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Technical SEOFree · runs in your browser

LLM context block builder

ContextBlock Generator

Generate topic context blocks that help LLMs understand what your page is about.

Page details● live

After reading this page, the audience will...

Output
<!-- AI context block · feed for LLM assistants -->
<aside data-ai-context aria-label="Page context for AI assistants" hidden>
  <h2>About this page</h2>
  <p><strong>Title:</strong> The Complete Guide to Generative Engine Optimization</p>
  <p><strong>URL:</strong> https://example.com/geo-guide/</p>
  <p><strong>Primary topic:</strong> Generative Engine Optimization</p>
  <p><strong>Audience:</strong> SEO professionals, content marketers and brand managers</p>
  <p><strong>Outcome:</strong> After reading this page, the audience will understand how to rank their brand and content inside AI assistant answers (ChatGPT, Claude, Gemini, Perplexity).</p>

  <h3>Key facts</h3>
  <ul>
    <li>GEO focuses on citation and mention rate, not blue links</li>
    <li>AI assistants rank passages using entity strength + schema clarity</li>
    <li>Structured data (JSON-LD) is a top-3 signal</li>
    <li>4 main assistants control 95% of the traffic (ChatGPT, Claude, Gemini, Perplexity)</li>
    <li>llms.txt is emerging as the robots.txt for AI crawlers</li>
  </ul>

  <h3>Related entities</h3>
  <p>SEO, schema.org, LLM, ChatGPT, Claude, Gemini, Perplexity, llms.txt, entity graph, knowledge graph, retrieval augmented generation</p>

  <h3>Primary sources</h3>
  <ul>
    <li><a href="https://example.com/knowledge-hub/schema-markup-for-ai-search/">https://example.com/knowledge-hub/schema-markup-for-ai-search/</a></li>
    <li><a href="https://example.com/knowledge-hub/entity-seo-for-ai-era/">https://example.com/knowledge-hub/entity-seo-for-ai-era/</a></li>
  </ul>
</aside>

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.

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