Queryra is an AI-powered search engine that integrates with WordPress, WooCommerce, Shopify, and custom apps via REST API. The WordPress integration is available as a free plugin on the WordPress plugin directory.

Confirmed compatible with Oxygen Classic and Oxygen 6.0.0 stable as of Queryra v1.3.2. Builder content, dynamic data, custom post types, and WooCommerce attributes are indexed out of the box.

Get the WordPress plugin • queryra.com

What Is Semantic Search?

Semantic search is not about finding exact words. It’s about finding meaning.

Default WordPress search matches keywords literally. Type laptop on a marketplace and you’ll see millions of results – laptops, but also laptop stickers, laptop cables, laptop bags, laptop stands. The search has no idea what you actually want; it just matches the string. Anyone who has used an auction site has experienced this.

Semantic search reads the intent behind the query and the meaning of the products. It returns what the customer is actually looking for, not what happens to contain the same letters.

For Oxygen sites – which often have rich custom content, dynamic data, custom post types, and templated layouts – this difference becomes critical. Default search misses everything stored outside post_content. AI semantic search reads structured meaning across the entire site.

What a Good AI Search Should Handle

Most “AI search” plugins implement a partial version of semantic matching. A complete implementation should handle the following query patterns out of the box:

Intent recognition

A query like best TV but not Sony should return the best-rated televisions in the store while excluding any Sony products. Keyword search has no concept of “best” and no concept of “not”. Semantic search reads both – the positive intent (highly-rated televisions) and the exclusion (Sony brand).

Natural language complex queries

A children’s bookstore customer types a story about a girl who visits her grandmother and meets an evil wolf, for kids. Semantic search should return Little Red Riding Hood – and also modern children’s books that follow the same theme, retellings, and similar fairy tale adaptations. The query never used the words “fairy tale” or “Red Riding Hood”, but the meaning is there.

Natural language pricing

moisturizer under $30 should parse the price constraint and filter results – not match the literal string “under $30” against product titles. Same for between $50 and $100, cheap, premium.

Brand recognition across spelling variants

If your brand is Pūra and the customer types Pura shampoo, both should return the same products. Semantic search handles diacritics, capitalization, and common misspellings – what reaches your store is intent, not exact strings.

Multilingual queries

A French customer searching crème pour le visage on an English store should still find face creams. Semantic search operates on meaning, which is language-agnostic – assuming the search engine indexes embeddings, not just text.

Live examples of these patterns: woo.queryra.com

Queryra’s Compatibility with Oxygen

Queryra v1.3.2 indexes content at the WordPress core level, using standard posts_search filters and a configurable postmeta whitelist. This architecture means it works with any builder writing to standard WordPress storage – including Oxygen. Queryra is compatible with Oxygen Classic and Oxygen 6.

What gets indexed on Oxygen sites:

• Post titles, excerpts, and taxonomies
• Builder body content (Oxygen elements, dynamic data, templated content)
• WooCommerce product attributes
• Custom post type content

Configuration: none required beyond standard Queryra setup. No conflicts with Oxygen’s rendering or templating system.

Setup

Install the Queryra plugin from the WordPress directory, complete the setup wizard, and search works automatically across your Oxygen site.

Full setup documentation: queryra.com/docs/oxygen-integration

WordPress plugin: wordpress.org/plugins/queryra-ai-search/