RRepoGEO

REPOGEO REPORT · LITE

cohnen/mcp-google-ads

Default branch main · commit 461a1d67 · scanned 6/2/2026, 5:03:11 PM

GitHub: 633 stars · 143 forks

AI VISIBILITY SCORE
20 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
0 / 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 cohnen/mcp-google-ads, 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

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

OVERALL DIRECTION
  • highreadme#1
    Update README H1 and first sentence for clearer conversational AI positioning

    Why:

    CURRENT
    # Google Ads MCP

A tool that connects Google Ads with Claude AI, allowing you to analyze your advertising data through natural language conversations.
    COPY-PASTE FIX
    # Google Ads Conversational AI for Campaign Management (MCP)

This tool connects Google Ads with Claude AI (and other LLMs like Cursor/Windsurf), enabling you to analyze and manage your advertising data through natural language conversations, transforming how you interact with your campaigns.
  • mediumtopics#2
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    ai, claude, google-ads, mcp, mcp-server
    COPY-PASTE FIX
    ai, claude, google-ads, mcp, mcp-server, conversational-ai, llm-integration, marketing-analytics, ad-management, natural-language-processing, advertising-automation, gen-ai
  • mediumreadme#3
    Add a concise 'What it is' statement after the introduction

    Why:

    COPY-PASTE FIX
    Unlike traditional dashboards or programmatic APIs, this tool provides a natural language interface to your Google Ads data, allowing you to ask questions, get insights, and manage campaigns directly through chat with an AI assistant.

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 cohnen/mcp-google-ads
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ThoughtSpot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ThoughtSpot · recommended 1×
  2. Tableau CRM · recommended 1×
  3. Einstein Discovery · recommended 1×
  4. Microsoft Power BI · recommended 1×
  5. Google Looker · recommended 1×
  • CATEGORY QUERY
    How can I analyze advertising campaign data through natural language conversations with an AI?
    you: not recommended
    AI recommended (in order):
    1. ThoughtSpot
    2. Tableau CRM
    3. Einstein Discovery
    4. Microsoft Power BI
    5. Google Looker
    6. Dialogflow
    7. DataRobot
    8. Yellowfin BI
    9. OpenAI GPT-4/ChatGPT API
    10. Google Gemini API
    11. LangChain (langchain-ai/langchain)
    12. LlamaIndex (run-llama/llama_index)
    13. dbt (dbt-labs/dbt-core)
    14. Cube.dev (cube-js/cube)

    AI recommended 14 alternatives but never named cohnen/mcp-google-ads. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools offer conversational insights for digital advertising campaign management and optimization?
    you: not recommended
    AI recommended (in order):
    1. Drift
    2. Intercom
    3. Qualtrics XM Discover
    4. Brandwatch
    5. Sprinklr
    6. Talkwalker

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

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 cohnen/mcp-google-ads?
    pass
    AI did not name cohnen/mcp-google-ads — 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?

  • If a team adopts cohnen/mcp-google-ads in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name cohnen/mcp-google-ads — 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?

  • In one sentence, what problem does the repo cohnen/mcp-google-ads solve, and who is the primary audience?
    pass
    AI did not name cohnen/mcp-google-ads — 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?

Embed your GEO score

Drop this badge into the README of cohnen/mcp-google-ads. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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cohnen/mcp-google-ads — 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