Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation (RAG) is a technique where an AI model fetches relevant documents before writing its answer, instead of relying only on what it learned in training. Most AI search products use some form of RAG.
How SaaStorm approaches it
RAG is why classic SEO still matters for AI visibility. If your page isn't retrievable, crawlable and ranking for the sub-queries an engine runs, it can't be used in the answer.
We optimise for the retrieval step first (indexation, rankings, clear passages) and the generation step second, with self-contained sections that a model can lift accurately.
Turn search visibility into pipeline
We help European SaaS teams build an organic engine across SEO, AEO and content, measured in qualified pipeline.


