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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.

When multiple pages cover the same topic — a buying guide, individual product pages, and a category listing — zued groups them into a topic cluster and analyzes how your pages work as an ensemble.

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How it works

During prompt generation, zued groups related URLs into topic clusters based on shared themes. Each prompt targets a single URL, but topic clusters reveal how your pages collectively cover what AI engines tell users about a topic. For each topic cluster, zued:
  1. Analyzes each URL individually — matching content chunks, running coverage analysis per AI engine
  2. Aggregates across URLs — producing a unified view of how well your URL ensemble covers the topic
  3. Identifies gaps — topics that AI engines discuss but none of your pages address
Each URL’s individual coverage score is calculated independently. Cross-URL analysis is an additional layer on top — it doesn’t replace per-URL analysis, it enriches it.

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What you see

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On each URL’s detail page

A Cross-URL Context section appears when the URL is part of a topic cluster with multiple pages. For each related analysis:
  • This page’s coverage — score, gaps, and a specific improvement suggestion
  • Other pages in the cluster — clickable links to each URL’s detail view, with their coverage scores
  • Internal linking gaps — which pages should link to each other but don’t
  • Cross-URL recommendation — what to change across pages so your content covers the topic comprehensively

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In Domain Analytics

A Cross-URL Insights panel groups analyses by topic cluster. Each cluster shows:
  • All URLs with their page types, chunk excerpts, and coverage scores
  • Internal linking gaps between pages (e.g., “Guide should link to PDP”)
  • A unified cross-URL recommendation
  • Ensemble gaps — topics that none of your pages cover

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Content coverage score

Each topic cluster gets a content coverage score (0–100) measuring how well your URL ensemble covers what AI engines tell users about the topic. A high score means your pages collectively address the topic from all necessary angles. A low score means there are gaps that no page fills.

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Internal linking gaps

zued considers page roles when analyzing topic clusters:
Page typeRoleCommon linking gaps
GuideInforms and recommendsShould link to specific PDPs it mentions
PDPConvertsShould link back to the guide and related products
PLP/CategoryBrowsesShould list all products mentioned in the guide
When a guide mentions a product but doesn’t link to its PDP, or a category page is missing products that AI engines recommend, zued flags these as internal linking gaps with specific URLs.
Internal linking gaps are often the fastest win. Adding a link from your guide to your PDP doesn’t require new content — just a link. And it helps AI engines see the connection between your pages.
Cross-URL insights link bidirectionally between the URL detail view and Domain Analytics. From any URL’s cross-URL context, you can jump to the other URLs in the cluster or view the full picture in Domain Analytics. From Domain Analytics, each URL row links back to its detail page.