinkedIn, 3,500 decision-makers, 2025Hello [name],
Before any conversation about working together, here is an independent view of how AI currently represents [Client] to the people and systems deciding who gets found and recommended.
90% of buyers form a shortlist before they speak to anyone (HBR, 2026), and that shortlist is built on what AI returns, not on what a business says about itself. The board briefing below sets out how we read that position, and we can show you what it returns for [Client].
Read the AI readiness summary04In discussion.
Conversations stall when they stay general. A direct read of the client’s AI position replaces the abstraction with something specific, and gives the decision something concrete to rest on.
A concrete, evidenced reason to move a stalled conversation forward. The discussion shifts from how you would approach the work to what the work would surface, which is harder to defer.
A specific read of their own exposure and opportunity that de-risks the decision to proceed. They see what working with you would surface, made real rather than described.
Hello [name],
We have been talking in general terms about what we could do for [Client]. Here is the specific thing underneath it. AI now decides how [Client] is found, read, and recommended, and we assess that picture directly rather than describe it.
The board briefing below shows the view we work from. Rather than another conversation about approach, we want to put [Client]’s actual position in front of you, so the decision rests on evidence.
Read the AI readiness summary05Inquiry received.
An inquiry is a window that closes fast. A read on the enquirer’s AI position turns a routine follow-up into proof that the agency works differently, at the moment they are paying attention.
A substantive follow-up that separates you from a standard sales reply. It converts interest into a grounded conversation while the inquiry is still warm.
An immediate, tangible read in response to their interest, rather than being passed into a sales process. They get something useful in hand at the moment they reached out.
Hello [name],
Thank you for your inquiry about [topic]. Rather than send the usual follow-up, here is something we think is more useful. AI now shapes how [Client] is found, read, and recommended across the web, and we assess that picture for the organizations we work with.
The board briefing below explains what we look at and why it matters commercially. We want to bring you a read of how AI represents [Client] today, as a starting point for the conversation you opened.
Read the AI readiness summary