If you run a business on Cyprus or anywhere in the EU, and you’re thinking about a new website or an online store, you’ve probably heard about AI agents. These are automated systems that browse the internet on behalf of users. But here’s the catch: the agentic web is splitting into two distinct bets. And you need to understand both to stay visible.

The Two Bets: Identity and Capability

According to a recent analysis by Slobodan Manić on Search Engine Journal, the web is separating into two core functions for AI agents. One is about identity — who you are. The other is about capability — what your site can actually do. These are not interchangeable; they solve different problems.

Identity: The LLMs.txt Approach

For website owners chasing AI visibility, the first bet is on LLMs.txt. This file tells an AI agent what your brand is about, what pages exist, and what content matters. It’s a static declaration: “Here is our identity.” For a Limassol law firm or a Nicosia e‑commerce store, this is the baseline. It costs nothing to implement (just a text file on your server), and it takes a developer about 15 minutes to set up. The file should comply with GDPR by not leaking personal data — only public information about your services, team, and location. If you serve English, Russian, and Greek speakers, include all three versions.

Capability: The WebMCP Approach

The second bet is on WebMCP (Model Context Protocol). This is not about telling an agent who you are — it’s about showing it what your site can do. Think of it as an API for your web pages. For example, a travel agency in Paphos could let an AI agent check flight availability or book a tour directly by exposing its booking system through WebMCP. This goes beyond static content; it enables action. For a local business, this typically costs €500–€1500 to integrate, depending on whether you already have an API. The timeline is one to two weeks. And because you’re handling user data, you must ensure GDPR compliance — for instance, by logging consent and encrypting requests.

What This Means for Your Business

  • If you only have a static brochure site (e.g., a restaurant or a real estate agent), start with LLMs.txt. It’s quick and cheap, and it gets your name in front of AI agents searching for services in Limassol, Larnaca, or the EU.
  • If you run a dynamic web shop or a CRM/ERP system (e.g., an online store selling olive oil or a logistics platform), invest in WebMCP. This lets agents perform tasks like checking stock or updating orders, which is a competitive edge. For multilingual sites, WebMCP can handle locale negotiation — but you need to configure it for EL, EN, and RU if your customers use those languages.
  • If you’re planning a mobile app, consider that AI agents increasingly operate through voice or chat. Your app’s backend should expose endpoints that an agent can call — like fetching product recommendations or submitting a support ticket.

Practical Trade-offs

Manić highlights that these two bets are not mutually exclusive, but they require different maintenance. LLMs.txt files are static — update them when you add a new service or move offices. WebMCP is dynamic: every new feature (e.g., a booking widget) needs an endpoint. For a small business on Cyprus, which often has lean tech teams, this means prioritizing. A typical budget for both implementations is under €2000, and a developer can set them up in under three weeks. However, if you serve EU customers, remember that WebMCP actions may trigger GDPR rights (e.g., the right to be forgotten) — your system must handle data deletion requests automatically.

The agentic web is here. It’s not a future trend. Start with your identity, then build your capability. Your customers — and their AI agents — will find you either way.