What it covers
Not a trick.
Good engineering.
Schema.org and JSON-LD describing your business, services, products, reviews and hours in a format machines read without ambiguity.
Every element declares what it represents: headings, sections, lists, navigation. No generic divs everywhere.
Content exists in the served HTML, not only after JavaScript runs. An AI crawler finds it on the first pass.
Dedicated files telling AI agents what they can read, how the site is organised and where the key information lives.
Open Graph, canonical, hreflang, sitemap. Every page declares its identity, language and relationships.
A fast, accessible site gets crawled more deeply and more often, by traditional engines and AI agents alike.
When you need it
Do any of these
sound familiar?
Your site runs on a platform that renders content only in the browser.
Asking an AI assistant about your business returns vague or wrong answers.
You invested in traditional SEO but nobody ever touched structured data.
You want hours, services and contacts reported correctly wherever they get read.
You are building a new site and want the right foundations from day one.
How we work
Three phases.
Verifiable results.
Checking what an AI agent can actually read from the current site, with a report of the issues found.
Implementing structured data, semantics, rendering and metadata without disrupting design or content.
Verification with official validation tools and real tests on how the site is interpreted.
Note
Nobody can guarantee appearing in an AI assistant's answers: those choices belong to the models, not to websites. What can be done, and what happens here, is making sure that when your site is read, it is understood correctly and without ambiguity.