> ## Documentation Index
> Fetch the complete documentation index at: https://docs.get3rd.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Content

> Find out whether your pages cover the prompts that matter and whether AI models can actually read, understand, and quote them in their answers.

Content is the strongest driver of AI visibility you fully control. The **Content** area analyzes the relationship between your website and your AI visibility, in two tabs: **Coverage** (do the right pages exist?) and **Quality** (can AI extract and cite them?).

<Note>
  **Select your domains and pages first.** The content analysis works from the domains you've chosen to track and the pages you've marked as relevant. The more accurately that selection reflects your real content footprint, the better 3RD's foundation for recommending what content to create — and the fairer the benchmarking against your competitors. Manage the selection under [Monitoring settings](/workspace/monitoring-settings).
</Note>

## Content Coverage

Coverage maps your existing pages against the prompts AI is being asked. It reveals which prompts your content addresses well — and where gaps exist.

<Tip>
  Filter the coverage map to **Must-Win prompts with no matching page**. Those are your fastest wins: questions with real commercial value that you currently have no answer for. A well-structured page targeting one of these gaps is the highest-leverage content you can publish.
</Tip>

## Content Quality

Quality analyzes your owned pages for the signals that make content more likely to be cited by AI:

| Signal                           | Why it matters                                                                           |
| -------------------------------- | ---------------------------------------------------------------------------------------- |
| **Definitive statements**        | Models prefer quotable, unhedged claims ("X costs \$29/month") over vague marketing copy |
| **Readability**                  | Clear, direct prose is easier to extract accurately                                      |
| **Front-loaded key information** | Models weight what comes first — bury the lede and it gets missed                        |
| **Question–answer patterns**     | Content structured as Q\&A maps directly onto how prompts are asked                      |
| **Structured elements**          | Lists, tables, and FAQs are the easiest formats for models to lift into answers          |

Each analyzed page gets a quality breakdown showing which signals it hits and misses, and issues can be turned into [tasks](/actions/task-management).

## How the two work together

<Steps>
  <Step title="Coverage finds the missing pages">
    Prompts with no matching content → new pages to write.
  </Step>

  <Step title="Quality fixes the existing ones">
    Pages that exist but never get cited → structural improvements to make them extractable.
  </Step>

  <Step title="Crawlability makes sure AI can reach both">
    A perfect page behind a technical barrier is invisible. See [Crawlability](/drivers/crawlability).
  </Step>
</Steps>

## Related

* [Citation Share](/metrics/citation-share) — the metric your content moves
* [Crawlability](/drivers/crawlability) — technical health beneath the content