Samuel Silva

<p><strong>AI Search for WooCommerce</strong> 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.</p>
<p>Default WooCommerce search matches keywords. AI Search matches <em>meaning</em>. 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.</p>
<p>The result: fewer empty search pages, more products surfaced for long-tail queries, and shoppers who find what they wanted on the first try.</p>
<p>Also works with blog posts, pages, and any custom post type — so you can use the same intelligent search across your whole site.</p>
<h3>Key Features</h3>
<ul>
<li><strong>WooCommerce Product Search</strong>: 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.</li>
<li><strong>Understands Shoppers, Not Just Keywords</strong>: Semantic search means “cozy winter sweater” matches your “merino wool pullover”. Long-tail and descriptive queries stop returning empty pages.</li>
<li><strong>Cross-Lingual & Multilingual</strong>: 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.</li>
<li><strong>SKU & Attribute Matching</strong>: Customers can search by SKU fragments, attribute values, or technical specs and still find the right product.</li>
<li><strong>Smart Fallback System</strong>: 4-tier fallback ensures shoppers never hit a zero-result page — if AI search finds nothing, standard WordPress search takes over automatically.</li>
<li><strong>No OpenAI Account Required</strong>: Uses our free embedding service (up to 10,000 embeddings per site). Works out of the box for most stores.</li>
<li><strong>Bring Your Own API Key</strong>: Optionally use your own OpenAI API key for unlimited indexing.</li>
<li><strong>Bulk Embedding Generation</strong>: Index your entire existing catalog in one click, filtered by post type or category.</li>
<li><strong>Quota Management</strong>: Real-time monitoring of AI service usage and limits (v1.14.0+).</li>
<li><strong>Works Beyond Products Too</strong>: Same intelligent search for blog posts, pages, and any public custom post type.</li>
<li><strong>ACF Compatible</strong>: Index Advanced Custom Fields data for deeper product metadata search.</li>
<li><strong>Tunable Similarity Threshold</strong>: Fine-tune how strict or broad search results are, per store.</li>
<li><strong>Intelligent Caching</strong>: Fast results with automatic local caching.</li>
</ul>
<h3>Perfect For</h3>
<ul>
<li><strong>WooCommerce stores</strong> with large or varied product catalogs</li>
<li><strong>Fashion & apparel</strong> stores where shoppers describe products in their own words (“something flowy for summer”)</li>
<li><strong>Electronics & home goods</strong> stores with complex technical specs and model numbers</li>
<li><strong>Books, media, and marketplaces</strong> with thousands of titles</li>
<li><strong>International stores</strong> selling in multiple languages</li>
<li>Membership sites, knowledge bases, and directories — any content-heavy WordPress site</li>
</ul>
<h3>How It Works</h3>
<ol>
<li>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.</li>
<li>When a shopper types a search query, their query gets its own fingerprint in the same way.</li>
<li>The plugin compares the query’s fingerprint against every product’s fingerprint and returns the closest matches by meaning — not just by word overlap.</li>
<li>Results are ranked by relevance, so the products shoppers actually want appear first.</li>
<li>If no semantic matches pass the threshold, a 4-tier fallback kicks in so shoppers never hit an empty results page.</li>
</ol>
<p>Embeddings are generated automatically when you publish or update products — no manual work after setup.</p>
<h3>Learn More</h3>
<p>Visit our website for documentation, demos, and examples:<br />
<strong>https://wp-search.ai/</strong></p>
<p>Browse technical documentation, see live demos of the plugin in action, and learn best practices for AI-powered search.</p>
<h3>Usage</h3>
<ul>
<li>Your existing WooCommerce search form (and the default WordPress search) are automatically upgraded — no theme or template changes required.</li>
<li>Manage settings, switch providers, and monitor quota via the <strong>AI Search</strong> menu in your WordPress admin.</li>
</ul>
<h3>External Service</h3>
<p>This plugin connects with:</p>
<ul>
<li>OpenAI Embeddings API: https://platform.openai.com/docs/guides/embeddings</li>
<li>Custom Node.js Embedding Service</li>
</ul>
<p>Please read more here:<br />
https://platform.openai.com/docs/guides/embeddings</p>


AI Search for WooCommerce – Intelligent Product Search


Love the idea and the implementation. I'll be using this more and more on all of our Woo sites.


Works like a charm

AI-powered semantic search built for WooCommerce stores. Understands what shoppers actually want — even when they use different words than your produc …

krunalb18

<p>VecPost AI Search for Posts replaces WordPress’s default SQL LIKE search with vector-based semantic search. Instead of matching exact words, it understands the <em>meaning</em> of a search query.</p>
<p><strong>Example:</strong> A user searching “heart workouts” will find your post titled “Best cardiovascular exercises” – even though no words overlap – because the meanings are similar.</p>
<h4>How It Works</h4>
<ol>
<li>When you publish a post, the plugin sends its content to your chosen AI provider (OpenAI or Google Gemini) to generate a vector embedding – a list of numbers that represents the meaning of the text.</li>
<li>These numbers are stored in your database.</li>
<li>When a user searches, their query is also converted to numbers, and the plugin finds posts whose numbers are closest – meaning most semantically similar.</li>
</ol>
<h4>Features</h4>
<ul>
<li>Semantic search powered by OpenAI (<code>text-embedding-3-small</code> or <code>text-embedding-3-large</code>) or Google Gemini (<code>gemini-embedding-001</code>)</li>
<li>Hybrid re-ranking: combines semantic similarity with keyword matching for best results</li>
<li>Gutenberg block and shortcode <code>[vecpost_semantic_search]</code> for easy placement</li>
<li>Bulk indexer with progress bar for existing posts</li>
<li>WP-CLI support: <code>wp vecpost-semantic-search index</code>, <code>wp vecpost-semantic-search status</code>, <code>wp vecpost-semantic-search search "query"</code></li>
<li>Configurable scoring thresholds via Settings -> VecPost – AI Semantic Search for Posts</li>
<li>Automatic re-indexing when you switch embedding models</li>
<li>Results cached via WordPress object cache (Redis/Memcached compatible)</li>
</ul>
<h4>Third-Party Services</h4>
<p>This plugin sends post content to external AI APIs to generate embeddings. By using this plugin, you agree to the terms of service and privacy policies of your chosen provider:</p>
<ul>
<li><strong>OpenAI:</strong> https://openai.com/policies/privacy-policy | https://openai.com/policies/terms-of-use</li>
<li><strong>Google Gemini:</strong> https://policies.google.com/privacy | https://ai.google.dev/terms</li>
</ul>
<p>No data is sent without your API key being configured. Data is only transmitted when posts are published or during bulk indexing.</p>
<h4>Performance Note</h4>
<p>Semantic search requires loading all embeddings into PHP memory for comparison. This works well for sites with up to approximately 1,500 posts. For larger sites, a dedicated vector database (pgvector, Qdrant, or Pinecone) is recommended.</p>


VecPost AI Search for Posts

AI-powered semantic search for WordPress posts. Understands meaning, not just keywords. Powered by OpenAI or Google Gemini.

AI Search for WooCommerce – Intelligent Product Search vs VecPost AI Search for Posts