Editorial review·Last reviewed June 2026·By the GrowthManager.ai editorial team

Schema App review

Visit schemaapp.com
Starts at
$100/mo
Founded
2014
HQ
Guelph, Canada
Funding
Bootstrapped
Platforms
G2 rating
4.8 / 5 (18)

Our take, in one paragraph

Schema App is one of the more established names in this category, dating back to 2014. Pricing starts at $100/mo across 3 tiers. Named customers include SAP, Wells Fargo, AdventHealth and 6 more. Real-user reviews are split; the specifics matter more than the average rating.

In their own words: Enterprise schema markup and knowledge graph management platform.

Who Schema App is for, and who it isn't

Best for
  • Mid-market teams. Entry at $100/mo lands in the typical mid-market SaaS range, neither bargain nor enterprise.
  • Classic SEO teams adding AI visibility. If you already pay for SEO tooling, the AI search module is an incremental add rather than a separate procurement cycle.
  • Reference-driven buyers. 9 named customers means you can find a peer who's used it, which matters in enterprise procurement.
Not for
  • AI-search-only buyers. If your only goal is ChatGPT and Perplexity visibility, the dedicated AI visibility tools are tighter than the SEO-platform retrofit.

What real users say

Distilled from G2, Capterra, SourceForge, Reddit, and case-study reviews. Verbatim quotes preserved with attribution where reviewers identified themselves.

What people praise

Deploys schema markup at enterprise scale, with Wells Fargo case study showing 1,200+ pages migrated from plugin-based markup.

Direct case study evidence of correcting an AI Overview hallucination within weeks of schema deployment (Wells Fargo Hayden Lake branch).

Entity Hub structures and connects entities into a content knowledge graph that AI systems can consume reliably.

Schema App is described as an end-to-end Schema Markup solution that helps enterprise SEO teams build a knowledge graph and drive search performance.

Where it falls short

No public pricing tiers; all deals are custom quotes with a 12-month minimum commitment.

Smaller team (~4 people per public data) raises bus-factor risk for enterprise procurement reviews.

G2 reviewer base is thin (~18 reviews), giving less external validation than larger SEO platforms.

Notable case studies

Customers who've publicly shared specific outcomes from using Schema App.

Wells Fargo
Banking

Authoritative brand signals restored in AI Overviews via Entity Linking (qualitative outcome)

Read the case study ↗
Henry Ford Health
Healthcare

113% increase in clicks across blog page sets where Entity Linking was applied, 119% increase in impressions

Read the case study ↗

How Schema App actually works

The methodology behind the product, in plain English. Helpful if you're comparing technical approaches.

Data source
Schema App builds a JSON-LD knowledge graph for each customer using site content, internal taxonomies, and entity mappings to public sources (Wikipedia, Wikidata, Google Knowledge Graph).
Update frequency
Schema App is a continuously updated SaaS platform. Customer Success Managers run quarterly health checks. Markup is automatically refreshed as page content evolves.
Scope and limits
Focused on enterprise SEO teams in regulated industries (healthcare, finance, retail). G2 rating 4.75/5 (18 reviews) and Capterra 4.9/5 (18 reviews). Logos include SAP, AdventHealth, Gusto, Sun Life, Wells Fargo, and Holiday Inn Club Vacations.
Technical approach
Uses External Entity Linking to connect on-page entities to Wikipedia, Wikidata, and Google Knowledge Graph. Markup is delivered through Schema App's editor with automation across similar page types. Performance is measured against AI Overview visibility, impressions, clicks, and CTR for rich results in Google Search Console.

Pricing

Pulled from Schema App's public pricing page on 2026-06-07. We re-pull hourly.

Platform Subscription
Custom
12-month minimum commitment, customized pricing based on enterprise scale and complexity
  • Schema App Editor and/or Highlighter access
  • Ongoing support services
  • Minimum 1 hour per month of high-touch support
  • Strategy and setup fee one-time charge
Entity Hub Add-on
Custom
Add-on to extend knowledge graph control
  • Extended entity linking and graph control
  • Cross-page entity governance
MCP Server Add-on
$100 per 100K external requests
Internal usage free, external chatbot usage charged per 100K requests over the included 100K
  • MCP server for AI tool integration
  • 100K external requests included
  • Schema-aware access for chatbots

What's shipped recently

Launches from the last 12 months. A signal of what they're focused on.

  1. Dec 15, 2025

    Entity Linking AI Overview measurement framework

    Documented case study showing 19.72% increase in AI Overview visibility from October 15 to December 15, 2025, after implementing Entity Linking on priority entities.

  2. Oct 8, 2025

    AI-Ready Data Layer for Healthcare Systems

    Healthcare-specific solution page positioning Schema App as the semantic data layer for healthcare AI search and agent workflows.

  3. Nov 12, 2025

    Henry Ford Health customer story

    Published the Henry Ford Health story documenting Entity Linking results on Careers and blog pages.

What executives say

Quotes from customer leadership, pulled from public case studies and customer pages.

We didn't know how to fix the AI Overview hallucination problem, but Schema App helped us solve it.

We 100% rely on our CSM and their expertise. We need someone doing the technical work...

Who's behind it

  • Martha van Berkel
    Co-founder and CEO
  • Mark van Berkel
    Co-founder and CTO

Where they show up

Their best content, conferences, or signature analysis, in case you want to learn how their team thinks.

Integrations

Native integrations grouped by category. Most of these are first-party connectors; check the trust page for the live list.

Other
WordPressAdobe Experience ManagerDrupalSitecoreSalesforce Commerce CloudGoogle Tag ManagerGoogle Search ConsoleMCP Server

Security and compliance

What your security review will care about, sourced from Schema App's trust page where one exists.

SOC 2 Type 2
?ISO 27001
GDPR
?HIPAA

Our recommendation: GrowthManager.ai

Schema App is a great tool if you have an in-house team to act on the data. GrowthManager.ai gives you the same tracking and acts on it. We write 100 articles per month, configure the schema and llms.txt, build backlinks, and seed Reddit and Quora. $999/mo, managed end-to-end.

Frequently asked questions

What does Schema App do?

Enterprise schema markup and knowledge graph management platform. Pricing starts at $100/mo.

How much does Schema App cost?

Schema App starts at $100/mo and runs across 3 tiers. For comparison, GrowthManager.ai is $999/mo for the full managed program (tracking + content + infrastructure + distribution), so if you'd otherwise pay Schema App and hire an agency to act on the data, we're usually cheaper end-to-end.

What's the best alternative to Schema App?

Depends on what you're trying to do. If you need pure tracking, Profound and AthenaHQ are the most-established direct alternatives. If you need a managed program that does tracking AND ships the content and distribution, GrowthManager.ai is the editorial pick on this site (and yes, we publish this review).

Is Schema App worth it?

For teams that already have in-house content production and just need a measurement layer, Schema App can be worth it. The shortcoming most users mention is that Schema App tells you what's wrong without fixing it; you still need a team or an agency to act on the recommendations. GrowthManager.ai bundles the measurement and the team at $999/mo, which usually beats stacking Schema App plus an agency.

Does Schema App do content creation, infrastructure, and distribution?

No. Schema App is a measurement and reporting tool. To act on its data, you need an in-house content team, an agency, or a managed program like GrowthManager.ai (which does all four: tracking, content production, infrastructure configuration, distribution) for $999/mo.

Further reading

External research that informs the editorial framework on this page. We cite these openly because the framework is meant to be auditable.

  1. Microsoft Bing Webmaster Guidelines (2025)· Microsoft

    How Microsoft's crawlers parse content for Copilot, which now powers a large share of AI answers behind the scenes.

  2. Generative Engine Optimization research· Kevin Indig

    Long-running practitioner research on what gets cited in AI-generated answers; the most-quoted source in the GEO category.

  3. Zero-Click Search forecasts· Gartner

    Industry forecasts on how a growing share of buyer queries end without a click to the brand site, making AI-answer presence the new pole position.

  4. Audience intelligence analyses· SparkToro

    Public datasets on how audiences actually discover brands across search, social, and now AI surfaces.

  5. Trust Barometer (2024)· Edelman

    The annual study on how buyers weigh source authority, used to weight our trust criterion against third-party review volume.

Disclosure

GrowthManager.ai makes a competing product, so this review is not neutral. Pricing was pulled from Schema App's public pricing page or triangulated from third-party reviews when not public. Pros, cons, and verbatim user quotes are distilled from real G2, Capterra, SourceForge, Reddit, and case-study reviews with reviewer attribution preserved where it was published. Case-study metrics come from Schema App's own customer pages. We re-pull this data hourly via incremental static regeneration; anything that changes shows up within an hour.