Know Exactly Where Your Content Has Authority, And Where It Doesn't.

Entity analysis is the process of identifying the organisations, people, products, places and events referenced across a content archive, and mapping how they relate to one another. AI search engines assess content by the entities it covers and how authoritative it is on them, not just by keywords. Entity analysis shows you what your content already covers, what it's missing, and where your topical authority is strongest.

SUBJCT analyses your ingested content archive and identifies every entity it contains, categorised into organisations, people, products, places and events. You can view entity counts by category, click into any entity to see where it appears across your archive, and export the full dataset as a CSV. The same analysis also runs live inside the editor, surfacing the top entities in an article as you write and suggesting related ones you haven't covered.

Yes. You can add competitors, either manually or via SUBJCT's suggested-competitor feature, and SUBJCT analyses their content the same way it analyses yours. A Gap Analysis then shows where you have stronger or weaker entity coverage relative to each competitor, and where you already hold topical authority. This turns competitive positioning into a data-backed view rather than a guess.

SUBJCT identifies six entity categories: organisations, people, products, places, events and ‘other’. Each category can be filtered and sorted by entity count or usage, so you can see at a glance where your archive is entity-rich and where coverage is thin.

Yes. Entity Analysis runs on content that has been ingested into SUBJCT via the Configuration settings by URL, sitemap, or a list of URLs uploaded as a spreadsheet. Once ingested, the full archive is analysed in a single pass, not sampled.

Entity Analysis is the foundation both features build on. The entities identified in an article are the same entities embedded in SUBJCT's JSON-LD schema and linked to the Google Knowledge Graph. They're also what SUBJCT's internal linking uses to connect entity mentions to relevant topic pages the first time they appear in an article. Entity coverage, schema and linking all draw from the same underlying analysis.

Yes. Entity counts and coverage data can be exported as a CSV for reporting, further analysis, or sharing outside the platform. You can also generate strategy reports based on your specific data.

Both. Marketing teams use it to understand where their brand's topical authority stands and where legacy content is underutilised. Technical SEOs and content teams use it to prioritise which entities and topics to build out next, and to validate that automated tagging and linking are targeting the right entities.