Delight Customers and Deflect Tickets with Help Site Search
Enable customers to find instant answers to their support questions via FAQs, guides, tutorials, videos, ebooks, manuals, and more
Offer support the way your customers want it
63%
of customers always or almost always start with a search on a company’s online resources when they have an issue
81%
of all customers attempt to take care of matters themselves before reaching out to a live representative
85%
Of customer service interactions will start with self-service by 2022, up from 48% in 2019
90%
Of your FAQs could be answered by direct answers
75%
click through rate of searches for “Remote Support” and “Remote Help”
Answer support questions before they become support tickets
Improve case deflection
Lift the burden on your support team — and your budget — and empower customers to self-serve with a cutting-edge search experience on your help site.
Increase customer satisfaction (CSAT)
Build strong brand loyalty by delivering a superior CX that provides direct answers to your customers' questions.
Anticipate customer intent
Granular data on how and what your customers search for unlocks new intelligence that allows you to recommend answers based on what has historically solved customer problems.
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.
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.
Queries multiple data sources and aggregates the results in one unified experience. Integrates with third-party systems to return even more results to customers, all in one place.
Machine learning automatically reranks results based on user engagement data.
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.
