Zevi is an ecommerce focused site search and discovery product that aims to improve on-site findability using AI and natural language understanding, typically deployed as a search layer on storefronts, but official pricing and full feature documentation could not be verified from the main site in this run.
marketing
Category
Beginner
Difficulty
Active
Status
Web App
Type

What is Zevi?

Discover how Zevi can enhance your workflow

Zevi positions itself around improving ecommerce discovery so shoppers can find products quickly through smarter search and browsing. In practice, tools in this category provide a search index over your catalog, query understanding to handle typos and synonyms, merchandising controls to influence ranking, and analytics to show what shoppers search for and where they drop off. Zevi is commonly evaluated on how well it handles long tail queries, multi-attribute intent like color and size, and language variations that can otherwise require manual synonym curation. Because the primary website was not accessible for full verification in this run, the most responsible approach is to treat detailed feature claims and pricing as requiring confirmation from official product pages, documentation, or a vendor demo. If you plan a pilot, define a benchmark set of real queries from your store, measure search to cart impact, confirm indexing cadence, and validate integration steps for your ecommerce platform. For governance and risk, ensure query logs are handled under your privacy policy, avoid sending PII through search parameters, and confirm data retention controls. Zevi is a fit when you need better product discovery than basic platform search while keeping business control over ranking and reporting.

Key Capabilities

What makes Zevi powerful

Query relevance

Evaluate relevance on a curated query set and measure click and add to cart lift. Confirm how the system handles typos, synonyms, and attribute intent so shoppers reach correct variants reliably.

Implementation Level Professional

Merchandising rules

Apply controlled boosts for campaigns and inventory goals without breaking relevance. Define rule boundaries and review outcomes regularly so business overrides do not create misleading search results.

Implementation Level Intermediate

Search analytics

Use query and zero result reporting to find content gaps. Translate insights into catalog enrichment and synonym updates that improve discovery and reduce abandonment over time.

Implementation Level Intermediate

Storefront integration

Integrate search widgets and indexing with your ecommerce platform. Validate latency, indexing schedule, and rollback plan so the storefront remains stable during launch and iterative tuning.

Implementation Level Professional

Key Features

What makes Zevi stand out

  • Ecommerce search layer: Provide on-site search tuned for product catalogs so shoppers reach relevant items faster
  • Query understanding: Improve matching with typo tolerance and synonym handling so users find products with imperfect terms
  • Merchandising controls: Influence ranking for campaigns and inventory goals while keeping relevance as the primary signal
  • Catalog indexing: Keep search results aligned with availability and attributes through regular catalog ingestion and updates
  • Search analytics: Track queries and zero result terms to identify content gaps and optimize product data
  • Multi-language readiness: Support search behavior across markets with language-aware query handling where available
  • Integration workflow: Connect to storefront platforms and deploy search widgets with minimal disruption to theme UX
  • Evaluation by pilot: Validate on your real queries and measure conversion impact before replacing existing search

Use Cases

How Zevi can help you

  • On-site conversion lift: Improve product discovery for high intent queries and reduce bounce from poor relevance
  • Zero results reduction: Identify missing terms then add synonyms or enrich product attributes for better match
  • Campaign merchandising: Boost seasonal collections while keeping query relevance and shopper intent aligned
  • Catalog cleanup: Use analytics to find attribute gaps and improve product titles descriptions and tags for search
  • International storefront support: Handle multilingual queries and localized catalogs for regional stores and audiences
  • Customer support deflection: Help shoppers self-serve product answers by surfacing key attributes and availability
  • A B testing search: Compare baseline search to Zevi on click through and add to cart metrics
  • Mobile shopping UX: Deliver fast relevant results for short queries on mobile keyboards and small screens

Perfect For

ecommerce managers, growth marketers, performance marketers, merchandising teams, product managers for storefront UX, ecommerce developers, analytics leads, customer experience teams

Plans & Pricing

Custom pricing

Visit official site for current pricing

Quick Information

Category marketing
Pricing Model Enterprise
Last Updated 3/19/2026

Compare Zevi with Alternatives

See how Zevi stacks up against similar tools

Frequently Asked Questions

Is Zevi pricing publicly listed?
In this run the official site content could not be fully verified for pricing. Treat pricing as quote based until confirmed on an official pricing page or in a written proposal tied to your request volume and catalog size.
What data and privacy risks apply to site search?
Search logs can contain sensitive intent and occasional personal data. Ensure your privacy policy covers query logging, avoid passing PII in parameters, and confirm retention and access controls with the vendor.
What technical fit checks matter most?
Confirm your platform integration method, indexing cadence, and performance at peak traffic. Run a pilot on real queries and validate analytics accuracy before switching the default search experience.
Does Zevi offer APIs or headless deployment?
Many ecommerce search tools offer APIs or headless options, but this must be verified in official Zevi documentation. Ask for current API docs, auth model, and rate limits before planning custom builds.
How does Zevi compare to built-in platform search?
Dedicated search products typically provide better relevance controls, analytics, and merchandising. Compare on your metrics like zero results rate, search to cart rate, and time to product discovery rather than promises.

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