Content Analysis Examples¶
Learn how to use RivalSearchMCP to analyze, summarize, and extract insights from web content.
Basic Content Examples¶
Summarize an Article¶
Prompt: "Read and summarize the main points of this article about renewable energy"
What happens: Extracts the key content and provides a concise summary with main takeaways.
Extract Data from a Table¶
Prompt: "Extract the data from this table showing quarterly sales figures"
What happens: Identifies and extracts structured data from tables and lists.
Analyze a Research Paper¶
Prompt: "Analyze this research paper and extract the methodology, findings, and conclusions"
What happens: Breaks down academic content into structured sections for easy understanding.
Advanced Content Examples¶
Multi-Source Analysis¶
Prompt: "Compare the coverage of the same news story across 3 different news websites"
What happens: Analyzes multiple sources and highlights differences in reporting and perspective.
Content Comparison¶
Prompt: "Compare the product descriptions of iPhone 15 on Apple's website vs. Best Buy"
What happens: Extracts and compares content from different sources to identify variations.
Deep Content Mining¶
Prompt: "Extract all the key statistics and data points from this research report"
What happens: Identifies and organizes numerical data and key metrics from complex documents.
Content Analysis Tips¶
- Be specific about what you want extracted
- Ask for structured output when dealing with data
- Request comparisons to see different perspectives
- Specify format for summaries (bullet points, paragraphs, etc.)
- Ask for key insights to get the most important information
Common Use Cases¶
- Research summaries - Get quick overviews of long articles
- Data extraction - Pull structured information from web pages
- Content comparison - Compare information across sources
- Academic research - Analyze research papers and studies
- Market research - Extract insights from industry reports