# Search by Title or URL

The **Search** feature lets you quickly filter specific articles or groups of content on your website using keywords from article titles or URLs. You can use it to narrow down results, isolate individual articles, or exclude certain types of content — making it easier to focus your analysis.

### **Filtering Articles by Title or URL**

You can filter articles directly from the dashboard using partial matches from article titles or URLs.

**To filter:**

1. Click the **Search icon** at the top-right of the dashboard.
2. Use **“+”** to include articles that match your search term, or **“-”** to exclude them.
3. Type a keyword, phrase, or part of a URL or article title.
4. Press **Enter** to apply the filter and update the table results.

**Note**: Filtering works for both article titles and URLs, and supports partial matches.

### **Tracking a Single Article**

To view data for just one article:

1. Open the **Search bar**.
2. Enter a unique identifier from the article’s title or URL.
3. Select the specific article from the filtered list.

This will display a focused view of all performance metrics for that article.

For more details about a single article’s performance, see the [URL-Level Analytics](/help-docs/url-level-analytics.md) page.

### **Use Cases for Filtering**

* **Track the performance of specific topics or entities**\
  Example: If you run a sports magazine, search for `"lebron-james"` to view all articles related to Lebron James.
* **Exclude specific content types**\
  You can exclude the most popular article so you can see how the rest of the pages on your website are performing.
* **Quickly locate specific articles**\
  Instead of scrolling through long tables, use search to instantly locate and analyze the data you need.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://govisibl.gitbook.io/help-docs/search-by-title-or-url.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.