What Ecommerce SEOs Need to Do About AI Content Labelling

The EU AI Act became enforceable on 2 August 2026. Most ecommerce teams have spent the summer worrying about AI labelling requirements on their product pages. The regulation that actually binds them shipped in April 2024, inside the Google Merchant Center feed spec — not from Brussels. The EU Act’s text-labelling duty almost certainly does not apply to your product descriptions. The rule that does apply has been live for over two years, and most stores are quietly non-compliant. This article is a companion to the technical breakdown of AI watermarking and Article 50, which covers mechanism and the three-layer regulatory structure in full. Read that first or after — you can follow this piece either way.
Read more →

AI Text Watermarking Under the EU AI Act: What Publishers, SEOs, and Creators Actually Need to Know

A writer drafts a 1,200-word analysis piece. The ideas are entirely their own — the structure, the argument, the research. They run the draft through Claude to catch awkward phrasing and tighten two passages. Then they publish. The published text now carries an imperceptible, statistically embedded mark indicating that a language model processed it. The ideas have not changed. The mark cannot be seen by any reader, cannot be read by any tool without Anthropic’s private key, and cannot be stripped without degrading the text. Nothing about who thought what has been recorded.
Read more →

llms.txt advertising is a non-starter, here's why

Imagine a rate card that does not yet exist. For $250 per month, your product appears in the recommended-tools section of a documentation site’s llms.txt, which is parsed by coding agents at the moment a developer asks what library to use. The agent fetches the file, reads the description string, and your product lands in context at the exact instant the decision is made. This is a coherent-sounding product. Adjacent versions are already being sold: paid brand mentions in AI Overviews, sponsored inclusions in AI-generated listicles, and placement in curated “agent context” resources. DiNardi’s audit in Search Engine Land found placements at $250 per mention, with PBN-style inventory selling at 10–15x backlink rates. The rate card for llms.txt is merely the logical next step.
Read more →