V2
The content optimisation platform upgraded
For search marketers building the structural foundation that makes your content citable for AI search. Applied across your whole archive, not one page at a time.
Leading brands that work with us


















The shift is already happening
The zero-click
answer
AI answer engines resolve the question before anyone reaches your site. Brands now need to be mentioned and cited in the answer.
Keywords aren't the currency anymore
AI search doesn't rank pages by keyword density. It uses entities and content it can read as structured, credible and worth citing.
The window is open
but not indefinitely
Most brands haven't structured a single page for AI search yet. The ones who act now can become the source these platforms learn to cite.
Platform
SUBJCT is the infrastructure layer between your content team and the engines answering your buyers' questions. We automate the linking, entity tagging and schema workflows most publishing platforms were never built to run. Other tools tell you what's wrong, SUBJCT implements the fix.

Internal Linking
SUBJCT analyses your archive, chunks it into passages and finds the closest semantic matches. Anchor text and links are applied directly in the content. Article-to-article linking builds topic clusters; entity linking connects first mentions to topic pages. Links are fully editable.
Explore Internal Linking


Entity Analysis
SUBJCT maps every organisation, person, product, place and event across your archive, broken down by category so you see your topical footprint at a glance. Add competitors and get a data-backed Gap Analysis of where you're weaker, stronger, or already the authority.
Explore Entity Analysis
Schema JSON-LD
SUBJCT auto-generates entity-aware JSON-LD schema for every page, with the type assigned by content template - Article, FAQ, WebPage - rather than one blanket default. Entities are embedded and linked straight to the Google Knowledge Graph, giving AI engines an unambiguous read.
Explore Schema JSON-LD
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Editor
Your team writes the article. SUBJCT optimises it. The Editor combines prompt optimisation, entity suggestions, page templates, linking and schema JSON-LD generation in one workflow. Every article is structured and machine-readable before it's published.
Explore the Editor
Entity Tagging
SUBJCT identifies and tags every organisation, person, product, place and event automatically, across one article or a full archive. What used to be a manual, inconsistent taxonomy exercise becomes a consistent, machine-readable layer.
Explore Entity Tagging
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Value Pillars
Other tools in this category identifies opportunities. SUBJCT acts on them. Links created, schema JSON-LD generated, entities tagged across your entire archive.
API-first, with a Web App for configuration, a WordPress plugin for direct CMS integration, and an MCP server connecting SUBJCT to any MCP-compatible agent.
For publishers and brands managing bespoke integrations, large archives running into the hundreds of thousands of pages, or a migration that needs custom optimisation before go-live.
Case Studies
What does SUBJCT do?
SUBJCT automates the content-structure work that supports whether AI search engines can find, read and cite your content: internal linking, JSON-LD schema generation, entity tagging, entity analysis and prompt optimisation.
What's the difference between SEO and GEO (Generative Engine Optimisation)?
Traditional SEO optimises for rankings, clicks and sessions in classic search results. GEO optimises for whether an AI engine — ChatGPT, Perplexity, Google AI Overviews — can understand your content well enough to cite it directly in a generated answer.
Does SUBJCT generate content?
No. SUBJCT optimises the structure, tagging, linking and schema JSON-LD of content your team has already written or is creating. The words themselves stay entirely human. SUBJCT is built around human-in-the-loop content; it makes what you've written perform better, it doesn't replace the writing of it.
Does SUBJCT work with WordPress?
Yes. SUBJCT has a WordPress plugin that brings automated linking and schema generation directly into the CMS. For headless and custom CMS architectures, SUBJCT integrates via API.
How large a content archive can SUBJCT handle?
SUBJCT is built for publisher-scale volumes — from a few hundred pages to millions. Archive ingestion runs as a single automated pass via the Configuration settings or the API, so volume isn't a barrier to getting started.
Do I need to manage tagging myself?
No. SUBJCT applies entity tags automatically, with custom labelling solutions available. There's no manual coding or taxonomy work required to get a fully structured archive.
Is SUBJCT a tracking tool?
No. SUBJCT is built around optimisation, not visibility tracking — it structures your content so AI engines can read and cite it, rather than only reporting on how visible you already are.
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