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Brandnata Social Media
Brandnata Social Media

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We built an AI tool to track brand sentiment across the internet

If you've ever tried to manage a brand's reputation, you know the struggle. You have 10 tabs open: one for Reddit searches, one for Twitter (X) mentions, another for YouTube comments, and Google News alerts flooding your inbox.

Trying to make sense of this data—let alone calculating sentiment or ROI—is a nightmare. Most enterprise tools that solve this are clunky, incredibly expensive, or just give you "vanity metrics" without actionable insights.

The Solution: BrandNata 🚀 We built BrandNata to solve this data silo problem. It’s an AI-powered Brand Intelligence Platform that unifies tracking, measurement, and optimization into a single dashboard.

What it actually does: Instead of just "listening," BrandNata aggregates data from multiple sources to give you a complete picture of your brand's health.

Unified Monitoring: It tracks mentions across News, Reddit, YouTube, X, and Web Search in real-time. No more tab switching.

AI Sentiment Analysis: It doesn't just count mentions; it analyzes the tone. You can spot a PR crisis (or a viral win) before it blows up.

Budget Optimization: It uses predictive modeling to identify where you're overspending on ads and suggests where to reallocate budget for better ROI.

Campaign Management: We support tracking for complex setups (even 200+ entities) to keep large teams aligned.

Tech Challenge 🛠️ One of the hardest parts of building this was the Unified Data Integration. Normalizing data from a Reddit thread vs. a YouTube comment vs. a News article so they can be compared side-by-side in a "Brand Presence Index" was a fun challenge.

I'd love your feedback! We are currently refining our Forecasting & Benchmarks features. I’d love for you to check it out and let me know:

What’s the one metric you wish you could track but currently can't?

How do you currently handle "sentiment" tracking? (Spreadsheets? Gut feeling?)

Check it out here:(brandnata.com)

Thanks for reading! Happy to answer any technical questions in the comments.

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