REPOGEO REPORT · LITE

IBM/Dromedary

Default branch main · commit 0b86740e · scanned 6/19/2026, 9:43:08 PM

GitHub: 1,138 stars · 88 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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

hightopics#1

Add relevant topics to the repository

Why:

CURRENT

(none)

COPY-PASTE FIX

llm, large-language-models, self-alignment, ai-alignment, neurips, machine-learning, deep-learning, nlp, foundation-models

highreadme#2

Reposition the core purpose statement immediately after the main title in the README

Why:

CURRENT

<div align="center">

</div>

<div align="center">

### NeurIPS 2023 (Spotlight)

## Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

</div>

COPY-PASTE FIX

<div align="center">

</div>

<div align="center">

### NeurIPS 2023 (Spotlight)

## Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

Dromedary is an open-source self-aligned language model trained with minimal human supervision, focused on creating helpful, ethical, and reliable LLMs.

</div>

mediumhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://ibm.github.io/Dromedary/
```

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

Of all named tools, what % are you?

Top rival

huggingface/trl

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

huggingface/trl · recommended 1×
microsoft/DeepSpeed · recommended 1×
OpenAI's API · recommended 1×
GPT-4 · recommended 1×
facebookresearch/llama · recommended 1×

CATEGORY QUERY
How to self-align a large language model from scratch with minimal human oversight?
you: not recommended
AI recommended (in order):
1. TRL (huggingface/trl)
2. DeepSpeed-Chat (microsoft/DeepSpeed)
3. OpenAI's API
4. GPT-4
5. Llama-2-Chat (facebookresearch/llama)
6. Anthropic's Claude
7. LangChain (langchain-ai/langchain)
8. LlamaIndex (run-llama/llama_index)
9. Hugging Face Transformers (huggingface/transformers)
10. DeepMind's AlphaCode
11. TextAttack (QData/TextAttack)
12. NLPAug (makcedward/nlpaug)
13. PyTorch (pytorch/pytorch)
14. TensorFlow (tensorflow/tensorflow)
15. The Pile
16. C4
AI recommended 16 alternatives but never named IBM/Dromedary. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What open-source projects help create more helpful and ethical LLMs efficiently?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers
2. Hugging Face Datasets
3. OpenAssistant Conversations Dataset (OASST1)
4. LAION-AI Open-Assistant
5. trl
6. DeepSpeed
7. Accelerate
8. LM-Harness (EleutherAI/lm-evaluation-harness)
9. Finetune.ai
AI recommended 9 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?

Embed your GEO score

Drop this badge into the README of IBM/Dromedary. 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)

[![RepoGEO](https://repogeo.com/badge/IBM/Dromedary.svg)](https://repogeo.com/en/r/IBM/Dromedary)

HTML

<a href="https://repogeo.com/en/r/IBM/Dromedary"><img src="https://repogeo.com/badge/IBM/Dromedary.svg" alt="RepoGEO" /></a>

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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