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Natural-language search that needs no rules

By Ankit Minocha. Founder, Atomz. Updated May 18, 2025.

Natural-language search works when the catalog underneath is clean. Filters generate themselves from real attributes, vague queries get guided to the right product, and you do not write rules or tag products by hand.

Why rules-based search breaks

Keyword search matches strings. A shopper who types 'waterproof trail shoe, wide fit' gets nothing if those words are not in the title. Structured attributes let the search match intent instead of strings.

What changes with a readable catalog

Discovery Prompts guide a vague query to a specific result, and filters come from metafields rather than from rules you maintain. Search starts answering the question instead of returning a wall of near-misses.

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