Best E-Commerce Search Software - Page 8

How Many E-Commerce Search Software Products Does G2 Track?

Total Products under this Category: 112

Category Stats (Nov 2026)

  • Average Rating: 4.58/5 (↑0.02 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Fast Simon (+3.15%) - Among all products in this category, Fast Simon recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank E-Commerce Search Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 5,600+ Authentic Reviews
  • 112+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for E-Commerce Search Software

G2 Grid® for E-Commerce Search Software plotting products by satisfaction and market presence

Highlighted products: Insider One, Doofinder, Luigi's Box, Searchanise, Bloomreach, Algolia, Constructor, and Experro.

Underlying data: [Grid® JSON](https://www.g2.com/categories/e-commerce-search/grids.json?focus%5B%5D=insider-one&focus%5B%5D=doofinder&focus%5B%5D=luigi-s-box&focus%5B%5D=searchanise&focus%5B%5D=bloomreach-bloomreach&focus%5B%5D=algolia&focus%5B%5D=constructor-io-constructor&focus%5B%5D=experro)

ThunderBar

ThunderBar is an AI site search for online stores. It understands how shoppers actually search: typos, natural phrases with price, size and colour (e.g. "sneakers under 80€", "women's sneakers size 38"), search by photo, and barcode scanning with the phone camera. Results appear as the shopper types, and can also be shown inside the store's own search and category pages, with the theme's filters and sorting. For store owners, ThunderBar shows which searches bring orders and revenue, which searches find nothing, and what customers ask for that the store does not have. It includes marketing tools such as search banners and coupons, Google Ads keywords from real searches, and Google Analytics 4 / Meta Pixel events. ThunderBar installs as a module on OpenCart 3 (including the Journal 3 theme). A WooCommerce plugin is in final testing, and any other platform connects through a product feed and a one-line script. The search window is available in Greek, English, German, French, Spanish and Italian. Plans start at €35 per month, with a 14-day free trial.

Who Is the Company Behind ThunderBar?

Upsy Shopping Helper

Upsy is an AI shopping assistant designed for SME online stores. Powered by AI, Upsy helps increase the conversion rate, average order value, & automate customer service. Upsy works on any device and is specially designed to boost sales on mobile devices. Just like a salesperson in a store, Upsy acts as a shopping helper for your e-commerce store. It guides shoppers through their buying journey, helping them find the right products, offering AI product recommendations, promotions, and FAQs.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Upsy Shopping Helper?

  • Ease of Use: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Upsy Shopping Helper?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Upsy Shopping Helper?

Vectail

Vectail is an AI-powered site search engine built for e-commerce stores that want to convert more visitors into buyers. Powered by Google Vertex AI Search for Retail, Vectail understands the real intent behind every search query. The result: fewer empty results pages, less shopper frustration, and higher conversion rates. INTEGRATION IN 1 LINE OF CODE No plugin to install, no CMS dependency, no maintenance. A single script tag is all it takes. Works on any platform: Shopify, WooCommerce, PrestaShop, or any custom-built store. KEY FEATURES - Semantic AI search powered by Google Vertex AI - Real-time autocomplete with product suggestions - Typo tolerance and fuzzy matching - Custom synonym management - Built-in analytics: total searches, click-through rate, zero-result queries, top search terms - Dashboard for e-commerce teams PRICING 14-day free trial, no credit card required. Starter €29/month - Growth €89/month - Scale €399/month.

Who Is the Company Behind Vectail?

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How it works

Vertex AI Search for retail

Organizations now have the ability to provide Google-quality search, browse and recommendations on their own digital properties, helping to increase conversions and reduce search abandonment.

Who Is the Company Behind Vertex AI Search for retail?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

ZETA SEARCH

Who Is the Company Behind ZETA SEARCH?

  • Seller: Zeta
  • Year Founded: 2015
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    2,166 employees on LinkedIn®

Zoe AI

Zoe is an AI-powered personalization platform for e-commerce and digital businesses. It enables websites to deliver real-time, hyper-personalized customer experiences – without cookies or user identifiers. Zoe is built to help increase conversions, improve product discovery, and drive loyalty through smart AI tools that adapt to each visitor’s behavior instantly. The Zoe suite includes intelligent on-site search, product recommendations, personalized listings, Zoe Copilot (AI assistant), and analytics. It is privacy-first, GDPR/ePrivacy compliant, and ready for the cookieless future. With seamless integration and flexible setup, Zoe works across all devices and channels.

Who Is the Company Behind Zoe AI?

Subhransu Sahu
SS
Researched and written by Subhransu Sahu
Updated October 3, 2024