Conversational Search
An AI conversational search engine for ecommerce lets shoppers find products by asking in natural language — 'a waterproof jacket under $150 for hiking' — and answers like a knowledgeable associate. AI CEO powers this with answer-ready content and live catalog data, so shoppers get precise results and your products get surfaced in AI search.
Keyword search fails when shoppers describe what they want instead of naming it. Conversational search understands intent, asks clarifying questions, and recommends from your real catalog — and the same answer-ready structure helps your products get cited by ChatGPT, Perplexity, and Google AI Overviews.
Natural-language discovery for shoppers, and AI-search visibility for your store.
Shoppers describe what they want in plain language and get matched to real products — no exact keywords or filter-hunting required.
The engine interprets goals, constraints, and use cases — budget, occasion, compatibility — instead of matching strings.
Like a great associate, it asks clarifying questions and narrows to the right product, lifting conversion on hard-to-search catalogs.
Recommendations factor in the shopper's behavior and your live demand, so the best-fit and best-margin products surface first.
Schema, buyer Q&A, and answer-ready descriptions make your products citable by ChatGPT, Perplexity, and Google AI Overviews.
Every query becomes data — what shoppers want, what's missing, what converts — feeding merchandising and inventory decisions.
From install to natural-language product discovery in three steps.
Install from Shopify in one click. AI CEO syncs your products and descriptions — the knowledge the search engine answers from.
Your catalog is enriched with answer-ready content and schema so it can power conversational results and surface in AI search.
Customers ask in natural language and get precise, on-brand recommendations — while your products gain AI-search visibility.
You stay in control: Conversational search answers only from your real catalog and approved content, so recommendations stay accurate and on brand. You control the product data it draws from.
An AI conversational search engine lets shoppers find products by asking in natural language instead of typing keywords. It interprets intent — budget, use case, constraints — asks clarifying questions, and recommends from your real catalog, the way a knowledgeable store associate would.
Keyword search matches the words a shopper types against product text and fails when they describe what they want instead of naming it. Conversational search understands meaning and intent, handles complex multi-constraint queries, and guides shoppers to the right product through dialogue.
Yes. The same answer-ready content and schema that power on-site conversational search — clear descriptions, buyer Q&A, structured data — are what AI engines like ChatGPT, Perplexity, and Google AI Overviews extract and cite. Optimizing one improves the other.
It typically helps most on large or technical catalogs where shoppers struggle to find the right item. By interpreting intent and guiding to a best-fit product, conversational search reduces dead-end searches and abandoned sessions, which lifts conversion and average order value.
No manual tagging is required. AI CEO syncs your Shopify catalog automatically and structures the answer-ready content the search engine needs, so it works from your existing product data.
Give your store an AI conversational search engine that understands intent, recommends from your real catalog, and surfaces your products in AI search.
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