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ViSenze Review (2026): Features, Pricing & Verdict
ViSenze is one of the most proven AI product discovery platforms at global retail scale — now part of Rezolve AI — processing over one billion search and recommendation queries per month from retailers including ASOS, H&M, Rakuten, Zalora, Myntra, Meesho, DFS and EyeBuyDirect. Its defining 2026 capability is Multi-Search: a mode that allows shoppers to combine natural language text, keywords and images in a single query to find products — rather than having to choose between text search or visual search as separate journeys. This matters because shopper intent is rarely a clean keyword or a clean image: someone who saw a jacket they liked on social media, can roughly describe its colour and style but only has a screenshot to work from, can now search with all three inputs simultaneously. The conversion gains from this richer intent signal are substantial: Zalora implemented ViSenze and recorded a 10% increase in engagement rate and 15% increase in average order value; ViSenze’s AWS Marketplace listing independently cites +30% click-through rate, +12% conversion rate and +27% average order value across deployments. Beyond search, ViSenze’s Discovery Suite covers visually similar recommendations, Shop the Look, AI-powered pairing suggestions, a conversational shopping assistant, GenAI product catalogue tagging and merchandising analytics — making it a comprehensive product discovery platform rather than a point-solution search tool. Pricing is fully custom across three tiers, with a 30-day free trial available. This is an enterprise-tier platform built for high-traffic retailers with significant catalogue volumes where product discovery quality has a measurable and direct impact on conversion and revenue.
- Best for
- Enterprise retailers needing multimodal search, visual AI recommendations and GenAI product tagging
- Scale
- 1 billion+ queries/month · ASOS, H&M, Rakuten, Zalora, Myntra clients
- Key feature
- Multi-Search: text + image + natural language in one query
- Results
- +15% AOV (Zalora) · +30% CTR · +12% CVR · +27% AOV (AWS claims)
- Pricing
- Custom — 30-day free trial available
What Is ViSenze?
ViSenze is an AI product discovery platform that enables retailers to deliver multimodal search and intelligent product recommendations. Its Discovery Suite integrates AI text search, visual search, similar product recommendations, Shop the Look, conversational shopping assistance, automated GenAI product tagging and merchandising analytics into a single platform accessible via APIs, SDKs and ecommerce platform connectors. Originally Singapore-headquartered, ViSenze is now a Rezolve AI company, extending its capabilities within a broader AI retail commerce infrastructure. The platform serves high-traffic fashion, home, electronics and general merchandise retailers who need product discovery quality at enterprise scale.
Core Features
Multi-Search — text + image + natural language combined
ViSenze’s Multi-Search is the most significant innovation in the visual search space in 2026. Traditional product discovery tools force shoppers to choose between text search (precise keywords, misses visual nuance) or image search (matches visual attributes, misses style context). Multi-Search accepts all three input types simultaneously in a single query — a shopper can upload a screenshot, add the text “but in navy blue” and phrase it as “something I can wear to a casual dinner” — and ViSenze returns results that satisfy all three constraints at once. This mirrors how shoppers actually think about products rather than requiring them to adapt to the search interface’s constraints. For retailers in fashion, home furnishings and lifestyle categories where shoppers often have visual references plus stylistic modifiers they want to apply, Multi-Search addresses a gap that neither pure text search nor pure image search can fill. Social Search extends this further — making social media posts shoppable directly, so a brand’s Instagram content becomes a discovery surface without manual product linking.
GenAI Tagging — catalogue intelligence at scale
ViSenze’s GenAI Tagging automates the enrichment of product catalogue data — applying structured, searchable attribute tags to products at scale using generative AI analysis of product images and descriptions. For retailers with large catalogues managed by small teams, the manual tagging gap creates a persistent “zero results” problem: shoppers search for attributes that exist in the product but aren’t in the metadata. GenAI Tagging reduces zero-result queries by surfacing product attributes that human taggers miss or cannot economically cover at catalogue depth. The structured attribute data it generates also powers the downstream recommendation engines, search relevance and personalisation features — making it a foundational capability that improves every other ViSenze feature simultaneously. LLM-powered conversational search is built on this enriched attribute foundation, allowing natural language queries to match correctly even when shoppers cannot articulate exact product terms.
Recommendations and Shopping Assistant
ViSenze’s recommendation engine provides multiple placement types: Visually Similar (show products that look like what the shopper is viewing), Pairing Suggestions (complementary items that work together), and Shop the Look (complete outfit or room composition recommendations). The AI Shopping Assistant allows shoppers to “ask” for personalised recommendations in natural language — describing their need (“something for a beach wedding that isn’t too formal”) and receiving curated product suggestions rather than keyword-matched search results. Myntra, one of India’s largest fashion platforms, uses ViSenze’s ‘Similar’ and ‘Look’ engines specifically to increase average order value through cross-sell and upsell recommendations driven by visual product understanding rather than collaborative filtering alone.
Scored Categories
Pricing
| Tier | Price | Notes |
|---|---|---|
| Starter / Growth / Enterprise | Custom pricing (3 tiers) | Tailored by business size, catalogue volume, query volume and features activated |
| Free trial | 30 days | Contact sales-aws@visenze.com or via visenze.com to activate |
| AWS Marketplace | Contract-based | Available via AWS Marketplace with contract/instalment payment options |
Strengths
- Multi-Search: text + image + natural language in one query — industry-first capability
- 1 billion+ queries/month — the most validated scale of any visual search platform reviewed
- ASOS, H&M, Rakuten, Zalora, Myntra tier client base
- +15% AOV documented (Zalora); +30% CTR, +12% CVR, +27% AOV (AWS claims)
- GenAI tagging reduces zero-result queries and powers all downstream recommendations
- Social Search: makes social posts shoppable without manual product linking
- 30-day free trial available
- A/B testing and merchandising analytics built in
Weaknesses
- Fully custom pricing — no published rates; requires sales engagement before cost evaluation
- Enterprise positioning — SMBs without dedicated technical teams face implementation complexity
- Initial configuration and tuning effort required before optimal results
- No dedicated mobile app
- Occasional search lag and accuracy variability reported in some market conditions
- Limited review volume on public platforms vs more mainstream tools
Verdict: 8.0 / 10 — The Scale-Proven Global Leader in Multimodal Product Discovery
ViSenze’s 8.0 reflects a platform that has earned its position through scale validation that most competitors cannot match: processing a billion queries a month for fashion retailers at the level of ASOS, H&M and Rakuten is not a feature set claim, it’s infrastructure proof. Multi-Search is a genuine innovation in 2026 — the ability to combine text, image and natural language in a single product discovery query aligns with how shoppers actually think rather than how search UIs have historically forced them to behave. The documented results (Zalora’s +15% AOV, AWS-listed platform averages) support the conversion value. The barrier is custom pricing and implementation complexity — ViSenze is built for retailers who can commit the technical and commercial resources to deploy it properly. For those retailers, it is among the most capable product discovery platforms available.
Frequently Asked Questions
What is Multi-Search and why does it matter?
Multi-Search is ViSenze’s capability to accept text, image and natural language inputs simultaneously in a single product discovery query. Traditional search forces shoppers to use either keyword text search (“navy blue blazer”) or image upload — but most real shopping intent combines both: a shopper might have a screenshot of a look they want to replicate, know they want it in a different colour, and want it suitable for a specific occasion. Multi-Search handles all three constraints at once, returning products that match the visual reference, the colour modifier and the contextual filter simultaneously. This is meaningfully different from “visual search” as typically implemented (upload image, get visually similar results) and addresses the gap between how shoppers think about products and how existing search interfaces require them to query. For fashion and lifestyle retailers in particular, where inspiration sources are increasingly social and visual rather than keyword-articulable, Multi-Search captures purchase intent that text-only or image-only search misses.
How does ViSenze compare to Syte for visual product discovery?
Both ViSenze and Syte are visual AI product discovery platforms targeting retail. ViSenze is the broader-scope platform: it serves general merchandise retailers across fashion, home, electronics and multi-category environments, processes a billion-plus queries monthly across a client base including ASOS, H&M and Rakuten, and has introduced Multi-Search as a multi-modal innovation beyond standard visual search. Syte is the fashion, home decor and jewellery specialist: it positions its 15,000+ attribute lexicon — the deepest catalogue of fashion and lifestyle attributes in the market — as its technical differentiator, enabling attribute-level search precision that general visual search cannot match for these specific categories. For a fashion-first retailer, Syte’s attribute depth may be more relevant than ViSenze’s multi-modal breadth. For a multi-category retailer, ViSenze’s broader coverage and proven scale across diverse retail verticals is typically the stronger choice. Both are enterprise-priced without published rates.
What ecommerce platforms does ViSenze integrate with?
ViSenze provides APIs, SDKs and ecommerce platform connectors for integration across both standard ecommerce platforms and custom storefronts. The platform is available via AWS Marketplace for retailers already operating within the AWS ecosystem. Initial implementation requires configuration to connect ViSenze to a retailer’s product catalogue and storefront — a process that typically involves technical resources on the retailer’s side for proper setup and performance tuning. Once integrated, the platform operates at scale without ongoing development overhead. Teams without dedicated internal technical resources should factor implementation support into their vendor evaluation — ViSenze’s sales team typically provides onboarding guidance as part of enterprise contract discussions.