RRepoGEO

REPOGEO REPORT · LITE

IBM/Dromedary

Default branch main · commit 0b86740e · scanned 5/10/2026, 12:17:48 AM

GitHub: 1,142 stars · 89 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 IBM/Dromedary, 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 introductory sentence to explicitly state its LLM focus

    Why:

    CURRENT
    Dromedary is an open-source self-aligned language model trained with minimal human supervision.
    COPY-PASTE FIX
    Dromedary is an open-source project focused on principle-driven self-alignment of large language models (LLMs) from scratch with minimal human supervision.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, large-language-models, self-alignment, rlhf, sft, machine-learning, deep-learning, nlp, ai-alignment, neurips
  • mediumhomepage#3
    Add the project's official homepage URL

    Why:

    COPY-PASTE FIX
    Add the URL for the project's official homepage or paper page, e.g., `https://ibm.github.io/Dromedary/` or the NeurIPS paper link.

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 IBM/Dromedary
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. huggingface/trl · recommended 1×
  3. deepmind/acme · recommended 1×
  4. Anthropic's Constitutional AI · recommended 1×
  5. Claude · recommended 1×
  • CATEGORY QUERY
    How can I train a large language model with minimal human oversight for alignment?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. trl (huggingface/trl)
    3. DeepMind's Acme (deepmind/acme)
    4. Anthropic's Constitutional AI
    5. Claude
    6. GPT-4
    7. LangChain (langchain-ai/langchain)
    8. LlamaIndex (run-llama/llama_index)
    9. OpenAI Evals (openai/evals)
    10. Llama 3
    11. Hugging Face Datasets (huggingface/datasets)
    12. vLLM (vllm-project/vllm)
    13. TGI (Text Generation Inference) (huggingface/text-generation-inference)

    AI recommended 13 alternatives but never named IBM/Dromedary. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for building ethical and reliable LLMs using a principle-driven self-alignment method?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PEFT
    3. OpenAI API
    4. Function Calling
    5. Moderation API
    6. LangChain
    7. LlamaIndex
    8. TensorFlow Privacy
    9. PyTorch-Opacus
    10. InterpretML
    11. LIME
    12. SHAP
    13. Guardrails AI

    AI recommended 13 alternatives but never named IBM/Dromedary. 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 IBM/Dromedary?
    pass
    AI named IBM/Dromedary explicitly

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

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

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

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IBM/Dromedary — 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