RRepoGEO

REPOGEO REPORT · LITE

Polymarket/agents

Default branch main · commit 081f2b55 · scanned 6/26/2026, 11:43:02 PM

GitHub: 3,695 stars · 816 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 Polymarket/agents, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, prediction-markets, autonomous-trading, polymarket, web3, decentralized-finance, defi, machine-learning, python
  • highabout#2
    Clarify the About description to emphasize the developer framework aspect

    Why:

    CURRENT
    Trade autonomously on Polymarket using AI Agents
    COPY-PASTE FIX
    A developer framework and toolkit for building AI agents to trade autonomously on Polymarket.
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/polymarket/agents

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 Polymarket/agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Python
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Python · recommended 1×
  2. ethereum/web3.py · recommended 1×
  3. pandas-dev/pandas · recommended 1×
  4. psf/requests · recommended 1×
  5. aio-libs/aiohttp · recommended 1×
  • CATEGORY QUERY
    How can I build AI agents for autonomous trading on prediction markets?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. web3.py (ethereum/web3.py)
    3. pandas (pandas-dev/pandas)
    4. requests (psf/requests)
    5. aiohttp (aio-libs/aiohttp)
    6. Scikit-learn (scikit-learn/scikit-learn)
    7. XGBoost (dmlc/xgboost)
    8. LightGBM (microsoft/LightGBM)
    9. PyTorch (pytorch/pytorch)
    10. TensorFlow/Keras (tensorflow/tensorflow)
    11. Hugging Face Transformers (huggingface/transformers)
    12. RLlib (ray-project/ray)
    13. Stable Baselines3 (DLR-RM/stable-baselines3)
    14. Docker (moby/moby)
    15. Google Cloud Platform
    16. Amazon Web Services
    17. Microsoft Azure
    18. Compute Engine
    19. EC2
    20. Virtual Machines
    21. Cloud Functions
    22. Lambda
    23. Azure Functions

    AI recommended 23 alternatives but never named Polymarket/agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for developing AI-powered trading bots for decentralized markets?
    you: not recommended
    AI recommended (in order):
    1. Hardhat
    2. Foundry
    3. Web3.js
    4. Ethers.js
    5. Web3.py
    6. Brownie
    7. OpenAI Gym
    8. Stable Baselines3
    9. TensorFlow
    10. PyTorch
    11. Dune Analytics
    12. The Graph

    AI recommended 12 alternatives but never named Polymarket/agents. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 Polymarket/agents?
    pass
    AI named Polymarket/agents explicitly

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

  • If a team adopts Polymarket/agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Polymarket/agents 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 Polymarket/agents solve, and who is the primary audience?
    pass
    AI named Polymarket/agents explicitly

    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 Polymarket/agents. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/Polymarket/agents.svg)](https://repogeo.com/en/r/Polymarket/agents)
HTML
<a href="https://repogeo.com/en/r/Polymarket/agents"><img src="https://repogeo.com/badge/Polymarket/agents.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Polymarket/agents — 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