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TL;DR — Identify your highest-cited pages to reverse-engineer what makes them work, then replicate those patterns across underperforming content. Go to Visibility > Citation Sources and sort by Citation Count to see your top URLs, then cross-reference with Analytics > Page Performance to get each page’s AI Score. Layer in Strategy > Google Search Console to spot pages with high citations but low organic traffic — these AI-first assets deserve more investment. Pro tip: extract the common structural patterns from your top 10 cited pages (TL;DR blocks, comparison tables, specific statistics) and apply them to your 10 least-cited pages on high-priority topics for faster results than writing new content.

The Question

“Which of my existing pages are most frequently cited by AI?”
Your website already contains pages that AI models actively cite today — but without visibility into which ones, your content team cannot replicate the patterns that made them work. A page that gets cited 40 times per month has done something right: the right topic coverage, the right structure, the right level of specificity. Understanding this is more valuable than any keyword research tool. Qwairy’s Citations view and Page Performance analytics give you a ranked list of your most-cited URLs, the queries that trigger each citation, the AI providers citing them, and the organic performance of the same pages — so you can build a content playbook from your actual winners. You might also be wondering:
  • “How is my overall AI visibility trending over time?”
  • “Why do some of my pages get cited but others do not?”
  • “Which AI providers are most likely to cite my content?”

Where to Go in Qwairy

1

Start here: Visibility > Citation Sources

Navigate to Visibility > Citation Sources — your primary view for page-level citation data. Sort by Citation Count descending to see which URLs are cited most often across all monitored AI providers. Click any URL row to see the full citation breakdown: which queries triggered the citation, which providers cited it, and what text snippet was quoted.
2

Go deeper: Analytics > Page Performance

Cross-reference with Analytics > Page Performance to see the AI Score assigned to each page based on how frequently and how prominently it appears in AI-generated answers. Use the Sort by AI Score option to confirm which pages outperform their organic metrics in AI contexts — these are your citation leaders.
3

Layer in organic data: Strategy > Google Search Console

Connect Strategy > Google Search Console to overlay organic impressions and clicks on your citation leaders. This split view identifies two important patterns: pages with high citations and high organic traffic (your best all-around content), and pages with high citations but low organic traffic (AI-first pages that traditional SEO undervalues — these deserve investment).
4

Complete the picture: Analytics > Crawler Analytics + Exports

Review Analytics > Crawler Analytics to confirm that your top-cited pages are being actively crawled by AI bots (GPTBot, PerplexityBot, ClaudeBot, etc.). Pages with zero crawler visits in the last 30 days may be losing citations they previously held. Export the full citation list via Workspace > Exports as CSV for deeper analysis in Looker Studio or a spreadsheet.

What to Look For

Citations — Page-Level Breakdown

The Citations view is the ground truth for which pages AI models are actively referencing. Each row represents a unique URL from your domain that has appeared as a source in at least one monitored AI response.
ElementWhat it tells you
Citation CountTotal number of times this URL was cited across all providers and all monitored prompts in the selected period
Provider BreakdownWhich AI engines cite this page — a page cited by 4+ providers is a structural asset; one cited by only 1 may be format-specific
Top Triggering QueriesThe specific questions that most often surface this page — tells you the exact intent the page is serving
Citation SnippetThe verbatim text the AI quoted from the page — reveals which section is most valued
Citation TrendWhether citation count is growing, stable, or declining — a declining trend may mean a competitor published better content
First Citation DateHow old the citation relationship is — old citations are more durable; new citations may be volatile

Page Performance — AI Score by URL

Page Performance computes an AI Score (0–100) for each page based on the frequency, prominence, and diversity of its citations across providers and query types. This score lets you rank your pages purely by AI value, independent of organic SEO metrics.
ElementWhat it tells you
AI ScoreComposite AI citation quality score — above 70 indicates a reliably cited page
Provider CoverageThe number of distinct AI providers citing this page — higher coverage = more durable asset
Average PositionWhether the page is cited first, second, or further down in multi-source AI answers — first position citations drive more traffic
Query DiversityHow many distinct query types trigger a citation — high diversity means the page is versatile across intent variants

GSC — Organic Performance of Cited Pages

Combining Citation data with GSC performance creates a 2x2 matrix of content value:
Citation RateOrganic TrafficInterpretation
HighHighCore content asset — protect and update regularly
HighLowAI-first page — invest in organic promotion and link building
LowHighSEO-strong but not AI-optimized — reformat for AI citation
LowLowUnderperforming on both channels — review or consolidate

Crawler Analytics — Bot Validation

Crawler Analytics shows which AI crawlers have visited which pages and when. If a page was previously cited frequently but citation count has dropped, check whether the relevant AI crawler (e.g., GPTBot, PerplexityBot) has visited the page in the last 30–60 days.
ElementWhat it tells you
Bot Visit FrequencyPages visited weekly by multiple bots stay in AI training/retrieval pools
Last Crawl DateIf a high-citation page has not been crawled in 45+ days, its citations may be at risk
Crawl Blocked PagesAny pages returning 403/noindex to AI bots are invisible to citation — check robots.txt
Pro Tip: Combine Citations and Page Performance to build a “content playbook.” Sort your top 10 cited pages by citation count, read each citation snippet, and extract the common structural patterns — TL;DR blocks, comparison tables, numbered lists, specific statistics. Apply these patterns to your 10 least-cited pages that cover high-priority topics. This structural reformat is often faster and more effective than writing new content from scratch.

Filters That Help

FilterHow to use it for this question
ProviderSee which pages are cited exclusively by one engine vs. universally — engine-specific citation patterns indicate format preferences
PeriodCompare last 30 vs. last 90 days to distinguish recently-rising pages from long-standing citation leaders
Topic/TagNarrow to a product area to build a citation inventory for a specific team or campaign
Source URLFilter to a specific URL to see its complete citation history, all triggering queries, and all snippets

How to Interpret the Results

Good result

Your top 5 cited pages each have 20+ citations per month, are cited by 3+ distinct AI providers, and cover a range of funnel stages (at least one Awareness, one Consideration, one Decision page). Your AI Score for these pages is above 70, and Crawler Analytics confirms they are visited by GPTBot and PerplexityBot at least weekly. This is a mature citation portfolio — your job is to maintain these pages and replicate their structure.

Needs attention

If your citation data is heavily concentrated — 80% of all citations coming from a single page — your citation portfolio is fragile. A single update or removal of that page would collapse your AI visibility. Diversify by identifying the next 5 highest-potential pages and running targeted rewrites to improve their citation readiness. If your top-cited pages are all blog posts from 12+ months ago and no newer content appears in the top 20, your recent content is not being cited. This usually means newer articles are not structured for citation — they may be too promotional, too thin, or missing the FAQ and structured sections that AI models prefer.
Citation count is a lagging metric. A page that you updated last week may not show citation changes for 30–60 days, depending on how frequently AI models re-index your domain. Do not interpret a flat citation count in the first 30 days post-update as evidence that the update did not work.

Example

Scenario: You run a cybersecurity SaaS. Sorting Citations by count, you find that your “What is a SOC 2 audit?” blog post has 67 citations across ChatGPT, Perplexity, and Gemini — 4x more than your second-most-cited page, which is your “SOC 2 vs ISO 27001” comparison guide.
  1. Click the SOC 2 audit page row to view citation snippets. The AI consistently quotes two sections: the opening definition paragraph (cited as a direct answer to “what is SOC 2”) and the “How long does SOC 2 audit take?” FAQ item (cited for timeline queries). Neither section is particularly long — they are cited because they are direct, specific, and clearly labeled.
  2. Open Analytics > Page Performance and note this page has an AI Score of 84 — your highest. But its organic traffic in GSC is only 800 visits/month, well below other pages.
  3. Apply the structural patterns from this page (direct definition opener, labeled FAQ items with specific numeric answers) to your 3 most-visited product pages, which currently have AI Scores below 30 and zero citations. Set a 60-day monitoring checkpoint to measure the impact.

Go Further