RRepoGEO

REPOGEO REPORT · LITE

j178/chatgpt

Default branch main · commit a6f3b38c · scanned 6/4/2026, 7:22:03 AM

GitHub: 781 stars · 49 forks

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 j178/chatgpt, 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
  • highlicense#1
    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 (e.g., MIT, Apache-2.0, GPL-3.0) and add it to the repository root. If a specific license is already intended, use that one.
  • highreadme#2
    Enhance README opening to highlight interactive features and future multi-provider support

    Why:

    CURRENT
    # CLI for ChatGPT

A CLI for ChatGPT, powered by GPT-3.5-turbo and GPT-4 models.
    COPY-PASTE FIX
    # CLI for ChatGPT

An elegant, interactive command-line interface (CLI) for large language models, currently powered by GPT-3.5-turbo and GPT-4. Designed for developers and power users, it offers a comprehensive feature set for chat, pipeline integration, and will soon support other providers like Claude, Gemini, and Ollama.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/j178/chatgpt

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 j178/chatgpt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/openai-python
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/openai-python · recommended 2×
  2. simonw/llm · recommended 1×
  3. mshumer/aicli · recommended 1×
  4. therensselaeridea/sgpt · recommended 1×
  5. mckaywrigley/cligpt · recommended 1×
  • CATEGORY QUERY
    How can I use large language models like GPT-4 directly from my command line?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Python Library (openai/openai-python)
    2. llm (simonw/llm)
    3. OpenAI CLI (openai/openai-python)
    4. aicli (mshumer/aicli)
    5. shell_gpt (therensselaeridea/sgpt)
    6. cligpt (mckaywrigley/cligpt)
    7. gpt-cli (joshuablackburn/gpt-cli)

    AI recommended 7 alternatives but never named j178/chatgpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good command-line tools for integrating AI model responses into shell scripts?
    you: not recommended
    AI recommended (in order):
    1. ollama
    2. jq
    3. curl
    4. gcloud CLI
    5. az CLI
    6. openai-to-bash
    7. llama.cpp

    AI recommended 7 alternatives but never named j178/chatgpt. 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 j178/chatgpt?
    pass
    AI named j178/chatgpt explicitly

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

  • If a team adopts j178/chatgpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named j178/chatgpt 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 j178/chatgpt solve, and who is the primary audience?
    pass
    AI named j178/chatgpt 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 j178/chatgpt. 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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HTML
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j178/chatgpt — 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