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:- Analyzes each URL individually — matching content chunks, running coverage analysis per AI engine
- Aggregates across URLs — producing a unified view of how well your URL ensemble covers the topic
- 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.
What you see
Cross-URL insights live in Domain Analytics, where 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
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.Internal linking gaps
zued considers page roles when analyzing topic clusters:| Page type | Role | Common linking gaps |
|---|---|---|
| Guide | Informs and recommends | Should link to specific PDPs it mentions |
| PDP | Converts | Should link back to the guide and related products |
| PLP/Category | Browses | Should list all products mentioned in the guide |