Agent Readiness

Recommended by assistants, bookable by agents

Your next customer may never open your website. Their assistant decides whether to recommend you, and their agent does the booking in its own browser. We make sure both can read your services, prices and availability, trust what they find, and finish the booking without getting stuck. It covers GEO and AI visibility, then goes a step further: agents can book you, not just name you.

Readiness review with a clear scorecard
Wrong facts in AI answers traced to their source and fixed
Services, prices and availability agents can read and check
Booking, checkout and payment an agent can complete
Real booking tasks run through the major AI assistants
Visits and bookings from AI assistants, tracked
01What's Changing

The way customers buy is changing

This year the big platforms moved from assistants that answer to agents that act. Here is what that means for your business.

your-business.ie/book
Customer's agent is filling this in
Book an appointment
PatientSarah Byrne
TreatmentCheck-up & clean
TimeThursday, 15:30
Pay €20 deposit
Illustrative example

Customers are starting to delegate

In September 2026 Meta launched Muse, a personal agent that opens its own browser, fills in forms, books and pays, and keeps working after the user closes the app. xAI's Grok Bot gives every agent its own cloud computer. OpenAI and Google are shipping the same idea. Most of these launch in the US first, so European businesses have a short head start to get ready.

Agents with their own browser and cloud computer
Bookings and payments made without a person on your site
Built into WhatsApp, phones and browsers, with glasses next
Businesses that are easy to act on get chosen first
Customer's agent
Comparing 2 practices

“Check-up and clean, Thursday afternoon, under €100.”

Practice ASkipped
PricesPrice list is a PDF
Availability“Call us to book”
Opening hoursGoogle and website disagree
BookingNo way to book online
Practice BBooked
PricesCheck-up & clean: €85
AvailabilityThu 15:30 free
Opening hoursSame everywhere
BookingBooked, deposit paid
Illustrative example

Agents pick the businesses they can understand

An agent works fast and has no patience for guesswork. It cannot read a menu saved as an image, guess at your prices or wait on hold to ask about a slot. When information is vague, scattered or out of date, it moves on to a competitor whose isn't. Being clear to software is now as important as being clear to people.

Services and prices stated plainly and consistently
Availability an agent can check without calling
A booking or purchase path an agent can finish
Reviews, policies and credentials that build confidence
Tuesday night · Team offline
18:30
  1. 19:12Customer's agentCompared three practices and chose this one: prices and slots were readable
  2. 20:40Customer's agentNew patient check-up booked, Thursday 10:30 · €20 deposit
  3. 22:05AI assistant“Do they take VHI?” answered from the practice's own page
  4. 23:58Customer's agentFriday appointment moved to Monday 9:00, within the policy
  5. 06:15Customer's agentHygiene clean booked for Saturday · €20 deposit
2 bookings · 1 reschedule · 1 question answered · €40 in depositsAll handled by customers' agents and assistants. The team starts at 8:30 with a fuller diary.
Illustrative example

Your side answers theirs

When a customer's agent checks a price at 11pm or tries to book a slot for Thursday, something on your side has to answer it. We connect your booking system and business information so agents can book directly, and where it helps, we build an agent that speaks for your business to other agents. Software talking to software, working to your rules.

Prices, slots and policies agents can check at any hour
Bookings and deposits confirmed without the back-and-forth
Your rules decide what an agent can book
Anything unusual goes to your team
02The Review

What a review finds and fixes

The same gaps come up in almost every business. Each one is small on its own, and each one is enough to send an agent to a competitor.

What we fix in a readiness review
What agents needWhat we usually findWhat we fix
Prices“From €60”, or a price list saved as a PDFA clear price for each service, in a format software can read
AvailabilityBooking by phone onlyLive slots an agent can check and book
DetailsParking, access and languages mentioned nowhere, or only in photosParking, accessibility, languages, insurers and allergens listed properly
PoliciesDeposits and cancellations buried in the small printDeposit, cancellation and refund rules stated plainly
IdentityDifferent hours and services on Google, your site and directoriesOne consistent name, address, hours and service list everywhere
Structured dataNothing an agent can reliably parseSchema.org markup, product feeds, and a booking and payment path an agent can finish
How we score readiness

Every review runs the same real tasks through the major AI assistants. The first three show whether you get recommended, the last whether an agent can actually book you. Each is scored pass, partial or fail, so you see exactly where things break and what to fix first.

Example practice · readiness score0 / 4
Find

“Find a dentist in Limerick open on Thursday.”

Does the assistant surface you, with the right location and hours?

Found, but with last year's opening hours
Understand

“How much is a check-up and clean?”

Does it quote your real services and prices, or guess?

Guessed €60 from an old PDF
Trust

“Are they good? Do they take my insurance?”

Can it back you up with reviews, credentials and clear policies?

Reviews found, insurers not listed
Book

“Book me in for 15:30.”

Can it finish the booking or purchase, or does it hit a dead end?

Dead end: “call to book”

No one can guarantee that an AI assistant will recommend a business. We make you easy to find, understand, trust and book, and we measure the results.

03How We Work

Working systems, not slide decks

SproutMedia (Sprout Media Limited) is a small team of engineers and product builders in Dublin, shipping software and automation since 2013. We build it, put it in front of real customers, and stay accountable for how it performs.

Step 01

Readiness Review

We test how AI assistants find, describe and book your business today, and map the work an agent could take off your team.

Step 02

Agent Blueprint

A plain-English plan: what to fix, what to build, what it costs and how we will measure it.

Step 03

Build & Test

We build, connect it to your systems and test it against real scenarios before a single customer sees it.

Step 04

Monitor & Improve

We review conversations, track the numbers and keep tuning. Monthly reporting, no long-term contract.

Builders, not trainers
We don't teach your team to write better prompts. We deliver agents that run, and we look after them.
Honest about the limits
If an agent isn't the right answer to a problem, we'll say so. Not everything needs AI.
Your sign-off first
Nothing changes on your website or systems without your approval, and every change can be rolled back.
Measured in bookings
We track the visits, enquiries and bookings that come from AI assistants, so you can see what the work is worth.
04Get In Touch

Is your business agent-ready?

Tell us a little about your business. We'll come back with an honest view of where agents can help, what to fix first, and where they won't make a difference.

Step 1 of 2

Start with your website

We use your details only to reply to your enquiry. Please don't include health or other sensitive information. See our .

Using an AI assistant? It can send this form for you: the fields are documented on our page for AI agents.

What happens next?

1
Quick review
We look at how agents see your business today.
2
30-minute call
We walk you through what we found.
3
Agent blueprint
A clear plan with costs and targets.
4
Build & launch
Tested before a single customer sees it.
Hours
Mon – Fri: 9am – 6pm
Address
26 Upper Pembroke Street, Dublin D02 X361
WhatsApp
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