---
title: "Agent Readiness"
canonicalUrl: https://happywebs.co.uk/services/ai-native-readiness/
serviceSlug: ai-native-readiness
tier: primary
---

# Make your website usable by AI agents

An agent-ready website does more than publish pages. It describes services and actions in a machine-readable way, exposes the right capabilities through documented interfaces and keeps consent, authentication and human approval around anything sensitive. We audit the current site, build the smallest useful access layer and verify what an agent can safely discover and do.

## What is included
- **Agent-readiness baseline audit** — Review discoverability, machine-readable content, action endpoints, MCP or OpenAPI coverage, permissions, approvals and error handling
- **Machine-readable service summaries** — Publish concise service, pricing-band and process information at stable URLs that software clients can retrieve and interpret
- **Discovery and content signals** — Configure appropriate robots directives, content signals, Link headers, llms.txt files and well-known discovery routes where the platform supports them
- **Skills discovery index** — Describe useful actions such as request a quote, prepare an enquiry or check availability through a consistent agent-skills index
- **MCP or tool interface** — Expose the agreed read or action capabilities through a focused Model Context Protocol server when MCP is the right fit
- **OpenAPI + API catalog** — Document HTTP actions with an OpenAPI contract and API catalogue so inputs, outputs and failure states are explicit
- **Consent and confirmation flow** — Keep the user in control before personal data is submitted, messages are sent or consequential actions are performed
- **Authentication and safety controls** — Add scoped credentials, validation, rate limits and allow-listed actions appropriate to the data and operational risk
- **Logs, errors and fallback routes** — Make calls traceable, return useful errors and give the user a normal web route when an agent action cannot complete
- **Verification and handover** — Test discovery and actions against the agreed contract, document the result and show your team how to monitor and maintain it

## Indicative pricing
Start with a free technical scan or a £1,495 Agent Readiness Audit and 90-Day Roadmap. Foundations work starts from £1,500. A focused MCP, OpenAPI or agent-action build starts from £4,500 once the action, data and approval boundary are clear. Ongoing monitoring starts from £750 per month where the interface is operationally important.

## Frequently asked questions
### What is an agent-ready website?

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.
### How is Agent Readiness different from GEO?

<a href="/services/generative-engine-optimisation/">Generative Engine Optimisation</a> 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?
### How is this different from an AI agent?

<a href="/services/ai-agents/">AI agents</a> 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.
### How is this different from SEO?

<a href="/services/seo/">SEO</a> 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.
### Do you have proof this works?

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.
### What is an MCP server and why do I need one?

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.
### Can an agent submit an enquiry on a customer's behalf?

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.
### Can you do this if my site isn't on Cloudflare?

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.
### How do you verify Agent Readiness?

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.
### What do you need from us?

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.
### Why is the audit free?

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.
### Is this related to schema and structured data?

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.