RRepoGEO

REPOGEO REPORT · LITE

mrtooher/fable-mode

Default branch main · commit b494172f · scanned 6/20/2026, 7:37:13 PM

GitHub: 524 stars · 58 forks

AI VISIBILITY SCORE
23 /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
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 mrtooher/fable-mode, 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 README's opening sentence to prevent F# Fable confusion

    Why:

    CURRENT
    # fable-mode

A Claude skill that enforces staged execution discipline on large tasks:
    COPY-PASTE FIX
    # fable-mode: A Claude Skill for AI Agentic Execution

A Claude skill that enforces staged execution discipline on large tasks (unrelated to the F# Fable compiler):
  • hightopics#2
    Add relevant topics for AI agent categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, claude, anthropic, llm, agentic-ai, planning, self-correction, task-delegation
  • mediumlicense#3
    Add a LICENSE file to clarify usage terms

    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, or GPL-3.0) and add it to the repository root.

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 mrtooher/fable-mode
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. AutoGPT · recommended 1×
  4. BabyAGI · recommended 1×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How to enforce systematic execution and multi-stage planning for AI agent tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. BabyAGI
    5. Microsoft Semantic Kernel
    6. CrewAI
    7. Open Interpreter

    AI recommended 7 alternatives but never named mrtooher/fable-mode. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for improving AI agent reliability through self-correction and task delegation?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. AutoGPT (Significant-Gravitas/AutoGPT)
    4. BabyAGI (yoheinakajima/babyagi)
    5. Microsoft Guidance (microsoft/guidance)
    6. OpenAI Function Calling
    7. Google's Gemini
    8. CrewAI (joaomdmoura/crewai)

    AI recommended 8 alternatives but never named mrtooher/fable-mode. 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 mrtooher/fable-mode?
    pass
    AI named mrtooher/fable-mode explicitly

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

  • If a team adopts mrtooher/fable-mode in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mrtooher/fable-mode 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 mrtooher/fable-mode solve, and who is the primary audience?
    pass
    AI did not name mrtooher/fable-mode — 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

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mrtooher/fable-mode — 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