Turn Every Keystroke Into a High-Converting Suggestion
Wizzy's Suggestion Optimization Agent cleans up noisy queries, generates catalog-aware suggestions, and continuously re-ranks them based on real shopper behaviour — so autocomplete always drives conversion.
Smarter suggestions. Stronger conversion.
Eight capabilities, one autonomous suggestion agent
Built to clean, generate, enrich, rank, and continuously learn from every suggestion your shoppers see.
Bad Suggestion Cleanup
Automatically detect and remove typos, junk queries, duplicates, and low-signal suggestions from your autocomplete feed.
Catalog-Aware Generation
Generate meaningful suggestions built from your actual catalog — brands, attributes, categories, and long-tail combinations.
Suggestion Data Enrichment
Enrich each suggestion with intent, product counts, category context, and synonyms so shoppers see relevant, informative previews.
Click-Tracked Positioning
Track every suggestion click and impression, then automatically re-position high-converting queries to the top of autocomplete.
On-the-Go Store Learning
Learns your storefront behaviour continuously — seasonality, campaigns, and shopper intent shifts — for adaptive merchandising.
Query Rewrite & Synonyms
Rewrite noisy or ambiguous queries into cleaner, higher-recall suggestions using catalog-tuned synonym models.
Zero-Result Suppression
Automatically hide or rewrite suggestions that lead to empty results — protecting shopper trust and reducing bounce.
Merchandising Overrides
Pin promotional queries, boost campaign keywords, or exclude sensitive terms — with automatic AI ranking underneath.
From noisy autocomplete to converting suggestions
Same shopper query. Two very different suggestion experiences.
- Typos and junk queries surfaced to shoppers
- Duplicate and SKU-style suggestions dilute results
- Static ranking — no click signals used
- Suggestions decoupled from catalog reality
- Clean, catalog-grounded suggestions only
- Enriched with intent, context & synonyms
- Ranked live by real click behaviour
- Adapts to campaigns, seasons & new stock
From noisy queries to self-optimizing suggestions
Ingest & Clean
The agent pulls historical queries and catalog data, then removes typos, junk, duplicates, and zero-result suggestions.
Generate & Enrich
Catalog-aware models generate meaningful suggestions and enrich each one with intent, category, product counts, and synonyms.
Learn & Re-rank
Live click and conversion signals continuously re-position suggestions and adapt to campaigns, seasons, and shopper behaviour.
Tuned suggestions for every commerce vertical
The agent adapts autocomplete to the queries and behaviours unique to your category.
Fashion
Surface season-driven and occasion-based queries as shoppers type — from "party dress" to "linen resort wear".
Beauty
Guide shoppers to concern-based and routine-driven queries with catalog-tuned autocomplete.
Electronics
Complete precise, spec-heavy queries and steer shoppers toward compatible accessories and bundles.
Home & Decor
Promote room- and style-based suggestions so shoppers narrow into curated collections faster.
B2B Catalogs
Complete long, technical SKU queries and route buyers into industry-specific product families.
Lifestyle & Multi-Category
Merchandise search-led promotions and cross-category bundles directly from autocomplete.
One optimized suggestion feed. Every discovery surface improved.
Suggestion Optimization is the intent layer that makes every Wizzy module smarter.
Loved by World's Leading Brands
Join 1000+ stores that trust Wizzy to power their search experience and drive revenue growth
Make every autocomplete suggestion earn its position
Deploy the Wizzy Suggestion Optimization Agent and turn noisy autocomplete into a self-learning growth channel.