RRepoGEO

REPOGEO REPORT · LITE

Gentleman-Programming/gentle-ai

Default branch main · commit aa881f22 · scanned 5/16/2026, 2:42:47 AM

GitHub: 3,015 stars · 361 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 Gentleman-Programming/gentle-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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    An ecosystem configurator that supercharges existing AI coding agents with persistent memory, Spec-Driven Development workflows, curated skills, multi-model support, and a teaching persona.
  • mediumreadme#2
    Update the README's main tagline to clarify its role

    Why:

    CURRENT
    <p><strong>Gentle-AI — Ecosystem, Frameworks, Workflows for AI coding agents.</strong></p>
    COPY-PASTE FIX
    <p><strong>Gentle-AI is an ecosystem configurator that supercharges your existing AI coding agents (e.g., Claude Code, OpenCode) with persistent memory, Spec-Driven Development workflows, curated skills, and multi-model support. It is NOT an AI agent installer or a local LLM runner.</strong></p>

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 Gentleman-Programming/gentle-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. MemGPT · recommended 1×
  4. Haystack · recommended 1×
  5. Faiss · recommended 1×
  • CATEGORY QUERY
    How can I enhance my existing AI coding assistant with persistent memory and structured workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. MemGPT
    4. Haystack
    5. Faiss
    6. Pinecone
    7. Weaviate
    8. Qdrant
    9. Prefect
    10. Apache Airflow
    11. Temporal

    AI recommended 11 alternatives but never named Gentleman-Programming/gentle-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can supercharge my code generation AI with multi-model support and a teaching persona?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. OpenAI API
    5. Cohere API
    6. Weights & Biases
    7. Ray

    AI recommended 7 alternatives but never named Gentleman-Programming/gentle-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
    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 Gentleman-Programming/gentle-ai?
    pass
    AI did not name Gentleman-Programming/gentle-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 Gentleman-Programming/gentle-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Gentleman-Programming/gentle-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 Gentleman-Programming/gentle-ai solve, and who is the primary audience?
    pass
    AI named Gentleman-Programming/gentle-ai explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite