Semantic Search
A modern search for WooCommerce powered by AI that understands user intent and query meaning, not just keywords. Let your customers find what they really want faster!
Practical Examples
red shoes for a wedding
Traditionalno results or random products
vs
SemanticExactly red shoes suitable for a wedding
cheap laptop for work
Traditionalall laptops, no context
vs
SemanticCheap laptops optimized for office work
winter running shoes
Traditionalall running shoes
vs
SemanticRunning shoes with insulation and anti-slip sole
increase hair volume shampoo
Traditionalall shampoos or no results
vs
SemanticShampoos and conditioners dedicated to increasing hair volume
Benefits of Semantic Search
Contextual Search
AI understands the meaning of queries, not just keyword matching. A customer types 'red shoes for a wedding' and gets relevant results.
Machine Learning
The system learns from user behavior and constantly improves result relevance.
Higher Conversion
Customers find products faster, which translates into more sales and satisfaction.
Natural Language Support
The search engine understands questions asked in natural language, also in many languages.
How does Semantic Search work?
Step 1
Query analysis: AI breaks down the query into meaningful elements and recognizes user intent.
Step 2
Content vectorization: Products and queries are converted into semantic vectors, allowing for 'meaning-based' matching.
Step 3
Result ranking: Results are sorted by relevance, and the system learns from clicks and purchases.
Step 4
Personalization: The search engine can take into account user history and preferences.
Want to learn more or test Semantic Search in your store?
Contact us