內容簡介
AI Search for WooCommerce 是一款智能產品搜尋外掛，能夠提升 WooCommerce 商店的搜尋功能。它透過理解產品的意義，幫助顧客更快找到所需商品，減少空白搜尋頁面，並改善使用者體驗。
【主要功能】
• 精準匹配：根據產品意義而非關鍵字進行搜尋
• 支援多種內容：適用於產品、部落格文章及自訂文章類型
• 三階段搜尋結果：確保顧客獲得最佳匹配結果
外掛標籤
開發者團隊
② 後台搜尋「AI Search for WooCommerce – Intelligent Product Search」→ 直接安裝（推薦）
📦 歷史版本下載
原文外掛簡介
AI Search for WooCommerce makes your store’s search actually work. When a shopper types “summer blue dress” they find your “light cotton navy sundress”. When they search “headphones for running” they find your sweat-resistant wireless earbuds — even if the word “running” isn’t anywhere in the product description.
Default WooCommerce search matches keywords. AI Search matches meaning. It reads your entire product catalog — titles, descriptions, SKUs, categories, tags, and attributes — and converts each product into a vector that captures what it actually is. When a shopper searches, the plugin finds the closest matches by meaning, not by exact word overlap.
The result: fewer empty search pages, more products surfaced for long-tail queries, and shoppers who find what they wanted on the first try.
Try it live before installing: wp-search.ai/demos runs this exact plugin on a sample store. Type your own search – or a SKU – and see the traditional results next to the AI results, side by side.
Also works with blog posts, pages, and any custom post type — so you can use the same intelligent search across your whole site.
Traditional Results First, AI Results After
AI Search never replaces the results your search already finds — it adds to them. Every search runs in three steps, in this order:
Exact matches — a query that matches a product SKU or an exact product title is always the first result.
Traditional keyword results — everything WordPress and WooCommerce search would normally find (products literally containing your search words) comes next, ranked by keyword relevance instead of publish date.
AI results — only below those, semantic matches are added: products that mean the same thing even when they use different words.
So if a shopper searches for something that literally exists in your store, they see exactly what they would see without the plugin — just better ordered. The AI layer only ever extends the results with products the traditional search missed. Installing AI Search will not change or hide the results your customers already find today.
Key Features
WooCommerce Product Search: Full product catalog indexing — titles, short and long descriptions, SKUs, categories, tags, and product attributes (size, color, material, etc.). Pre-configured defaults so you can go live in minutes.
Understands Shoppers, Not Just Keywords: Semantic search means “cozy winter sweater” matches your “merino wool pullover”. Long-tail and descriptive queries stop returning empty pages.
Traditional Results Are Never Lost: Keyword matches always rank above AI suggestions — the AI extends your search results, it never replaces them.
Cross-Lingual & Multilingual: Works with 100+ languages — Portuguese, Spanish, French, German, Greek, Arabic, Chinese, Japanese, and more. International stores get consistent search quality across every language, and an English query can still match content in other languages.
SKU & Attribute Matching: Customers can search by SKU fragments, attribute values, or technical specs and still find the right product.
Smart Fallback System: 4-tier fallback ensures shoppers never hit a zero-result page — if AI search finds nothing, standard WordPress search takes over automatically.
No OpenAI Account Required: Uses our free embedding service (up to 10,000 embeddings per site). Works out of the box for most stores.
Bring Your Own API Key: Optionally use your own OpenAI API key for unlimited indexing.
Bulk Embedding Generation: Index your entire existing catalog in one click, filtered by post type or category.
Quota Management: Real-time monitoring of AI service usage and limits (v1.14.0+).
Works Beyond Products Too: Same intelligent search for blog posts, pages, and any public custom post type.
ACF Compatible: Index Advanced Custom Fields data for deeper product metadata search.
Tunable Similarity Threshold: Fine-tune how strict or broad search results are, per store.
Intelligent Caching: Fast results with automatic local caching.
Perfect For
WooCommerce stores with large or varied product catalogs
Fashion & apparel stores where shoppers describe products in their own words (“something flowy for summer”)
Electronics & home goods stores with complex technical specs and model numbers
Books, media, and marketplaces with thousands of titles
International stores selling in multiple languages
Membership sites, knowledge bases, and directories — any content-heavy WordPress site
How It Works
Each product in your WooCommerce catalog is converted into a numeric “meaning fingerprint” (called an embedding) that captures its title, description, SKU, categories, tags, and attributes.
When a shopper searches, the plugin first pins exact SKU/title matches, then lists every traditional keyword match (what your search finds today), ranked by relevance.
The query then gets its own meaning fingerprint, which is compared against every product’s fingerprint.
The closest semantic matches are appended below the traditional results — extra products the keyword search missed, never replacements for it.
If nothing at all is found, a multi-tier fallback kicks in so shoppers never hit an empty results page.
Embeddings are generated automatically when you publish or update products — no manual work after setup.
Learn More
Visit our website for documentation, demos, and examples:
Browse technical documentation, see live demos of the plugin in action, and learn best practices for AI-powered search.
Usage
Your existing WooCommerce search form (and the default WordPress search) are automatically upgraded — no theme or template changes required.
Manage settings, switch providers, and monitor quota via the AI Search menu in your WordPress admin.
External Service
This plugin connects with:
OpenAI Embeddings API: https://platform.openai.com/docs/guides/embeddings
Custom Node.js Embedding Service
Please read more here:
https://platform.openai.com/docs/guides/embeddings
