An agent readiness assessment for websites, products, and digital surfaces
Designed for product teams, publishers, platforms, and developer-focused companies.
AI agents are becoming a new class of user for websites and products. They don’t browse like humans. They discover, extract, compare, summarize, and increasingly act on behalf of users.
This assessment shows how well your site, content, documentation, APIs, and product surfaces work from an agent’s point of view.
This is not an automated scan. It’s a focused, hands-on assessment that combines technical testing with product, editorial, and analytical judgment — to show what’s working, what isn’t, and where to act.
“Richard brought a level of analytical rigor that was rare: he didn’t just gather information, he made sense of it in ways that were genuinely useful and actionable.”
— Susan Mernit, founder of 5ive, a consultancy I’ve worked with
What the assessment answers:
- Can AI agents reliably discover and access your content?
- Can they understand what your organization, product, or service does?
- Is your site structured for citation, retrieval, summarization, and comparison?
- Can agents use your documentation, search, APIs, feeds, or product surfaces to complete tasks?
- How are you represented in tools like ChatGPT, Claude, Perplexity, and Gemini?
- Where are the highest-impact opportunities — and what should you do first?
Get in touch to discuss your site, product, or platform — and how AI agents interact with it:
Not sure if you’re ready? Then start with my Agentic Web Playbook.
Who the AX assessment is for
- Product leaders & CTOs — for web products and platforms adapting to AI-driven usage
- Media & publishers — for organizations that need to understand AI access, citation, summarization, and control
- Developer platforms & SaaS companies — for companies whose docs, APIs, SDKs, CLIs, or product workflows are increasingly interpreted and used by AI agents
- Marketing, content, and growth teams — For teams thinking beyond AI visibility toward agent readiness and Agent Experience
What you get
A concise, executive-ready report including:
Executive Summary
Where you are, what it means, and what matters most
Key Findings
3–5 insights that identify the most important gaps, risks, and opportunities.
Assessment across five layers
- Agent Discovery
Can AI systems find the right content, pages, docs, products, and services? - Agent Understanding
Can they accurately interpret what you offer, who it is for, and how it works? - Agent Usability
Can agents retrieve, query, compare, summarize, or act on your content and product surfaces? - Agent Integration
Are your APIs, feeds, search interfaces, docs, or emerging protocols such as MCP usable by agents? - Agent Experience Strategy
What should you expose to agents, what should remain human-facing, and where should you invest first?
Prioritized Opportunities
A practical set of recommendations, ordered by likely impact and effort.
Supporting Evidence
Selected screenshots, examples, test results, and observations.
How I work
This is a manual assessment, not a generic scanner.
I review how AI systems and agents experience your digital presence across areas such as:
- site structure and rendering
- crawlability and access
- metadata and structured data
- content extraction
- search and retrieval
- documentation
- APIs and feeds
- AI tool representation
- agent-facing workflows
- emerging protocols such as MCP, where relevant
I then translate the findings into clear product, content, technical, and business implications.
Interested in an Agent Experience Assessment?
If you’d like to understand how AI agents actually experience your website, content, product, or platform — and where the biggest opportunities are — I’d be happy to discuss it.
Fill out this form and I’ll be in touch: