> This page is for version v2 API (default).
> For other versions, use one of these documentation indexes:
> - v2 API (default): https://docs.cohere.com/v2/llms.txt
> - v1 API: https://docs.cohere.com/v1/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.cohere.com/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.cohere.com/_mcp/server.

# Customer Feedback Aggregation

> This document discusses how successful products like the iPhone receive thousands of reviews in multiple languages, and how using Cohere's multilingual model can help companies analyze and understand customer feedback across different languages and markets.

Successful products like the iPhone quickly get tens of thousands of reviews on eCommerce marketplaces and on social media, which are written in many languages. Getting insights from these reviews enables companies to better understand their customer base and to better drive their product roadmap.

However, methods for content aggregation only worked well for English, and it wasn’t possible to see patterns across languages or to compare markets.

![](/_fern-img/60c4eb1d8f8711eb4eab7c2777751bcd54c16fef53cf4ca60adffa4cdbaa58de.webp)
Cohere’s multilingual model maps text in different languages to the same vector spaces, allowing users to derive insights across languages and find patterns for specific markets (e.g., which markets care about the picture quality of smartphones).