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

# Review product-page visibility

> Connect product-page citations to their answer evidence.

Answer: “Which of our product detail pages are cited, and what do the answers use them to support?”

## Prepare the scope

Use `list_projects` and `list_runs` to choose the project and completed run. Check readiness, then call `get_results_stability` for the same run and supported filters. For each measurement, preserve the scope, returned confidence interval, and row-quality fields. See [run selection](/developers/guides/07-projects-and-runs) and [decision-grade measurement](/developers/guides/10-stability).

The JSON examples below are MCP `tools/call` parameter objects. Replace ID placeholders and sample selections with values discovered in your account.

## Retrieve the evidence

1. Read owned URL citation coverage.
2. Review the returned URLs to identify actual product detail pages. A collection, category, or editorial page is a different page type.
3. Pass a returned product-page URL to `analyze_page_performance` and `get_technical_features`.

```json theme={null}
{
  "name": "get_citation_score",
  "arguments": {
    "project_id": "PROJECT_ID",
    "run_id": "RUN_ID",
    "metric": "coverage",
    "aggregation_level": "url",
    "subject": {
      "kind": "owned"
    }
  }
}
```

## Build the report

Create a table with product-page URL, citation coverage and interval, supporting answer statements, and available technical observations. Keep proposed page edits in a separate column from measured findings.

When captured content is unavailable, state that limit. Do not describe absent content as weak content. Technical features describe pages that were cited; they do not establish feature targets or prove why those pages were cited.

## Add referral or product activity when available

Check `list_ga4_properties` first. If the project has usable linked data, `get_ai_traffic_performance`, `get_ecommerce_funnel`, and `get_product_performance` can add the stored referral and commerce context. Keep their resolved snapshot window with the result.

Citation visibility and Google referral activity are separate measurements. Do not infer a sale, conversion, or revenue amount from a citation. An empty product list does not establish zero product visibility.

Reference: [citation scores](/developers/tools/get_citation_score), [page evidence](/developers/tools/analyze_page_performance), [Google data](/developers/guides/14-google-data).


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.