# Voice of the Customer Analytics

> Sift AI agents surface themes and sentiment across social conversations. Ask SiftGPT questions in the app, Slack, or supported MCP tools.

Canonical: https://www.getsift.ai/voice-of-the-customer/

## Hear the pattern. Read the conversations.

Turn social conversations into customer insight. Explore the themes, see what is changing, and follow the evidence back to its source.

[Explore AI Analytics](https://docs.getsift.ai/docs/analyze/analytics/ai-analytics)

## Move from a theme to the details.

AI Analytics organizes conversations into topics your team can explore. Compare the signals, then read the records behind them.

### See the conversation

Explore an AI-generated topic hierarchy with mention counts, sentiment, and response rates.

### Notice what changes

Compare topic trends over time and use the seven-day change to spot shifts in discussion.

### Open the evidence

Drill into a topic or tag to read the underlying records before drawing a conclusion.

## Listen beyond the inbox.

Collect public posts around the keywords that matter to your team. Listening rules help separate relevant conversations from noise.

- Collect from X, Threads, Instagram hashtags, TikTok, and YouTube.
- Review why a post was kept or archived, and promote it to the inbox.
- Receive Slack alerts for configured watch conditions and volume spikes.

[Explore social listening](https://docs.getsift.ai/docs/sources/listening)

## Ask the next question.

Ask SiftGPT about connected data and your knowledge base in plain language. Scope a question to the sources, channels, or people you want to understand.

Use a scheduled agent for a question worth asking again. Choose when it runs and who receives the report.

[Explore SiftGPT](https://docs.getsift.ai/docs/sift-ai/chat)

Built for teams at

coinbase Circle![ElevenLabs](https://www.getsift.ai/logos/elevenlabs.svg)

## Bring customer conversations into focus.

See the themes, investigate the evidence, and share what your team learns.

## Voice of the customer questions

From social conversations to evidence your team can inspect.

### What is voice of the customer analysis?

Voice of the customer analysis turns feedback and conversations into themes a team can investigate. Use it to understand recurring questions, concerns, and changes in customer sentiment.

[Read the voice of customer guide](https://www.getsift.ai/blog/what-is-voice-of-customer/)

### How does Sift find themes and trends?

Sift's AI Analytics groups conversations by topic and shows sentiment, mention counts, response rates, and changes over time. Open a topic to inspect its underlying records.

[Explore AI Analytics](https://docs.getsift.ai/docs/analyze/analytics/ai-analytics)

### Can we check the conversations behind an insight?

Yes. Sift lets you drill into the records behind topics and tags. Read the underlying conversations before treating a pattern as a conclusion.

[See analytics and source records](https://docs.getsift.ai/docs/analyze/analytics/ai-analytics)

### Can an AI assistant ask questions about Sift data?

An MCP-compatible assistant can search Sift and query analytics within the signed-in person's permissions. Access depends on the organization's settings.

[See how agent access works](https://www.getsift.ai/agents/)