The protocol layer of the agentic web is splitting into two bets, and most websites have already placed one of them without knowing it. The first bet is about identity: a file called llms.txt that tells AI models who you are and what your content covers. The second is about capability: a browser standard called WebMCP that tells an agent what it can actually do on your website once it arrives. They sound like the same idea. They answer opposite questions. And the difference decides where your effort should go over the next year, because one of these bets is being switched on for you by default, while the other, the one that actually lets an agent finish a task, takes deliberate work.
2 Files, 2 Questions
An agent that lands on your website has two things it might want to know. The first is what this place is and what it covers. The second is, now that it is here, how it completes the task its user sent it to do. Identity, then capability. The agentic web is building a separate answer for each, and the two answers come from two different files backed by two different camps.
The identity answer is llms.txt, a plain-text file you publish at the root of your domain. It is a curated map: here is who I am, here are my most important pages, here is what each one is about. The capability answer is WebMCP, a browser standard that lets your website expose callable tools to an agent, so the agent can search, filter, price, or book by invoking a function instead of guessing at your interface.
Llms.txt and WebMCP get lumped together as two flavors of the same thing, agent-readiness. They answer two different questions. Identity is a brochure. Capability is the cash register. And right now the industry is pushing every website toward the brochure, the bet with the weaker evidence behind it, while the cash register, the bet that actually moves a transaction forward, is left to the few teams willing to build it.
The Identity Bet: LLMs.txt
Llms.txt is a markdown file that lives at yourdomain.com/llms.txt. It was proposed by Jeremy Howard, co-founder of Answer.AI, on September 3, 2024, as a way to hand language models a clean, human-curated index of your content instead of making them crawl and reconstruct it from HTML cluttered with navigation, ads, and scripts. The pitch is reasonable on its face. Models work better with structure, so give them structure.
The problem is that the evidence it does anything is thin. Answering people on Reddit in June 2026, Google’s John Mueller called llms.txt “purely speculative for now (the file has existed for years, yet none of the AI systems use it)” (reported by Search Engine Journal). That is a Google Search advocate saying the quiet part out loud. A file that has been around for over a year. A file no major AI system has confirmed it reads. A file that asks you to keep a second copy of your own content in sync.
Even with evidence this thin, llms.txt is being switched on for websites by default. AIOSEO, a plugin…
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