Listen: What does an SEO do in the AI age?

Modern search engines are still retrieval engines at their core, but they are now powered by two distinct layers of artificial intelligence: the strategic agentic layer, and the user-facing interpretative layer.

The agentic layer acts as the engine's strategic decision-maker. It figures out how to best fulfill your query, deciding whether it needs to rewrite your search terms and choosing which results are worth pulling from the index. Over the next few years, this layer is set to evolve rapidly. By 2030, it will likely act as a fully-fledged personal assistant, capable of taking actions on your behalf, like making bookings, sending emails, and conducting independent research.

Once the agentic layer gathers the information, the interpretative layer takes over. This is the presentation layer, powered by generative AI. It takes the search results and synthesizes them into a single, easy-to-read response.

This hybrid setup is why calling modern search tools "generative engines" is a bit of a misnomer. At their heart, they are still retrieval engines. They do not run entirely on neural networks; instead, they still rely on traditional, high-speed indexes to find the information first. The AI is simply there to guide the search and explain the results.