What is conversational commerce, and why AI site search changes everything
Conversational commerce turns the search box into a dialogue. Here is what AI site search and product recommendations do that keyword search cannot, and why long-tail queries leave money on the table.
The Sellarix team · 12 May 2026 · 2 min read

Conversational commerce is the shift from shoppers picking through filters and keywords to simply asking for what they want, in their own words, and getting a useful answer. It is the difference between a search box that matches tokens and an assistant that understands intent.
Why keyword search struggles
Traditional site search matches the words a shopper types against the words in your catalogue. It does well on exact terms and badly on everything else: long, natural queries, constraints like budget and use, and anything phrased differently from your product copy. That matters because the majority of queries are long-tail; Algolia reports that 50 to 70% of search queries are long-tail rather than head terms.
When the words do not line up, the shopper gets a wall of near-misses or, worse, a zero-result page, and many of them leave.
How AI site search works
AI site search reads the whole query, resolves intent, synonyms and constraints, and returns ranked products with reasons. Under the hood, modern systems combine semantic search (vector embeddings that capture meaning) with lexical search (exact matching for SKUs and part numbers), then re-rank against the individual shopper. The result behaves like a knowledgeable assistant rather than a filtered database.
- It understands 'something warm for foggy morning runs under fifty pounds', not just 'jacket'.
- It can ask a clarifying question when the need is broad.
- It explains why it picked each product, building trust.
- It can carry the shopper to checkout in the same conversation.
Why it changes the economics
Search is the highest-intent moment on a store. Shoppers who search convert at far higher rates than those who browse, so improving the quality of that moment compounds. Add visual search and size-and-fit guidance and you also cut the wrong-size returns that quietly erode apparel margin, something retailers are adopting AR and try-on specifically to address (CNBC, 2026).
Where to start
You do not need to replatform. Sellarix Discover and Convert adds conversational search, recommendations, visual search and fit to your existing store, on one shared data spine, so every signal compounds. See it on a real catalogue in the live demos.
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