Yext Search
Yext Search is an enterprise search platform built on the Yext Knowledge Graph, designed to power locator, site, and support search experiences from a unified data model, supporting enterprise scale with multiple languages and localized experiences for consistent answers across touchpoints.
Overview
Yext Search is positioned as a managed search experience for organizations that want website and support search to deliver consistent answers that reflect a controlled source of truth. The platform is built on the Yext Knowledge Graph, which structures business information into entities, fields, and relationships, and the official product pages emphasize that this structured model helps keep answers consistent across channels. Yext highlights that a single Knowledge Graph can power locator, site, and support search experiences, which is useful when multiple teams manage overlapping content and customer questions.
The Knowledge Graph pages also describe governance features such as fine-grained roles, workflows, notifications, and auditability, plus connectors and APIs for bringing data into Yext or syncing to external systems. For global organizations, Yext states that Search supports enterprise scale, multiple languages, and localized search experiences, which matters for brands with many locations or regional content variations. Pricing for Yext Search is typically not posted as a single public number, so planning should assume a sales-led package based on entity count, features, and deployment scope.
A sensible evaluation starts with a limited set of intents and content types, then expands once analytics confirm higher answer rates and lower support friction without introducing inaccurate or outdated responses.
Key features
- Knowledge Graph foundation: Search runs on a structured knowledge graph that keeps entities and relationships consistent across experiences
- Unified experience coverage: Power locator site and support search experiences from the same data model for consistency
- Enterprise scale support: Designed to scale for global brands with localized and multilingual search experiences
- Governance workflows: Knowledge Graph governance includes roles workflows and auditability to control updates across teams
- Connectors and APIs: Bring data via pre-built apps APIs spreadsheet uploads or crawlers to keep knowledge current
- Structured updates cascade: Update once in the Knowledge Graph and changes can cascade to connected endpoints and records
- Search experience management: Manage intents content sources and presentation so answers align to business priorities
- Consistency across touchpoints: Use one managed source of truth to reduce misinformation across customer-facing channels
Best for
- Support deflection: Answer common questions on your site using structured knowledge so fewer users need tickets
- Store locator accuracy: Deliver location and service answers from one controlled model across regions and languages
- Product help search: Surface policies and troubleshooting steps consistently so customers find answers faster
- Content governance rollout: Assign roles and workflows so updates are reviewed and auditable before they go live
- Multi-location compliance: Keep regulated details like hours and policies consistent across hundreds of entities and pages
- Localization delivery: Provide localized answers and content variants for different markets while keeping core facts aligned
- Knowledge consolidation: Structure dispersed content into entities and relationships to reduce duplicates and stale pages
- Analytics iteration: Use search analytics to refine intents and content gaps and improve answer success over time
Capabilities
Site search layer
Deploy search experiences grounded in a structured Knowledge Graph so answers are consistent across pages and channels. Start with defined intents and validate results with analytics and human review for accuracy.
Knowledge Graph model
Model locations, products, services, and policies as entities and relationships. This structure improves relevance for search and helps prevent conflicting answers when different teams update content.
Governance controls
Use roles, workflows, and auditability to control updates at scale. Gate changes through approvals so regulated details and brand-critical facts remain accurate across regions.
Multilingual scale
Support global entities with localized and multilingual search experiences. Maintain region-specific variants while keeping shared facts aligned to the same structured data model.
Frequently Asked Questions
How does Yext Search pricing work?
Yext Search is built on the Yext Knowledge Graph, which structures your data as entities and relationships. This lets you power locator, site, and support search from one unified model and reduces inconsistent answers across touchpoints.
Can Yext Search handle global and multilingual needs?
Yext states that Search is built for enterprise scale and supports multiple languages and localized search experiences. Validate your languages, regions, and content model in a pilot to confirm relevance and governance workflows.
What integrations are available for syncing data?
Yext describes bringing data in via pre-built apps, APIs, spreadsheet uploads, or automated crawlers. Confirm required connectors, authentication, and update frequency, then test how changes cascade to your search experience.
What legal and risk controls should I plan for?
Treat your Knowledge Graph as a source of truth that must be governed. Use roles and approval workflows, restrict who can change regulated facts, and verify your content ownership rights and compliance obligations before syndicating answers widely.
