How it works
Fill in the page's title, primary topic, target audience, intended outcome, key facts, related entities and primary sources. We emit either a hidden <aside data-ai-context> HTML block (visible to crawlers but hidden from humans) or a WebPage JSON-LD block with about, audience, mentions, abstract and citation edges. Paste the output straight into your page template.
Why context blocks lift rankings
- Zero-inference parsing. The assistant doesn't have to guess your page topic - you declare it explicitly.
- Entity scaffolding. The related-entities list seeds co-occurrence signals the retriever scores on.
- Audience match. Declaring the intended audience lets assistants filter by query intent (e.g. "for marketers" vs "for developers").
Pair with
Extract the related entities first with the entity extractor, then generate the per-passage outlines with the content outline generator. Optimize the resulting passages with the passage optimizer. Background reading: how AI assistants choose citations.