GEO for media and publishers: get cited in AI answers

The problem

AI retells the news without sending traffic. Worse — it may train on your material. You need to be in the answer as a source and control usage of your content at the same time.

Why agent-readiness matters for media

• Citation = reach. AI answers link to sources; structured, clean content gets cited more readily.
• Control over training. You can allow search and AI answers but forbid model training — a nuance plain robots.txt doesn’t have.

Where to start

• Schema.org Article — author, date, headline, machine-readable: AI understands it’s an article and who the source is.
• llms.txt — a map of your key pieces and sections for an LLM.
• Content Signals — search=yes, ai-input=yes, ai-train=no: visibility without feeding content into training datasets.
• Markdown for Agents — clean article text without HTML noise, easy to cite.

The outcome

The publication becomes a cited source in AI answers — on your terms for how the content is used.