RRepoGEO

REPOGEO REPORT · LITE

FreedomIntelligence/LLMZoo

Default branch main · commit cf70d9cd · scanned 5/26/2026, 6:03:13 AM

GitHub: 2,946 stars · 195 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 FreedomIntelligence/LLMZoo, 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
  • highreadme#1
    Reposition the unique value proposition in the README's opening sentence

    Why:

    CURRENT
    ⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡
    COPY-PASTE FIX
    ⚡LLM Zoo is an open-source project dedicated to democratizing large language models, providing a comprehensive collection of data, models, and evaluation benchmarks to break 'AI supremacy' and make LLMs accessible across all languages.⚡
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/FreedomIntelligence/LLMZoo

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 FreedomIntelligence/LLMZoo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers Library
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers Library · recommended 1×
  2. PyTorch · recommended 1×
  3. TensorFlow · recommended 1×
  4. LoRA · recommended 1×
  5. QLoRA · recommended 1×
  • CATEGORY QUERY
    How can I train my own instruction-following large language model from scratch?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library
    2. PyTorch
    3. TensorFlow
    4. LoRA
    5. QLoRA
    6. PEFT
    7. DeepSpeed
    8. FSDP
    9. Megatron-LM
    10. GPT-NeoX
    11. Alpaca
    12. ShareGPT
    13. Dolly 2.0
    14. RLHF
    15. DPO
    16. TRL

    AI recommended 16 alternatives but never named FreedomIntelligence/LLMZoo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find data, models, and benchmarks for evaluating large language models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Datasets and Models Hub
    2. Papers With Code
    3. EleutherAI's LM Evaluation Harness (EleutherAI/lm-evaluation-harness)
    4. Stanford HELM (Holistic Evaluation of Language Models) (stanford-crfm/helm)
    5. GLUE and SuperGLUE Benchmarks
    6. MMLU (Massive Multitask Language Understanding)
    7. Big Bench (Beyond the Imitation Game Benchmark)

    AI recommended 7 alternatives but never named FreedomIntelligence/LLMZoo. 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 FreedomIntelligence/LLMZoo?
    pass
    AI named FreedomIntelligence/LLMZoo explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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FreedomIntelligence/LLMZoo — 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