Semantic SEO: Google stopped reading words and started understanding subjects

Two pages on the same subject, built on the same keywords. One shows up. The other does not.

Nobody who looks only at words can explain that gap. The explanation sits in what Google started doing with the text after reading it.

What semantic SEO is

Semantic SEO means optimizing for meaning instead of for the word. Google does not rank text. Google ranks the answer to the intent. ¹

Picture a librarian who memorized where every book sits and never opened one. He finds your book by its title. Now picture a librarian who read them all. He hands you the right chapter, from a book whose title carries none of the words you used. Search moved from the first librarian to the second. This is called semantic search.

In practice the work rests on three pillars, and each one has its own page in this section.

The three pillars of the territory

Entities. Google keeps a catalog of things: people, companies, places, concepts. Ranking now starts with existing inside that catalog, with confirmed attributes. The entities article opens the mechanism, using the 2024 Google leak as evidence.

Structure. Subjects grouped together tell Google what the site is about. Subjects scattered around tell Google the site is about nothing in particular. The leaked Content Warehouse documentation exposes the variables behind that, and the semantic silos article shows how to organize a site around them. ²

Intent. Every search carries a question behind the words. The page that answers the question beats the page that repeats the words. This pillar ties the other two together, and its own page joins this section soon.

The part almost nobody connects: prompts

Search understands meaning. So the text you write for Google and the text you write for an AI obey the same logic. Structure before wording, intent before volume.

That is why the DNA of a Prompt series lives inside this silo. It applies the same principles in reverse. Instead of optimizing the answer Google hands you, it optimizes the question you hand the machine. Ten parts are planned, and the first two are live: architecture and titles.

Where to start

Traffic that never turns into authority: start with silos. The problem is usually structure.

A business that stays invisible even on searches for what it does: start with entities. The problem is usually existence.

Already producing with AI: start with DNA of a Prompt. The gain is immediate.

And when no diagnosis exists yet, it comes before all three. That is how the consulting work runs, and the order is not negotiable: diagnosis, then plan, then execution.

Frequently asked questions

Does semantic SEO replace traditional SEO?

It absorbs it. Titles, speed, and crawling still count, and they live in the technical SEO silo. What changes is the target: optimization stops aiming at the word and starts aiming at the meaning.

Do I have to rewrite the whole site?

Almost never. The usual path is reorganizing what exists into silos and covering the intent gaps. A full rewrite is the exception, never the rule.

Does this hold for AI as well?

It does, and that is the subject of the neighboring silo, SEO for AI. Anyone who structures meaning for Google is one step away from being citable by an AI.

Notes and sources

1. Daniel Sócrates, “AI Search Optimization”, 2026. The formulation “Google does not rank text, Google ranks the answer to the intent” is the central thesis of the book and of the SEO Genome method.
2. Google’s Content Warehouse API documentation, exposed in May 2024, including the siteFocusScore and siteRadius attributes. Handled in detail, with source and caveats, in the semantic silos article in this section.