Make your website usable by AI agents.

An agent-ready website publishes information and actions in predictable, documented formats that software agents can discover and use. Depending on the need, that can include stable machine-readable pages, a skills index, an OpenAPI contract or an MCP server, with consent and safety controls around actions.

Generative Engine Optimisation helps a business become a useful source inside AI-generated answers. Agent Readiness focuses on discovery and safe action: can an agent understand the available capability, call the right interface and complete a task with the user in control?

AI agents are software workers we build to carry out a business workflow such as triaging enquiries or routing documents. Agent Readiness prepares a website or service so an external or internal agent can discover and use its approved capabilities. One is the worker; the other is the interface and safety layer.

SEO helps pages appear in traditional search results and earn visits. Agent Readiness does not target rankings. It makes selected information and actions accessible through machine-readable routes and documented tools.

Kingsland Fabrications scores 100 out of 100, Level 5 “Agent-Native”, on the agent-readiness scan used for this service. The technical score proves the discovery layer is present; any operational action is still tested separately against its own inputs, permissions and outcomes.

Model Context Protocol is a way to expose data and tools to compatible AI clients. You may need an MCP server when an approved agent must retrieve live information or perform a defined action. You do not need one merely because the website has content; a normal page or documented HTTP API can be the simpler answer.

Yes, if the workflow is deliberately built for that action. The tool should show the user the completed enquiry, require confirmation before sending, validate the data and return a clear receipt. We do not treat silent form submission as a good agent experience.

Yes. Well-known discovery paths, API contracts, MCP servers and machine-readable content can be implemented on many platforms. Some conveniences are hosting-specific, so the audit separates portable standards from optional platform features.

We verify that the discovery route resolves, the schemas validate and a compatible client can understand the declared capability. For actions, we test valid requests, invalid requests, approval points, authentication, logs, errors and the fallback experience. A high site scan alone does not prove an action is safe.

For the audit, we need the live website and a short call about the action you want an agent to support. Implementation normally needs website or repository access, API documentation, a technical owner for connected systems and a decision on consent, permissions and who approves sensitive actions.

The automated scan is quick and useful for spotting technical gaps, so we make that first check available without forcing a project. The paid audit adds workflow mapping, permission and risk decisions, interface review and a practical implementation plan.

Yes, but structured data is only one layer. An agent may also need a stable content route, a discovery file, a tool contract and a secure endpoint. We choose the smallest stack that supports the real action instead of adding every possible protocol.