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Some queries naturally span multiple pages. A user asking “best air fryer for a family of four” could be answered by your buying guide, individual product pages, and a category listing. zued identifies these multi-target prompts and analyzes how your pages work as an ensemble.

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How it works

During prompt generation, zued detects when a prompt is relevant to more than one URL in your project. These are called multi-target prompts — they’re assigned to every URL that could contribute to the answer. For each target URL, zued:
  1. Matches the best content chunk — the most relevant section on that page for the query
  2. Runs alignment analysis per URL — comparing each AI engine’s response against that page’s chunk
  3. Aggregates across URLs — producing a unified view of how well your URL ensemble covers the query
Multi-target prompts still count toward each URL’s individual alignment score. The 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 multi-target prompts. For each prompt:
  • This page’s alignment — score, gaps, and a specific improvement suggestion
  • Other pages in the query — clickable links to each URL’s detail view, with their alignment scores
  • Internal linking gaps — which pages should link to each other but don’t
  • Cross-URL recommendation — what to change across pages so AI engines cite them together

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In Domain Analytics

A Cross-URL Insights panel groups multi-target prompts by topic cluster. Each prompt card shows:
  • All target URLs with their page types, chunk excerpts, and alignment 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 multi-target prompt gets a content coverage score (0–100) measuring how well the URL ensemble serves the query as a whole. A high score means your pages collectively address the query 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 multi-target prompts:
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 target URLs or view the full picture in Domain Analytics. From Domain Analytics, each URL row links back to its detail page.