NEWv1.17: Audited & Actionable
Metrics & Analytics

Pages Performance

Detailed analysis of the interaction between AI crawlers, LLM visitors, and a website's pages.

What is Pages Performance?

Pages Performance is a metric that evaluates how each page of your website performs from an AI perspective: how many times it is crawled by AI bots, how much traffic it receives from LLMs, and what the distribution is between crawlers, AI referrers, and other traffic. This analysis helps identify the highest-performing pages for GEO and those that need optimization. It's essential for prioritizing your content optimization efforts.

How Qwairy Makes This Actionable

Qwairy provides a Pages Performance dashboard showing how each page performs with AI crawlers and LLM traffic. Identify your top-performing pages and those needing optimization based on AI engagement metrics.

Frequently Asked Questions

Focus on the crawler-to-referral conversion rate: pages with high crawler visits but low LLM referral traffic represent your biggest opportunity, since AI platforms already find them relevant but aren't citing them yet. The platform's Pages Performance dashboard highlights these high-potential pages automatically, showing exactly where targeted optimization (adding citations, FAQ sections, structured data) will deliver fastest ROI by converting existing AI interest into actual traffic and citations.

The platform correlates page-level crawler visits and LLM referral traffic with brand mention tracking across AI platforms. You'll see which pages generate citations that actually mention your brand in AI responses versus pages that only get crawled without citation. This distinction is critical: high-crawl pages without mentions need brand entity optimization and clearer value propositions, while high-crawl pages with strong mentions should be scaled and replicated across similar topics to multiply your AI visibility.

Top-performing pages typically attract several times more crawler visits than your site average and convert that crawler interest into LLM referral traffic over the following months. Absolute numbers vary widely by industry and site size, so the platform provides performance percentiles based on your own site (top 10%, median, bottom 25%). Identify internal winners and losers, then reverse-engineer what makes your best pages successful and apply those patterns across underperforming content.
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