Use case: Conversational agent in Search

Traditional search engines struggle to interpret natural language queries, often leading to null results. This creates a frustrating search experience, especially when shoppers can't express their needs with precise keywords.

How Conversational agent helps

• Understands search intent: Conversational agent uses AI to understand natural language queries (like “housewarming gifts for an outdoorsy couple”) and recommends products based on the search intent.
• Re-engages shoppers: When there are zero results for a search query, Conversational agent offers alternative suggestions and guides customers to relevant products, encouraging catalog exploration.

Where Conversational agent appears

Conversational search prompts

AI-generated conversation prompts in the autosuggest panel to initiate a conversation with shoppers.

Suggest search filters

Show search filtering prompts in the autosuggest panel to initiate a product discovery conversation with shoppers.

Null results suggestions

Conversational agent offers contextual product suggestions when your search engine finds no results. This prevents bounces.

Example

A shopper lands on your site and searches for “birthday gift ideas for a baseball fan.” The search engine returns no results. Conversational agent steps in and offers relevant suggestions from the product catalog, like a baseball water bottle and a baseball glove keychain. The shopper clicks a product suggestion and explores the product detail page.