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.
Explore the integrations and platform features behind Yext Support Answers that help you deliver cutting-edge search experiences.
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.
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!
Takes the subject of the main case being viewed and uses semantic text search to match to other cases with semantically similar case names
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.