I’ll say the quiet part out loud: your website now has two audiences.
- Humanswho browse, compare and buy.
- AI Systemswhich summarize, recommend and route the click (or not).
If the AI layer can’t understand what you’re selling, who it’s for, what it costs, and what’s next… you don’t just lose your ranking. You lose distribution. If AI can’t analyze your website, you won’t exist!
So here is the new thesis:
The new web stack is Human UX + Agent UX
Human UX it’s what we all know: design, speed, clarity, persuasion, reduced friction.
UX Officer is more recent: to what extent can machines extract facts, compare options and complete tasks use your site as a source of truth.
Most companies accidentally create Agent UX the wrong way:
- vague titles (“All-in-one platform”)
- hidden price
- missing policies (refunds, cancellation, SLA)
- marketing pages that were never actually say what the product does
- messy page structure (no clear definitions, no scannable sections)
- weak entity signals (who you are, where you operate, what you offer)
This thing might still “look good”.
But that does not analyze.
And in an AI-driven world of discovery, do not analyze = not be selected.
What does “analyzable” actually mean?
When an AI system tries to answer “What is the best hosting for WooCommerce?” or “Which web design agency specializes in SaaS?” it essentially involves looking for:
- Clear statements (what you do, who it is for, what is included)
- Comparable facts (prices, limits, guarantees, requirements, locations)
- Evidence (case studies, screenshots, numbers, reviews, credentials)
- Acts (book, buy, generate a quote, start a trial, migrate, contact)
- Consistency (the facts match on the page and on the site)
So analyzable does not mean “add a pattern and pray”.
Analyzable is: make your site unambiguous.
The 9 rules I follow for Agent UX
1) Say the thing (in the first screen)
If your hero section could fit on a competitor’s site, it’s worthless to humans. And machines.
Instead, do this:
- “Managed WordPress hosting for e-commerce stores costing between $50,000-$5M/month.
- “Conversion-Focused Web Design for B2B SaaS: Strategy + Design + Development.” »
2) Place a one-paragraph “Answer First” block under each main heading
Do not bury lead. Give the summary, then the details.
This is how you become easy to cite.
3) Transform your offer into a technical sheet
If you sell hosting, your site should effortlessly extract:
- stack (LiteSpeed/Nginx, PHP versions, Redis, etc.)
- limits (storage, bandwidth, CPU/RAM policies)
- backups (frequency, retention, restoration process)
- support (hours, channels, response SLA)
- transparency of availability and incidents
- migration details
Same for the design:
- deliverables
- time limit
- revision limits
- developer transfer details
- accessibility standards
- What “success” looks like (metrics)
4) Make prices analyzable (even if they “start to”)
If you hide prices, you force people (and the AI) to guess. Guessing kills conversions.
You don’t need to publish every edge case. But you TO DO need:
- initial price
- what is included
- what changes the price
- what’s next (demo, quote, payment)
5) Don’t let policy pages become legal garbage
The refund/cancellation/warranty/SLA pages should not be read as a threat.
They should read like clear rules:
- what qualifies
- what’s wrong
- time windows
- how to initiate
- How long will it take
AI systems like clear policies because they reduce uncertainty.
6) Use structured data like a receipt, not a suit
Structured data is not a “growth hack.” It’s a machine readable mirror of what is already visible.
If you annotate things that you don’t show or are careless, you train systems to distrust you.
7) Create “decision pages,” not just blog posts
Thought leadership is great, but the decision pages are what make the money and the quotes.
Examples:
- “WooCommerce hosting: requirements + recommended stack + benchmarks”
- “Website Redesign Checklist + Timeline Calculator”
- “Web design price breakdown (by business model)”
- “Migration guide with real constraints and failure modes”
8) Add proof where the question appears
If you claim “fast”, show benchmarks. If you claim “accessible”, show your standard + examples. If you claim “increases conversion,” show screenshots and before/after numbers.
Not in a buried “Case Studies” page. Where the objection occurs.
9) Give the AI a clear and meaningful sitemap
This is not an XML sitemap.
These are:
- coherent internal mesh (hub? spokes)
- Stable canonical URLs
- obvious purpose of the page
- no almost identical duplicate pages
- proper titles that reflect the intent of the query
The error I see everywhere in hosting + design sites
They are optimized for impressionnot interpretation.
They say:
- “Prime.”
- “New generation.”
- “Powered by AI.”
- “All-in-one”.
But they don’t say:
- “For who?”
- “Compared to what?”
- “What’s included?”
- “What are the limits? »
- “What happens if it breaks?” »
- “What does success look like?” »
The AI does not reward vibrations.
AI Rewards clarity.
A simple way to think about it
If someone asked an AI:
“Should I choose you or your competitor?” »
Would your website provide enough clear facts to answer:
- what are you doing
- who is it for
- how different you are
- what it costs
- how to start
- what to expect
Otherwise, you don’t “lose traffic”.
You lose the shortlist.
My “Agent Ready Website” Checklist
If you want to build a one-page checklist, here it is:
- Positioning in one sentence that includes the audience + the result
- “Answer First” paragraph under each main heading
- Pricing including starting point + inclusions + variables
- Clear boundaries (what you will/won’t do)
- Policies written in the form of rules (refund/cancellation/SLA)
- Close-to-disaster evidence (numbers, screenshots, case studies)
- Decision pages for high-intent queries (not just blogs)
- Own internal links (hub-and-spoke)
- Objection handling sections (security, migrations, deadlines, risks)
FAQs
No, SEO is a subset. It’s distribution. AI experiments are increasingly the gateway. Your site should be both quote-worthy and action-worthy.
Schema is useful, but only if the underlying content is clear and the markup matches what users can see.
This is already part of the change. Your answer shouldn’t be “complain about the traffic.” This should be it: becoming the cited source and the obvious next step.
Try this quick test: Choose 5 high-intent questions a buyer would ask (price, who is it for, what’s included, limitations, next step). If a stranger (or an AI summary) can’t answer it in less than 60 seconds on your site, you’re not scannable yet. Then check to see if these answers are clearly stated in headings, bullet points, and short “answer first” paragraphs, and not buried in long texts or PDFs.
Start with the pages closest to revenue: your home page, your pricing page, your product/service pages, and your top 3 “decision” pages (comparisons, “best for X” or “how it works”). If these are clear, everything else gets worse: blogs, landing pages, and even support documents become easier to summarize and cite.
Yes, maybe even more. Local sites often hide the most important facts: service area, starting price, availability, turnaround time, and what “done” means. If you make these details explicit (and consistent across your site), you become the easiest option for AI to recommend when someone searches for “near me” or asks a question like “Who can do X in Y time?”
Not automatically. More content can make your site less parsable if it creates contradictions, duplicates or vague pages. What you want is fewer, stronger pages with clear definitions, a scannable structure, and evidence attached to claims. Clarity beats volume.
Structured data is just one tool for the UX Agent, not the entire strategy. The UX agent is the larger task: making your site unambiguous, comparable and ready for action. Structured data helps machines read it, but only if the underlying page already clearly states the facts.
The essentials
You can continue creating websites as if it were a brochure. Or you can build them with AI and humans in mind.
A website is a knowledge base, evidence engine, and task execution layer:designed for humans And agents.
