RRepoGEO

REPOGEO REPORT · LITE

xenodium/chatgpt-shell

Default branch main · commit cbad6ffc · scanned 6/24/2026, 3:37:53 PM

GitHub: 1,212 stars · 107 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
59 /100
Needs work
Category recall
1 / 2
Avg rank #7.0 when recommended
Rule findings
2 pass · 0 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 xenodium/chatgpt-shell, 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
    Clarify Emacs workflow integration in README's opening

    Why:

    CURRENT
    A multi-llm Emacs [[https://www.gnu.org/software/emacs/manual/html_node/emacs/Shell-Prompts.html][comint]] shell, by [[https://lmno.lol/alvaro][me]].
    COPY-PASTE FIX
    A multi-LLM Emacs [[https://www.gnu.org/software/emacs/manual/html_node/emacs/Shell-Prompts.html][comint]] shell designed for seamless integration into your Emacs workflow, by [[https://lmno.lol/alvaro][me]].
  • mediumtopics#2
    Expand repository topics with specific LLM providers and broader categories

    Why:

    CURRENT
    chatgpt, dall-e, emacs, org-mode
    COPY-PASTE FIX
    chatgpt, dall-e, emacs, org-mode, llm, generative-ai, ai-integration, emacs-package, claude, deepseek, gemini, kagi, ollama, perplexity
  • lowreadme#3
    Prominently feature multi-LLM support in the README

    Why:

    COPY-PASTE FIX
    Add a new top-level section, e.g., '* Key Features * Multi-LLM Support: Seamlessly interact with a wide range of models including ChatGPT, Claude, DeepSeek, Gemini, Kagi, Ollama, and Perplexity, all from your Emacs shell.'

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
1 / 2
50% of queries surface xenodium/chatgpt-shell
Avg rank
#7.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
llm.el
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. llm.el · recommended 2×
  2. copilot.el · recommended 2×
  3. gptel · recommended 2×
  4. emacs-openai · recommended 1×
  5. ollama.el · recommended 1×
  • CATEGORY QUERY
    How to integrate various large language models directly into my Emacs workflow?
    you: not recommended
    AI recommended (in order):
    1. llm.el
    2. copilot.el
    3. gptel
    4. emacs-openai
    5. ollama.el
    6. chatgpt.el
    7. magit-llm

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking an Emacs solution to interact with AI models for text generation and editing.
    you: #7
    AI recommended (in order):
    1. emacs-copilot
    2. llm.el
    3. gptel
    4. copilot.el
    5. openai.el
    6. org-ai
    7. chatgpt-shell ← you
    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 xenodium/chatgpt-shell?
    pass
    AI named xenodium/chatgpt-shell explicitly

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

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

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

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xenodium/chatgpt-shell — 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