RRepoGEO

REPOGEO REPORT · LITE

hannorein/rebound

Default branch main · commit a818512f · scanned 5/25/2026, 4:51:45 AM

GitHub: 1,082 stars · 263 forks

AI VISIBILITY SCORE
93 /100
Healthy
Category recall
2 / 2
Avg rank #1.0 when recommended
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 hannorein/rebound, 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 H1 to specify the domain

    Why:

    CURRENT
    # Welcome to REBOUND
    COPY-PASTE FIX
    # REBOUND: An N-body Integrator for Astrophysics and Planetary Dynamics
  • mediumabout#2
    Clarify the repository description

    Why:

    CURRENT
    💫 An open-source multi-purpose N-body code.
    COPY-PASTE FIX
    💫 An open-source multi-purpose N-body code for astrophysics and planetary dynamics.
  • mediumreadme#3
    Add a disambiguation note to the README

    Why:

    COPY-PASTE FIX
    ### About the name REBOUND
This REBOUND is an N-body integrator for astrophysics and planetary dynamics, developed by Hanno Rein. It is distinct from other projects also named 'Rebound', such as the Facebook/Pop Rebound library for spring animations or the Go-based HTTP proxy.

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
2 / 2
100% of queries surface hannorein/rebound
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
17%
Of all named tools, what % are you?
Top rival
Gensim
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Gensim · recommended 2×
  2. AMUSE · recommended 2×
  3. OpenNbody · recommended 1×
  4. N-body Shop · recommended 1×
  5. SPH-EXACT · recommended 1×
  • CATEGORY QUERY
    What open-source software can simulate gravitational interactions of celestial bodies?
    you: #1
    AI recommended (in order):
    1. REBOUND ← you
    2. Gensim
    3. AMUSE
    4. OpenNbody
    5. N-body Shop
    6. SPH-EXACT
    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to model planetary system dynamics with symplectic integration.
    you: #1
    AI recommended (in order):
    1. REBOUND ← you
    2. AMUSE
    3. N-body Shop (NBODY6/NBODY7/NBODY8)
    4. SWIFT
    5. NbodySimulator.jl
    6. Gensim
    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 hannorein/rebound?
    pass
    AI named hannorein/rebound explicitly

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

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

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

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hannorein/rebound — 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