Meaning Match Semantic Search
- Pricing
-
$7.99/month. Free trial available.
- Rating
- 0.0 (0 Reviews)
- Developer
- Jeffers-Seven Labs
Featured images gallery
Semantic search so shoppers find the matching products even when they use their own words.
Shoppers don't always use your words. Meaning Match ranks your products by meaning, using the titles, descriptions, and tags you already have, so "couch" finds your sofa and "coffee" finds your kettle. Results appear in your theme's header search dropdown as shoppers type, with keyboard and screen-reader support. Pressing Enter opens your search page with related products added. If there's no better match, your theme's own search runs as usual. Turn on one app embed; products sync automatically.
- Semantic search finds products when shoppers use different words than your title
- Works in your theme’s header search — no second search bar on the homepage
- Product scores update when catalog items change
- Falls back to your theme's own search when there's no better match
- Adds related products to your search results page
Languages
English
Categories
Search features
Display customization
Pricing
Choose the plan that best fits your business.
flat-rate $7.99/mo
$7.99 / month
or $80/year and save 17%
30-day free trial
All charges are billed in USD. Recurring and usage-based charges are billed every 30 days.
Reviews
-
0% of ratings are 5 stars
-
0% of ratings are 4 stars
-
0% of ratings are 3 stars
-
0% of ratings are 2 stars
-
0% of ratings are 1 stars
Support
App support provided by Jeffers-Seven Labs.
Data access
This app needs access to the following data to work on your store. Learn why in the developer's privacy policy .
View staff and contributor data:
Store owner
-
Store owner
Name, email address, phone number, physical address
View and edit store data:
Products, Online Store
-
View products
Products, collections
-
Edit Online Store
Online Store page content on a path controlled by the app
More apps like this
Meets our highest standards for performance, design, and integration. Learn moreOpens in new window