RRepoGEO

REPOGEO REPORT · LITE

xLmiler/grok2api_python

Default branch main · commit 3a52f47d · scanned 6/14/2026, 10:13:10 PM

GitHub: 576 stars · 192 forks

AI VISIBILITY SCORE
17 /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
1 / 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 xLmiler/grok2api_python, 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
  • highabout#1
    Add a concise About section description

    Why:

    COPY-PASTE FIX
    A Python-based Docker solution to access Grok AI models via an OpenAI-compatible API, featuring Cloudflare bypass, multi-account support, and advanced model capabilities like image generation and deep search.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    grok, openai-api, llm-proxy, cloudflare-bypass, multi-account, python, docker, ai-models, image-generation, deep-search
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage rights for users and AI.

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 xLmiler/grok2api_python
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Python Library
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Python Library · recommended 1×
  2. LiteLLM · recommended 1×
  3. LangChain · recommended 1×
  4. llama-cpp-python · recommended 1×
  5. ollama · recommended 1×
  • CATEGORY QUERY
    How to access Grok AI models using an OpenAI-compatible API in Python?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Python Library
    2. LiteLLM
    3. LangChain
    4. llama-cpp-python
    5. ollama
    6. vLLM

    AI recommended 6 alternatives but never named xLmiler/grok2api_python. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for integrating Grok AI with Cloudflare bypass and multi-account support?
    you: not recommended
    AI recommended (in order):
    1. Puppeteer (puppeteer/puppeteer)
    2. Playwright (microsoft/playwright)
    3. Selenium (SeleniumHQ/selenium)
    4. GoLogin
    5. Dolphin Anty
    6. Multilogin
    7. Bright Data
    8. Oxylabs
    9. ScrapingBee
    10. requests (psf/requests)
    11. axios (axios/axios)
    12. cloudscraper (Veil-Framework/cloudscraper)
    13. Buster: Captcha Solver for Humans
    14. SessionBox
    15. Multi-Account Containers

    AI recommended 15 alternatives but never named xLmiler/grok2api_python. 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 xLmiler/grok2api_python?
    pass
    AI did not name xLmiler/grok2api_python — 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 xLmiler/grok2api_python in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xLmiler/grok2api_python 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 xLmiler/grok2api_python solve, and who is the primary audience?
    pass
    AI did not name xLmiler/grok2api_python — 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 xLmiler/grok2api_python. 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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xLmiler/grok2api_python — 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