Table featured snippets appear when Google determines that a comparison, pricing, or schedule query is best answered with a structured data grid rather than a paragraph or list. They account for approximately 11% of all featured snippets. The trigger queries are characteristically structured: "compare X and Y," "price of X vs Y," "[topic] schedule," "difference between A and B" with multiple comparable attributes. To win a table snippet, your page must have a properly structured HTML table - with <caption>, <thead> using <th> elements, and <tbody> with data rows.
Google renders table snippets with a maximum of 3 visible columns and 5 to 7 visible rows in its snippet display. If your table has 5 columns and 10 rows, only a portion will be visible in the snippet - potentially the wrong columns or the least important rows. Design your table with the 3 most critical columns as the first 3, and ensure the most important comparison data appears in the first 5 rows. Front-loading your most query-relevant data in the visible snippet portion drives both snippet win probability and click-through rate from the snippet display.
Table HTML Structure for Snippet Extraction
Google's table snippet extraction requires specific semantic HTML elements. Missing any of the required structural components - <caption>, <thead> with <th>, or proper <tbody> structure - significantly reduces extraction probability. Hover any element to understand its role.
<table>
<caption>Snippet Format Comparison</caption>
<thead>
<tr><th>Format</th><th>Trigger</th></tr>
</thead>
<tbody>
<tr><td>Paragraph</td><td>What is</td></tr>
<tr><td>List</td><td>How to</td></tr>
<tr><td>Table</td><td>Compare</td></tr>
</tbody></table>
Hover any line in the code to see why that HTML element matters for table snippet extraction.
Table vs Other Formats: Query-by-Query Decision Guide
Table snippets are not the right format for every comparison or data query. The format decision must match the query's structural intent. Click any example query to see the recommended format and why the extraction model favors it.