RRepoGEO

REPOGEO REPORT · LITE

meniku/NPBehave

Default branch master · commit a1bc9673 · scanned 6/29/2026, 5:42:48 PM

GitHub: 1,269 stars · 208 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
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 meniku/NPBehave, 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 the repository

    Why:

    COPY-PASTE FIX
    unity3d, behavior-trees, ai, game-development, csharp, event-driven, performance
  • mediumreadme#2
    Refine the README's opening paragraph for competitive positioning

    Why:

    CURRENT
    NPBehave aims to be: - lightweight, fast & simple - event driven - easily extendable - A framework to define AIs with code, there is no visual editing support.

NPBehave builds on the powerful and flexible code based approach to define behavior trees from the BehaviorLibrary and mixes in some of the great concepts of Unreal's behavior trees. Unlike traditional behavior trees, event driven behavior trees do not need to be traversed from the root node again each frame. They stay in their current state and only continue to traverse when they actually need to. This makes them more performant and a lot simpler to use.
    COPY-PASTE FIX
    NPBehave is a lightweight, fast, and event-driven Behavior Tree library specifically designed for code-based AI in Unity. It provides a highly performant, easily extendable framework for developers who prefer defining AI logic directly in C#, offering a powerful alternative to visual behavior tree solutions.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/meniku/NPBehave

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 meniku/NPBehave
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Behavior Designer
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Behavior Designer · recommended 2×
  2. NodeCanvas · recommended 2×
  3. A* Pathfinding Project · recommended 1×
  4. Panda BT · recommended 1×
  5. Fluent Behaviour Tree · recommended 1×
  • CATEGORY QUERY
    How to implement performant event-driven AI behavior trees in Unity 3D with code?
    you: not recommended
    AI recommended (in order):
    1. Behavior Designer
    2. NodeCanvas
    3. A* Pathfinding Project
    4. Panda BT
    5. Fluent Behaviour Tree
    6. RAIN AI
    7. BT-CSharp

    AI recommended 7 alternatives but never named meniku/NPBehave. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a lightweight C# behavior tree library for Unity to improve AI performance.
    you: not recommended
    AI recommended (in order):
    1. Behavior Designer
    2. NodeCanvas
    3. Unity's Built-in Behavior Tree
    4. Panda BT (pandabehaviour/PandaBT)
    5. BT-CSharp (ashleydavis/BT-CSharp)

    AI recommended 5 alternatives but never named meniku/NPBehave. 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 meniku/NPBehave?
    pass
    AI named meniku/NPBehave explicitly

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

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