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

# URLs

> Add the pages you want to audit. Each URL is crawled, chunked, and analyzed individually.

URLs are the core unit of a zued audit. Each URL you add is crawled, split into content chunks, scored for technical health, and tested against AI engine responses.

## Adding URLs

Add URLs from your project's URL management view.

<Info>
  URLs are re-crawled fresh with every weekly snapshot. You don't need to re-add them manually when your content changes.
</Info>

## Which URLs should you add?

zued is designed to audit the pages that AI systems directly cite when answering user queries. Prioritize pages that contain your core product, service, or expertise content — these are the pages that enter the retrieval pipeline, pass re-ranking, and get attached as citations.

### Recommended

These formats perform best in AI retrieval and citation:

* **Product and service pages** — especially with clear purpose lines, selection criteria, and testable claims
* **How-to guides** with numbered steps and direct answers
* **Comparison and "vs." pages** — AI systems frequently cite these for purchase decisions
* **FAQ pages** where each question is a heading with a direct answer in the first paragraph
* **Case studies** with before/after metrics and specific results
* **Data-driven content** with original research or statistics

### Not recommended

Pages like **impressum, about us, contact, privacy policy, terms of service**, and **career pages** are not recommended for zued audits.

These pages still hold value — they contribute to your overall domain trust, entity clarity, and E-E-A-T signals that AI models factor into their reasoning. However, they influence AI visibility **indirectly**. AI systems rarely retrieve or cite them directly in their answers to user queries.

zued measures and optimizes **direct visibility**: whether your page is retrieved, cited, and surfaced in AI-generated responses. Since legal, contact, and corporate pages almost never appear in that citation pipeline, auditing them won't produce actionable insights or move your visibility metrics.

<Tip>
  Focus your URL slots on pages you want AI systems to cite directly. The indirect trust signals from legal and corporate pages still work in the background — they just don't need to be tracked in zued.
</Tip>

## What zued does with each URL

1. **Crawls** the page using a real browser — the same way AI crawlers access your site
2. **Chunks** the content into meaningful segments that preserve the page structure
3. **Scores** the page for [Technical Health](/metrics/technical-score): bot accessibility, JS rendering, Core Web Vitals, structured data, and meta tags
4. **Maps** audit prompts to the most relevant content on your page — including prompts that span multiple URLs in your project
5. **Analyzes alignment** between AI engine responses and your content
6. **Cross-URL analysis** — for prompts targeting multiple URLs, shows how your pages work together and where the [internal linking gaps](/recommendations/cross-url-analysis) are
7. **Fact-checks** verifiable claims (prices, specs, features) against AI engine responses — showing which facts AI reproduces accurately and which it gets wrong