Build it. Own it.

Run the AI-search agent in-house, with the system built around your category.

We take the same always-on Schmitdy agent that powers Managed AI Search, build your own instance of it, and hand it over. It reads the engines every day, finds where buyers ask AI about your category, drafts and ships the pages and answers that win those mentions, and routes leads back to your CRM, all inside your Slack, Teams, or WhatsApp. Configured to your category, prompts, voice, sources, workflows, and approval boundaries. Run it on your own brand, or deploy it to your clients as an always-on, 24/7 service under yours.

From£3,000 · one-off build, no retainer required

2 weeks build, then 2 weeks fine-tuning with Marco · You keep everything

A ship-in-a-bottle handed over with a runbook and tools

The shift

AI search stopped being a project. It became an operating capability.

Ranking on Google was a thing you could buy in a campaign and then leave running. Getting cited by ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews is not. The answer set moves every week. This is a system you run, not a deliverable you receive once and shelve. That leaves you a real choice: rent the capability on a monthly retainer and stay dependent on the agency forever, or own the system and run it yourself. The hard part is the operating system, not the effort. We have already built it. This page is the version you own.

A maintained capability

AI answer sets refresh continuously, so AI-search visibility is a capability you run, not a fixed asset.

A retainer never transfers the muscle

The day you stop paying, the capability leaves with the agency.

We hand you the system

Configured, documented, so your team runs it from day one. No months of cold trial and error.

What you're actually running

An always-on agent, not a dashboard you check.

This is the Managed AI Search operator, packaged as a system you own. Once it's tuned, it runs the channel the way our team would, around the clock, and only stops at the approval boundaries you set.

Reads the engines daily

Pulls a fresh read across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, and flags what moved for your category.

Drafts and ships the work

Turns each gap into a citation-ready page, rewrite, or community answer, queued behind the approvals you decide to keep.

Works the off-site sources

Manages the UGC and editorial queues so the sources engines trust start pointing at you, not just your competitors.

Routes leads to your CRM

Wires AI-referred sessions and assisted pipeline back into your CRM, so the work connects to revenue, not vanity rankings.

Two ways to run it

On your own brand, or under yours for clients.

In-house

  • Own the AI-search capability internally instead of renting it on a retainer
  • Your team runs the agent from day one, with the runbook and approval rules we hand over
  • The capability compounds inside your company; it doesn't leave when a contract ends

Deploy to your clients

  • Offer always-on, 24/7 AI-search growth to your clients as a service under your own brand
  • Configure a separate instance per client, each tuned to their category and approval rules
  • Productise a new service line without rebuilding the operating system from scratch

How it works

Built around your category in two weeks, tuned to your judgment in two more.

A four-week voyage: build, fine-tune, then handover
W1-2

Build

We configure a Schmitdy instance to your business, not a generic template. Your category and the prompts your buyers ask. Your voice and sources. The coverage map, rewrite workflow, UGC and editorial queues, and the lead loop wired to your CRM. By the end of week two it's standing up and producing work.

W3-4

Fine-tune with Marco

You run real work through it. Marco watches the calls it makes, sees where it drifts from your taste or risk tolerance, and tunes it: the prompts it prioritises, the sources it trusts, the rewrites it proposes, the approval boundaries. By the end of week four it makes the calls your team would.

Then

Handover

You get the documented system and the keys. Docs, agent memory, approval rules, QA checklists, and a 30-day runbook, so the first month after handover is a checklist, not a guess. No black box. No standing invoice.

The connected system you take ownership of

  • Prompt visibility, how your brand shows up across the AI engines, every day
  • A cited-source coverage map, so you know where answers come from and where your gaps are
  • An owned-content rewrite workflow, so pages get engineered to be cited, not just published
  • UGC and editorial queues, so off-site coverage gets worked deliberately
  • A lead loop with CRM attribution, so the work connects to pipeline
  • Approval boundaries and agent memory, so the system acts with your judgment and stops at your limits

What's included

The full system, configured to you, then handed over.

The operating system

  • Prompt visibility system: how your brand appears across the five engines, tracked daily
  • Cited-source coverage map: the sources AI pulls from, where competitors are cited and you're not, and what to close first
  • Owned-content rewrite workflow: the repeatable method for turning pages into answers AI will cite, run as a queue
  • UGC and editorial queues: structured pipelines for community, review, and editorial coverage off your own domain
  • Lead loop with CRM attribution: AI-referred sessions and assisted pipeline wired back to your CRM

The handover that makes you self-sufficient

  • Documentation: how every part works, written for your team, not for us
  • Agent memory: the context, prompts, and decisions the instance has learned, transferred to you
  • Approval rules: the boundaries that decide what ships on its own and what waits for a human
  • QA checklists: the same checks we run before anything goes live, so your quality bar doesn't drop
  • 30-day runbook: a week-by-week plan for the first month running it yourself

What changes

Measured

Tracked from inside the system you own.

  • AI-search visibility: how often your brand appears in answers across the engines, over time
  • Share of voice against the competitors who show up next to you
  • Answer position and cited sources: whether your pages are the ones being quoted
  • Source-gap closure over time, and AI-referred sessions and assisted pipeline in your CRM

Projected

The case for owning it.

  • A capability that compounds inside your team instead of resetting every time a retainer ends
  • No standing monthly fee once the build is handed over
  • For agencies: a system you can run for your own clients under your own brand

We keep these separate on purpose. Measured movement is what the system reports. Projected upside is the reason to own it rather than rent it.

Who it's for

Built for teams that want the muscle in-house.

This is for you if

  • You're an agency that wants to productise AI search for clients under your own brand, without rebuilding the operating system from scratch
  • You're an in-house team that wants AI-search capability owned internally, not parked on a black-box retainer
  • You have someone who will own this after handover and run it as a real function
  • You want to see and control the prompts, the sources, and the approval rules, not just receive a monthly report

This is not for you if

  • You want someone else to run AI search for you every month. That is the Managed AI Search retainer, not this
  • You have no one internally to own the system after handover
  • You want a quick lift with no intention of maintaining the capability

FAQ

On ownership, scope, and what happens after.

What is the difference between this and the monthly Managed service?+
Managed AI Search is Schmitdy running as your operator on a retainer: we do the work every month. Build it. Own it. is the opposite trade. We build the system around your category, fine-tune it to your judgment, and hand it over. You run it. Some teams start managed and bring it in-house later.
What does the £3,000 actually cover?+
The one-off build: a Schmitdy instance configured to your category, prompts, voice, sources, and workflows, plus two weeks of fine-tuning with Marco and the full handover (docs, agent memory, approval rules, QA checklists, 30-day runbook). It scales from £3,000 depending on the size of your category and the number of workflows you want configured.
Why two weeks of fine-tuning instead of just shipping the build?+
Because a system that has not been corrected against your judgment will make calls you would not make. The fine-tuning weeks are where you run real work through it and Marco tunes the prompts, sources, rewrites, and approval boundaries until the output matches your taste and your risk tolerance.
What happens after the four weeks? Are we on our own?+
You own a documented system with a 30-day runbook for the first month. Most teams need nothing after that. If you want ongoing support, training top-ups, or a periodic tune, that is available separately, but it is a choice, not a dependency.
Can an agency run this for multiple clients?+
Yes. You own the operating system and can configure it per client under your own brand. We scope the agency version on the call, because the workflows and approval rules differ when you are running it for clients rather than for one in-house brand.

Closing

Own the system. Stop renting the capability.

Four weeks from now you can have an AI-search operating system built around your category, tuned to your judgment, and running inside your own team. No black box, no standing invoice.