Embeddings
Embeddings are numerical representations of text that capture meaning, so a system can tell that two passages are about the same thing even if they use different words. They're the basis of semantic and vector search.
How SaaStorm approaches it
Embeddings are why exact-match keywords matter less than they used to. A passage that clearly explains a concept can be retrieved for queries that never use your target phrase.
We use embedding-based analysis to find content overlap and gaps across a site, which is faster and more accurate than manual keyword mapping on large blogs.
Turn search visibility into pipeline
We help European SaaS teams build an organic engine across SEO, AEO and content, measured in qualified pipeline.


