> ## Documentation Index
> Fetch the complete documentation index at: https://docs.qwairy.co/llms.txt
> Use this file to discover all available pages before exploring further.
# Which of my website pages get the most AI citations?
> The Citations page-level view ranks your own URLs by how often AI models cite them, showing exactly which of your pages are doing the heavy lifting in AI conversations.
**TL;DR** — Not all your pages are equal in the eyes of AI models; some get cited across dozens of prompts while others are invisible. Go to **Monitor > Citation Sources > Pages** to see which of your own URLs are doing the heavy lifting, then compare with **Measure > Page Performance** to find pages with high potential but low citations. Check **Measure > Crawler Analytics** to confirm AI bots are actually visiting your top pages. Pro tip: pages with high bot visits but low citations usually have weak structure — improving headings, adding FAQ schema, and expanding thin content can produce fast citation gains.
## The Question
> **"Which of my website pages get the most AI citations?"**
Not all pages on your website are equal in the eyes of AI models. Some pages get cited across dozens of prompts and multiple providers; others are invisible despite high organic traffic. Understanding which of your own URLs AI models actually use when referencing your brand tells you where your content strategy is working — and where you have owned assets that could be generating far more AI visibility but are not.
This is distinct from organic SEO performance. A page can rank on page one in Google and never appear in an AI citation, and vice versa. The two metrics measure different kinds of discoverability.
**You might also be wondering:**
* "How do I make my pages appear more often in AI responses?"
* "Does Google Search Console data predict which pages get cited by AI?"
* "Are AI crawlers actually visiting my most-cited pages?"
***
## Where to Go in Qwairy
Navigate to **Monitor > Citation Sources** and switch to the **Pages** tab — this filters the citation table to show only your own domain's URLs.
Focus on the **URL ranking table**, which lists every page of yours that appeared in AI responses, sorted by total citation count.
Cross-reference with **Measure > Page Performance** to see the AI score assigned to each of your pages.
Use the **Sort by AI score** option to identify pages that are highly cited but have room to improve their content quality — or pages with high AI scores that are not yet being cited as often as they deserve.
Connect **Google Search Console** to compare organic keyword rankings for each cited page against its AI citation volume — the overlap reveals your strongest dual-channel pages.
Open **Measure > Crawler Analytics** to confirm that AI bots (GPTBot, ClaudeBot, PerplexityBot) are actually visiting your most-cited pages, validating that citation frequency reflects genuine indexation.
Use the **Looker Studio `source-urls` data source** for a live dashboard tracking page-level citation trends over time.
***
## What to Look For
### Citations > Pages — URL Ranking Table
The URL ranking table shows your owned pages ranked by citation frequency across all monitored AI responses.
| Element | What it tells you |
| ----------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Citation count** | How many AI responses referenced this specific page in the selected period |
| **Unique prompt count** | How many distinct prompts triggered a citation of this page — a page cited by many prompts is more broadly influential than one cited repeatedly by one prompt |
| **Provider coverage** | Which AI models cite this page; a page cited by all providers has broad reach, one cited only by Perplexity may have characteristics specific to that model |
| **Citation trend** | Whether this page is gaining or losing AI citations over time — a falling trend on your top page is a signal worth investigating |
| **Last cited date** | When this page was most recently referenced; pages not cited in the last 30 days may need freshness signals |
### Measure > Page Performance — AI Score per Page
Page Performance gives each of your indexed pages an AI score reflecting how well-structured, authoritative, and citation-ready the content is.
| Element | What it tells you |
| ------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **AI score** | A composite measure of the page's citation-readiness: structure, freshness, external link authority, and content depth |
| **Gap to top cited** | How far this page's score is from your highest-scoring cited page — the improvement potential |
| **Traffic vs. citation ratio** | Pages with high organic traffic but low citations are candidates for GEO optimisation; pages with low traffic but high citations are already punching above their weight |
### Measure > Crawler Analytics — Bot Visit Confirmation
Crawler Analytics logs visits from known AI crawlers (GPTBot, ClaudeBot, PerplexityBot, others) to your pages. Cross-referencing this with citation data closes an important loop.
| Element | What it tells you |
| --------------------------- | ------------------------------------------------------------------------------------------------------------ |
| **Bot visit count per URL** | Frequency of AI crawler visits; more visits generally precede higher citation frequency |
| **Crawler type** | Which AI model's crawler visited — useful for explaining why one provider cites a page that another does not |
| **Visit recency** | If a page has not been crawled recently, new content updates may not yet be reflected in citations |
> **Pro Tip**: Find pages with high bot visit counts but low citation frequency. These pages are being read by AI crawlers but not being cited — usually a signal that the content structure is not citation-friendly (no clear facts, weak headings, thin content). Improving those pages can produce fast citation gains.
### Filters That Help
| Filter | How to use it for this question |
| --------------- | --------------------------------------------------------------------------------------------------------------------- |
| **Provider** | Isolate a specific AI model to see which of your pages it prefers — different models have different citation patterns |
| **Period** | Compare citation counts before and after a major content update to measure its impact on AI visibility |
| **Topic / Tag** | Filter to a specific product area to see which pages within that area are carrying the AI citation load |
***
## How to Interpret the Results
### Good result
Your most important commercial pages — product pages, use case pages, comparison pages — appear in the top ten cited URLs. Citation counts are distributed across multiple pages rather than concentrated on one. Crawler Analytics confirms regular AI bot visits to your top-cited pages. The AI score for your highest-cited pages is above 70, and Google Search Console shows strong organic performance for those same URLs — dual-channel strength.
### Needs attention
Your citation list is dominated by a single blog post from two years ago while your core product pages have zero citations. Or your most commercially important pages have high AI scores but zero citation counts — indicating the content quality is there but AI crawlers are not visiting or AI models are choosing other sources instead. A sharp drop in citations for a top page after a site migration or URL change is an urgent signal.
Citation count alone does not tell you whether being cited is helping your brand. A page cited frequently because it contains a complaint FAQ or a list of known limitations may be generating citations that work against your positioning. Always read the actual responses to verify the context in which your pages are being cited.
***
## Example
> **Scenario**: A management consulting firm published eight new industry insight pages over the past quarter — covering topics like digital transformation strategy, supply chain resilience, and ESG advisory — and wants to know which pages AI models are actually citing when prospects ask about consulting services.
1. Open **Monitor > Citation Sources > Pages** and set the period to **Last 90 days**. Filter by **Domain: the firm's own domain**. Export the full URL list.
2. Compare the eight new insight page URLs against the citation table. Five of the eight appear with at least seven citations each, led by the digital transformation strategy page with 23 citations. Three pages — including ESG advisory and supply chain resilience — have zero citations. Check Crawler Analytics for those three URLs — GPTBot has visited all three, but PerplexityBot and ClaudeBot have not.
3. Open **Measure > Page Performance** for the three uncited pages. All three have AI scores below 40, compared to an average of 72 for the cited pages. The ESG page is only 500 words with no structured data, and the supply chain page lacks clear headings and citable statistics.
4. Prioritise expanding those three pages with concrete frameworks, client outcome data, and FAQ schema. Build two or three inbound links from industry publications already covering these topics to signal authority to AI crawlers that have not yet indexed them.
***
## Go Further
Build a citation leaderboard in Looker Studio using the source-urls data source to track your most-cited pages
Use the source-urls endpoint to build an automated citation tracker that alerts you when citation counts change
Read the Citation Sources documentation to understand how Qwairy counts and attributes citations to specific pages
## Related Questions
Zoom out from your own pages to all external domains shaping your AI narrative.
Use citation data from this view to identify which pages need authority signals most urgently.