RRepoGEO

REPOGEO REPORT · LITE

noir-lang/awesome-noir

Default branch main · commit e161b0e3 · scanned 6/14/2026, 7:57:48 PM

GitHub: 577 stars · 137 forks

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 noir-lang/awesome-noir, 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
    awesome-list, noir, zero-knowledge-proofs, zkp, blockchain, cryptography, zk-snarks, zk-rollups, web3
  • highreadme#2
    Reposition the README's opening sentence to clarify its role in the ZKP ecosystem

    Why:

    CURRENT
    A curated list of resources for programming with Noir.
    COPY-PASTE FIX
    A curated list of awesome resources, tools, and projects for the Noir programming language and its zero-knowledge proof (ZKP) ecosystem.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://noir-lang.org/

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 noir-lang/awesome-noir
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
circom
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. circom · recommended 2×
  2. arkworks · recommended 2×
  3. snarkjs · recommended 1×
  4. Cairo · recommended 1×
  5. Halo2 · recommended 1×
  • CATEGORY QUERY
    What are the best tools and libraries for developing zero-knowledge proof applications?
    you: not recommended
    AI recommended (in order):
    1. circom
    2. snarkjs
    3. arkworks
    4. Cairo
    5. Halo2
    6. Gnark
    7. Zokrates
    8. Bellman

    AI recommended 8 alternatives but never named noir-lang/awesome-noir. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for cryptographic libraries to implement secure zero-knowledge proof systems efficiently.
    you: not recommended
    AI recommended (in order):
    1. bellman
    2. arkworks
    3. gnark
    4. libsnark
    5. halo2
    6. circom

    AI recommended 6 alternatives but never named noir-lang/awesome-noir. 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 noir-lang/awesome-noir?
    pass
    AI did not name noir-lang/awesome-noir — 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 noir-lang/awesome-noir in production, what risks or prerequisites should they evaluate first?
    pass
    AI named noir-lang/awesome-noir 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 noir-lang/awesome-noir solve, and who is the primary audience?
    pass
    AI did not name noir-lang/awesome-noir — 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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noir-lang/awesome-noir — 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