Yext
Enterprise digital presence management across every place a brand appears
Yext is a digital presence platform that manages business information, listings, reviews, pages, and search experiences across hundreds of publishers, maps, apps, and voice assistants from one system of record. Built for multi-location brands and franchises, it treats the accuracy and consistency of business data everywhere it appears as a managed enterprise problem.
Overview
Yext built its business on a single insight scaled to enterprise: a brand with a thousand locations has its information scattered across hundreds of platforms it does not control, and every inconsistency costs customers. Rather than correcting listings one at a time, Yext maintains a knowledge graph of business facts and pushes them everywhere through direct publisher integrations, so a change made once is reflected across the network.
The platform has grown well beyond listings. It now covers reviews and reputation across locations, location pages generated from the same data, site search powered by the knowledge graph, and increasingly AI-driven answers where brand information feeds assistants and search experiences. That expansion follows the same logic: if the data is structured and authoritative, it should serve every surface where customers ask questions.
It is unambiguously enterprise software, with quoted annual contracts, implementation projects, and pricing per location that puts it out of reach for small businesses. The value case rests on scale and risk: for a franchise network or a regulated multi-location brand, incorrect information at a single location is both a revenue loss and a compliance concern, and doing this by hand is not an option.
Best for
Multi-location brands, franchise networks, healthcare systems, and financial institutions managing information for dozens to thousands of locations or professionals across many platforms.
Not the right fit for
- Small businesses and single locations, where the cost is disproportionate by an order of magnitude.
- Agencies serving small local clients, who need per-location economics Yext does not offer.
- Businesses wanting geo-grid rank tracking as the primary need.
- Buyers wanting self-serve purchase without a sales and implementation process.
- Organizations unwilling to commit to an annual enterprise contract.
How it works
- 1
Business information is centralized into a knowledge graph: locations, hours, services, professionals, products, and any other entity a customer might search for, structured rather than stored as flat listings.
- 2
Direct publisher integrations push that data to search engines, maps, directories, social platforms, apps, and voice assistants, with changes propagating rather than requiring resubmission.
- 3
Reviews across platforms and locations are monitored, routed, and responded to centrally, with reporting that compares performance across the network.
- 4
The same structured data powers location pages and on-site search, so a customer asking a question on the brand's own site receives the same answer as one asking a search engine.
Feature breakdown
20 features in 4 modulesKnowledge graph and listings
The structured data layer at the center.- Entity-based data model
- Locations, people, services, and products modelled as structured entities rather than flat listing records.
- Direct publisher network
- Integrations with search engines, maps, directories, apps, and voice assistants covering a very wide surface.
- Continuous synchronization
- Changes propagate automatically and overwrite third-party edits, maintaining authority over the data.
- Duplicate suppression
- Duplicate listings identified and suppressed across the publisher network at scale.
- Bulk and API management
- Thousands of locations managed programmatically rather than through an interface, which is essential at enterprise scale.
Reviews and reputation
Managing sentiment across a network.- Multi-platform review monitoring
- Reviews aggregated across sites and locations into one queue with routing and alerting.
- Response workflows
- Approval flows and templates so distributed teams respond consistently and within policy.
- Review generation
- Request campaigns to build volume and recency, both of which affect local visibility and conversion.
- Sentiment analysis
- Themes extracted across reviews to identify operational problems at specific locations.
- Location benchmarking
- Comparison across sites so underperforming locations are visible to central management.
Pages and search
Using the same data on owned properties.- Location pages
- Store and professional pages generated from the knowledge graph, always consistent with the data pushed elsewhere.
- Site search
- On-site search powered by structured entities so customers find answers rather than a list of blue links.
- Structured data markup
- Schema markup generated automatically, improving how search engines interpret brand pages.
- Landing page templates
- Consistent, brand-controlled templates deployed across locations without building each page.
- Conversion tracking
- Actions taken on location pages measured and attributed by site.
Enterprise platform
Governance for large organizations.- Role and permission management
- Central control with delegated access for franchisees or location managers within defined limits.
- Approval workflows
- Changes reviewed before publication, which matters when brand and regulatory accuracy are at stake.
- Audit trails
- Records of who changed what and when across the network.
- Analytics and reporting
- Visibility, engagement, and conversion reporting across locations and publishers.
- AI answer readiness
- Structured brand data prepared for consumption by search and assistant experiences that answer questions directly.
Use cases
4 documentedFranchise network with inconsistent local data
Individual franchisees edit their own listings and information diverges from brand standards across hundreds of locations.
Central control with delegated permissions keeps data authoritative while allowing local updates within approved limits.
Healthcare system managing provider directories
Thousands of clinicians appear across insurance directories and search platforms with inconsistent specialties and locations.
Providers modelled as entities and distributed consistently, reducing both patient confusion and compliance exposure.
Retail brand handling seasonal hours
Holiday hours across hundreds of stores must be correct everywhere or customers arrive at closed shops.
One bulk update propagates across every publisher and location page, and exceptions are managed centrally.
Financial institution answering customer questions
Branch information, services, and product answers differ between the website, search results, and third-party directories.
One knowledge graph feeds site search, location pages, and external publishers, so the answer is the same everywhere.
Pricing
from Quoted; historically several hundred dollars per location per year, rising substantially with modulesQuoted annual subscription priced per location or entity, with modules for listings, reviews, pages, and search licensed separately. Enterprise contracts with implementation; no meaningful self-serve tier.
| Plan | Price | Includes |
|---|---|---|
| Listings | Quoted per location annual |
|
| Reviews and pages | Quoted per location annual |
|
| Enterprise search and AI | Quoted annual |
|
Billing notes
- Per-location pricing means cost scales directly with network size, and multi-module deployments multiply it.
- Annual contracts are standard, and mid-term reductions in location count are rarely straightforward.
- Implementation is a project cost in time and often in professional services fees.
- Publisher network breadth is the main thing separating it from cheaper listing services, and it is the reason for the premium.
- All pricing as of August 2026 is quoted; historical figures circulating publicly should be treated as indicative only.
Value assessment: For a brand with hundreds or thousands of locations, the alternative to Yext is not a cheaper tool but a team of people manually maintaining data across platforms and failing. At that scale the platform is straightforwardly justified, particularly where wrong information carries regulatory as well as commercial cost. Below roughly the mid-market threshold the economics invert sharply, and cheaper listing services cover the essential publishers for a fraction of the price.
Strengths & limitations
Strengths
- The broadest publisher network in listing management, including maps, apps, and assistants.
- Entity-based knowledge graph handles complex structures such as providers, services, and products, not just locations.
- Central governance with delegated permissions, which is what franchise networks actually need.
- Same structured data powers external listings, location pages, and site search.
- Strong reputation management across large location networks.
- Well positioned for AI-driven answer experiences that consume structured brand data.
Limitations
- Expensive, with per-location pricing that excludes small businesses entirely.
- Annual enterprise contracts with limited flexibility.
- Implementation is a substantial project rather than a signup.
- Data authority depends on the subscription; lapsing can allow listings to drift.
- No geo-grid rank tracking or local SEO research tooling.
- Module-based licensing makes the full platform considerably more expensive than the entry quote.
Head-to-head comparisons
4 alternativesYext vs Moz Local
from From roughly $14 per location per month billed annuallyThe same core job at opposite ends of the market. Moz Local covers the essential directories for small and mid-sized businesses at a low per-location price. Yext offers a far broader publisher network, entity modelling, governance, and pages, at enterprise cost. Location count, governance requirements, and publisher breadth decide it, and for most businesses Moz Local is sufficient.
Full Yext vs Moz Local comparisonYext vs Uberall
from Quoted per location; annual contractsThe closest enterprise competitor, particularly strong in Europe where its publisher relationships and support presence are deeper. Both manage listings, reviews, and local presence across large networks. Geography often decides it, with Uberall favored by European brands and Yext by North American ones, though both operate globally.
Full Yext vs Uberall comparisonYext vs BrightLocal
from From roughly $39 per month for a small number of locationsDifferent buyers entirely. BrightLocal is an agency platform with rank tracking, citation research, and white-label reporting priced per location for small clients. Yext is enterprise presence management for large networks. An agency serving local businesses needs BrightLocal; a thousand-location brand needs Yext, and neither substitutes for the other.
Full Yext vs BrightLocal comparisonYext vs Chatmeter
from Quoted; enterprise contracts scaled by location countTwo enterprise multi-location platforms with different centres of gravity. Yext is a system of record for business facts, pushing verified data across hundreds of publishers, pages, and search surfaces. Chatmeter handles listings competently but invests in analysis, turning unstructured review and survey text into location-level operational insight. Brands whose risk is inaccurate information choose Yext; brands whose question is what customers keep complaining about choose Chatmeter. Both quote per location on annual contracts.
Full Yext vs Chatmeter comparisonImplementation & onboarding
- Setup time
- Months for a large network. Data cleansing, entity modelling, publisher verification, and governance configuration all take time before distribution begins.
- Learning curve
- Substantial for administrators, since the entity model is more powerful and more abstract than simple listing management. Location-level users typically see a restricted interface that is much simpler.
- Onboarding
- Structured implementation with professional services is standard and effectively necessary at enterprise scale.
- Migration notes
- The most important pre-migration work is data cleansing, since distributing incorrect data at scale is worse than distributing nothing. On exit, listings generally persist but stop being maintained and can be overwritten by third parties, so plan for a replacement rather than assuming permanence.
Platform, API & security
- Platforms
- Web applicationREST APIsBulk data managementPage generation and hosting
- API
- Comprehensive APIs for entities, listings, reviews, and analytics, with bulk operations designed for networks of thousands of locations.
- Compliance
- GDPRCCPASOC 2HIPAA support on qualifying arrangements
- Data residency
- Regional options for enterprise deployments.
- SSO
- SAML single sign-on with role-based delegation.
- Security notes
- The platform holds business and professional data rather than end-customer records in most deployments, though review content and provider information in regulated sectors warrant the usual data protection review.
Support & resources
- Channels
- Dedicated account managementTechnical supportProfessional services
- Documentation
- Extensive administrator and developer documentation covering the entity model, APIs, and publisher behavior.
- Community
- Established presence in enterprise marketing and franchise operations, with substantial published research on local search and answer experiences.
Company
- Founded
- 2006
- Headquarters
- New York, United States
- Ownership
- Publicly traded
- Founders
- Howard Lerman, Brian Distelburger, Brent Metz
- Employees
- ~1,000 (est. 2026)
- Funding
- Venture-backed before its initial public offering in 2017.
Timeline
- 2006Founded in New York, later focusing on managing business listings across publishers.
- 2014Establishes direct publisher integrations as the basis for authoritative listing control.
- 2017Completes an initial public offering as multi-location presence management becomes an enterprise category.
- 2020Expands into site search powered by the same knowledge graph.
- 2024Positions structured brand data as the foundation for AI-driven answer experiences.
- 2026Remains the reference enterprise platform for multi-location digital presence.
Integrations
- Google Business Profile
- Apple Maps
- Bing Places
- Salesforce
- Adobe Experience Manager
- Snowflake
- Zapier
Frequently asked questions
10 questionsWhat is Yext?
Yext is an enterprise digital presence platform. It maintains a structured knowledge graph of business information, locations, people, services, products, and distributes it across hundreds of publishers including search engines, maps, apps, and assistants, while also powering location pages, site search, and reputation management.
How much does Yext cost?
Pricing is quoted per location or entity under annual enterprise contracts, with listings, reviews, pages, and search licensed as separate modules. Costs scale directly with network size, and a multi-module deployment across many locations is a substantial annual commitment.
Is Yext worth it for a small business?
Almost never. The pricing model and implementation assume dozens to thousands of locations, and a single business can maintain accurate listings through a service costing an order of magnitude less. Yext solves a scale and governance problem that small businesses do not have.
What is the knowledge graph?
A structured model of everything about a business that customers might search for, held as entities with relationships rather than as flat listing records. It matters because a healthcare system's providers or a retailer's products are not locations, and modelling them properly lets the same data serve listings, pages, and search.
What happens to my listings if I stop paying?
They generally persist but stop being maintained, so third-party edits and data decay can reintroduce inconsistencies over time. This has been a long-standing criticism of the model, and buyers should understand that the value is continuous control rather than a permanent correction.
Yext vs Uberall: how do they compare?
Both are enterprise presence platforms with broad publisher networks. Uberall has traditionally been stronger in Europe with deeper regional publisher relationships and support; Yext is stronger in North America with a broader platform including site search. Geography and existing stack usually decide it.
Does Yext do rank tracking?
Not in the geo-grid sense that local SEO practitioners mean. It reports visibility and engagement across publishers, but businesses wanting to measure map pack position across a geographic grid need a local SEO tool such as BrightLocal alongside it.
Can franchisees update their own information?
Yes, through delegated permissions with approval workflows, which is one of the main reasons franchise networks choose it. Central brand control with bounded local editing is difficult to achieve any other way at scale, and it is a governance problem as much as a technical one.
How does it relate to AI search and assistants?
Structured, authoritative brand data is what answer experiences consume, and Yext has positioned its knowledge graph accordingly. As more customer questions are answered directly rather than through links, having correct machine-readable facts about a business matters more rather than less.
How long does implementation take?
Months for a large network, with the bulk of the effort in data cleansing and entity modelling before anything is distributed. Publishing incorrect data at scale is worse than publishing nothing, so the preparation is not optional overhead.
Editorial verdict
Yext is what listing management becomes when the problem gets large enough to be a governance question rather than an administrative one. A knowledge graph rather than flat listings, direct publisher integrations rather than aggregator submissions, and delegated permissions with approval workflows are all answers to problems that only appear at hundreds of locations, and at that scale the platform is genuinely difficult to replace. Its expansion into pages, site search, and AI answer readiness follows the same coherent logic about authoritative structured data. The pricing and implementation put it firmly out of reach of the businesses this directory usually serves, and the dependency is real: stop paying and the data eventually drifts. For enterprise networks it is the reference; for everyone else it is the wrong shape entirely.
Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.