RRepoGEO

REPOGEO REPORT · LITE

rksm/org-ai

Default branch master · commit 71a6ea50 · scanned 6/16/2026, 6:18:19 AM

GitHub: 818 stars · 64 forks

AI VISIBILITY SCORE
28 /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
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 rksm/org-ai, 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
    Reposition the README's opening statement to clarify its core identity

    Why:

    CURRENT
    Minor mode for Emacs org-mode that provides access to generative AI models.
    COPY-PASTE FIX
    org-ai: An Emacs Org-mode minor mode that transforms Emacs into your personal AI assistant, providing deep integration with generative AI models for text and image generation, plus speech input/output.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://melpa.org/#/org-ai
  • mediumtopics#3
    Expand repository topics to include more specific Emacs and Org-mode identifiers

    Why:

    CURRENT
    ai, chatgpt, emacs, generative-models, gpt, llms
    COPY-PASTE FIX
    ai, chatgpt, emacs, emacs-lisp, emacs-package, generative-models, gpt, llms, org-mode

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 rksm/org-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Text-to-Speech API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech API · recommended 2×
  2. OpenAI API (GPT-4, DALL-E 3) · recommended 1×
  3. Google Cloud Vertex AI (Gemini, Imagen) · recommended 1×
  4. Anthropic Claude API · recommended 1×
  5. Stability AI (Stable Diffusion API) · recommended 1×
  • CATEGORY QUERY
    How to integrate generative AI for text and image creation into my document editor?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (GPT-4, DALL-E 3)
    2. Google Cloud Vertex AI (Gemini, Imagen)
    3. Anthropic Claude API
    4. Stability AI (Stable Diffusion API)
    5. Hugging Face Transformers (huggingface/transformers)
    6. Cohere API

    AI recommended 6 alternatives but never named rksm/org-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an AI assistant for my notes application with speech input and output.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. Google Cloud Text-to-Speech API
    3. Google Assistant API
    4. OpenAI Whisper
    5. OpenAI TTS
    6. AWS Transcribe
    7. AWS Polly
    8. Azure Cognitive Services Speech
    9. AssemblyAI
    10. ElevenLabs
    11. Deepgram
    12. Google Cloud Text-to-Speech API

    AI recommended 12 alternatives but never named rksm/org-ai. 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 rksm/org-ai?
    pass
    AI did not name rksm/org-ai — 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 rksm/org-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rksm/org-ai 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 rksm/org-ai solve, and who is the primary audience?
    pass
    AI named rksm/org-ai 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 rksm/org-ai. 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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rksm/org-ai — 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