Why keyword search falls short
Traditional search matches words. If a user asks for 'ways to lower my bill' but your page says 'reduce costs,' keyword search can miss it entirely. Semantic search compares meaning, so related ideas match even when the words differ.
That closes the gap between how people actually ask and how your content is written — fewer dead-end 'no results' pages and less rephrasing to find the obvious answer.
- Matches meaning, so synonyms and paraphrases still find the right result
- Handles natural-language questions, not just keywords
- Fewer empty 'no results found' dead ends
- Works across your site content, app data, or internal documents
- Can be combined with keyword search for the best of both
Adding it to what you already have
Semantic search runs by turning your content and each query into embeddings — numeric representations of meaning — and finding the closest matches. We build the index over your existing content and connect it to your current search box.
In practice a hybrid approach often works best: semantic matching for meaning, plus keyword matching for exact terms like product codes. We tune it against your real queries so the top results are genuinely the right ones.
- Index built over your existing content — no re-authoring needed
- Connects to your current search UI
- Hybrid keyword-plus-semantic ranking for exact terms and meaning
- Keeps the index fresh as content changes
- Tuned and tested against your real search queries
More on ai integrations
Frequently asked questions
How is this different from the search we have now?
Most existing search matches exact words. Semantic search matches meaning, so it finds the right result even when the query is phrased differently from your content. We often combine both so exact terms like SKUs still work perfectly.
Does it work for internal documents, not just a public website?
Yes. The same approach works over internal knowledge bases and document stores, and we can make retrieval permission-aware so people only see what they're allowed to.
Do we need to reorganize our content first?
Usually not. We build the search index over your content as it exists today. If we spot structural issues that hurt results, we'll point them out — but a big content overhaul isn't a prerequisite to start.