Built for the shift from
ranking to recognition
AI Schema Gen is an AI readiness and optimization platform. We measure what AI systems can actually work out about your business from your website, show you the evidence, and fix what can be fixed. Schema markup and entity data are how we do it, not what we sell.
Why we built this
Search is changing. Google AI Mode, ChatGPT Browse, and Perplexity AI don't return a list of links, they synthesise answers and cite specific brands. The question for any business is no longer just "can I rank for this keyword?" It's "will AI search recognise and cite my brand when someone asks a relevant question?"
The answer depends on entity authority: how completely your brand is declared in structured data. sameAs links to directory profiles, knowsAbout topics declaring your expertise, a stable @id that lets search engines identify your entity across pages. These are the signals that matter, and they're the ones that schema plugins weren't helping with.
What this actually is
Four layers. Most tools in this space are one of them, sold as though it were all four.
What you get: AI readiness
Whether AI systems can find your website, read it, work out who you are, and answer questions about your business correctly. That is the thing a business owner actually cares about, and it is the thing we score.
How it is measured: the AI Readiness Framework
Four questions, weights published openly, evidence behind every finding, and five rules about what may be claimed. It is on the methodology page in full, including what we refuse to measure.
What it runs on: entity and schema intelligence
Underneath, this is entity identity, structured data and knowledge graph signals: 827 schema types, stable @id values, a connected @graph, sameAs links to your profiles elsewhere, and knowsAbout for the subjects you work in. This layer is the reason the score can be fixed rather than only reported.
What you pay for: the fixes
The check is free and stays free, including for domains you do not own. What you buy is the work: markup generated across the pages that have none, business details asked for once and published everywhere, broken references repaired, then re-read and confirmed live. Every other checker stops at the report.
How we build
We use AI to automate the genuinely tedious work: reading page content, selecting schema types, generating markup. We don't add AI features for the sake of it.
Every schema generated by AI Schema Gen is validated before it saves. @id cross-references are checked. Deprecated types are flagged. We take Google's structured data requirements seriously.
We know most WordPress sites have Yoast or Rank Math installed. That's why we suppress their schema output gracefully and work alongside every theme, page builder, and plugin.
AI Schema Gen is actively maintained and updated regularly. Every feature on the changelog was built because real users needed it. We ship, we iterate, we improve.
The company
AI Schema Gen is built and maintained by Digital Storks Ltd, a UK-based software company focused on tools that help businesses be found, understood, and cited by the next generation of search.
The WordPress plugin is published on the official WordPress.org plugin directory under the handle ai-schema-gen and has been actively maintained since its first release.
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