Celebros AI Search & Discovery
visit →Natural Language Site Search with Machine Learning, AI, Merchandising, & AutoComplete.
Celebros parses natural-language queries on ecommerce storefronts and returns semantically matched products, with merchandising controls layered on top. Search and category pages can be tuned through virtual categories, campaigns, and visual merchandising rules without developer involvement. The tool targets mid-market retailers who have outgrown native platform search but aren't ready for Algolia or Bloomreach pricing. Merchandisers get dynamic facets, autocomplete tuning, and the ability to pin or boost SKUs per query.
> pick this if
Pick this if you're a mid-market retailer who has outgrown native platform search, needs merchandiser-controlled tuning without developer tickets, and can't justify Algolia or Bloomreach enterprise pricing.
> look elsewhere if
Look elsewhere if you need headless API-first search with documented MCP/LLM agent support, deep personalization tied to a CDP, or you're running a catalog above 500K SKUs where enterprise vendors' relevance tuning and SLAs justify the price premium.
> Celebros AI Search & Discovery is built for
- platform-agnostic
> what it does for ecommerce
- Parses natural-language queries using semantic matching and machine learning models
- Builds virtual categories and campaign pages without developer tickets
- Controls facet order, autocomplete suggestions, and search result merchandising visually
- Pins, boosts, or buries SKUs per query or segment
- Starts at $49/month, accessible to mid-market retailers
> how you'd use it
- Mid-market apparel retailer, $15M–$40M GMV, 2–4 merchandisersShopify Plus or Magento store where native search returns zero results on queries like 'black dress for wedding under $200' and merchandising requires developer tickets→ Natural-language queries resolve to relevant SKUs, and merchandisers build seasonal campaign pages and pin hero products without engineering involvement, typically lifting search conversion 10–20%
- Specialty home goods brand, $5M–$20M GMV, single-person merchandising teamReplacing platform-native search after autocomplete and facet quality plateau, but Algolia and Bloomreach quotes come in at $30K+/year→ Gets tunable autocomplete, dynamic facets, and synonym control at a fraction of enterprise search pricing, with virtual categories handling long-tail SEO landing pages
- Multi-category mid-market retailer, $25M+ GMV, 3–6 category managersRunning weekly promotions and need to boost margin SKUs or bury out-of-stock items per query segment without redeploying→ Visual merchandising rules let category managers pin, boost, or bury products per query, with campaign pages launched same-day instead of waiting for sprint cycles
> Celebros AI Search & Discovery use cases
> Celebros AI Search & Discovery key features
- Semantic Site Search with Machine Learning & AI
- Dynamic Filters, Facets & Refinements
- Advanced AutoComplete & AutoSuggest
- Visual Merchandising on Search & Collection Pages
- Virtual Categories & Campaigns
> alternatives to Celebros AI Search & Discovery in our index
by shared use-caseVespaAI-powered search engine and vector databasepaid· 2 shared
Athos CommerceTransforming ecommerce with advanced search and personalization.· 2 shared
Semrush OneEnhance brand visibility with AI-driven search insights.freemium· 2 shared
ViSenzeRevolutionize e-commerce with AI-driven smart search and insights.enterprise· 2 shared
Luigi's BoxAI-powered e-commerce search and product discovery suite.freemium· 2 shared
ShopboxThe game-changing AI sales engine, that kicks in from the very first click.paid· 2 shared
> Celebros AI Search & Discovery pairs well with
GorgiasSearch handles product discovery; Gorgias handles post-click support tickets and pre-sale chat.
eDesk ‑ AI, Helpdesk & ChatPairs on-site search with multi-channel helpdesk for mid-market retailers consolidating discovery and service.
Juphy: AI Chatbot & ChatGPTChatbot fields conversational product questions that slip past keyword search, covering the discovery gap.