RRepoGEO

REPOGEO REPORT · LITE

kaktusesquire6rmu/ai-polymarket-agent

Default branch main · commit f035e47b · scanned 6/3/2026, 7:18:03 AM

GitHub: 300 stars · 13 forks

AI VISIBILITY SCORE
10 /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
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 kaktusesquire6rmu/ai-polymarket-agent, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT License) to the root of the repository.
  • mediumreadme#2
    Strengthen the README's opening paragraph to emphasize the AI agent's purpose

    Why:

    CURRENT
    # 🤖 Polymarket MCP Server: Trade Prediction Markets with AI Agents
Connect Polymarket to your AI. The official-like MCP implementation for real-time prediction market analysis, automated odds tracking, and AI-powered trading insights.
    COPY-PASTE FIX
    # 🤖 Polymarket MCP Server: Trade Prediction Markets with AI Agents
This repository provides an AI agent that enables Claude, ChatGPT, and other AI models to analyze markets, fetch real-time odds, and execute trades on Polymarket using the Model Context Protocol (MCP). It's an official-like MCP implementation for real-time prediction market analysis, automated odds tracking, and AI-powered trading insights.

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 kaktusesquire6rmu/ai-polymarket-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Polymarket API · recommended 1×
  3. Kalshi API · recommended 1×
  4. Manifold Markets API · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    How to integrate large language models with prediction market platforms for automated trading?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Polymarket API
    3. Kalshi API
    4. Manifold Markets API
    5. Hugging Face Transformers
    6. Llama 2
    7. Mistral
    8. AWS SageMaker
    9. Google Cloud AI Platform
    10. Hugging Face Inference Endpoints
    11. LangChain
    12. LlamaIndex
    13. Google News API
    14. Bloomberg Terminal API
    15. Twitter API
    16. Pinecone
    17. Weaviate
    18. OpenAI Embeddings
    19. Hugging Face Sentence Transformers

    AI recommended 19 alternatives but never named kaktusesquire6rmu/ai-polymarket-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework allows AI agents to interact with real-time financial markets for trading?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean) (QuantConnect/Lean)
    2. Zipline (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. Alpaca-py (Alpaca API) (alpacahq/alpaca-py)
    5. PyAlgoTrade (gbeced/pyalgotrade)
    6. OpenBB Terminal (formerly Gamestonk Terminal) (OpenBB-finance/OpenBBTerminal)

    AI recommended 6 alternatives but never named kaktusesquire6rmu/ai-polymarket-agent. 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 kaktusesquire6rmu/ai-polymarket-agent?
    pass
    AI did not name kaktusesquire6rmu/ai-polymarket-agent — 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 kaktusesquire6rmu/ai-polymarket-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name kaktusesquire6rmu/ai-polymarket-agent — 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 kaktusesquire6rmu/ai-polymarket-agent solve, and who is the primary audience?
    pass
    AI did not name kaktusesquire6rmu/ai-polymarket-agent — 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

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kaktusesquire6rmu/ai-polymarket-agent — 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