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How to automate PR monitoring with AI workflows

Blog post from CodeWords

Post Details
Company
Date Published
Author
Osman Ramadan
Word Count
335
Company Posts That Month
636
Language
English
Hacker News Points
-
Post removed?
No
Summary

Automated PR monitoring using AI workflows provides a sophisticated method for tracking mentions of a company across various platforms such as news articles, social media, blogs, forums, and podcasts, offering real-time analysis of sentiment and relevance. By constructing a pipeline on CodeWords, users can utilize web scraping, large language model (LLM) analysis, and numerous integrations to efficiently gather and analyze data from sources like Google News, Reddit, and Hacker News. The process involves querying services to detect mentions, extracting article text, analyzing sentiment, deduplicating mentions, and posting summaries on platforms like Slack, while flagging negative coverage for immediate review. AI monitoring surpasses traditional keyword alerts by understanding context and sentiment, allowing companies to respond more effectively to media mentions, with studies like Brandwatch's 2024 report indicating that AI-powered analysis enables faster responses to negative press compared to keyword-based systems.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 2 9,814 1,776 243 +42%
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