> ## Documentation Index > Fetch the complete documentation index at: https://velurahq.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Page Intelligence: search, traffic, and AI citations > VeluraHQ Pages unifies Search Console, GA4, and AI citation data per URL — so you diagnose performance gaps and act without switching tools. VeluraHQ Pages is the unified performance layer for your entire website. It joins organic search data from Google Search Console, engagement data from GA4, and AI citation counts from your AI Search Analytics into a single view per URL — so you know exactly what each page is doing across search, traffic, and AI visibility at the same time. Instead of reconciling three dashboards before you can form an opinion, you start every session with a complete picture already assembled. ## Data you see per page Clicks, impressions, CTR, and position from Google Search Console, updated in real time. Sessions, users, engagement time, and channel data from Google Analytics 4. The number of times each URL is cited by AI engines in your tracked prompt runs. A composite score combining search performance, engagement, and AI citation signals. ## Setting up Pages Go to **Settings > Integrations** and connect your Google Search Console property. VeluraHQ will pull clicks, impressions, CTR, and position data for all verified URLs. In **Settings > Integrations**, connect your GA4 property. This brings sessions, users, engagement time, and channel data into the Pages view alongside your Search Console metrics. Ensure AI Search Analytics is configured and actively tracking prompt runs. VeluraHQ uses these runs to count how often each URL is cited by AI engines. If AI Search Analytics isn't set up yet, citation counts will show as zero. Navigate to **Pages** in your workspace sidebar. Your URLs populate automatically from the connected data sources — no manual import needed. VeluraHQ syncs continuously, so the table stays current. ## Opportunity filters Rather than leaving you to hunt for problems manually, Pages ships with built-in opportunity filters that turn data patterns into actionable backlogs. Each filter matches a specific performance condition across your URL inventory. | Filter | Condition | What it means | | ----------------------------- | ------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- | | **High impressions, low CTR** | Impressions > 1,000 · CTR \< 2% | Pages getting seen in search but failing to earn the click — a title or meta description update would unlock clicks that are already within reach. | | **Slipping rankings** | Position delta > 5 | Pages losing SERP position before the traffic impact fully shows up in clicks. Catching these early gives you time to act before the drop compounds. | | **Search-loved, AI-ignored** | Citations = 0 · Clicks > 500 | Pages that rank and convert in traditional search but have never appeared in an AI-generated answer. These are your highest-leverage AI citation targets. | | **Decaying traffic** | Clicks trend negative | Pages that are losing momentum over time and are candidates for a refresh before the decline accelerates. | Start with the **Search-loved, AI-ignored** filter to build your first AI citation backlog. These pages already have proven search authority — they just need structural updates (clear answer sections, extractable facts, cited claims) to become AI-answer candidates. It's the fastest path to measurable AI visibility lift on content you've already invested in. ## Reading a single page Click any row in the Pages table to open the full detail view for that URL. Inside you'll find: * **90-day performance chart** — a continuous trend line showing clicks, impressions, and AI citations over the trailing 90 days, with period-over-period comparison. * **Signal breakdowns by source** — GSC, GA4, and AI citations presented as separate panels so you can isolate which signal is driving or dragging overall performance. * **Keyword ranking details** — the specific queries driving impressions and clicks to that URL, with position and CTR per keyword. * **One-click actions** — route the page directly into your Actions queue with the performance evidence pre-attached, or send it into a Sheet for bulk processing. ## Sorting and filtering You have full control over how the Pages table is ordered and scoped: * **Sort by**: clicks, impressions, CTR, position, AI citation count, or position delta (ascending or descending) * **Filter by page path**: narrow the table to a specific subdirectory, section, or URL pattern * **Filter by date range**: shift the reporting window to focus on a specific period * **Filter by metric threshold**: set custom conditions on any column — for example, show only pages where CTR is below 1.5% and impressions exceed 5,000 Combine filters to build precisely the subset you need before routing pages into a workflow or Sheet. ## Taking action from Pages Identifying a problem in Pages is only the start. VeluraHQ keeps the execution path short. **Single page action** Open any page row and click **Create action** to route that URL into your Actions queue. The performance evidence — current metrics, signals, and trend data — travels with it automatically. Your team picks it up with full context already attached. **Bulk execution** Select multiple pages using the checkboxes in the table, then click **Send to workflow** to create a Sheet pre-populated with those URLs. From there, run any workflow across the entire set — refreshes, SEO audits, title rewrites, or CMS updates — without rebuilding the workflow per page. *** **Continue reading** * [Content Update Ledger](/docs/platform/content-update-ledger) — measure before-and-after performance for every page you update through VeluraHQ. * [Actions](/docs/platform/actions) — understand how VeluraHQ surfaces, ranks, and routes opportunities from Pages and other signals.