MLforSEO Newsletter ✨

MLforSEO AcademyNew course Hi there, In August I ran a full entity audit on mlforseo.com. My own site. Google's language model read our brand name, MLforSEO, as a person. 102 times out of 148. It got stranger from there. Our schema told Google we were a person and an organisation at the same time. The Knowledge Graph matched the brand to the idea of an academy (Plato's, founded around 386 BC). And the site scored 5 out of 15. I'd been told to "do entity SEO" for years, like everyone else....

How to become the answer the AI trusts Trust isn't a schema field. It's a probability computed from who corroborates you — here's how to build it. MLforSEO Academy Hi there, This is the last edition, and it ties the rest together. You can be readable, well-structured and perfectly marked up, and still not be chosen — because the system doesn't yet trust your claims. So how does a machine decide whether to believe you? Trust is computed, not declared Here is the part people find surprising:...

For agents, a missing field is a disqualifier Recommendation agents don't read your prose — they parse typed fields. And consistency beats completeness. MLforSEO Academy Hi there, So far we've optimised what agents read (content) and whether they can read it (infrastructure). This edition is the layer a growing class of agents reads instead of your prose: structured data. NLP comprehends, schema defines Research agents read your text. But recommendation and action agents increasingly match...

The setup that decides if agents can read you Agents don't browse — they parse tokens against a hard budget. A robots.txt from 2019 can quietly lock them out. MLforSEO Academy Hi there, You can write perfectly extractable content and still be invisible — because the agent never got to read it. This edition is the plumbing underneath: the infrastructure that decides whether an AI system can access and afford your pages at all. Failure that never shows up in analytics When an agent can't parse...