RRepoGEO

REPOGEO REPORT · LITE

inference-labs-inc/zkml-blueprints

Default branch main · commit 39b07019 · scanned 6/29/2026, 10:07:58 PM

GitHub: 1,535 stars · 24 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)

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

AI VISIBILITY SCORE
22 /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
1 / 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/zkml-blueprints, 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
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    zero-knowledge-proofs, zkml, machine-learning, cryptography, circuit-design, mathematical-formulations, privacy-preserving-ml
  • highreadme#2
    Reposition the README's opening paragraph to clarify its unique role

    Why:

    CURRENT
    > A growing collection of custom circuit designs—with every constraint proven and every idea explained. Built for clarity, rigor, and community collaboration—the reference we all wish we’d had!

zkml-blueprints** is a collection of mathematical formulations and circuit designs supporting zero-knowledge (ZK) proofs for machine learning (ML) applications, focusing on efficiently implementing provable computations in ZK circuits.
    COPY-PASTE FIX
    zkml-blueprints is a foundational collection of mathematical formulations and circuit designs for zero-knowledge (ZK) proofs in machine learning (ML) applications. Unlike ZKML frameworks or libraries, this repository provides rigorous, proven blueprints and theoretical insights for designing efficient ZK circuits, serving as the structured reference for researchers and developers.
  • mediumlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms specified in the [LICENSE file](./LICENSE).

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/zkml-blueprints
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ezkl
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Ezkl · recommended 1×
  2. halo2 · recommended 1×
  3. halo2-lib · recommended 1×
  4. Gnark · recommended 1×
  5. Leo · recommended 1×
  • CATEGORY QUERY
    How to design efficient zero-knowledge circuits for verifiable machine learning models?
    you: not recommended
    AI recommended (in order):
    1. Ezkl
    2. halo2
    3. halo2-lib
    4. Gnark
    5. Leo
    6. Aleo
    7. Cairo
    8. StarkWare
    9. Zokrates

    AI recommended 9 alternatives but never named inference-labs-inc/zkml-blueprints. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find detailed mathematical blueprints for zero-knowledge proof circuit implementations?
    you: not recommended
    AI recommended (in order):
    1. zk-SNARKs for Engineers
    2. Ariel Gabizon's Blog and Papers
    3. Zcash Protocol Specification
    4. Halo 2 Book
    5. Plonky2 Documentation
    6. Arkworks-rs Documentation and Source Code
    7. Gnark Documentation

    AI recommended 7 alternatives but never named inference-labs-inc/zkml-blueprints. 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 inference-labs-inc/zkml-blueprints?
    pass
    AI did not name inference-labs-inc/zkml-blueprints — likely talking about a different project

    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/zkml-blueprints in production, what risks or prerequisites should they evaluate first?
    pass
    AI named inference-labs-inc/zkml-blueprints 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/zkml-blueprints solve, and who is the primary audience?
    pass
    AI did not name inference-labs-inc/zkml-blueprints — likely talking about a different project

    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/zkml-blueprints — 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