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TL;DR — Your top AI entry points are visible in one table. Go to Analytics > Page Performance and sort by AI sessions to see exactly which URLs attract AI-referred visitors, then enable the Citation count column to correlate traffic with citation frequency. Cross-check Visibility > Citation Sources for pages with high citations but low traffic — those are unlinked mentions leaking potential visits. Pro tip: build two ranked lists (one by citations, one by AI sessions) and compare them — the gaps reveal your highest-leverage optimization targets.

The Question

“Which of my pages receive the most AI-driven traffic?”
Understanding which specific URLs attract AI-referred visitors is the bridge between your content strategy and your traffic data. A page that ranks well in traditional search may receive no AI traffic at all, while a detailed guide that barely touches the first page of Google may be cited in dozens of AI responses per day. Page Performance gives you the URL-level breakdown that makes this difference visible. This view is essential for identifying your highest-value GEO assets, replicating what makes them effective, and flagging high-citation pages that are leaking traffic due to unlinked mentions. You might also be wondering:
  • “Are the pages I optimized for GEO actually getting more AI-driven traffic?”
  • “Why is a page frequently cited in AI answers but receiving almost no sessions?”
  • “Which pages should I prioritize for updates to maintain or grow AI traffic?”

Where to Go in Qwairy

1

Start here: Analytics > Page Performance

Navigate to Analytics > Page Performance — this is your primary view. The table ranks every tracked URL by AI-driven session volume over the selected period. Focus on the AI sessions column — sorted descending by default — to see which pages are your top AI entry points. Enable the Citation count column to correlate traffic with citation frequency: pages that are both highly cited and receive high AI traffic are your GEO flagship content.
2

Go deeper: Analytics > Referrer Analytics

Cross-reference with Analytics > Referrer Analytics to understand which AI platforms are responsible for each page’s traffic. In Referrer Analytics, select a specific page from the URL breakdown to see its per-platform split. A page may receive 400 sessions from Perplexity and 12 from ChatGPT — knowing this tells you which platform’s citation behavior is driving the asset’s value.
3

Go deeper: Visibility > Citation Sources

Open Visibility > Citation Sources and search for your highest-traffic URLs. This view shows how many times that URL was cited in an AI response — with a link — versus mentioned without attribution. If a URL appears frequently in Citation Sources but has low AI traffic, the gap is likely unlinked brand mentions. If it barely appears in Citation Sources but receives high traffic, AI platforms may be citing it for queries you are not yet monitoring.
4

Complete the picture: Looker Studio (source-urls)

Connect the Looker Studio source-urls data source for:
  • Historical citation trends per URL going back further than the in-app period selector
  • Side-by-side comparison of citation volume, AI sessions, and organic sessions per URL
  • Automated alerts when a page’s citation rate drops — a leading indicator of traffic decline before it appears in session data

What to Look For

Page Performance Table — AI Sessions by URL

The Page Performance table is your URL-level traffic map for AI-driven visits. Unlike aggregate traffic reports, this view pairs traffic data with citation signals, making it possible to understand why a page receives AI traffic.
ElementWhat it tells you
AI sessionsAbsolute volume of sessions arriving from AI platforms for each URL in the period
Citation countNumber of times this URL was cited with a live hyperlink in an AI response
Bounce rate (AI)Whether visitors arriving from AI platforms find the page relevant to their intent
Pages / session (AI)Engagement depth — higher values mean visitors explore the site after landing
Citation-to-traffic ratioPages with many citations but low traffic likely have unlinked mentions — investigate
Trend vs previous periodWhether AI traffic to this page is growing, stable, or in decline

Citation Sources — Citation Depth for Top Pages

The Citation Sources view adds a layer that Page Performance alone cannot show: it tells you where in AI answers your URL is being cited and for which types of queries. A URL cited primarily in informational responses behaves differently from one cited in comparative or commercial queries — and the corresponding traffic will differ in intent and conversion potential.
ElementWhat it tells you
Cited with link vs mentioned withoutThe ratio that explains the gap between visibility and traffic
Provider distribution for the URLWhich AI platforms are responsible for citations — helps prioritize optimization effort
Associated prompt topicsWhich query categories trigger citations of this page
Pro Tip: Your highest-citation page and your highest-traffic page are often not the same URL. Build two lists — one ranked by citation count, one by AI sessions — and compare them. Pages that rank high on citations but low on traffic are candidates for adding a clearer call-to-action or improving the page’s ability to convert curious AI-referred visitors into engaged readers.

Filters That Help

FilterHow to use it for this question
ProviderFilter Page Performance to a single AI platform to see which pages that platform’s users favor
PeriodCompare 30d vs 90d to identify pages with a persistent traffic base versus those benefiting from a recent spike
Topic / TagIsolate a content cluster to confirm which pages within it earn the most AI traffic

How to Interpret the Results

Good result

Your top 5 AI traffic pages collectively account for at least 60% of all AI-driven sessions, and all 5 appear in your Citation Sources view with a citation-with-link count above 10. These pages have bounce rates below 65% from AI platforms, indicating content-intent alignment. At least 2 of the 5 are product or feature pages rather than pure blog content — a signal that AI is driving commercial-intent visitors, not just informational ones.

Needs attention

Your top AI traffic pages are dominated entirely by a single blog post written months ago, with all other pages near zero. This is single-asset concentration risk. Additionally, if your homepage or product pages receive no AI traffic whatsoever, AI platforms are not presenting your brand as a solution to commercial queries — visitors arrive at informational content but may never see your core offering.
Page Performance data depends on the URLs you have configured for tracking. If you have not added specific product or landing page URLs to your monitoring scope, they will not appear in this table regardless of how often AI platforms link to them. Periodically review your tracked URL list in workspace settings to ensure full coverage.

Example

Scenario: You manage the digital presence for a real estate agency with 15 offices across three metro areas. Over the past six months, you published ten neighborhood guides and five market-report pages optimized for AI visibility. You want to know which of those pages are producing actual AI-driven visitors looking for properties or local expertise.
  1. Open Analytics > Page Performance and sort by AI sessions descending. The top entry is /neighborhoods/downtown-austin-living-guide with 740 AI sessions in 90 days. Second is /market-reports/2026-q1-housing-forecast with 480 sessions. Seven of your other neighborhood guides have fewer than 60 sessions each.
  2. Enable the Citation count column. The Austin downtown guide has 112 linked citations and the housing forecast has 73. One of the low-traffic guides — /neighborhoods/north-shore-family-guide — has 51 citations but only 34 sessions. Navigate to Visibility > Citation Sources and search for that URL. It shows 14 linked citations and 37 unlinked name mentions — meaning AI models reference the guide’s neighborhood data without linking to it, likely summarizing key statistics rather than citing the source directly.
  3. The North Shore family guide needs a content update to make it more citable — adding structured comparison tables, school district rankings, and concise neighborhood snapshots that AI models are more likely to quote and attribute rather than paraphrase into generic summaries.

Go Further