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AUTOMATED ARTICLE TAGGING
Eradicates manual tagging as a workflow step
Consistent tagging logic across one article or a full archive
API-first, with a web application for configuration to fit your existing architecture

ENTITY ANALYSIS
Organisations, people, products, places and events identified without manual review
Applied consistently across a single article or your entire archive
Powers SUBJCT's linking and schema features from the same entity data

STRUCTURE
Entity-based tagging categorises your content
Custom content categorisation available
Structure your website

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.
What is automated entity tagging?
Automated entity tagging is the process of identifying and labelling the organisations, people, products, places and events within a piece of content, without a person doing it by hand. SUBJCT analyses each article as it's ingested or published and applies these tags automatically, giving your content a consistent, machine-readable structure that both search engines and AI platforms can read.
How does automated tagging improve my site's structure?
Consistent entity tags give your content archive a coherent structure rather than a patchwork of inconsistent, manually-applied labels. This structure is what SUBJCT's other features (internal linking, schema generation, entity analysis) read from, so accurate tagging underpins the site's entire AI-search readiness. Customised ‘content categorisation’ solutions are available - just speak to one of our team.
Does this replace manual tagging entirely?
Yes, it can. SUBJCT identifies and applies entity tags automatically across every article, removing tagging as a manual step in the content workflow. Your team no longer needs to review each piece and assign tags by hand, SUBJCT does it consistently, at whatever volume you publish.
What types of entities does SUBJCT tag?
SUBJCT identifies six entity types: organisations, people, products, places, events and ‘other’. These are the same categories used across SUBJCT's entity analysis and schema features, so tagging stays consistent with the rest of the platform.
Can automated tagging work across my existing content archive, not just new articles?
Yes. Automated tagging applies to your full archive as well as new content, it's not limited to articles written going forward. This is particularly relevant for legacy content that was never tagged consistently, or tagged at all. If you are migrating your content to a new CMS, SUBJCT can support that process.
Do I need to review or approve the tags SUBJCT applies?
Tags are applied automatically, but SUBJCT also surfaces the top entities in an article alongside suggested related entities you haven't yet covered. You can review these and add suggested entities into your copy to deepen topical authority, so there's a layer of visibility and control alongside the automation.
How does automated tagging relate to SUBJCT's other features?
Tagging draws on the same entity data that powers SUBJCT's internal linking and JSON-LD schema generation. Because one entity analysis feeds all three features, the tags, links and schema for a given article stay aligned rather than being generated separately and drifting out of sync.
How do I set this up, does it require developer work?
No. Automated tagging runs through the SUBJCT web application and API-first platform, and fits into your existing publishing workflow. There's no manual configuration required per article — tagging happens as part of ingestion and analysis.
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