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The Alignment Score measures how closely the most relevant content on your page matches what AI engines actually say when answering queries about your topics. It’s one of zued’s two primary KPIs — the core signal for whether your content is being understood and cited. A high Alignment Score alone isn’t enough: if AI crawlers can’t access your pages, the score is irrelevant. That’s why zued always pairs alignment analysis with the Technical Score.

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How it’s calculated

zued compares each AI engine response against the most relevant content chunk on your page across three dimensions:
DimensionWhat it measures
AngleDoes your content approach the topic from the same angle as the AI’s answer?
InformationIs your content’s depth and accuracy on par with what AI engines say?
StructureIs your content organized in a way AI systems can extract cleanly?
The three dimensions are weighted equally and combine into a single 0–100 score per prompt. URL-level and project-level scores are averages across all prompts.

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Score levels

ScoreLevelWhat it means
> 70StrongAI engines represent your content accurately
40–70PartialSome gaps — AI covers the topic but misses key points or uses your content incompletely
< 40PoorSignificant misalignment — AI answers without using your content, or misrepresents it

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What you see per prompt

Each prompt in your project shows a breakdown:
  • Content gaps — topics the AI covers that your page doesn’t address
  • Content strengths — where your content aligns well
  • Format mismatch — when AI responds in a format your content doesn’t support
  • Quick Win — the single highest-impact, lowest-effort change for this prompt
A low Alignment Score doesn’t always mean low visibility. It means the visibility you have may be inaccurate or incomplete. Fixing alignment improves both the quality and quantity of citations.

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Per-engine breakdown

Scores are calculated individually per AI engine and then averaged. This means you can have a strong score with Gemini and a poor score with ChatGPT for the same page — each engine retrieves and interprets content differently.
The more engines you run, the richer the per-engine breakdown — each engine retrieves and interprets content differently.

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Multi-target prompts

Some prompts are relevant to more than one URL in your project. When this happens, alignment analysis runs separately for each target URL — every page gets its own score, gaps, and recommendations against the same AI response. This means a single prompt can surface different insights for different pages. Your buying guide might score well on information depth but miss format alignment, while a product page might score well on structure but lack the depth the AI response provides. These multi-target prompts also feed into cross-URL analysis, which looks at how your pages work together as an ensemble.