by Samuel Silva
5 (5 reviews)
AI Search for WooCommerce – Intelligent Product Search
AI-powered semantic search built for WooCommerce stores. Understands what shoppers actually want — even when they use different words than your produc …
Tested up to WP 6.9.5 (Current: 7.0.1)
v1.25.0
Current Version v1.25.0
Updated 2 months ago
Last Update on 16 May, 2026
Refreshed 9 hours ago
Last Refreshed on
Rank
#16,156
—
No change
Active Installs
100+
-14.5%
KW Avg Position
55
-0.3 better
Downloads
5.2K
+11 today
Support Resolved
100%
—
No change
Rating
100%
Review 5 out of 5
5
(5 reviews)
Next Milestone 200
100+
200+
3,046
Ranks to Climb
-
Growth Needed
8,000,000
Active Installs
Pro
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Rank Changes
Current
#16,156
Change
Best
#
Downloads Growth
Downloads
Growth
Peak
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5.0
5 reviews
Overall
100%
5
5
(100%)
4
0
(0%)
3
0
(0%)
2
0
(0%)
1
0
(0%)
Tracked Keywords
Showing 3 of 3| Keyword | Position | Change | Type | Updated |
|---|---|---|---|---|
| semantic search | 5 | — | Tag | 1 day ago |
| product search | 49 | — | Tag | 1 day ago |
| AI | 111 | — | Tag | 1 day ago |
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Support Threads Overview
Resolved
Unresolved
1
Total Threads
1
Resolved
0
Unresolved
100%
Resolution Rate
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Start Tracking FreePlugin Details
- Version
- 1.25.0
- Last Updated
- May 16, 2026
- Requires WP
- 0+
- Tested Up To
- 6.9.5
- PHP Version
- 8.0 or higher
- Author
- Samuel Silva
Support & Rating
- Rating
- ★ ★ ★ ★ ★ 5
- Reviews
- 5
- Support Threads
- 1
- Resolved
- 100%
Keywords
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Frequently Asked Questions
Common questions about AI Search for WooCommerce – Intelligent Product Search
Yes. As of v1.25.0, AI Search exposes the following filters for developers: ai_search_embedding_content — Modify the text sent to the AI provider when generating embeddings. Useful for injecting taxonomy names, stripping boilerplate, or normalizing terminology. ai_search_should_generate_embedding — Return false to skip embedding generation for specific posts. Useful for excluding drafts in certain categories or low-content posts. ai_search_query_before_embedding — Rewrite the user's search query before it's embedded. Useful for synonym expansion, spell correction, or locale-specific normalization. ai_search_similarity_threshold — Override the similarity threshold per-query or per-post-type. Useful for stricter matching on products vs. looser on blog content. ai_search_results — Re-rank or filter the final search results. Useful for boosting in-stock products, hiding restricted content, or injecting pinned results. Plus existing filters: ai_search_searchable_post_types, ai_search_highlight_color, ai_search_highlight_text_color. Code examples are included in the inline PHPDoc above each filter in the plugin source.
Yes — WooCommerce is the primary use case. The plugin indexes product titles, short and long descriptions, SKUs, categories, tags, and product attributes. When you activate the plugin on a store with WooCommerce, the setup wizard automatically prioritizes products and pre-selects the most useful product fields.
Yes. SKUs are included in the product's embedding, so a shopper can type a full or partial SKU and still find the product — even when combined with natural language ("black shoes SKU-2024").
Yes. Attributes like size, color, material, and any custom attributes you configure are indexed as part of the product's searchable content. Shoppers can search by attribute values ("large cotton") and the plugin will match products with those attributes.
The plugin indexes the parent product (including its attributes and description). Individual variation-level descriptions aren't separately indexed, but since attributes like size and color are included in the parent's embedding, searches for variation-specific terms still surface the right product.
Nothing if you use our free AI Search Service (up to 10,000 embeddings per site). If you want unlimited indexing, you can use your own OpenAI API key.
The plugin logs the error and falls back to WordPress default search automatically, so shoppers never hit a broken search page.
Embeddings are automatically generated when you publish a post, page, or custom post type. You can also regenerate them manually from the post editor or bulk generate them from the settings page.
No. Embeddings are generated in the background when content is published, not during searches. Search results are fast because they use pre-computed embeddings stored in your database.
The free AI Search Service provides 10,000 embeddings per site. For unlimited usage, you can use your own OpenAI API key.