Product titles
Use clear names with information that really distinguishes products. Internal codes belong in separate identifier fields where possible.
Product titles →Academy · Lesson 3
Good search starts with product data that answers customer demand.
AI and ranking can leverage strong signals, but incomplete or inconsistent catalog data remains visible in the search experience.
Categories
A consistent taxonomy gives context to matching, filtering and analysis.
Taxonomy →Attributes
Color, size, material, application and technical characteristics make both ranking and facets more specific.
Attributes →Variants and identifiers
Capture SKUs, EANs, models and variants in such a way that exact search queries are not lost.
Identifiers →Customer language
Compare catalog language with real search terms and manage meaningful alternatives focused.
Synonyms →Data quality
Zero-result searches, unexpected filters and low CTR may be signals that important product information is missing.
Data quality audit →Practical rule
First, solve data issues that hit multiple search queries at once.
A missing attribute, wrong category, or inconsistent identifier format can affect hundreds of queries. Therefore, structural data corrections often yield more than separate query rules.