RRepoGEO

REPOGEO REPORT · LITE

jordanhubbard/nanolang

Default branch main · commit e463fc95 · scanned 6/7/2026, 8:51:51 PM

GitHub: 601 stars · 23 forks

AI VISIBILITY SCORE
28 /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
2 / 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 jordanhubbard/nanolang, 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
  • highreadme#1
    Reposition the README's opening statement to emphasize its core differentiator for AI-generated code

    Why:

    CURRENT
    **I am a minimal programming language designed for machines to write and humans to read. I require tests, I use unambiguous syntax, and my core is formally proved.**
    COPY-PASTE FIX
    **I am a minimal programming language explicitly designed for AI to write and humans to read, emphasizing unambiguous syntax, formal verification, and safety for machine-generated code.**
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/jordanhubbard/nanolang
  • lowtopics#3
    Expand repository topics to include formal verification and safety keywords

    Why:

    CURRENT
    domain-ai, domain-lang, llm, new-language-design, thought-exercise, vibe-coding
    COPY-PASTE FIX
    domain-ai, domain-lang, llm, new-language-design, thought-exercise, vibe-coding, formal-verification, provable-correctness, machine-generated-code, language-safety

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 jordanhubbard/nanolang
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coq
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Coq · recommended 2×
  2. Idris · recommended 2×
  3. Agda · recommended 2×
  4. F* · recommended 2×
  5. OCaml · recommended 1×
  • CATEGORY QUERY
    Looking for a programming language designed for AI to write, with formal verification.
    you: not recommended
    AI recommended (in order):
    1. Coq
    2. Idris
    3. Agda
    4. F*
    5. OCaml
    6. Why3
    7. Frama-C
    8. Haskell
    9. Liquid Haskell
    10. Agda-Lite

    AI recommended 10 alternatives but never named jordanhubbard/nanolang. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a simple language for machine-generated code, emphasizing safety and provable correctness.
    you: not recommended
    AI recommended (in order):
    1. Coq
    2. Idris
    3. Agda
    4. F*
    5. ATS (Applied Type System)
    6. Rust

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

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

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jordanhubbard/nanolang — 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