Six automated layers, operating continuously. From competitive intelligence to live publication to attributed revenue: no human approval required at any stage.
The engine crawls your top competitors to identify every topic cluster they rank for that you do not. This produces a ranked content gap matrix, ordered by search intent value and refreshed weekly as the competitive landscape shifts.
Each brief is expanded into a full draft and passed through a multi-model verification chain. Every factual claim is checked against a minimum of three independent sources. Semantic triplets (subject, predicate, object) are extracted and stored as the factual backbone of the article.
Once verified, the article receives its machine-readable layer. Strata generates structured JSON-LD markup (Article, FAQPage, BreadcrumbList, and custom entity schemas) directly from the article's semantic structure. This is what makes content visible to AI answer engines, not traditional search crawlers alone.
The verified, schema-wrapped article publishes directly to your CMS via webhook or REST API. The engine handles image selection, internal link injection, and URL slug generation. No CMS login required. No copy-paste. No human in the loop.
Content decays. As new articles are published, older pieces accumulate broken links, missed opportunities, and anchor text that no longer reflects the site's semantic structure. Strata runs a link maintenance cycle on every publish: repairing broken links and injecting new contextual connections between related articles, automatically.
Every article is stamped with a unique ref_article identifier, appended to your checkout links. When a customer completes a transaction, the webhook fires back to Strata with the article that initiated the conversion. The Attribution Dashboard maps every unit of revenue to the specific piece of content that earned it.
Start the extraction. The engine runs itself.