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🇹🇷 Turkey /Technology

BraindPower uses AI to analyze more than 1 million digital mentions a day

From Cumhuriyet · () Turkish

Translated from Turkish and summarized by DistantNews. Read the original for the full story.

At a glance

In-depth Official statement Context piece
  • BraindPower gathers social media posts, news, forums, user comments and complaints in one platform for AI analysis.
  • The system tracks more than 1 million digital mentions a day across over 10 platforms and sources, operating continuously in real time.
  • Its tools assess sentiment, emerging topics, risks and opportunities in more than 50 languages, while its crisis alerts identify developing patterns of negative activity.

BraindPower is bringing fragmented digital conversations into a single view, analyzing more than 1 million mentions every day with artificial intelligence. The platform collects data from social media, news reports, forums, user comments and complaints, giving communications teams a broader picture of how their brands are being discussed.

More than 100 brands and agencies use the platform, which monitors over 10 platforms and sources around the clock. Its AI engine analyzes intent, sentiment, context and linguistic nuance in more than 50 languages. BraindPower also offers a 99.9% uptime guarantee.

The platform links monitoring, analysis, insights, content planning, publishing and reporting in one workflow. Teams can follow mention volumes, sentiment distribution, prominent concepts, influential users and changes in public perception from a single screen. The system also provides social listening, sentiment and attitude analysis, news and media monitoring, X and YouTube analysis, and complaint analysis.

BraindPower General Manager Refik Söylemez said digital analysis should answer three basic questions: “What are people saying about my brand, how do they feel about it, and where are these conversations heading?” An increase in discussion volume alone does not show whether the result is positive or negative. The platform examines sentiment shifts, word frequency, topics and user behavior to determine whether the increase reflects interest in a campaign, repeated customer complaints or a growing crisis.

Its crisis alert system highlights sudden increases in negative comments, recurring complaints, sensitive topic clusters and growing concentration around an issue. It does not treat every negative post as a crisis. By separating isolated comments from broader patterns, the system helps communications teams assess risks before an issue spreads and decide how to respond.

What are people saying about my brand, how do they feel about it, and where are these conversations heading?

· Refik SöylemezBraindPower's general manager described the three questions he believes digital analysis should answer.
About this summary

Originally published by Cumhuriyet in Turkish. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.

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