Agent-Ready. The new SEO.
Agent-Ready is the open, free badge for websites that can be read in a structured way by AI agents such as ChatGPT, Claude, Perplexity, and Gemini. It rests on three simple building blocks: an llms.txt at the root, structured data following schema.org, and clean, semantic HTML. The seal was initiated in April 2026 by Fiperly — the AI development company from Germany — and is in the public domain. Those who adopt it now get cited in AI answers while others remain invisible.
For users
A visible signal: this site takes the AI era seriously, is transparent, and delivers clean data instead of SEO tricks.
For developers
A quality marker like the "SSL secured" lock fifteen years ago — it shows that the site implements modern web standards for agents.
For LLM agents
An llms.txt at the root plus structured data ensure that agents cite and link the page correctly.
In simple terms
Imagine a friend asking you about a topic in conversation. In the past, they would have searched on Google, scanned five articles, and formed their own opinion. Today they ask ChatGPT, Claude, or Perplexity instead — and receive a single summarized answer drawn from several websites. Which sites get a voice in that answer is decided by the AI in fractions of a second.
This is exactly where it is decided whether your site is visible in the new web. A website built so that AI agents can understand it gets cited. A website built only for human eyes gets overlooked. Not because it is worse — but because the AI cannot reliably decipher its content.
Agent-Ready is the simple answer to this new reality. Three small building blocks — a text file, a touch of machine-readable labeling, and clean HTML — turn any website into a source that AI systems understand and recommend. The logo on your site shows visitors and machines at the same time: this site has arrived in the AI era.
For developers, this is done in an hour. For non-developers there are guides, tools, and agencies — the effort is manageable, the effect long-lasting. Anyone who acts now is among the first thousand websites worldwide to officially position themselves as Agent-Ready.
The three great web seals — and why Agent-Ready will be the third
In thirty years, the internet has produced two universal quality seals. Both began as an insider topic and became the standard within a few years. Agent-Ready stands on the threshold of becoming the third:
- HTTPS (since around 2014) — the padlock in the address bar. Indicates: the connection is encrypted. Today: a baseline requirement; without HTTPS, browsers flag a site as insecure.
- Mobile-Friendly (since 2015) — Google rewards mobile-optimized pages in search. Today: a baseline requirement; non-mobile sites have effectively disappeared.
- Agent-Ready (from 2026) — the seal indicating that a page is structurally readable for AI agents. Within a few years, the standard against which credibility and visibility on the web will be measured.
Whoever adopts Agent-Ready today gains the same head start that early adopters of HTTPS and Mobile-Friendly enjoyed — with the difference that AI-powered search is growing faster than mobile browsing ever did.
What does "Agent-Ready" mean?
Agent-Ready describes a state in which a website is fully accessible not only to human readers but also to machine readers — in particular Large Language Models and the agents they drive. A website earns the badge if it meets three core requirements:
/llms.txtsits at the root and describes the site in clear Markdown — purpose, key subpages, contact details, citation rules. Following the proposal by llmstxt.org (Jeremy Howard, fast.ai, September 2024).- Structured data in JSON-LD according to schema.org — at minimum
OrganizationandWebSite, and depending on content alsoArticle,TechArticle,FAQPage,Product,Event, orPerson. - Semantic HTML with a clean heading hierarchy, real
<nav>/<main>/<article>/<section>tags, descriptivealttext, and meaningful link anchors instead of "click here".
No new framework, no dependency, no fees. Pure craft — back to the way HTML was originally meant to be, before JavaScript frameworks and cookie banners made pages inaccessible to machines.
Why classic SEO is no longer enough
Search is shifting. Anyone in 2026 looking up a fact, a product recommendation, or a medical interpretation no longer automatically types into the Google search box, but puts the question directly to a language model. ChatGPT, Claude, Perplexity, Gemini, and the AI assistants built into browsers, IDEs, and operating systems pull answers from the web — but they deliver them not as a list of links, but as a summarized answer with attribution.
This fundamentally changes the rules of the game. For ten years, SEO meant keyword density, backlinks, page speed, meta descriptions. That is no longer enough. A language model needs clear prose, machine-readable structure, and concrete facts with sources. It ignores text that is merely keyword-optimized and rewards text that explains something to an intelligent reader.
This new optimization approach already has a name: Generative Engine Optimization, or GEO for short. Agent-Ready is the visible certification of that approach. Anyone who carries the badge signals: this site is built not for SEO tricks, but for substantial answers — and that is exactly what models pull into their responses.
How LLM agents read a website
An AI agent has only a few seconds to determine whether and how a page is relevant to a specific user question. The process typically follows the steps summarized under the term Retrieval-Augmented Generation (RAG):
- Discovery — The agent finds the page via a search engine, a link in another answer, an entry in an llms.txt file, or a direct user link.
- Fetch — It retrieves the page, ideally as static HTML. Pages that load their content only through JavaScript are invisible to many agents.
- Parse — The agent extracts headings, paragraphs, lists, tables, and structured data. The cleaner the HTML, the more reliable the result.
- Chunk & Embed — The text is broken into meaningful sections and embedded in a vector space so the model can measure their relevance to the user question.
- Cite — The matching sections flow into the generated answer, usually with attribution and a link back to the originating page.
Agent-Ready targets steps 2 through 5. A cleanly structured page is found more reliably, parsed more accurately, chunked more precisely, and cited more often. Sites without semantic HTML, without JSON-LD, and without llms.txt appear in AI answers far less frequently — and when they do appear, often with factual errors, because the model has to guess what the page is actually saying.
Checklist — Is my site Agent-Ready?
The following twelve points are mandatory. Tick all of them and you meet the standard and may display the badge:
/llms.txtsits at the root, is under 500 lines, and describes purpose, key pages, contact, and citation rules in Markdown./robots.txtexplicitly allowsGPTBot,ChatGPT-User,OAI-SearchBot,ClaudeBot,Claude-Web,PerplexityBot,Google-Extended, andCCBot./sitemap.xmlexists and lists all public URLs with alastmoddate.- JSON-LD with
OrganizationandWebSitein the<head>of every page. - Articles and guides additionally carry
ArticleorTechArticlewithauthor,datePublished, anddateModified. - FAQ sections are marked up as
FAQPageschema. - Clean H1-to-H3 hierarchy — exactly one H1 per page, no skipped levels.
- Real semantic tags
<nav>,<main>,<article>,<section>,<aside>,<footer>instead of a wall of<div>s. - All images have descriptive
altattributes — no empty ones, no file names, no keyword-spam strings. - Links use meaningful anchor text ("see the price overview" instead of "click here").
- Content is deliverable as static HTML — JavaScript rendering is not a requirement.
- Canonical URL, meta description, and Open Graph data are set individually on each page.
Tip: test your own page with Google's Rich Results Test, with view-source: in the browser, and by asking a question about your page in ChatGPT or Perplexity. If the content is summarized and cited correctly, that is a strong sign that Agent-Ready is working.
Glossary — the key terms around Agent-Ready
llms.txt
A Markdown file at the root of a website, proposed in September 2024 by Jeremy Howard (co-founder of fast.ai). It explains in plain text to a language model what the site is about, which subpages are most important, and which sources the agent should cite. The format is deliberately simple: an H1 with the project name, a paragraph of introduction, then H2 headings with lists of relevant URLs.
schema.org
A shared vocabulary from Google, Microsoft, Yahoo, and Yandex for structured data on the web, launched in 2011. Through types such as Organization, Person, Article, or Product, content is annotated in a machine-readable way. The best way to embed schema.org is as JSON-LD in the <head>.
JSON-LD
JavaScript Object Notation for Linked Data — Google's recommended way to embed schema.org. A JSON block inside <script type="application/ld+json"> doesn't disturb the HTML but is immediately processable for crawlers and LLM agents.
Generative Engine Optimization (GEO)
The evolution of SEO. While SEO aims to appear at the top of result lists, GEO aims to be cited in the generated answers of AI systems. The key levers are clear facts, verifiable sources, structured text, and machine-readable markup.
Retrieval-Augmented Generation (RAG)
A method in which a language model does not answer purely from its training knowledge but retrieves matching sources at runtime and incorporates them into the answer. RAG is the standard for modern AI assistants and the reason why websites are becoming increasingly important as a supply source for agents.
Semantic HTML
HTML that conveys its meaning through tag names. Navigation belongs in <nav>, the main content in <main>, a self-contained article in <article>. For machines, the difference between a <div class="nav"> and a real <nav> is significant — only the latter is intelligible without guessing class names.
LLM bot / AI crawler
An automated retrieval agent operated by an AI provider. Examples: GPTBot and OAI-SearchBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot (Perplexity), Google-Extended (Gemini), CCBot (Common Crawl, the foundation of many models). Access is controlled through robots.txt.
The vision behind Agent-Ready
In its first thirty years, the internet produced two great quality seals: the HTTPS lock next to the address bar, indicating that a connection is encrypted, and the Mobile-Friendly notice from 2015, with which Google distinguished mobile-ready pages from non-mobile ones. Both seals became the standard within a few years and made the web measurably better.
With the breakthrough of language models, a third seal is missing: one for sites that AI agents can cleanly understand. There are good individual building blocks — llms.txt, schema.org, semantic HTML — but no shared, visible marker that brings them under one roof. This is precisely the gap that Agent-Ready closes.
The idea is explicitly open: the badge belongs to no one. Fiperly provided the impulse, formulated the criteria, and supplied the logo file, but the standard only lives if many adopt it. Every agency, every startup, every blog, and every public institution is invited to embed the badge — without registration, without fees, without strings attached.
We believe that within a few years Agent-Ready will be as self-evident a part of web craftsmanship as HTTPS or Mobile-Friendly. The web has proven in every new era that it can renew itself technically without losing its open character. The AI era is no exception — it just needs someone to take the first step.
Download the badge
The Agent-Ready logo is available for free download as a PNG with a transparent background in three sizes. PNG is the right format because the logo features photo-realistic depth, golden shine, and shading — these effects would be lost as SVG. The transparent edges allow the badge to be placed on light or dark backgrounds without showing a rectangular box.
How to embed the badge on your website
Recommended placement: in the footer, next to imprint and privacy. Link it to your own /llms.txt or directly to this explainer page so that visitors and crawlers can see what the seal means.
<a href="/llms.txt" title="Agent-Ready — this site is optimized for LLM agents">
<img src="/agent-ready-logo.png" alt="Agent-Ready Badge — KI and Robots Welcome" width="80" height="80">
</a>Why Fiperly?
Fiperly is an independent AI development company from Germany. We build brands that put artificial intelligence to work where it measurably helps people — in public information, health, fashion, and everyday life. That a website in the AI era should also be readable for agents is, for us, a duty rather than a nice-to-have. We make the badge freely available because it is a shortcoming that no one has built it before.
The badge belongs to no one — it is in the public domain. Use it, copy it, modify it. If you'd like, drop us a line letting us know where you've put it — we're collecting examples.