RRepoGEO

REPOGEO REPORT · LITE

X-LANCE/SLAM-LLM

Default branch main · commit a68e78f9 · scanned 5/10/2026, 7:08:23 PM

GitHub: 1,030 stars · 113 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 X-LANCE/SLAM-LLM, 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 README opening to emphasize specialized MLLM focus

    Why:

    CURRENT
    SLAM-LLM is a deep learning toolkit that allows researchers and developers to train custom multimodal large language model (MLLM), focusing on Speech, Language, Audio, Music processing.
    COPY-PASTE FIX
    SLAM-LLM is a specialized deep learning toolkit and framework designed for researchers and developers to train custom multimodal large language models (MLLM) with a strong focus on **S**peech, **L**anguage, **A**udio, and **M**usic processing.
  • mediumreadme#2
    Emphasize unique value proposition in README introduction

    Why:

    CURRENT
    We provide detailed recipes for training and high-performance checkpoints for inference.
    COPY-PASTE FIX
    Unlike general-purpose ML frameworks, SLAM-LLM provides detailed recipes for training and high-performance checkpoints for inference, specifically optimized for multimodal tasks involving speech, audio, and music.
  • mediumhomepage#3
    Add repository URL as homepage

    Why:

    COPY-PASTE FIX
    https://github.com/X-LANCE/SLAM-LLM

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 X-LANCE/SLAM-LLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch Lightning
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch Lightning · recommended 2×
  2. Hugging Face Transformers · recommended 2×
  3. TensorFlow · recommended 2×
  4. fairseq · recommended 2×
  5. JAX · recommended 1×
  • CATEGORY QUERY
    I need a framework to train custom multimodal large language models for speech and music.
    you: not recommended
    AI recommended (in order):
    1. PyTorch Lightning
    2. Hugging Face Transformers
    3. TensorFlow
    4. JAX
    5. fairseq

    AI recommended 5 alternatives but never named X-LANCE/SLAM-LLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a toolkit for developing MLLMs specifically targeting audio, language, and music processing.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Hugging Face Diffusers
    3. PEFT
    4. Datasets
    5. Accelerate
    6. PyTorch
    7. PyTorch Lightning
    8. TensorFlow
    9. Keras
    10. Audiocraft
    11. MusicGen
    12. AudioGen
    13. fairseq
    14. OpenAI API
    15. GPT-4
    16. GPT-3.5
    17. Whisper API
    18. DALL-E 3
    19. Sora

    AI recommended 19 alternatives but never named X-LANCE/SLAM-LLM. 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 X-LANCE/SLAM-LLM?
    pass
    AI named X-LANCE/SLAM-LLM explicitly

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

  • If a team adopts X-LANCE/SLAM-LLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named X-LANCE/SLAM-LLM 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 X-LANCE/SLAM-LLM solve, and who is the primary audience?
    pass
    AI named X-LANCE/SLAM-LLM 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 X-LANCE/SLAM-LLM. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/X-LANCE/SLAM-LLM.svg)](https://repogeo.com/en/r/X-LANCE/SLAM-LLM)
HTML
<a href="https://repogeo.com/en/r/X-LANCE/SLAM-LLM"><img src="https://repogeo.com/badge/X-LANCE/SLAM-LLM.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

X-LANCE/SLAM-LLM — 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