RRepoGEO

REPOGEO REPORT · LITE

bcefghj/learn-nanobot

Default branch main · commit 740d041a · scanned 6/16/2026, 7:48:18 PM

GitHub: 537 stars · 60 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 bcefghj/learn-nanobot, 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.

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 bcefghj/learn-nanobot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Machine Learning Specialization
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Machine Learning Specialization · recommended 1×
  2. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" · recommended 1×
  3. scikit-learn/scikit-learn · recommended 1×
  4. keras-team/keras · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    How can I prepare for AI agent technical interviews as a beginner?
    you: not recommended
    AI recommended (in order):
    1. Machine Learning Specialization
    2. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow"
    3. Scikit-learn (scikit-learn/scikit-learn)
    4. Keras (keras-team/keras)
    5. TensorFlow (tensorflow/tensorflow)
    6. Deep Learning Specialization
    7. fast.ai's "Practical Deep Learning for Coders"
    8. NumPy (numpy/numpy)
    9. Pandas (pandas-dev/pandas)
    10. Matplotlib (matplotlib/matplotlib)
    11. Seaborn (mwaskom/seaborn)
    12. PyTorch (pytorch/pytorch)
    13. David Silver's Reinforcement Learning Course
    14. "Reinforcement Learning: An Introduction"
    15. Word2Vec
    16. GloVe
    17. LeetCode
    18. HackerRank
    19. Kaggle
    20. GitHub

    AI recommended 20 alternatives but never named bcefghj/learn-nanobot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a simple AI agent framework to understand core architectural concepts.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGen (microsoft/autogen)
    5. CrewAI (joaomdmoura/crewai)
    6. AgentVerse (OpenBMB/AgentVerse)

    AI recommended 6 alternatives but never named bcefghj/learn-nanobot. 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 bcefghj/learn-nanobot?
    pass
    AI named bcefghj/learn-nanobot explicitly

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

  • If a team adopts bcefghj/learn-nanobot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bcefghj/learn-nanobot 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 bcefghj/learn-nanobot solve, and who is the primary audience?
    pass
    AI named bcefghj/learn-nanobot 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 bcefghj/learn-nanobot. 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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bcefghj/learn-nanobot — 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