The Brand Content Extract, Summarization & Sentiment Analysis workflow is designed for professionals and teams who need to monitor, understand, and act on public brand perception at scale.
It is ideal for:
Brand Managers - Looking to track how their brand is portrayed online.
Marketing Analysts - Seeking insights from competitor and industry content.
PR & Communications Teams - Evaluating media tone and potential reputation risks.
Data Scientists & AI Developers - Automating content intelligence pipelines.
Growth Hackers - Performing large-scale web listening for campaign optimization.
Manually tracking and interpreting how your brand is mentioned across blogs, news sites, or product reviews is labor-intensive and unscalable. Traditional scraping tools return raw data but lack insights like summarization, sentiment analysis etc.
This workflow addresses:
Scalable extraction of brand-related content using Bright Data's infrastructure.
Textual data extract for easy decision-making or alerting.
Automated summarization of verbose or multi-paragraph articles using Gemini.
Sentiment analysis of how a brand is being portrayed.
Receives input: A brand URL for the data extraction and analysis.
Uses Bright Data's Web Unlocker to extract content from relevant sites.
Cleans and preprocesses the scraped content for readability.
Sends the content to Google Gemini for:
Enriched results including:
Cleaned content
Summary
Sentiment Analysis
Sends the response to a target system via Webhook notification
Perists the response to disk
Update Source : Update the workflow input to read from Google Sheet or Airbase for dynamically tracking multiple brands or topics.
AI Prompt Customization : Tailor Gemini prompts for:
Summary length (brief vs. detailed)
Detailed Sentiment with the custom structured data format.
Brand-specific tone detection (e.g., trust, excitement, dissatisfaction)
Output Destinations: Configure the output node to send the responses to various platforms, such as Slack, CRM systems, or databases.