Frequently asked questions about AI Search.
From semantics and exact matches to zero-result searches, product data and evaluation of real search queries.
What is AI Search?
AI Search is a broad term for search that, in addition to classic matching techniques, can use to better interpret meaning, context and search intent.
Is AI Search the same as Semantic Search?
No. Semantic Search is one technique within a broader search approach. AI Search can also combine query understanding, exact matching, ranking and guardrails.
Are exact matches important?
Yes. SKUs, model numbers, brands and specific product names often require strong exact or lexical matching.
Can AI Reduce Search zero-result searches?
This can be done with language variation and descriptive queries, but zero-result searches can also indicate missing data or assortment. These causes require different solutions.
Is good product data still needed?
Yes. Titles, categories, attributes and identifiers remain the foundation on which matching and ranking work.
How do you measure whether AI Search works better?
Use representative query sets and combine relevant position, CTR, zero-result searches, conversion and regression tests. Measure result quality, not just the use of AI.