RRepoGEO

REPOGEO REPORT · LITE

ridgerchu/SpikeGPT

Default branch master · commit 029f86f0 · scanned 6/14/2026, 5:43:17 PM

GitHub: 907 stars · 100 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 ridgerchu/SpikeGPT, 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
  • mediumreadme#1
    Strengthen README's positioning as a lightweight LLM alternative

    Why:

    CURRENT
    SpikeGPT is a lightweight generative language model with pure binary, event-driven spiking activation units.
    COPY-PASTE FIX
    SpikeGPT is a novel, lightweight generative language model that offers an energy-efficient alternative to traditional LLMs by utilizing pure binary, event-driven spiking activation units. It's designed for efficient text generation, inspired by models like RWKV-LM.
  • lowhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2310.04001

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 ridgerchu/SpikeGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SpiNNaker
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SpiNNaker · recommended 1×
  2. Brian2 · recommended 1×
  3. Nengo · recommended 1×
  4. SpikingJelly · recommended 1×
  5. Lava · recommended 1×
  • CATEGORY QUERY
    How to build efficient generative language models using spiking neural networks?
    you: not recommended
    AI recommended (in order):
    1. SpiNNaker
    2. Brian2
    3. Nengo
    4. SpikingJelly
    5. Lava
    6. snntorch

    AI recommended 6 alternatives but never named ridgerchu/SpikeGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking lightweight language model alternatives for efficient text generation on constrained hardware?
    you: not recommended
    AI recommended (in order):
    1. TinyLlama
    2. Phi-2
    3. Gemma 2B / Gemma 7B
    4. Mistral 7B
    5. OpenLLaMA 3B / OpenLLaMA 7B
    6. Pythia 160M / Pythia 410M / Pythia 1B

    AI recommended 6 alternatives but never named ridgerchu/SpikeGPT. 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 ridgerchu/SpikeGPT?
    pass
    AI named ridgerchu/SpikeGPT explicitly

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

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

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

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ridgerchu/SpikeGPT — 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