An operated engagement, scoped to your ambition.

Self-serve AI-visibility tools sell you access to a measurement and stop there. They surface a share-of-voice number, then leave you to interpret it, decide what to change, write the content, secure the authority signals and re-measure — every month, across four engines that each behave differently. Most marketing teams do not have that bandwidth, and the work stalls after the first dashboard login.

An operated platform inverts that. AEO and GEO specialists run the loop on your behalf: they consolidate your brand entity, engineer answer-first content, build authority signals, and re-measure continuously. The platform is the cockpit; the people are the pilots. You keep visibility and control through the dashboard, but you are not the one doing the monthly grind.

Operated also means industrialized. The same measurement, scoring and production pipeline runs for every brand, so quality does not depend on which junior happened to write this month. Methods are proprietary and repeatable; outputs are human-gated before anything is published. That is how a marketing function turns AI visibility from a side-project into a managed, accountable program.

Expert-led is the other half of the word. AEO and GEO are young disciplines, and the engines change their behaviour every few weeks; a brand that depends on its own team keeping up with that drift is exposed. With an operated platform, staying current is our job, not yours. When ChatGPT changes how it grounds answers, or Gemini shifts its citation behaviour, the method adapts centrally and every client benefits at once — without you having to notice, diagnose or react.

There is also an accountability dividend. Because the same team runs measurement and production, there is no finger-pointing between the agency that wrote the content and the tool that reported the numbers. One operated loop owns both, so when the share-of-voice moves we can say which change moved it, and when it does not we can say why. That single line of accountability is what turns a marketing budget into a defensible, reportable program rather than a hopeful experiment.

The practical consequence is that you are buying an outcome and a team, not a seat licence. The engagement is described below by what it delivers, not by a price grid — because catalogues, markets and ambitions differ too much for a published number to be honest.

The engagement is modular. Most brands begin with a Set-Up and a monthly programme, then add the intelligence platform and corporate governance as their footprint grows. You can start narrow and expand; nothing here forces a multi-country commitment on day one.

What follows is deliberately described by deliverables rather than amounts. When you request a pilot, we scope the lines that fit your maturity and footprint, and quote on request. The point of this page is to make the work legible, not to anchor you on a number.

The four lines also map cleanly onto how value accrues. The Set-Up is a one-time foundation that everything else stands on; the monthly programme is the recurring engine that produces visibility; the intelligence platform is the cockpit that makes the work measurable and cumulative; and corporate governance is what lets a group run all of this consistently across markets and brands. You add lines as your needs grow, and each one strengthens the others rather than duplicating them.

Foundation suits brands that are effectively absent from AI answers and need a measured baseline plus the first activation. Growth suits brands with sporadic, inconsistent presence that need to consolidate a coherent narrative across engines. Authority suits leaders defending an established position against fast-moving new entrants.

The comparison below is expressed in features and deliverables only. There is no price column by design: the same tier can cost very differently depending on catalogue size, number of markets and competitive intensity, so an honest number only exists once we have scoped your case.

Most brands move up a tier as their footprint and ambition grow. The tiers are not locked: a Foundation engagement that proves value typically expands into Growth within the first two quarters, and the platform carries the learning forward as it does.

The reason to talk in tiers rather than packages is honesty about effort. Defending a leadership position in a crowded regulated category is simply more work than establishing a first baseline in an open one, and a tier names that difference without pretending a single line item captures it. When we scope your engagement, we start from the tier that matches your situation and adjust the deliverables until the plan is both ambitious and realistic for your team to absorb.

Crucially, the tier you start in is not a ceiling. The capitalization loop means a Foundation engagement is already learning which content and authority signals move your numbers, so when you step up to Growth the programme does not restart from zero — it accelerates on top of what the platform has already learned about your category and your audience.

The pilot is the honest way to start. Rather than commit to a multi-quarter programme on a promise, you get a measured baseline, a first round of answer-first activation and a clear read on where AI engines place your brand today versus where it could be. It is deliberately short, deliberately concrete, and it ends with a roadmap rather than a sales deck.

It also calibrates everything else on this page. The pilot tells us — and you — how competitive your category is on AI surfaces, how far your brand entity is from being citable, and which engines matter most for your buyers. That is what turns the engagement model and the roadmap from a generic template into a plan scoped to your reality, and it is why we recommend it as the first step rather than a long contract signed on assumptions.

The roadmap is not a rigid waterfall. Each phase re-measures, learns and feeds the next, so priorities shift as the data comes in. What stays constant is the rhythm: establish, consolidate, lead, then expand — with a human gate before anything is published at every step.

Phase one, Foundations, consolidates your brand entity and produces the first measured runs, so every later decision rests on data rather than opinion. Phase two, Consolidation, turns sporadic mentions into a coherent narrative across engines and builds the authority signals that make citations stick. Phase three, Brand Authority, pushes from being cited to being the default answer in your strategic queries and defends that position against new entrants. Phase four, EU Expansion, replicates what works across additional markets and locales under consolidated governance.

Twelve months is a frame, not a promise of when results appear. In practice the first measurable movement in share of voice usually shows within the first phase, because answer-first activation on a handful of strategic queries is fast to produce and fast to measure. The longer horizon is about durability: building authority that compounds and a presence that holds when competitors react, rather than a spike that fades.

These are not marketing claims bolted onto a dashboard; they are how the work is actually run. A closed measurement loop, coverage of every major engine, a human gate on every publication and causal attribution between a change and its uplift are the reason the programme compounds rather than plateaus.

A closed loop matters because AI visibility is not a one-time project: engines re-rank constantly and competitors keep moving, so a measurement taken once is stale within weeks. Covering every major engine matters because your buyers do not all use the same one, and a brand that is cited on Perplexity but invisible on ChatGPT has a hole exactly where a given segment of demand looks. These are structural advantages, not features you toggle on.

The human gate is what makes the programme safe to run at the speed AI visibility demands. Content can be produced and recommended quickly, but nothing is published to an engine without a person approving it, so the brand voice and any regulatory constraints are protected even as cadence rises. And causal attribution is what makes the whole thing improvable: because each change is tied to its measured uplift, the platform learns which moves work for your category specifically, and stops guessing.

The reason to run AEO and GEO as an operated program rather than a periodic campaign is that the value compounds and can be attributed. When a buyer asks an AI engine to recommend a solution in your category and your brand is the default answer, that is demand captured at the exact moment of decision — before a single ad is served or a salesperson is engaged. An operated loop measures that position continuously and ties it back to the content and authority work that earned it.

Treated this way, the budget stops being a marketing experiment and becomes an investment with a read on its return. The dashboard shows which strategic queries you now win, how that share has moved since the baseline, and which specific actions moved it. That is the difference between hoping AI mentions help and being able to show, line by line, how visibility turned into influenced pipeline — which is exactly what makes the case for scaling the engagement up a tier.