Somebody typed the word “yes” into Google last week, and it landed in a Search Console report as though it were a keyword.
At a facility in Las Vegas, Amazon is cutting the spines off rare books and running the pages through scanners, because text written before 2023 is now worth more than text written last month.
Those two facts are the same fact. Everything downstream of your content is now automated, and everything automated needs a source it can trust. Reddit started converting text posts into narrated video this week, choosing the format on your behalf. AI answers rebuild your pricing page out of whatever they can read. Enterprise buyers signed enough contracts to double Anthropic’s revenue twice in seven months, and every one of those contracts runs on somebody’s data.
The through line this edition is the source layer. Who holds the original, whether a machine can read it, and what happens to it once it leaves your hands.
Update your llms.txt to the v2 spec (or decide you do not need one)
Jeremy Howard of Answer.AI published llms.txt v2 on 10 August, the first revision since the format launched. It adds a second markdown path pattern, so /docs/tutorial.md now works alongside /docs/tutorial.html.md, plus two link relations that let agents find your material: rel="alternate" type="text/markdown" pointing at the markdown version of a page, and rel="describedby" pointing at the llms.txt file itself. Both can ship as ordinary <link> elements in the head or as HTTP Link response headers, and if you already maintain an llms.txt the upgrade is a small edit rather than a rebuild. Be clear about why you are doing it though: Google Search still ignores llms.txt entirely and this changes nothing about rankings. This is for coding agents, IDE tools, and documentation readers, so the honest twenty-minute version of this task is checking whether any of those actually read your docs before you build anything.
Happy Growth,
Dan
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