RRepoGEO

REPOGEO REPORT · LITE

CarperAI/OpenELM

Default branch main · commit c844e149 · scanned 5/30/2026, 6:02:10 PM

GitHub: 739 stars · 90 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 CarperAI/OpenELM, 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
    Add a clear, concise subtitle to the README H1 to immediately position the project

    Why:

    CURRENT
    # OpenELM
    COPY-PASTE FIX
    # OpenELM
An open-source library by CarperAI for evolutionary search with language models in code and natural language.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    evolutionary-algorithms, language-models, quality-diversity, genetic-algorithms, llm-evolution, ai-optimization, carperai
  • mediumhomepage#3
    Add a homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://carper.ai/openelm

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 CarperAI/OpenELM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  2. Anthropic Claude 3 Opus / Sonnet · recommended 1×
  3. Google Gemini 1.5 Pro · recommended 1×
  4. huggingface/transformers · recommended 1×
  5. Mistral 7B / Mixtral 8x7B · recommended 1×
  • CATEGORY QUERY
    How to apply large language models for evolutionary search and optimization tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. Anthropic Claude 3 Opus / Sonnet
    3. Google Gemini 1.5 Pro
    4. Hugging Face Transformers (huggingface/transformers)
    5. Mistral 7B / Mixtral 8x7B
    6. Llama 3 (8B / 70B)
    7. LangChain (langchain-ai/langchain)
    8. LlamaIndex (run-llama/llama_index)

    AI recommended 8 alternatives but never named CarperAI/OpenELM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a library for quality-diversity algorithms with language model integration.
    you: not recommended
    AI recommended (in order):
    1. Pyribs
    2. transformers
    3. LangChain
    4. QDax
    5. JAX
    6. flax
    7. Evosax
    8. DEAP

    AI recommended 8 alternatives but never named CarperAI/OpenELM. 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 CarperAI/OpenELM?
    pass
    AI named CarperAI/OpenELM explicitly

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

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

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

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MARKDOWN (README)
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CarperAI/OpenELM — 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