RRepoGEO

REPOGEO REPORT · LITE

BayramAnnakov/claude-reflect

Default branch main · commit 8dc9db43 · scanned 5/10/2026, 10:02:12 AM

GitHub: 1,024 stars · 84 forks

AI VISIBILITY SCORE
35 /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
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 BayramAnnakov/claude-reflect, 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 role as a feedback-driven AI improvement framework

    Why:

    CURRENT
    A self-learning system for Claude Code that captures corrections and discovers workflow patterns — turning them into permanent memory and reusable skills.
    COPY-PASTE FIX
    **claude-reflect is a self-learning framework for Claude Code that empowers your AI assistant to continuously improve from your direct corrections and feedback.** It captures your preferences and workflow patterns, transforming them into permanent memory and reusable skills, unlike generic AI assistants that forget past interactions.
  • mediumabout#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://github.com/BayramAnnakov/claude-reflect
  • lowtopics#3
    Add 'ai-feedback' to the repository topics

    Why:

    CURRENT
    claude-code, claude-skills, memory, productivity, self-learning
    COPY-PASTE FIX
    claude-code, claude-skills, memory, productivity, self-learning, ai-feedback

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 BayramAnnakov/claude-reflect
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. OpenAI API · recommended 2×
  3. microsoft/vscode · recommended 2×
  4. GitHub Copilot · recommended 2×
  5. Tabnine · recommended 2×
  • CATEGORY QUERY
    How to make my AI coding assistant learn from my corrections and feedback?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. QLoRA (artidoro/qlora)
    3. LoRA (microsoft/LoRA)
    4. Llama 3 (meta-llama/llama3)
    5. Mistral (mistralai/mistral-src)
    6. Code Llama (meta-llama/codellama)
    7. DeepSeek Coder (deepseek-ai/DeepSeek-Coder)
    8. LangChain (langchain-ai/langchain)
    9. LlamaIndex (run-llama/llama_index)
    10. Chroma (chroma-core/chroma)
    11. Pinecone
    12. Weaviate (weaviate/weaviate)
    13. OpenAI API
    14. Anthropic Claude API
    15. Google Gemini API
    16. VS Code (microsoft/vscode)
    17. GitHub Copilot
    18. Codeium
    19. Tabnine
    20. JetBrains IDEs
    21. IntelliJ IDEA (JetBrains/intellij-community)
    22. PyCharm
    23. Flask (pallets/flask)
    24. Django (django/django)
    25. FastAPI (tiangolo/fastapi)
    26. Express (expressjs/express)
    27. PostgreSQL
    28. MongoDB (mongodb/mongo)

    AI recommended 28 alternatives but never named BayramAnnakov/claude-reflect. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to discover repetitive coding workflows and create reusable commands for an AI?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Tabnine
    4. Jupyter Notebooks
    5. nbdev (fastai/nbdev)
    6. Ploomber (ploomber/ploomber)
    7. VS Code (microsoft/vscode)
    8. CodeGPT
    9. Continue.dev (Continue-team/continue)
    10. OpenAI API
    11. LangChain (langchain-ai/langchain)

    AI recommended 11 alternatives but never named BayramAnnakov/claude-reflect. 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 BayramAnnakov/claude-reflect?
    pass
    AI named BayramAnnakov/claude-reflect explicitly

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

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

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

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BayramAnnakov/claude-reflect — 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