How to Create an llms.txt File for Your Website
A practical walkthrough of the emerging llms.txt convention, with a template you can adapt for your own site in under an hour.
Read articleWhich structured data types matter most for AI search, with copy-ready examples for Organization, Service and FAQPage markup.

Structured data is a machine-readable description of your content, added to a page as a <script type="application/ld+json"> block. Search engines have used it for years, and it is equally useful for AI systems trying to work out what your business does.
Describes your company: name, logo, website, contact details and profiles on other platforms (sameAs). This is the foundation of your brand entity.
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Ceyentra Technologies",
"url": "https://ceyentra.com",
"logo": "https://ceyentra.com/assets/img/logo/Ceyentra-icon.png",
"sameAs": [
"https://www.linkedin.com/company/ceyentra",
"https://clutch.co/profile/ceyentra-technologies"
]
}Describes an individual service you offer, who provides it and where. Add one to each service page.
{
"@context": "https://schema.org",
"@type": "Service",
"name": "Generative Engine Optimization",
"provider": { "@type": "Organization", "name": "Ceyentra Technologies" },
"areaServed": "Worldwide",
"description": "Get your brand found and cited in AI answer engines."
}Marks up question-and-answer content. Google limited FAQ rich results in search listings in 2023, but the markup is still a clean, explicit way to tell machines which questions a page answers.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What is Generative Engine Optimization?",
"acceptedAnswer": {
"@type": "Answer",
"text": "GEO is the practice of optimizing a website so AI engines can understand, trust and cite it."
}
}]
}
A practical walkthrough of the emerging llms.txt convention, with a template you can adapt for your own site in under an hour.
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