Vector Search
Vector search finds content by comparing the meaning of a query with the meaning of documents, using embeddings, instead of matching keywords. AI retrieval systems rely on it heavily.
How SaaStorm approaches it
Vector search rewards pages that are focused and clearly on-topic. A page that mixes five loosely related themes ends up close to nothing in particular.
That's one reason we prefer one clear page per intent, tightly linked within a topic cluster, over sprawling posts that try to rank for everything.
Turn search visibility into pipeline
We help European SaaS teams build an organic engine across SEO, AEO and content, measured in qualified pipeline.


