Free learning track
AI visibility for developers and businesses
How AI systems find, parse, trust and cite a website — llms.txt, structured data, rendering strategy, and why specific checkable claims outperform marketing copy.
Who this is for: Anyone whose work should show up when a person asks an assistant rather than a search engine.
What you will be able to do
- Publish a valid llms.txt generated from your own content
- Emit a correct Schema.org graph with @id linking, not isolated fragments
- Audit what a crawler or model actually receives, using curl alone
- Write claims that are specific enough to be quoted and checked
The material
Articles in this track
Written and published. No sign-up, no email gate.
What Google actually sees on your React site
A client-rendered page gets indexed eventually, sometimes. A server-rendered one gets indexed reliably. Here is how to tell which you shipped, using curl.
Read itTell me what you're building.
Two minutes on the brief form gets you a real conversation: what the software has to do, what it will take, and an honest read on feasibility — whether or not we end up working together.