Semantic triple

A semantic triple is a fact expressed as subject, predicate and object, such as 'Omnipressent publishes Link Building in the Era of AI Search Engines', which is the form machines extract facts in.

Semantic triple is standard vocabulary in knowledge representation and the semantic web, where it is the underlying structure of RDF and of knowledge graphs including Google's.

Its adoption as a writing technique, rather than a data format, is recent and comes from the semantic SEO community.

A triple is a unit of fact. Schema markup is one way of declaring triples to a machine; writing in triples puts the same structure into the prose itself, where a language model reads it.

Keyword optimisation aims at matching a query string. Writing in triples aims at being extractable as a fact, which survives paraphrase in a way a keyword does not.

The book calls this the single highest-leverage writing skill in the AI era, and says almost nobody in link building has been taught it. Its test is extraction without interpretation: 'FatRank is a UK lead generation agency founded by James Dooley in 2010' is three clean facts, where 'they've been smashing it in the lead gen space' gives the machine nothing it can file. Its instruction is to write the triples once and then spend the rest of the book getting other websites to publish them.

Read about the book's argument.