> ## Documentation Index
> Fetch the complete documentation index at: https://docs.atomicagi.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Pages

> Prioritize URLs that drive AI visits, recover zero-click pages, and improve indexability quality

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-pages-landing-pages.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=ed5ce5f8b30b06d1cae6a93e789aa597" alt="AI Search Pages with Landing pages tab selected, showing top cards, trend chart, and table" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-pages-landing-pages.png" />
</Frame>

Use this page as your URL-level execution dashboard for AI Search.

<div className="atomic-info-callout">
  <p>
    <strong>Important:</strong> Treat this as a priority queue, not just a
    report. Pick pages, assign owners, and track movement next cycle.
  </p>
</div>

## Questions this page should answer

1. Which pages are currently driving AI visits?
2. Which pages are visible but not getting clicks?
3. Which URLs should we update first this sprint?

## Before you analyze

* Use the same date range as Overview.
* Start with no extra filters.
* Compare against an equivalent prior period.

## What this page gives you

* Top cards for `Landing pages`, `Zero-click pages`, and `AI indexability percentage`.
* A trend + table view to prioritize by URL.
* Two subtabs for execution: `Landing pages` and `Zero-click pages`.

## How to read the top cards

* `Landing pages`: URLs currently receiving AI traffic.
* `Zero-click pages`: URLs mentioned but not clicked.
* `AI indexability percentage`: share of pages discoverable for AI contexts.

<div className="atomic-highlight-card">
  <p>
    <strong>Key signal:</strong> If zero-click pages increase while landing-page
    outcomes stall, your visibility is not translating into qualified traffic.
  </p>
</div>

## How these metrics are calculated (simple)

### Landing pages

Landing pages are the count of unique URLs with at least one AI-attributed session in the selected period.

### Zero-click pages

Zero-click pages are tracked URLs mentioned in AI answers but with zero AI-attributed sessions.

### AI indexability percentage

```text theme={null}
AI indexability percentage = (AI-discoverable tracked URLs / total tracked URLs) x 100
```

## Landing pages tab

Use this tab for pages already receiving traffic and needing performance gains.

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-pages-landing-pages.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=ed5ce5f8b30b06d1cae6a93e789aa597" alt="AI Search Pages Landing pages tab with trend and by-page performance table" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-pages-landing-pages.png" />
</Frame>

Focus on:

* High clicks, low avg. time pages.
* Former winners now trending down.
* Pages with potential to improve conversion quality.

## Zero-click pages tab

Use this tab to convert mention visibility into actual traffic.

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-pages-zero-click-pages.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=c588c53f1711bcd578d1571128b2eb91" alt="AI Search Pages Zero-click pages tab with zero-traffic URL table" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-pages-zero-click-pages.png" />
</Frame>

Focus on:

* High-value URLs repeatedly shown with no clicks.
* Pages with weak titles or weak value framing.
* Pages needing better internal paths from strong pages.

## Quick weekly checklist

1. Pick 3 landing pages to optimize now.
2. Pick 3 zero-click pages to recover.
3. Assign clear owner and deadline per URL.
4. Check movement next cycle.

## How to use filters

* Start broad, then narrow to one topic cluster.
* Keep date range consistent across Pages and Overview.
* Validate changes in one segment before scaling.

## What to fix first

| Pattern in page data                | What it usually means                  | Recommended action                                  |
| ----------------------------------- | -------------------------------------- | --------------------------------------------------- |
| High visibility, no clicks          | Weak click motivation or mismatch      | Improve page positioning and relevance              |
| Clicks dropping on core URL         | Content is stale or less competitive   | Refresh content depth and proof                     |
| Strong clicks, weak avg. time       | Post-click expectation mismatch        | Improve structure and immediate value communication |
| Many zero-click URLs in one cluster | Topic is visible but weakly compelling | Strengthen topic authority and differentiation      |

## Team routine

1. Weekly: ship page updates on highest-value URLs.
2. Bi-weekly: compare cohort performance after changes.
3. Monthly: rebalance roadmap by URL-level outcomes.

## Keep in mind

* Not every zero-click URL is urgent.
* Avg. time is directional, not absolute.
* URL improvements can lag one cycle behind prompt changes.

## Where to go next

* [Prompts](/data/ai-search/prompts)
* [Visibility](/data/ai-search/visibility)
* [Citations](/data/ai-search/citations)
* [Overview](/data/ai-search/overview)