An Ecosystem of
AI Image search
Empower customers online, in-store, or anywhere in between to find what they love, instantly and visually, with Findbar Image Search.
Let them forget the text struggles and snap a pic to discover similar products in a flash!
AI Visual Recommendations
Introducing Visual Recommendations – an innovative feature that enhances your shopping experience by showing you products similar to the ones you’re viewing.
With Findbar, finding the perfect match has never been easier!
Semantic Search provides more intelligent search results based on the meaning of the query, rather than just lexical matching. This advanced feature significantly reduces the “no results” rate, increasing the search success rate by eliminating the need for exact lexical matches.
With Semantic Search, the necessity for entering synonyms is minimized, leading to a better understanding of the free-text used by users. This enhances the overall search experience, making it more efficient and user-friendly.
Autocomplete
By providing real-time completion suggestions for the query as it is being typed, Findbar can minimize writing time and provide useful content insights.
Search as you type
No need to wait for pages to load;
Findbar renders the most relevant content right below the search bar while the user is typing.
Fuzzy search
Make every search term count:
Many users make typos, but that should not ruin their search experience; using configurable fuzzy search, Findbar’s algorithm can effectively guess what the user intended to write and serve the most relevant results.
Fallback search
Let’s face it: returning no results is not fun.
That’s why, in case of a zero-result multi-word query, Findbar can automatically create fallback queries (by selectively omitting query terms) and still serve relevant results.
Voice search
Embrace alternative input methods and take your website’s search UX to the next level: Findbar supports search query dictation, making it possible to find the desired content much faster and relevant suggestions for search term correction/alternatives during typing.
Barcode search
Provide fast access to specific products by utilizing Findbar’s innovative barcode scanning functionality.
Suggestions
Get fast and relevant suggestions for search term correction/alternatives during typing.
Scoped search
Have a huge catalog?
Findbar makes it easy to add an attribute -based scope selector to the search bar, giving the user the ability to narrow down the results in a focused manner.
Synonyms
By defining custom synonyms, you can significantly extend the discoverability of items in any catalog, minimising the data entry effort.
Behavioral ranking
Automatic adjustment of search results ranking based on search trends
and user behavior over a configurable time window.
Advanced
Marketing Tools
PRODUCT PINNING / HIDING
Not all products in a catalogue are the same. Sometimes it makes sense that certain products may need to be omitted or placed at the top of the results list.
Don’t worry, Findbar has the solution!
CAMPAIGNS
Promote your current campaign through user search!
Findbar makes it a game to add banners to results, turning every search into a buying opportunity.
LANDING PAGES
Easily create custom “Landing pages” for the promotion of products of your choice!
Through Findbar’s interface for landing pages you can even manually sort the results.
TRENDING CONTENT
Inspire your customers before they even start typing!
With Findbar’s Trending Content widget, the most popular content appears at your home page, guiding visitors toward products that are in high demand, making the browsing journey more intuitive and engaging.
Frequently Asked Questions about On-site search
AI-powered onsite search uses semantic understanding, machine learning and behavioral signals to deliver relevant results based on intent rather than exact keyword matches. It improves product findability, reduces friction and increases conversion rates compared to traditional search engines.
Keyword-based search matches exact text. Semantic search understands meaning and context. For example, a query like “comfortable office chair for back pain” can return ergonomically designed chairs even if those exact words are not used in product titles.
Yes. Through semantic AI, fuzzy logic, fallback queries, and synonym handling, Findbar significantly reduces zero-result searches and increases overall search success rates
Visual search allows users to upload or capture an image to find similar products instantly. It is particularly effective in fashion, beauty, home décor, and visually driven retail categories.
Visual recommendations use AI models to identify visual similarities in shape, color, texture, and style. This enables retailers to suggest products that closely match what users are viewing, increasing cross-selling and engagement.
Yes. Search users typically convert at significantly higher rates than browsing users. Optimizing search relevance directly increases search-driven revenue, average order value, and overall conversion rates.
Key performance indicators include:
- • Zero-result rate
• Search success rate
• Search conversion rate
• Click-through rate per query
• Revenue per search session
Findbar provides analytics tools to monitor and optimize these metrics.
Yes. Findbar integrates via API or managed by Findbar method and supports multi-store, multi-language and multi-country environments without being tied to a specific ecommerce platform
Initial integration requires technical setup. However, once deployed, merchandising and marketing teams can manage search rules, campaigns, and ranking controls independently
Yes. Teams can pin products, hide items, boost categories, run campaigns, add banners inside results, and create landing pages directly through the Findbar interface
Enterprise engines provide infrastructure and APIs. Findbar delivers a complete retail discovery & Revenue Platform, combining AI visual discovery, merchandising tools, analytics, Behavioral ranking, Dynamic boosting and UI integration into one unified Product.
Yes. Findbar supports large catalogs, complex taxonomies and categories, multi-brand structures and high query volumes while maintaining high performance and stability
