Algolia AI Search & Discovery vs Liva 7
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Nov 9, 2026 for Algolia AI Search & Discovery, Oct 13, 2026 for Liva 7.
The short answer
- Algolia AI Search & Discovery lists 25 features Liva 7’s listing doesn’t mention, including AI search, Custom CSS, Custom dashboards.
Head to head
Product search & discovery that increases conversions at scale
- United States
- Australia
- United Kingdom
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
Free
- · 10K search requests/month
- · 50K records included
- · 5K crawls/month
- · 5K recommendation requests/month
Elevate
- · 99.999% availability
- · Agentic and generative features
- · Enterprise Support plans & Enhanced SLA
- · NeuralSearch
- · Professional Services Available
- · Real-time personalization
Grow
- · 100K records, then $0.40 per 1K
- · 10K searches/mo, then $0.50 per 1K
- · Data transformation
- · Keyword search + browse
- · Manual synonyms
- · Query suggestions
Grow Plus
- · 100K records, then $0.40 per 1K
- · 10K searches/mo, then $1.75 per 1K
- · AI synonyms & ranking
- · Advanced personalization
- · Everything in Grow, plus:
- · Query categorization
Starter
- · Approvals and activity history
- · Every Liva 7 feature included
- · Intelligence and Ask Liva
- · Merchant-controlled automation
- · Performance, tests and learning
- · Product recommendations
Growth
- · Approvals and activity history
- · Every Liva 7 feature included
- · Intelligence and Ask Liva
- · Merchant-controlled automation
- · Performance, tests and learning
- · Product recommendations
Scale
- · Approvals and activity history
- · Every Liva 7 feature included
- · Intelligence and Ask Liva
- · Merchant-controlled automation
- · Performance, tests and learning
- · Recommendations, bundles and content
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureAlgolia AI Search understands shopper intent exceptionally well, providing relevant results even for complex keywords! This improves your site performance, significantly minimizes “no results”, and provides a seamless search experience for your shoppers. Save hours without having to create synonyms or manually assign categories. Impress shoppers with speed and relevance on any device.
Liva 7 turns products, customers, orders and storefront activity into one calm operating view. See what needs attention, understand why and open the next action. Ask natural questions, follow live shopper journeys, improve catalogue clarity for AI discovery, and prepare product recommendations, Smart Bundles and Smart Content. Performance connects decisions to observed results and fair tests.
- Get lightning-fast results that match exactly what the shopper wants
- Dynamically shape shopper experience by curating and personalizing results
- Maximize catalog exposure and drive upsell with AI recommendations
- Easily create and control campaigns with user-friendly merchandising tools
- Personalise every shopper's journey with AI-powered product recommendations
- Increase average order value with intelligent product bundles
- Display dynamic content and offers based on customer behaviour.
- Track influenced revenue, engagement and conversion performance.
All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure |  Algolia AI Search & Discovery |  Liva 7 |
|---|---|---|
| Detected stores | 1,367 | Not published |
| Net store change, 28 days | −29 | 0 |
| Stores added, 28 days | 28 | Not enough data |
| Big-brand share | 38% | Not enough data |
| Top store categories | Apparel & Accessories, Home & Garden, Health & Beauty | Not published |
| Top store countries | United States, Australia, United Kingdom | Not published |
Reviews
| Measure | Algolia AI Search & Discovery | Liva 7 |
|---|---|---|
| App Store rating | 3.7 ★ | Not published |
| App Store reviews | 45 | Not published |
| New reviews, 28 days | 1 | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
Pricing
| Measure | Algolia AI Search & Discovery | Liva 7 |
|---|---|---|
| Free plan | Not listed | Not listed |
| Lowest paid monthly plan | No monthly plan listed | $39/month |
| Longest free trial | Not listed | 14 days |
| Plans listed | 4 | 3 |
Listing
| Measure | Algolia AI Search & Discovery | Liva 7 |
|---|---|---|
| Shopify category rank | #34 | Not enough data |
| Shopify App Charts | #6 in Search and filters | Not on this week’s charts |
| Built for Shopify | No | No |
| Launched | Oct 28, 2016 | Jun 2, 2026 |
| Languages | 1 | 1 |
| Developer | Algolia | David Cope |
FAQ
Algolia AI Search & Discovery and Liva 7: common questions
- What features does each app list that the other doesn’t?
- Algolia AI Search & Discovery lists 25 the others don’t mention, such as AI search, Custom CSS, Custom dashboards, Custom filters. Liva 7 lists 4 the others don’t mention, such as Bundles, Cart drawer, One-click add-ons, Recommendation performance. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Nov 9, 2026 for Algolia AI Search & Discovery, Oct 13, 2026 for Liva 7; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Nov 9, 2026 for Algolia AI Search & Discovery, Oct 13, 2026 for Liva 7. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.