Schema & Structured Data

Schema App: what it does, what it costs

Enterprise schema markup as a knowledge graph — quote-only, and aimed at AI answers.

Checked 20 August 2026

What Schema App is

Schema App treats structured data as infrastructure rather than as a rich-results tactic. Its output is what it calls a content knowledge graph — your content, products and expertise connected into a machine-readable model, deployed with entity linking across an enterprise site. That is a bigger claim than "add markup to your pages", and the platform is priced and sold accordingly.

Its current positioning is explicitly about AI rather than blue links: building the semantic layer so that AI systems describe your brand as you define it rather than inferring it. Whether or not you accept the full argument, the underlying logic is sound — entity markup is how you state facts about your organisation in a form a machine does not have to guess at, and guessing is where AI misdescription comes from.

Nothing is published about price. The vendor explains its process instead: assess your goals, review existing markup and coverage, then quote based on site size, structure and complexity, including implementation, platform access and ongoing support. An Entity Hub add-on extends it with direct control over entities and their relationships. Expect enterprise figures, and expect a sales conversation before any of them.

What you can use it for

  • Deploy schema markup and entity linking across a large enterprise site
  • Build and govern a content knowledge graph
  • Define how AI systems describe your brand and products
  • Manage entities and their relationships directly with the Entity Hub add-on

The features that matter for SEO

Each one says what it does and the SEO job it serves. A vendor feature list without that second half tells you nothing you could not read on their own site.

Content knowledge graph

Connects content, products and expertise into a structured, machine-readable model rather than page-level markup.

The distinction that justifies the price. Page-level markup describes pages; a graph describes your business, which is what a machine needs to answer a question about you rather than about a document.

Entity linking at scale

Deploys markup with entity relationships across an enterprise site.

Entity linking is the part hand-written JSON-LD almost never gets right, because it requires consistency across thousands of pages rather than correctness on one.

Entity Hub

Gives direct control over entities and their relationships, as a paid add-on.

The governance layer. On a large site the question stops being what the markup says and becomes who is allowed to change it and how it stays consistent.

AI-oriented positioning

Aims the semantic layer at how AI systems and agents describe your brand.

A coherent theory — stating facts explicitly in structured form is a defensible response to models inferring them wrongly. Treat the effect on AI answers as plausible rather than measured.

The vendor's claims about AI outcomes are marketing, not evidence, and no outcome data is published.

Implementation and ongoing support included

Bundles markup implementation and continuing support into the quote.

Realistic for enterprise work, where the constraint is rarely the software and usually the deployment across a CMS nobody fully controls.

Platform and CMS deployment

Documents deployment routes including Shopify.

How the markup actually reaches the pages is the whole implementation problem, so documented CMS paths matter more than feature lists.

Pricing and limits

Starting price: Not publicly disclosed Checked 20 August 2026 Vendor’s own pricing page

Schema App does not publish figures for this product. Pricing is quote-only, so any number quoted elsewhere is somebody’s guess.

Schema App plans, as published on 20 August 2026
Plan Price What it includes
Custom Not publicly disclosed The vendor publishes its pricing process rather than any figures — a scoping conversation, a content and markup review, then a proposal. No tiers or floors are stated.
  • Priced on site size, structure and complexity
  • Includes schema markup implementation, platform access and ongoing support
Entity Hub
Add-on
Not publicly disclosed Extends the platform with direct control over entities and their relationships. Priced as an add-on; no figure is published.

Add-on rows are only ever charged on top of a plan, so they are excluded from the entry price used in the directory’s price filter.

Strengths and limitations

Strengths

  • Treats structured data as a governed data layer, not a per-page tactic
  • Entity linking and relationship management at enterprise scale
  • Implementation and ongoing support included in the engagement
  • Long-standing specialist focus rather than a bolted-on feature
  • Coherent, well-argued position on AI and entity data

Limitations

  • No pricing published at all, and no floor to budget against
  • Enterprise-only in practice — overkill for a normal site
  • Entity Hub is a separately priced add-on
  • Claimed AI visibility benefits are unmeasured
  • Free tools cover basic markup needs entirely

Who it is for, and who should skip it

Worth it if

  • Large organisations with complex content and product catalogues
  • Teams who need markup governed, not just added
  • Brands concerned about how AI systems describe them

Skip it if

  • Your site is small — a plugin or hand-written JSON-LD will do
  • You need a price before a sales conversation
  • You only want rich results, not an entity model

Alternatives to Schema App

Each one answers when it is the better choice, which is the only thing a list of competitors is useful for.

  • Google Rich Results Test Choose it when you just need to know whether your existing markup earns rich results, free.
  • Schema Markup Validator Choose it when you want to validate schema.org markup of any type, free.
  • Slim SEO Choose it when your site is WordPress and a visual schema builder covers it.
  • Rank Math Choose it when you want schema handled inside a WordPress SEO plugin.

Sources and verification

Last verified 20 August 2026 0 days ago

Plans 20 August 2026 Features 20 August 2026

What changed

  • 20 August 2026 — Carries pricingNotPublished. Unlike Conductor, which withholds prices but publishes full per-tier allowances, Schema App publishes neither — only the process by which it will quote you. That is recorded as what it is rather than summarised as a price range.

Questions

How much does Schema App cost?

The vendor does not publish it, at any level. It describes a process instead — a scoping conversation, a review of your existing markup and coverage, then a custom proposal based on your site's size, structure and complexity, including implementation and support. Expect enterprise pricing.

Do I need this, or will a plugin do?

A plugin will do if you want rich results on a normal site. Schema App is for building and governing an entity model across a large site — consistent relationships between thousands of pages, products and facts. That is a different problem, and most sites do not have it.

Does entity markup actually affect AI answers?

The logic is sound — structured data states facts explicitly rather than leaving a model to infer them, and inference is where misdescription comes from. But no outcome data is published, so treat the AI visibility benefit as a well-argued theory rather than a measured result.

Let's build your search & AI visibility blueprint

Get in touch to see if I can help you.

Tell me about your SaaS, your current search visibility and the growth number you care about. You will get a straight answer on whether SEO and AI search can move your numbers, and a personalised blueprint if they can. If they cannot, I will say so.

Free SaaS search & AI visibility blueprint

Opportunity map, keyword gaps, AI visibility baseline, technical priorities and a 90-day plan.

You work with me, not an account manager

The person who audits your site is the person who ships the strategy.

Reported against revenue

Signups, trials, MRR and AI share-of-voice, not impressions.

An honest yes or no

I only take on SaaS companies I believe I can get results for.