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Documentation Index

Fetch the complete documentation index at: https://searchconsolemcp.saurabh.app/llms.txt

Use this file to discover all available pages before exploring further.

The Analytics tools are the foundation of your SEO agent’s knowledge. They allow you to pull basic data or perform complex time-series analysis across Google Search Console, Bing, and Google Analytics 4.

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Core Tools

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query_analytics (Google) & bing_analytics_query (Bing)

These are your primary tools for getting raw keyword data. They support filtering and dimension grouping.
  • When to use: When you need a specific list of keywords, pages, or country-level data.
  • Best for: “List the top 10 keywords for the last 30 days.”

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compare_periods (Google) & bing_analytics_compare_periods (Bing)

Calculates the delta between two time windows.
  • When to use: When you need to see if you are growing or shrinking.
  • Best for: “Compare this week’s performance to last week.”

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analytics_page_performance (GA4)

Detailed page metrics from Google Analytics 4, including sessions, engagement rates, and unique views.
  • When to use: When you need to understand how users behave after they click from search results.
  • Best for: “Show me the engagement rate for my top landing pages.”

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Advanced Analysis

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analytics_time_series (Google) & bing_analytics_time_series (Bing)

The “brain” of our analytics suite. It calculates rolling averages (to smooth out weekend dips), detects seasonality, and provides simple forecasting.
  • When to use: To understand long-term trends or identify the exact day a drop started.
  • What problem it solves: Distinguishing between a “bad day” and a “downward trend.”

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analytics_drop_attribution (Google) & bing_analytics_drop_attribution (Bing)

Correlates traffic drops with known algorithm updates or device-specific issues.
  • When to use: When you see a sudden decline.
  • What problem it solves: Instantly tells you if a drop coincides with a Core Update.

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Example Agent Prompts

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1. Checking specific performance

“Run a performance report for https://example.com comparing January to December. Segment the data by device (mobile vs. desktop).“
“Analyze the click trend for my top 5 keywords over the last 90 days. Use a 7-day rolling average to clean up the data.”

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3. Regional analysis

“Which country had the highest growth in CTR for keywords containing ‘premium’ in the last 6 months?”