RRepoGEO

REPOGEO REPORT · LITE

xenodium/chatgpt-shell

Default branch main · commit cbad6ffc · scanned 5/14/2026, 3:48:15 AM

GitHub: 1,207 stars · 106 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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
  • hightopics#1
    Expand repository topics to improve category visibility

    Why:

    CURRENT
    chatgpt, dall-e, emacs, org-mode
    COPY-PASTE FIX
    chatgpt, dall-e, emacs, org-mode, llm, ai, generative-ai, emacs-lisp, emacs-package, multi-llm
  • highreadme#2
    Reposition README H1 to highlight unique editing integrations

    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 for iterative AI conversations, featuring deep editing integrations to refine prompts and responses from models like ChatGPT, Claude, DeepSeek, Gemini, Kagi, Ollama, and Perplexity.
  • mediumreadme#3
    Add a 'Why chatgpt-shell?' section to clarify unique value

    Why:

    COPY-PASTE FIX
    ## Why chatgpt-shell?

Unlike other Emacs LLM integrations, chatgpt-shell provides deep editing capabilities, allowing users to modify previous prompts and responses directly within the conversation history for highly iterative and corrective interactions. It also offers broad multi-LLM support within a unified Emacs shell environment.

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 xenodium/chatgpt-shell
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
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. gptel · recommended 2×
  3. ollama.el · recommended 2×
  4. emacs-openai · recommended 2×
  5. copilot.el · recommended 1×
  • CATEGORY QUERY
    How can I use different large language models within my Emacs text editor environment?
    you: not recommended
    AI recommended (in order):
    1. llm.el
    2. gptel
    3. ollama.el
    4. emacs-openai
    5. copilot.el
    6. GitHub Copilot
    7. chatgpt.el

    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-based solution for interacting with AI assistants and integrating responses into documents.
    you: not recommended
    AI recommended (in order):
    1. org-ai
    2. llm.el
    3. gptel
    4. emacs-openai
    5. ollama.el

    AI recommended 5 alternatives but never named xenodium/chatgpt-shell. This is the gap to close.

    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 did not name xenodium/chatgpt-shell — 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 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?

Embed your GEO score

Drop this badge into the README of xenodium/chatgpt-shell. 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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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