AI Tools

Zevi AI-Powered Conversion Booster

Enhancing User Engagement and Conversion with AI-Driven Search and Chat Solution


Zevi is a comprehensive AI-driven search and chat solution that caters to both Enterprises and Shopify users. This platform excels in improving business outcomes by providing an intent-focused, easy-to-integrate website search and chat experience. Zevi stands out as an effective tool to enhance user engagement and ultimately increase conversion rates.

The primary components of Zevi include a Chat Assistant named Chatscout, which offers AI-driven shopping assistance, and a Neural Search feature that empowers businesses with semantic understanding of customer queries. Additionally, Zevi provides robust Analytics capabilities to glean real-time data insights and facilitate optimized decision-making, along with advanced Merchandising tools for a tailored user experience.

Features & Benefits

Chat Assistant – Chatscout

  • Personalized Shopping Experience: Chatscout delivers personalized and conversational shopping assistance, offering customers a more engaging experience.
  • Seamless Integration: Chatscout can be seamlessly integrated into various platforms, ensuring a cohesive user journey.
  • Multilingual Support: The AI-powered assistant supports multiple languages, enabling businesses to cater to a global audience.
  • Conversational Tone Customization: Businesses can customize the conversational tone of Chatscout to align with their brand identity.
  • Prioritization at Scale: Chatscout can prioritize tasks at scale, ensuring efficient handling of user queries.

Neural Search

  • Semantic Understanding: Neural Search goes beyond traditional keyword matching, comprehending the semantic intent behind customer queries.
  • Multilingual & Vernacular Support: Businesses can serve customers in their preferred languages and dialects.
  • Contextual Search Suggestions: Neural Search provides context-aware search suggestions, enhancing the user experience.
  • Relevance-Focused Ranking: This feature ensures that search results are ranked based on relevance, leading to higher customer satisfaction.


  • Customer Insights: Zevi’s Analytics feature provides valuable insights into customer buying patterns, interests, and search behavior.
  • Conversion Tracking: Businesses can track conversions and optimize their platforms based on search-level conversion metrics.
  • Trend Visibility: Analytics offers visibility into shifting search trends, aiding businesses in staying ahead of market shifts.


  • Custom Appearance Control: Zevi empowers businesses to design search results and product rankings based on various criteria.
  • Performance-Based Ranking: Merchandising tools allow for ranking products based on performance metrics, driving better outcomes.
  • Advanced Filters: Businesses can apply advanced filters to enhance the search experience for customers.

Real-world Applications

Zevi finds relevance in a variety of industries, proving beneficial for those aiming to enhance user engagement and conversion rates. It is particularly valuable for:

  • E-commerce: Zevi empowers e-commerce platforms to provide a personalized and efficient shopping experience, leading to higher conversion rates.
  • Content Websites: For content-focused websites, Zevi’s merchandising capabilities help improve content discoverability and engagement.
  • Marketplaces: Online marketplaces can utilize Zevi to optimize search functionality, helping users find the products or services they need quickly.
  • Online Services: Businesses offering online services can benefit from Zevi’s AI-driven chat assistance to guide users through their offerings.

Zevi Scenarios

  • E-commerce Platform Enhancement:
    • Company: An established e-commerce platform.
    • Scenario: Seeking to improve user engagement and boost conversion rates.
    • Zevi Allows: Implementing Zevi’s Neural Search to provide customers with highly relevant search results, increasing the likelihood of finding desired products.
  • Content Website Optimization:
    • Company: A news website.
    • Scenario: Striving to increase reader engagement and retention.
    • Zevi Allows: Utilizing Zevi’s merchandising tools to rank content based on reader feedback, enhancing the user experience.
  • Online Marketplace Efficiency:
    • Company: A multi-vendor online marketplace.
    • Scenario: Aiming to enhance the search experience for buyers.
    • Zevi Allows: Leveraging Zevi’s Chat Assistant to provide personalized shopping assistance and ensure buyers find products efficiently.
  • Service-based Business Support:
    • Company: An online consulting platform.
    • Scenario: Looking to provide instant assistance to users.
    • Zevi Allows: Integrating Zevi’s Chat Assistant to offer AI-driven customer support and guide users through service offerings.
  • Language Diversity Management:
    • Company: A global e-commerce platform.
    • Scenario: Needing to cater to customers speaking various languages.
    • Zevi Allows: Deploying Zevi’s Multilingual Support to provide search and assistance in multiple languages, expanding the platform’s reach.
  • Conversion Rate Optimization:
    • Company: An online store.
    • Scenario: Struggling with low conversion rates.
    • Zevi Allows: Utilizing Analytics to gain insights into customer behavior and optimizing the platform accordingly to drive conversions.
  • New Product Launch Promotion:
    • Company: A fashion brand.
    • Scenario: Launching a new product line and aiming for maximum visibility.
    • Zevi Allows: Using Zevi’s merchandising tools to feature the new products prominently in search results, boosting their visibility.
  • Dynamic Pricing Management:
    • Company: A tech gadget retailer.
    • Scenario: Adjusting product rankings based on changing prices.
    • Zevi Allows: Leveraging Zevi’s Performance-Based Ranking to adjust product rankings according to dynamic pricing strategies.
  • Customer Insights for Decision-making:
    • Company: A consumer electronics manufacturer.
    • Scenario: Seeking to understand customer preferences and trends.
    • Zevi Allows: Utilizing Zevi’s Analytics to gather data on customer search behavior, aiding in informed decision-making.
  • Enhancing Mobile App Experience:
    • Company: A travel booking platform.
    • Scenario: Enhancing the mobile app’s usability for travelers.
    • Zevi Allows: Integrating Zevi’s Neural Search to provide users with quick and relevant travel options on the mobile app.

Pricing & Discount

Zevi offers a flexible pricing structure that aligns with usage:

Search$0.75 per 1000 requests/mo +1000 records
Chatscout$1.00 per 100 user messages

Frequently Asked Questions

  • Search Pricing Model: Zevi’s usage-based pricing model is determined by the number of search queries processed and records.
  • Integration: Zevi can be integrated via its Shopify App or APIs, with a swift setup process.
  • Billing: Pricing is based on the number of search requests and indexed products per month.
  • Lock-in Duration: Zevi’s integration is not associated with a lock-in duration, offering flexibility to users.
  • Support: Dedicated support is available for implementation and troubleshooting.

Chatscout FAQ

  • Chatscout Pricing: Chatscout’s pricing is calculated based on the number of user messages.
  • Customization: Chatscout’s appearance can be customized to match branding.
  • Assistant Setup: Setting up Chatscout is a quick process, depending on the desired customization.
  • Support: Dedicated support is provided for Chatscout integration.


While Zevi offers a comprehensive suite of features to enhance user engagement and conversions, there are certain limitations to be aware of:

  • Complex Implementations: Some businesses with unique requirements may require additional development for advanced integration.
  • Learning Curve: Initial setup and customization might require some learning, particularly for businesses new to AI-driven solutions.
  • Data Dependence: The accuracy of Zevi’s AI-driven functionalities relies on the quality and diversity of data fed into the system.


Potential users may have concerns regarding Zevi’s aspects such as data privacy, usability, and compatibility:

  • Data Privacy: Users might be concerned about the security of customer data, necessitating clear data protection measures.
  • Usability: Ensuring a user-friendly interface and easy integration is essential to address usability concerns.
  • Compatibility: Compatibility with various platforms and CMSs may be a concern for businesses using diverse systems.

Potential Future Developments

Based on its current trajectory, industry trends, and user needs, Zevi could explore the following future enhancements:

  • Enhanced Personalization: Further enhancing AI-driven personalization for a hyper-personalized user experience.
  • Voice Search Integration: Introducing voice search capabilities for seamless user interactions.
  • AI-Powered Recommendations: Leveraging AI to provide intelligent product recommendations to users.

In conclusion, Zevi stands as a powerful AI tool that empowers businesses to enhance user engagement and boost conversion rates. With its Neural Search, Chat Assistant, Analytics, and Merchandising features, Zevi offers a comprehensive solution for businesses aiming to optimize their online presence. While Zevi presents certain limitations and concerns, its potential future developments hold promise for further revolutionizing the AI-driven user experience.

FAQ: Neural Search

1. What is neural search?

Neural search refers to the application of deep learning and neural network models to the domain of information retrieval and search. Instead of relying on traditional rule-based or keyword matching methods, neural search systems learn representations of queries and documents to better understand user intent, context, and content. This leads to improved search relevance, accuracy, and user experience.

2. What are the benefits of neural search?

  • Neural search leverages deep learning models to better understand the context and semantics of queries, leading to more accurate search results.
  • It can capture nuances and ambiguities in natural language.
  • Adaptable to different languages and domains.
  • Improved personalization by adapting to user preferences over time.

3. What is the difference between neural search and traditional search?

Traditional search often uses keyword matching and rule-based algorithms, while neural search relies on deep learning models to understand query intent and context.

4. What is a neural search framework?

A neural search framework refers to the tools and systems that enable the development and deployment of neural search models. Examples include OpenAI’s Dense Retriever and Facebook’s FAISS.

5. What is the purpose of neural activity?

Neural activity in the biological context refers to the electrical and chemical signals that are transmitted through neurons. This activity is crucial for information processing, memory, perception, and other cognitive functions.

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