AI Knowledge Bases
Grounded AI assistants built from your actual content, tested against wrong answers, capped with a token budget, and monitored in production.
AI assistants
Semantic Product Search & Shopping Assistants
Your store search returns zero results for queries your catalog can answer. Semantic search fixes the gap between how shoppers talk and how your product fields are written.
TL;DR
Semantic product search matches meaning instead of keywords, so misspellings, synonyms, and need-based queries return real products instead of zero results. Built catalog-aware for Shopify and WooCommerce with guided selling, quoted from $6,500 by catalog size, integrations, and selling logic, plus the standard AI-ops monitoring attach.
Why keyword search loses sales
Shoppers describe needs and catalogs describe SKUs. Keyword search demands the shopper guess your vocabulary; every failed guess is a bounce with intent. Semantic retrieval embeds both sides into meaning-space, which is why a typo or a paraphrase still lands on the right product.
Guided selling: the clarifying question
A good floor salesperson answers a vague request with a question. The assistant does the same, narrowing the catalog live from a budget or use-case question. It is the same grounded architecture as our knowledge bases, pointed at your product data.
What the quote depends on
Catalog size and cleanliness (messy product data is the real cost), integrations (inventory, variants, pricing rules), and how much selling logic you want encoded. Quoted from $6,500, fixed once written, with the monitoring attach from $497/month on the Website Management page, because catalogs change daily and the index must follow.
Where to go next
Technical Audit
An AI-readiness assessment before anything gets built.
Website Management
Predictable monthly retainers that keep your website updated, secure, backed up, and monitored, on any platform, including custom PHP/CodeIgniter applications.
Going deeper
Semantic search questions
What's semantic search versus my store's built-in search?
Built-in search matches words in product fields; semantic search matches meaning. "Something warm for camping" finds your insulated bag even though no field says warm or camping.
Does it handle typos and other languages?
Typos, yes, natively; meaning survives misspelling. Multi-language depends on catalog and model choices and gets scoped in the quote.
Will it slow my store down?
No. Retrieval runs serverless and the widget loads deferred; store speed is our other specialty, and we don't break it to add search.
How does it stay current as products change?
Scheduled re-indexing plus webhook-triggered updates for inventory and price changes, covered by the monitoring attach. A search index that lags your catalog sells ghosts.
What's the measurable outcome?
Fewer zero-result searches, higher search-to-cart conversion, and the query log itself, which tells you what shoppers wanted that you do not stock. We baseline before launch so the after is measurable.
