Pages

Get a 360-degree view of every page on your website by combining Google Search Console, Google Analytics, and AI Tracker data.

Pages gives you a unified view of every page on your website. Connect your Google Search Console and Google Analytics accounts, and Slate combines their data with AI Tracker citation metrics — giving you a 360-degree view of each page’s performance across organic search, site traffic, and AI visibility.

Why use Pages?

SEO, analytics, and AI visibility data usually live in separate tools. Pages brings them together so you can see the full picture for any page on your site: how it ranks in search, how much traffic it gets, and whether AI platforms cite it. Filter and sort across all these metrics to find the pages that need attention.

Prerequisites

• A Slate account with an active workspace
• Google Search Console connected to Slate (required)
• Google Analytics (GA4) connected to Slate (recommended)
• AI Search Analytics configured for your brand (optional, for citation data)

Setup

Step 1: Connect your data sources

Pages requires at least a Google Search Console connection. For the full 360-degree view, connect all three sources:

1. Google Search Console — provides clicks, impressions, CTR, and ranking positions. See the GSC integration guide for setup steps.
2. Google Analytics (GA4) — provides sessions, users, and engagement time. Connect via Administration > Integrations.
3. AI Search Analytics — provides citation counts and citation rates. Set up tracking in the AI Search Analytics section.

If Google Analytics is not connected, Slate shows a banner prompting you to add it. Pages still works with GSC data alone, but traffic and engagement columns will be empty.

Step 2: Configure page tracking

1. Go to Pages in the Slate sidebar.
2. Open the configuration panel.
3. Select your GSC connection and site.
4. Choose which pages to track:

Method	Description
All pages	Track every page GSC reports data for
URL filter	Filter by URL pattern (contains, starts with, ends with, equals)
Conditions	Filter by metric thresholds (e.g., clicks > 50 AND position < 20)
Manual selection	Pick specific page URLs from a list

A preview panel shows matching pages before you save. Slate scans up to 50,000 pages from GSC to match your criteria.

The Pages table

Once configured, the Pages table displays all tracked pages with metrics from every connected data source.

Available columns

Column	Source	Description
URL	—	Page URL with link to the live page
Clicks	GSC	Clicks from search results
Impressions	GSC	Times shown in search results
Position	GSC	Average ranking position
CTR	GSC	Click-through rate
Citations	AI Tracker	Number of AI citations referencing the page
Citation rate	AI Tracker	Rate of AI citations
Users	GA4	Total users from Google Analytics
Sessions	GA4	Total sessions
Engagement time	GA4	Average engagement time per session

Every metric shows both the current value and the delta (percentage change) compared to the previous period.

Filtering

Use filters to narrow down pages based on any metric. Each metric supports numeric operators:

• Greater than / Greater than or equal
• Less than / Less than or equal
• Equals / Not equals

You can also filter on metric trends (the delta values) to find pages where a metric is rising or falling.

A text search field lets you filter by URL.

Example filters:

• Impressions > 1,000 AND CTR < 2% — pages with search visibility but poor click-through
• Position delta > 5 — pages that dropped more than 5 positions
• Citations = 0 AND Clicks > 500 — high-traffic pages not cited by AI platforms

Sorting

Click any column header to sort by that metric. Click again to toggle between ascending and descending order.

Date range

Use the date range picker to view data for a specific time period. Presets include Last 7 Days, Last 30 Days, This Week, and This Month. Custom date ranges are also supported.

The delta values update to compare the selected period against the previous equivalent period.

Syncing data

Slate syncs page data automatically. To trigger a manual refresh:

1. Click the Sync button in the Pages header.
2. Slate fetches the latest data from all connected sources.

Manual sync has a cooldown period. The Sync button shows the remaining time before the next sync is available. GSC data has a 2–3 day processing delay from Google, so the most recent days may show incomplete data.

Actions

Export to Slate Sheets

Select one or more pages using the checkboxes, then click Create Sheet to export the selected page URLs to a new Slate Sheet. From there, you can run workflows on the exported pages — for example, regenerate meta descriptions, rewrite content, or publish updates to WordPress or Webflow.

This is the primary way to take bulk action on pages: filter and select in Pages, export to a Slate Sheet, then attach a workflow to process each row.

Use cases

Find pages that need better titles and descriptions

Filter for pages with high impressions but low CTR. These pages appear in search results but fail to attract clicks — a sign that the title tag or meta description needs improvement.

How: Filter Impressions > 1,000 + CTR < 2%. Sort by impressions descending to prioritize the highest-opportunity pages.

Catch ranking drops early

Sort by position delta to see which pages lost rankings during the selected period. Catching drops early lets you investigate and fix issues before traffic declines.

How: Sort by Position with descending delta. Look for pages where position increased by more than 3–5 spots.

Prioritize content refreshes

Find pages with declining clicks or sessions. These are strong candidates for content updates, since they had traffic before and can likely recover with refreshed content.

How: Filter Clicks trend < 0 or Sessions trend < 0. Cross-reference with position data to understand whether the decline is from ranking loss or seasonal trends.

After you ship a refresh, log it in Content Updates so you can attribute future traffic shifts back to the change.

Discover AI visibility gaps

Compare your organic search performance with AI citation data. Pages that rank well in traditional search but have zero AI citations may need optimization for AI platforms.

How: Filter Citations = 0 + Clicks > 100. These are pages that search engines value but AI models do not cite.

Monitor your highest-value pages

Sort by clicks or sessions to identify your top-performing pages. Track them over time to ensure they maintain their performance.

How: Sort by Clicks descending. Use the date range picker to compare week-over-week or month-over-month trends.

Identify engagement problems

Find pages that get traffic but have low engagement time. These pages attract visitors but may not deliver the content users expect.

How: Filter Users > 100 + Engagement time < 30 seconds. Review these pages for content quality, page speed, or user experience issues.

What’s next

• Content Updates — track every publish, refresh, and draft in one ledger
• Google Search Console Integration — connect GSC to power Pages
• AI Search Analytics — set up AI citation tracking
• Workflows — build automated workflows to act on insights from Pages
• Sheets — export pages to Slate Sheets for bulk workflow actions