Resolve Cases in Record Time with Agent Desktop Search

Empower agents to drive faster case resolution as they troubleshoot customer issues at scale.


The cost of chair swiveling


Average time an agent spends understanding customer questions and searching for information


The amount of money a typical organization employing 1,000 workers wastes annually searching for, but not finding, information


of agents are unable to efficiently resolve customer issues due to disconnected systems

The Support Agent that isn’t on your payroll

Increase customer loyalty and satisfaction (CSAT)

Give your agents access to the same knowledge as your customers so that they can be partners in issue resolution.

Reduce agent attrition

Keep your agents educated and equipped with knowledge so that they feel motivated to tackle more complex cases.

Reduce case resolution times

Help your agents cut through the noise by centralizing all support data for easy retrieval, allowing them to receive direct answers instantly.

The Answers Platform

Explore the integrations and platform features behind Yext Support Answers that help you deliver cutting-edge search experiences.

App Directory Integrations

Use Yext's pre-built integrations with all the business tools and services you trust to enable search for your help articles and more.

Zendesk Guide App
Salesforce Service Cloud

Our Extractive QA algorithm searches unstructured data - such as help articles, product manuals, blog posts, and more - to return direct answers in the form of featured snippets.

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Direct Answers, Not Links

Instead of relying on keywords, we embed both search queries and FAQs in vector space and use an algorithm to determine the most relevant FAQs—no synonyms required!

Semantic Text Search

Takes the subject of the main case being viewed and uses semantic text search to match to other cases with semantically similar case names

Intelligent Case Clustering

Track the savings associated with case deflection and identify content gaps that need to be addressed. Automatically groups similar searches, even if they contain different query phrasings, to improve search at scale.

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