Serp Analyzer

What it does

The serp-analyzer skill enables AI agents to retrieve and process search engine results pages (SERPs) directly. It allows agents to fetch live data from search engines, parse the returned HTML structure, and extract relevant information like titles, snippets, and URLs for immediate analysis or reporting.

When to use it

• Market Research: Quickly gather competitor pricing, feature lists, or recent news articles by querying specific industry keywords.
• Fact Verification: Cross-reference claims made in a conversation against current web results to ensure accuracy before responding.
• Trend Analysis: Monitor real-time search trends for specific events, product launches, or breaking news topics.
• Content Summarization: Automatically retrieve the top 10 results for a query and synthesize a summary of the collective information found across those pages.

Key capabilities

• Executes live searches against configured search engines.
• Parses raw HTML responses from SERPs to identify result cards and links.
• Extracts structured data including page titles, meta descriptions, and canonical URLs.
• Returns clean text summaries of search results without requiring manual browsing.

Example prompts

• "Search for the latest reviews on the new iPhone 16 and summarize the top three pros and cons mentioned in the snippets."
• "Find current stock prices and recent news headlines for Tesla, then list the top two sources for further reading."
• "Query search results for 'best hiking boots under $100' and extract the product names and prices from the first five listings."

Tips & gotchas

• Dynamic Content: Results may vary based on your location settings or the specific search engine configured within the agent's environment.
• Parsing Limits: Extremely complex SERP layouts with heavy JavaScript rendering might not parse correctly if the tool relies solely on static HTML snapshots.