=GPT_TAG() — apply all relevant labels to a text

=GPT_TAG() reads a text and attaches every label that fits — unlike =GPT_CLASSIFY(), which picks exactly one. Feed it your own tag list or let the model tag freely. Part of GPT for Sheets.

Syntax

=GPT_TAG(value, [tags])

Parameter	Required	Description
`value`	yes	The text to tag — a string or a cell reference.
`tags`	no	The tags to choose from, e.g. `"food, positive, negative"`. Comma-separated values or a range. Empty = the model picks tags itself.

Examples

Tag app-store reviews in A2 with your feedback taxonomy:

=GPT_TAG(A2, "pricing, performance, design, support, feature request")

Tag products for filtered navigation in an online store:

=GPT_TAG(A2, "vegan, gluten-free, organic, sugar-free")

Keep the tag list in a range (F1:F15) so the whole team edits one place:

=GPT_TAG(A2, $F$1:$F$15)

Let the model suggest tags freely for a first pass over blog posts:

=GPT_TAG(A2)

Tips

Providing a fixed tags list keeps output consistent — free tagging is great for discovery, bad for filters.
Count rows per tag afterwards with COUNTIF(B:B, "*pricing*") since several tags share a cell.
Drag the formula down for bulk tagging — up to 10,000 results per hour — then use Replace all GPT formulas with results in the sidebar.

=GPT_CLASSIFY() — exactly one category per row
=GPT_EXTRACT() — pull values out of text
=GPT_LIST() — generate a list of ideas or items

Try it

=GPT_TAG() ships with GPT for Sheets — no API keys needed. Install the add-on from the Google Workspace Marketplace.