RRepoGEO

REPOGEO REPORT · LITE

inference-labs-inc/dsperse

Default branch main · commit 849a8a73 · scanned 6/9/2026, 11:52:00 AM

GitHub: 988 stars · 12 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 inference-labs-inc/dsperse, 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
  • hightopics#1
    Expand repository topics for better categorization

    Why:

    CURRENT
    zkml
    COPY-PASTE FIX
    zkml, onnx, verifiable-ai, neural-networks, machine-learning, zero-knowledge-proofs, distributed-ai, model-slicing, ai-inference
  • highabout#2
    Clarify repository description to prevent miscategorization

    Why:

    CURRENT
    Distributed zkML
    COPY-PASTE FIX
    A proving-system-agnostic intelligent slicer for verifiable AI, decomposing ONNX models for distributed zero-knowledge proofs.
  • mediumreadme#3
    Add explicit license clarification to README

    Why:

    COPY-PASTE FIX
    ## License
DSperse is released under [insert specific license name(s) here, e.g., "a custom license combining Apache 2.0 and MIT terms"]. Please see the [LICENSE](LICENSE) file for full details.

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 inference-labs-inc/dsperse
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
EZKL
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. EZKL · recommended 2×
  2. Orion · recommended 2×
  3. Halo2 · recommended 2×
  4. Gnark · recommended 2×
  5. ZKML · recommended 1×
  • CATEGORY QUERY
    How to generate zero-knowledge proofs for AI model inference on ONNX models?
    you: not recommended
    AI recommended (in order):
    1. EZKL
    2. ZKML
    3. Orion
    4. RISC Zero
    5. Miden VM
    6. Halo2
    7. Gnark

    AI recommended 7 alternatives but never named inference-labs-inc/dsperse. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for splitting large neural networks into ZK-compatible circuits for verifiable execution?
    you: not recommended
    AI recommended (in order):
    1. EZKL
    2. ZKML (Zero-Knowledge Machine Learning) by Modulus Labs
    3. Orion
    4. Halo2
    5. Gnark

    AI recommended 5 alternatives but never named inference-labs-inc/dsperse. 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 inference-labs-inc/dsperse?
    pass
    AI named inference-labs-inc/dsperse explicitly

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

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

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

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inference-labs-inc/dsperse — 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