What does it mean to be AI Ready?
Being AI-ready isn’t just about adding a chatbot to your homepage. It’s about making your systems and data discoverable, understandable, and usable by intelligent agents. This page outlines a practical approach to preparing your business for an internet that’s increasingly driven by AI.
Traditional SEO focused on keywords and visibility. AI readiness is about making your content and services machine-readable, semantically rich, and technically accessible to AI systems — from search engine agents to autonomous tools powered by large language models.
A progressive approach to AI readiness
Every organization is at a different point in their digital maturity. That’s why I take a progressive approach, helping clients move from foundational improvements to advanced AI capabilities step by step.
- Structured public data:
Add JSON-LD, schema.org metadata, and Open Graph tags so your content can be parsed and understood by LLMs and AI agents. - Searchable internal knowledge:
Build retrieval-based systems to enable smart Q&A for your internal teams or customers. - Conversational interfaces:
Integrate AI-powered chat components that can handle questions, bookings, or support tasks using your internal data. - Exposing functionality:
Define structured, discoverable APIs or interfaces that allow AI tools to interact with your services — using standards like MCP or OpenAPI.

My process: The AI Readiness Audit
I start every engagement with an AI Audit — a technical and strategic evaluation that gives you a clear understanding of your current position and what’s realistically achievable.
The output is a document that outlines:
- Your current state from an AI and data perspective
- Short- and long-term steps to become AI-ready
- Opportunities for intelligent augmentation or automation
- Technical recommendations aligned with your business goals
If you’re curious whether your systems are ready for the next generation of the internet — or want help getting there — feel free to get in touch.