Melky

In 2012, Google officially unveiled the Knowledge Graph, famously announcing a fundamental shift in their mission: from matching “strings” (sequences of letters) to understanding “things” (real-world entities and their relationships).

We’ve talked about the theories and the patents from query parsing and context vectors to the origins of the Knowledge Graph.

Over the course of this series, we have journeyed through two decades of Google patents, guided by the insights from Koray Gübür.

We take it for granted now.

In 2015, Google announced RankBrain, and the SEO world was thrown into a frenzy.

Too many SEOs chase shiny new terms like “EEAT” or “Query Fan-Out,” coined by Google’s PR and product teams, to sound innovative.

If you work in SEO or digital marketing, you’ve felt it. The ground has shifted in a way that feels more fundamental than any single “core update” or the introduction of AI Overviews.

You spend hours crafting a compelling content marketing strategy, optimizing every page, and building links. But what if some of that hard work is invisible to the very search engine you’re trying to impress?

The Ground is Shifting…Again.

For years, the mantra has been drilled into us: “Find the keyword, write content for the keyword.” You spend hours in keyword research tools, identify a term with decent volume and manageable difficulty, and then craft a piece meticulously designed to rank for that specific phrase.