Glov is an AI technology company that develops intelligent products designed to help businesses improve customer engagement, ecommerce experiences and growth. Rather than offering a single general-purpose AI application, Glov operates a portfolio of specialized AI products addressing different business needs.
Its main ecommerce product is gengage.ai, an agentic commerce solution that acts as an AI-powered shopping assistant. It helps online shoppers discover suitable products through natural conversations instead of requiring them to browse large catalogs manually.
Glov also operates TheMasters.co, an expert feedback platform that connects experienced executives and domain specialists with startups seeking professional product evaluation and strategic feedback.
The company has previously presented broader ecommerce capabilities involving catalog enrichment, product information optimization, recommendations and AI-assisted merchandising. Its current website places its strongest emphasis on conversational commerce and expert knowledge.
Glov is backed by Stanford StartX and operates from Istanbul, Turkey, with a Stanford StartX presence in Menlo Park, California.
Features
Agentic Commerce
Glov’s gengage product uses conversational AI to help shoppers find products through natural interactions. Instead of searching through numerous categories and filters, customers can explain what they need and receive relevant suggestions.
Conversational Product Discovery
The AI shopping experience allows customers to describe preferences, requirements and purchasing intentions in everyday language. The system can use these conversations to guide shoppers toward appropriate products.
Personalized Recommendations
Glov’s commerce technology can provide recommendations based on the shopper’s conversation and product requirements. This creates a more guided purchasing experience than conventional catalog browsing.
Multi-Turn Conversations
The shopping assistant can maintain conversations across several interactions. Customers can refine their requirements, ask follow-up questions and compare options before deciding what to purchase.
Proactive Customer Engagement
Glov’s ecommerce technology is designed to engage shoppers during their buying journey instead of waiting for customers to find everything themselves.
Ecommerce Catalog Intelligence
Glov has developed AI capabilities for improving ecommerce catalog information. These include enriching product information and addressing missing or inconsistent product data.
AI Product Descriptions
Its ecommerce technology can use product information, specifications and other available data to assist with creating product descriptions.
Product Data Enrichment
AI can help identify and complete missing product specifications. This can be particularly useful for retailers managing large catalogs supplied by different merchants or vendors.
Smart Product Recommendations
Glov’s technology can recommend products using signals such as product characteristics, similarity and customer requirements.
Visual Optimization
The company’s ecommerce solutions have included capabilities for optimizing product visuals and experimenting with different ways of displaying products.
Bulk Ecommerce Operations
Glov has presented tools designed for retailers handling large numbers of products, allowing catalog-related operations to be performed at greater scale.
Expert Feedback Platform
Through TheMasters.co, Glov connects startups with experienced executives and industry specialists who can review SaaS products and provide strategic feedback.
Curated Expert Matching
TheMasters aims to match companies with relevant professionals based on their expertise. This can help startups receive feedback from people with practical experience in their target industry.
Paid Expert Reviews
Qualified professionals can participate in product reviews and receive compensation for providing feedback to participating companies.
How It Works
Step 1: Visit Glov
Users can visit the Glov website to understand the company’s AI products and choose the solution that matches their needs.
Step 2: Select a Product
Ecommerce businesses interested in conversational shopping can explore gengage.ai, while professionals and startups looking for expert product feedback can explore TheMasters.co.
Step 3: Integrate the Ecommerce Solution
Retailers using gengage integrate the AI shopping experience with their ecommerce environment and product catalog.
Step 4: Customers Start Conversations
Website visitors can interact with the AI assistant using natural language and explain what type of product they are looking for.
Step 5: AI Understands Customer Requirements
The system interprets customer preferences and uses available catalog information to identify relevant products.
Step 6: Receive Product Recommendations
Customers receive suggestions designed to help them narrow down their options and make more confident purchasing decisions.
Step 7: Continue the Conversation
Shoppers can ask additional questions or modify their requirements, allowing the AI assistant to refine its recommendations.
Step 8: Monitor Business Results
Retailers can evaluate how conversational engagement influences customer behaviour and ecommerce performance.
For TheMasters, startups seek relevant expert feedback, while eligible professionals can participate in product reviews and provide strategic evaluations.
Use Cases
Ecommerce Retailers
Online retailers can use Glov’s conversational commerce technology to make large product catalogs easier for customers to navigate.
Online Shoppers
Customers who are unsure which product to choose can describe their requirements conversationally and receive relevant recommendations.
Large Catalog Businesses
Retailers managing extensive product inventories can use AI-driven discovery to reduce the difficulty customers experience when navigating thousands of products.
Furniture and Home Retailers
Businesses selling products where customers frequently need help matching style, function and preferences can use conversational recommendations to guide product discovery.
Ecommerce Marketing Teams
Marketing teams can use AI-powered customer engagement to create more personalized shopping experiences and potentially improve conversion performance.
Merchandising Teams
Product and merchandising teams can benefit from AI capabilities related to catalog enrichment, product information and recommendations.
Startups
Startups can use TheMasters to obtain product feedback and validation from experienced executives and domain experts.
Business Experts
Experienced executives and specialists may use TheMasters to share professional knowledge, review SaaS products and receive compensation for eligible assignments.
Pricing
Glov does not clearly publish conventional subscription pricing for its AI products on its main official website.
The company’s ecommerce offering has been presented with a performance-oriented commercial approach, including messaging around paying for generated results rather than requiring a conventional upfront investment.
TheMasters states that participating experts can receive compensation for eligible SaaS product reviews, with amounts depending on the engagement.
Because specific current pricing for businesses is not clearly listed, organizations should contact the relevant Glov product directly for commercial details.
Pricing details are not clearly mentioned on the official website.
Strengths
One of Glov’s main strengths is its focused approach to practical AI products rather than providing a broad general-purpose AI platform.
Its conversational commerce technology addresses a common ecommerce problem: customers can struggle to find the right product when faced with large and complicated catalogs.
Natural-language product discovery can make shopping feel more like receiving assistance from a knowledgeable sales representative than using conventional search filters.
The ability to maintain multi-turn conversations allows shoppers to refine their requirements instead of restarting searches repeatedly.
Glov also has experience with ecommerce catalog intelligence, including product information enrichment and recommendations.
The company’s combination of AI-powered commerce and human expert feedback demonstrates an interesting approach to using both artificial intelligence and professional expertise for business growth.
Drawbacks
Glov’s main website currently provides relatively limited technical information about deployment options, integrations and detailed product configurations.
Transparent standard pricing is not available, which means potential business customers may need to contact the company before estimating the cost of implementation.
Its main commerce solution is primarily relevant to ecommerce businesses, so companies outside online retail may have fewer reasons to use it.
Conversational product recommendations depend heavily on the quality and completeness of the underlying product catalog. Businesses with poor product data may need additional preparation before achieving the best results.
Some capabilities previously associated with Glov’s broader ecommerce offering are not emphasized as strongly on its current website, so businesses should confirm current product availability directly before making implementation decisions.
Comparison with Other Platforms
Glov operates within the growing conversational commerce and AI shopping assistant market. It can therefore be compared broadly with ecommerce AI platforms offering product recommendations, conversational search, customer assistance and personalization.
Traditional ecommerce search tools usually rely on keywords, categories and filters. Glov’s gengage product takes a more conversational approach by allowing customers to explain what they want and refine their preferences through dialogue.
Compared with general AI chatbots, Glov is more specifically focused on product discovery and ecommerce conversion. A general chatbot may answer customer questions, while an agentic commerce platform is designed to actively guide customers through product selection.
Glov is also somewhat different from conventional ecommerce personalization platforms because conversational interaction is a central part of its approach.
Businesses should compare Glov with other platforms based on catalog size, ecommerce integrations, personalization requirements, analytics, implementation effort and pricing.
Customer Reviews and Testimonials
Glov has presented customer success stories on its official website, including ecommerce companies using its technology.
A case study involving Vivense reported improvements in ecommerce conversion and new shopper acquisition after implementing Glov’s conversational technology.
The company has also highlighted work involving Kingfisher in relation to product data accuracy and product information improvements.
These examples are company-published customer results rather than independent reviews, so prospective users should evaluate them alongside their own testing and business requirements.
Conclusion
Glov is an AI technology company focused on creating practical products for ecommerce engagement and business knowledge. Its gengage platform is particularly relevant for retailers that want to move beyond traditional search and give customers a more conversational way to discover products.
The platform may be especially useful for ecommerce businesses with large catalogs where shoppers can become overwhelmed by categories, filters and product choices. Conversational recommendations can provide a more guided experience and help customers narrow down suitable products.
Glov’s additional focus on expert feedback through TheMasters also extends its offering beyond ecommerce automation by connecting professional expertise with companies seeking product validation.
Overall, Glov is worth exploring for ecommerce retailers interested in agentic commerce, conversational product discovery and AI-assisted customer engagement, as well as startups looking for structured feedback from experienced business professionals.
