RRepoGEO

REPOGEO REPORT · LITE

googleanalytics/google-analytics-mcp

Default branch main · commit 10996613 · scanned 5/24/2026, 6:57:11 PM

GitHub: 2,184 stars · 496 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface googleanalytics/google-analytics-mcp, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Update the About section description

    Why:

    COPY-PASTE FIX
    A local server providing tools to connect Large Language Models (LLMs) with Google Analytics Admin and Data APIs for programmatic access to website usage metrics.
  • highreadme#2
    Reposition the README's opening paragraph

    Why:

    CURRENT
    # Google Analytics MCP Server (Experimental)

... This repo contains the source code for running a local MCP server that interacts with APIs for Google Analytics.
    COPY-PASTE FIX
    # Google Analytics MCP Server (Experimental): Tools for LLMs

This repository contains the source code for running a local server that provides tools for connecting Large Language Models (LLMs) with Google Analytics Admin and Data APIs.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface googleanalytics/google-analytics-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI API · recommended 1×
  4. requests · recommended 1×
  5. json · recommended 1×
  • CATEGORY QUERY
    How can I connect large language models to my website usage metrics API?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. requests
    5. json
    6. Anthropic
    7. Hugging Face Transformers
    8. Zapier
    9. Make
    10. Apache NiFi

    AI recommended 10 alternatives but never named googleanalytics/google-analytics-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools exist for running a local server to access website analytics data programmatically?
    you: not recommended
    AI recommended (in order):
    1. Google Analytics Data API (GA4)
    2. Google Analytics Reporting API (Universal Analytics)
    3. Matomo (matomo-org/matomo)
    4. PostHog (PostHog/posthog)
    5. Mixpanel API
    6. Amplitude API

    AI recommended 6 alternatives but never named googleanalytics/google-analytics-mcp. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of googleanalytics/google-analytics-mcp?
    pass
    AI named googleanalytics/google-analytics-mcp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts googleanalytics/google-analytics-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named googleanalytics/google-analytics-mcp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo googleanalytics/google-analytics-mcp solve, and who is the primary audience?
    pass
    AI did not name googleanalytics/google-analytics-mcp — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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googleanalytics/google-analytics-mcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite