RRepoGEO

REPOGEO REPORT · LITE

replit/ReplitLM

Default branch main · commit f95ecb74 · scanned 6/26/2026, 10:13:25 AM

GitHub: 1,066 stars · 136 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)

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

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 replit/ReplitLM, 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 H1 to specify the model's category and key differentiator

    Why:

    CURRENT
    # ReplitLM
Guides, code and configs for the ReplitLM model family.
    COPY-PASTE FIX
    # ReplitLM: A small, efficient language model for code generation
This repository provides guides, inference code, and configurations for the ReplitLM model family, designed for efficient code generation and specialized programming tasks.
  • hightopics#2
    Add more specific topics to categorize ReplitLM as a code-focused and small LLM

    Why:

    CURRENT
    ai, ai4code, llm
    COPY-PASTE FIX
    ai, ai4code, llm, code-llm, code-generation, small-llm, 3b-llm
  • mediumabout#3
    Update the repository description to emphasize the model's purpose and key characteristics

    Why:

    CURRENT
    Inference code and configs for the ReplitLM model family
    COPY-PASTE FIX
    The ReplitLM model family: small, efficient language models for code generation and specialized programming tasks. This repo provides inference code and configurations.

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 replit/ReplitLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Code Llama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Code Llama · recommended 1×
  2. DeepSeek Coder · recommended 1×
  3. StarCoder2 · recommended 1×
  4. Phind-CodeLlama · recommended 1×
  5. WizardCoder · recommended 1×
  • CATEGORY QUERY
    What are good open-source language models for generating code snippets efficiently?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. DeepSeek Coder
    3. StarCoder2
    4. Phind-CodeLlama
    5. WizardCoder
    6. SantaCoder

    AI recommended 6 alternatives but never named replit/ReplitLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I fine-tune a small language model for specialized programming tasks?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Hugging Face Datasets
    3. PEFT
    4. PyTorch
    5. TensorFlow
    6. Weights & Biases (W&B)
    7. MLflow
    8. Jupyter Notebooks
    9. JupyterLab
    10. VS Code
    11. Docker
    12. NVIDIA-Docker
    13. Optuna
    14. Ray Tune

    AI recommended 14 alternatives but never named replit/ReplitLM. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 replit/ReplitLM?
    pass
    AI named replit/ReplitLM explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite