Generative AI Consulting Services

Stop guessing where Gen AI fits in your business.

The problem is rarely access to a model — it is missing brand context. Without it, output sounds generic, reads like everyone else's, and never connects back to enquiries, bookings, or organic revenue. The better route is AI orchestration tied to organic revenue.

Built on the most trusted AI & growth stack
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Who it's for

Is this for a business like yours?

A fit if you can self-qualify fast: the work is built for premium brands with organic upside, high-value enquiries, and real brand context to feed into AI. The common thread is simple — you need systems that turn expertise into visibility and revenue, not generic output.

Luxury hospitality & villa brands chasing direct bookings

Built for villa rentals, boutique hotels, resorts, travel concierges, yacht charters, wellness retreats, and golf resorts. It fits when high-value direct bookings are being lost to OTAs, aggregators, or third-party platforms, and organic visibility could recover more direct business.

Premium real estate & high-ticket service businesses

Premium property, investment advisory, and high-end professional services. The need is usually authority across Google and AI discovery — especially when trust and expertise drive the sale, and you have expertise worth publishing but no system that turns it into consistent authority-led content.

Founders sitting on under-worked lead databases

An existing contact base with intent data that has never been retargeted properly. In many cases years of enquiries, budget signals, and past lead data sit idle while new acquisition gets all the attention — when the fastest win is better use of the demand you already captured.

Honest fit

Who this is not for.

This is not a fit if the goal is cheap output, a paid-media-first growth plan, or generic AI content that could belong to any brand. The model matters less than the brand context, and that only works when a business cares about quality, positioning, and long-term organic growth. It is also not a fit for teams looking for a tool to replace thinking — the work is built for brands that want systems, clear positioning, and content tied back to revenue.

See if you fit — book a call

What you get

What you actually get from our generative AI consulting.

This work is not a vague AI retainer. It is a defined set of systems, workflows, and reporting layers built to improve organic traffic, AI search visibility, and revenue clarity for premium brands.

  • A strategy layer that ties AI work back to business growth, not novelty: a roadmap built around organic traffic, AI search citations, and the points in your funnel where better content or automation produces direct commercial impact. For premium brands this sits across search visibility, enquiry generation, content production, and reporting — deciding what gets automated, what stays human-led, and what gets measured from day one.

    Line-art of an AI strategy roadmap winding through milestones to a rising growth arrow
  • A master folder built once and reused everywhere AI touches copy, design, or code. It holds voice rules, services, pricing, workflows, and key brand decisions so each session starts with context instead of guesswork. This matters because the model alone fills gaps with defaults; a strong context layer is what makes output sound specific to your business instead of generic AI content.

    Line-art of a central brand-context folder feeding many connected AI sessions
  • The operating layer: custom agents, retrieval-backed workflows where needed, Claude Code routines, and n8n pipelines that handle repeatable jobs — content engines, lead formatting agents, research routines, or outreach workflows. The outcome is a system that does useful work without constant manual input. It is ai agent development tied to a real business process, not an isolated demo.

    Line-art of an orchestrated network of AI agents with an automation loop
  • Most brands do not need a fresh stack — they need AI connected into what they already use: a CMS for publishing, a CRM for lead flow, and analytics like GA4, GSC, and Ahrefs for measurement. That is where generative ai integration services become useful: output flows into live operations instead of sitting in a disconnected AI workspace no one touches again.

    Line-art of modular blocks plugging into a central hub — AI integrated into an existing stack
  • Once the system is live, the work shifts into tuning, reporting, and visibility tracking. Branded monthly reports pull from GA4, GSC, and Ahrefs and show what is actually moving, what is stalling, and where the next gains are likely to come from. For premium brands this also means watching AI search visibility and branded search trends together.

    Line-art of a rising performance chart viewed through a magnifier — AI search visibility tracking

Why us

Why work with us instead of a generic AI agency

Four things that separate this from a slide deck and a monthly AI retainer.

  • Claude-native, not tool-agnostic theatre. We build on Claude Code with documented Skills and Routines — real working assets like CLAUDE.md, SKILL.md, repeatable routines, and production workflows that keep doing the job after the kickoff call ends.
  • Context engineering before prompt engineering. The model matters less than the context you feed it, so we build the brand context system first. Once the source of truth is in place, the prompts get simpler and the output gets a lot better.
  • Luxury and hospitality is our home turf. We work day to day with luxury villas, boutique hotels, and premium real estate — Insider Villas, Reiderstad Invest, Vista Collection — where trust, positioning, and direct revenue actually matter, not enterprise procurement decks.
  • Organic only, no paid media, ever. 6+ years in organic digital marketing, by design. No PPC, no paid social, no media buying — rented attention disappears the second you stop paying, while organic content, search, and AI discovery build assets that keep working.
Book a strategy call

How it works

From strategy to a working system — without vague consulting phases.

Define the use case

A 30-minute Strategy Call to scope fit, pressure-test the business case, and pick the highest-leverage use case first. This is the ai strategy consulting layer, kept practical and tied to what can actually be built and measured. Deliverable: fit assessment + top use case. ~30 minutes.

Build the brand context

We build the master brand folder every agent, workflow, and model draws from — voice, services, pricing, workflows, and the first agent spec — so your ai implementation consultant is not starting every session from zero. Deliverable: master brand folder + first agent spec. 1 to 2 weeks.

Ship the system

We build and put the working system into production — a content engine, a lead pipeline, or an agent stack. This is where Claude Code routines, n8n automations, and the live operating setup get installed and used. Deliverable: working content engine or agent stack in production. 4 to 8 weeks.

Optimise and expand

Once the first system is live, we track performance, tighten weak points, and add new use cases where the return is clear — monthly reporting, organic growth analysis, and new automations layered onto the same context system. Deliverable: monthly report + new automations. Ongoing.

Grow your organic revenue
with a Strategy Call.

You get a clear starting point, a live operating system, and reporting that tracks whether the work is actually moving organic traffic and AI search citations. Proof: Insider Villas went from zero to roughly half of all bookings direct, and Reiderstad Invest reached #2 in the USA for the keyword 'mallorca'.

Or book a 30-minute call — scope set on the call.

FAQ

What premium brands ask before they start

How is this different from hiring an AI developer or generic AI consultant?

An AI developer usually builds one thing. A generic consultant usually gives you a strategy deck. We do Claude consulting around revenue-tied systems — the brand context, the workflows, the agents, and the reporting layer all get built to move organic visibility and commercial output. That is a different job from staff augmentation. It is also different from advice with no operating system behind it.

Do we need to be 'AI ready' before we start?

No. Most of the readiness work gets created in the first 1 to 2 weeks, when we build the brand context system and define the first agent spec. You do not need a perfect internal setup before starting — the early phase is what turns scattered brand knowledge, offers, and workflows into something AI can actually use.

What if we've already tried Gen AI and it didn't work?

That usually points to a context failure, not a model failure. If the system did not know your brand voice, services, pricing, workflows, and standards, it was always going to default to generic output. A lot of businesses keep switching models when the real issue is missing source material. The fix is usually not a smarter prompt, it is a proper brand folder and a tighter operating setup.

How long until we see organic traffic or AI citations move?

Organic movement usually starts showing in the 60 to 120 day range, depending on the site, the starting point, and what gets shipped first. AI citations tend to follow the same underlying signal — if branded search and authority are climbing, AI visibility often improves with it. This is also why raw chatbot referral data can be misleading; in many cases the real lift shows up later as branded search demand, direct visits, and higher-quality organic enquiries.

What does it cost to engage you?

Pricing is engagement-based and scoped on the Strategy Call. There is no hourly rate and no generic menu, because the right build depends on whether you need a content engine, a lead workflow, a reporting layer, or a broader system. The confirmed commercial positions are straightforward: Managed subscription starts at €3,000 per month, and buyout builds are scope-dependent with optional maintenance from €400 per month.

Do you work with brands outside luxury and hospitality?

Yes, if the business is premium, content-heavy, and depends on organic visibility to drive revenue. That includes high-ticket service businesses, premium real estate, investment advisory, and other expertise-led brands where an ai automation consultant can build systems that compound. No if the goal is cheap output, paid-media-first growth, or generic AI content at volume. Those are bad fits, and it is better to say that early.