The larger a catalog or content base, the more a well-tuned search matters, because native search fails exactly where precision is needed most.
Tens of thousands of references, standardised product codes (DIN, ISO), the need to filter by dimension, material and compatibility.
Search by manufacturer reference or equivalence, tolerance for the multiple code formats each supplier uses.
Three suppliers, three reference grammars for the same part: the engine recognises all three.
20 A, 30 mA, 36 W: four quantities written in a single shape, which native search conflates.
DN20 is a diameter, PN16 a pressure: two numbers glued to two letters, never interchangeable.
Compound sizes (W32/L34), colours, materials, variants, and customers who type fast, with typos.
USB-C, IP68, 512 GB: precise technical characteristics, buried in a marketing label.
ISBN, editions, formats, collections: the same title exists in dozens of versions: the demo on this page proves it.
Vintages, estates, appellations, formats (37.5 cl, magnum): references where every digit counts.
Seven quantities across eight disciplines: a ski length, a backpack capacity in litres and a board size in one catalog.
Five digits separate a SIREN from a SIRET: two neighbouring identifiers nothing tells apart by eye.
High volumes, professional buyers who search by exact reference more than by descriptive keyword.
Articles, FAQ, knowledge base: the same typo tolerance that finds a product reference finds a badly worded question. (Try Ctrl+K on this page.)
If your customers search by reference, dimension, or variant, the engine adapts. Tell us about your catalog.