RRepoGEO

REPOGEO REPORT · LITE

NX-AI/xlstm

Default branch main · commit 032a6fb8 · scanned 5/16/2026, 1:47:09 PM

GitHub: 2,159 stars · 184 forks

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 NX-AI/xlstm, 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
  • highabout#1
    Update the repository description to clarify its purpose and competitive advantage

    Why:

    CURRENT
    Official repository of the xLSTM.
    COPY-PASTE FIX
    xLSTM: An advanced Recurrent Neural Network architecture designed as a high-performing alternative to Transformers for large language model development and NLP tasks.
  • highreadme#2
    Add a concise positioning statement directly after the README's main title

    Why:

    CURRENT
    The README starts with the H1, then links, then a quote block. The 'About' section is further down.
    COPY-PASTE FIX
    Add the following sentence directly after the H1: 'xLSTM is a new Recurrent Neural Network architecture that overcomes the limitations of original LSTMs, showing promising performance on Language Modeling when compared to Transformers or State Space Models.'
  • mediumtopics#3
    Expand repository topics with specific competitive keywords

    Why:

    CURRENT
    deep-learning, deep-learning-architecture, llm, machine-learning, nlp, rnn
    COPY-PASTE FIX
    deep-learning, deep-learning-architecture, llm, machine-learning, nlp, rnn, transformer-alternative, recurrent-neural-networks, language-modeling, sequence-modeling, state-space-models

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 NX-AI/xlstm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mamba
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Mamba · recommended 2×
  2. Recurrent Memory Transformer (RMT) · recommended 1×
  3. Transformer-XL · recommended 1×
  4. Retentive Network (RetNet) · recommended 1×
  5. RWKV (Receptance Weighted Key Value) · recommended 1×
  • CATEGORY QUERY
    What are advanced recurrent neural network architectures for large language model development?
    you: not recommended
    AI recommended (in order):
    1. Recurrent Memory Transformer (RMT)
    2. Transformer-XL
    3. Retentive Network (RetNet)
    4. RWKV (Receptance Weighted Key Value)
    5. Hyena Hierarchy
    6. Mamba

    AI recommended 6 alternatives but never named NX-AI/xlstm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a high-performing RNN alternative to Transformers for natural language processing tasks.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. PyTorch
    3. Mamba
    4. ByteNet
    5. ConvS2S
    6. Recurrent Independent Mechanisms (RIMs)
    7. Neural Turing Machines (NTMs)
    8. Differentiable Neural Computers (DNCs)

    AI recommended 8 alternatives but never named NX-AI/xlstm. 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 NX-AI/xlstm?
    pass
    AI named NX-AI/xlstm explicitly

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

  • If a team adopts NX-AI/xlstm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NX-AI/xlstm 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 NX-AI/xlstm solve, and who is the primary audience?
    pass
    AI named NX-AI/xlstm 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 NX-AI/xlstm. 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)
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NX-AI/xlstm — RepoGEO report