Semantic search reduces “no results found” pages, lowers bounce rates, and improves
conversions by interpreting search intent. It matches product names, descriptions, categories,
and dynamic attributes based on the words that buyers enter in the search bar.
By default, Product Discovery uses keyword-based search, which only matches exact terms. If
users don’t know the exact product name or type it differently, they can miss relevant
results.
Semantic search improves product discovery by:
Interpreting synonyms (for example, “power” also finds products described with
“energy”).
Handling variations and typos (for example, “wotches” matches “watches”).
Searching across product names, descriptions, and attributes.
Reducing “no results found” pages and increasing relevant results.
Semantic search supports up to 15 searchable fields. Three fields are fixed — product name,
product description, and category name. The remaining 12 can be configured from the
searchable fields in Index and Search Configuration, including dynamic attributes.
Semantic search helps users find what they’re looking for even when they don’t know the
exact product name or spelling. This reduces abandoned searches, surfaces relevant
alternatives, and makes the shopping experience more intuitive.
Enable Semantic Search for Product Discovery Enable Einstein semantic search in Product Discovery to interpret search intent and surface relevant results based on synonyms, variations, and attributes.
Explore Examples of Semantic Search See how Einstein semantic search improves results across different types of queries, including synonyms, abbreviations, misspellings, and product features.
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