RRepoGEO

REPOGEO REPORT · LITE

wjakob/nanobind

Default branch master · commit 2deac966 · scanned 5/31/2026, 3:42:27 AM

GitHub: 3,547 stars · 306 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 wjakob/nanobind, 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
  • highhomepage#1
    Add homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://nanobind.readthedocs.io/en/latest/
  • highreadme#2
    Strengthen README's opening sentence to highlight core differentiators

    Why:

    CURRENT
    _nanobind_ is a small binding library that exposes C++ types in Python and vice versa.
    COPY-PASTE FIX
    _nanobind_ is a modern, high-performance C++/Python binding library designed for maximum efficiency, offering significantly faster compilation, smaller binaries, and lower runtime overhead compared to existing solutions like pybind11.
  • mediumtopics#3
    Add performance-related topics

    Why:

    CURRENT
    bindings, cpp17, pybind11, python
    COPY-PASTE FIX
    bindings, cpp17, pybind11, python, performance, low-overhead

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 wjakob/nanobind
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pybind11
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pybind11 · recommended 2×
  2. Boost.Python · recommended 2×
  3. SWIG · recommended 2×
  4. CFFI · recommended 2×
  5. Cython · recommended 2×
  • CATEGORY QUERY
    What's the most efficient way to expose C++ types in Python with minimal overhead?
    you: not recommended
    AI recommended (in order):
    1. Pybind11
    2. Boost.Python
    3. SWIG
    4. CFFI
    5. Cython
    6. ctypes

    AI recommended 6 alternatives but never named wjakob/nanobind. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a C++ to Python binding solution with faster compilation and smaller binaries.
    you: not recommended
    AI recommended (in order):
    1. Pybind11
    2. Boost.Python
    3. SWIG
    4. CFFI
    5. Cython

    AI recommended 5 alternatives but never named wjakob/nanobind. 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 wjakob/nanobind?
    pass
    AI named wjakob/nanobind explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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wjakob/nanobind — 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