Exact and semantic
Protect strong SKU, brand and product matches and add semantic understanding where natural language requires it.
AI Search →Findoviq brings together search quality, AI, product data, commercial control, analytics and operations so that teams have to combine fewer loose solutions and workarounds.
Protect strong SKU, brand and product matches and add semantic understanding where natural language requires it.
AI Search →Work with query sets, relevance judgments, golden queries, and regression tests.
Search Quality →Titles, attributes, variants, identifiers, stock and indexability are explicitly included.
TaUse merchandising, campaigns and banners with measurable guardrails.
Merchandising →Make attributed and unattributed orders visible and keep store context intact.
Conversion →Combine central governance with local terminology, assortments and analytics.
International →APIs, events and operations connect to dashboards, merchandising and e-commerce workflows.
Developers →Do not compare license separate from implementation, management, infrastructure and internal capacity.
TCO →Exact matches must remain strong, while natural language and product discovery add extra range.
AI Search →Teams want to be able to adjust ranking, campaigns, synonyms and quality in a targeted manner.
Merchandising →Search behavior, product clicks and conversion must come together with clear definitions.
Analytics overview →Local context must be maintained while governance and operations can be organised centrally.
Multi-store →Use real queries, catalog data, desired workflows and the same KPI definitions. This makes the choice reproducible and less dependent on a pre-assembled demo.
Use the same queries and criteria, or discuss which parts are decisive in your situation.