Chat with your Stilingue data

AI to analyze Stilingue data with Claude and ChatGPT

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No credit card required | 14 days | 10 million records | 30 pipelines

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Stilingue
You
Which Stilingue hashtag showed the highest positive sentiment yesterday?
Stilingue Hashtags
The campaign tag #SummerLaunch recorded 847 positive mentions with a 78% positivity rate.
Via Kondado MCP
You
What is the total polarity classified for our brand theme this week?
Stilingue Themes
Your monitored theme accumulated 12,456 classified interactions, with 62% positive sentiment.
Via Kondado MCP
You
Which customer group generated the most negative sentiment mentions?
Stilingue Groups
The Premium Support group registered 234 negative mentions, representing 23% of their total volume.
Via Kondado MCP
You
How many neutral sentiment entries did our top tag receive today?
Stilingue Tags
The ProductFeedback tag received 1,892 neutral classifications, showing balanced audience reception.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze Stilingue data with Claude and ChatGPT

Ask Claude, ChatGPT or any MCP client about your Stilingue social listening data using simple conversational chat. Query sentiment distribution across trending hashtags, compare polarity between competing brand themes, or identify which specific terms generate the most negative mentions without writing SQL or exporting manual spreadsheets. Discover emerging reputation risks before they escalate, validate campaign resonance by tracking positive sentiment volume, or investigate neutral engagement patterns by asking natural questions about your 139 available data fields.

Kondado replicates Stilingue data through an MCP server, enabling Claude, ChatGPT and other MCP clients to query 5 sentiment pipelines covering terms, themes, hashtags, tags and groups. The same data also powers ready reports in Power BI and Looker Studio.

Marketing analysts monitor brand health by asking Claude about daily sentiment shifts across campaign hashtags. E-commerce managers track customer experience trends by querying ChatGPT about polarity scores across product categories and tags. Customer success teams investigate negative sentiment clusters within specific audience groups to prioritize urgent responses. Community managers compare theme performance metrics to optimize content calendars and messaging tone. All teams receive instant analytical answers through conversational chat, turning complex social listening data into strategic intelligence without technical complexity.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your Stilingue data by Kondado in minutes.

View Stilingue dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your Stilingue data in natural language.

View MCP setup →

The five sentiment pipelines below expose every dimension of your Stilingue social listening coverage. The Sentiment by Hashtags pipeline reveals which campaign tags drive positive buzz versus controversial traction, while Sentiment by Themes shows broad topic polarity across your monitored categories. Sentiment by Terms isolates specific word performance, and Sentiment by Tags tracks custom classification labels you have applied to conversations. Sentiment by Groups breaks down audience segment reactions, helping you understand how different communities perceive your brand. Cross-analyze these pipelines to discover which hashtags perform best within high-value groups, or compare term sentiment against thematic trends to validate messaging alignment and identify content opportunities. Data refreshes on a configurable schedule, ensuring your chat queries reflect the latest social conversations and emerging sentiment patterns with minimal latency.

How to connect Stilingue to Claude, ChatGPT and other AI clients

MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.

Kondado MCP server: https://mcp.kondado.io/mcp
Detailed guide: Claude Detailed guide: ChatGPT
AI vocabulary

Stilingue tables and metrics available via Kondado

Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.

5
Tables
139
Fields
∞
Ad-hoc questions
Sentiment by Terms
Analyzes sentiment towards specific terms, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified.
Sentiment by Themes
Evaluates sentiment towards themes, including metrics such as total, positive, negative, and neutral, along with total_polarity_classified.
Sentiment by Hashtags
Examines sentiment associated with hashtags, featuring metrics such as total, positive, negative, and neutral, along with total_polarity_classified.
Sentiment by Tags
Investigates sentiment towards tags, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified.
Sentiment by Groups
Analyzes sentiment towards groups, with metrics such as total, positive, negative, and neutral, along with total_polarity_classified.
Full docs on the wiki → Connect Stilingue now →

How to connect and use AI with your data

In 3 steps: connect on Kondado, pick dashboard or chat, analyze.

1
Connect Stilingue on Kondado

Visit app.kondado.com.br to set up your Stilingue data source and select a Via Kondado destination. Your sentiment data lands ready for immediate AI access and powers the dashboard templates simultaneously.

2
Add Kondado MCP in Claude or ChatGPT

In Claude Web or Desktop, or directly in ChatGPT, open the connection settings and add the Kondado MCP server. Authorize once via OAuth at app.kondado.com.br to enable querying. Both clients use identical GUI configuration with no command line steps required.

3
Query Stilingue data in chat

Ask Claude or ChatGPT natural language questions about your sentiment metrics across terms, themes, and hashtags. For recurring visual monitoring, open a ready Power BI or Looker Studio report template populated with the same data.

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Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.

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Marketing and Automation

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Advertising and Media

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YouTube YouTube

E-commerce and Marketplaces

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Support and Customer Service

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Social Media

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Related on Kondado

Frequently asked questions about AI

How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.

What business questions can Claude or ChatGPT answer about my Stilingue data in chat? ▼
Claude and ChatGPT can answer questions like "Which hashtags showed the highest positive sentiment this week?" or "Compare negative sentiment volume across my monitored themes." They calculate ratios, identify trends in total_polarity_classified metrics, and rank performance across your five sentiment pipelines. The AI interprets your 139 fields to provide contextual insights about brand perception and customer experience trends.
How do I configure Claude or ChatGPT to access my Stilingue data through Kondado? ▼
In Claude Web or Desktop, navigate to the MCP server settings and add the Kondado endpoint. In ChatGPT, access the connection settings and select the Kondado MCP server. Both clients use the same GUI-based configuration: paste the server URL, authenticate once via OAuth at app.kondado.com.br, and authorize data access. No command line tools or JSON editing is required.
Can the AI execute actions on Stilingue or write data back to the platform? ▼
No, the connection provides read-only analytical access. Claude, ChatGPT and other MCP clients can query your replicated sentiment data to generate insights and answer questions, but they cannot post responses, update tags, or modify any data within your Stilingue account. This ensures safe exploration of social listening metrics without risk of accidental changes.
How does authentication work when connecting Claude or ChatGPT to Kondado? ▼
Authentication uses OAuth through app.kondado.com.br. When you add the Kondado MCP server in Claude or ChatGPT, the client redirects you to the Kondado web application where you sign in and authorize access. This one-time authorization establishes a connection that persists across chat sessions, eliminating the need to re-enter credentials each time you query your Stilingue data.
How frequently is my Stilingue data updated for AI queries? ▼
Updates occur on a configurable schedule that you set in the Kondado platform. Depending on your monitoring needs, you can choose near-real-time refreshes for crisis management or daily updates for regular brand health tracking. This ensures Claude and ChatGPT always reference current sentiment metrics when answering your questions about terms, themes, and hashtags.
What dashboard templates are available for visual monitoring of Stilingue data? ▼
Kondado offers ready reports in Power BI and Looker Studio that visualize the same sentiment data available through AI chat. These templates display trend lines for positive and negative polarity, distribution charts across your five pipelines, and comparison matrices for themes and tags. They complement conversational analysis by providing recurring visual snapshots of brand sentiment.
What is the difference between asking the AI in chat versus opening a ready dashboard? ▼
Chat interaction with Claude or ChatGPT enables exploratory, on-demand analysis where you ask specific questions like "Why did negative sentiment spike yesterday?" and receive contextual answers. Ready dashboards in Power BI or Looker Studio provide fixed visual monitoring with automated refresh, ideal for recurring stakeholder reports and at-a-glance metric tracking. Both use the same underlying Stilingue data replicated through Kondado.
Can I use other MCP clients besides Claude and ChatGPT to analyze Stilingue data? ▼
Yes, any MCP-compatible client can connect to Kondado's server. While Claude and ChatGPT are the most popular options for business users, other MCP clients also work with the same OAuth authentication and pipeline access. This flexibility allows you to choose your preferred conversational interface while maintaining consistent access to your five Stilingue sentiment pipelines.

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