What SEO is and how it has evolved since its origins
The term SEO emerged in the mid-1990s, when the first search engines such as Archie (1990), Yahoo! (1994) and AltaVista (1995) started indexing web pages and the first webmasters discovered that how a page was written and structured influenced whether it showed up in results. Google's arrival in 1998, with its PageRank algorithm, shifted the starting point: instead of looking only at the words on a page, Google began weighing how many other sites linked to it and with what authority.
Since then, Google has kept releasing updates that redefine what counts as good SEO. Panda (2011) penalized low-quality content and content farms. Penguin (2012) targeted manipulated or purchased links. Hummingbird (2013) let Google understand the meaning behind an entire query, not just isolated words. RankBrain (2015) introduced machine learning to interpret new or ambiguous searches. BERT (2019) improved natural language understanding, especially for long, nuanced queries. From there, Google replaced large, one-off launches with periodic Core Updates, broad revisions to the core algorithm published several times a year without a single announced target.
This shift matters for anyone doing SEO today: before Hummingbird, optimizing for one exact keyword was enough. Afterward, a topic needed to be covered in depth and had to answer the real intent behind the search. With the arrival of AI Overviews and the rise of GEO (Generative Engine Optimization) since 2024, that gap has widened further: Google and other engines now generate direct answers drawn from multiple sources, so content has to be written in a way an AI can extract and cite, on top of convincing a human reader.