REPOGEO REPORT · LITE

meniku/NPBehave

Default branch master · commit a1bc9673 · scanned 5/18/2026, 11:36:48 AM

GitHub: 1,268 stars · 209 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
```
unity, game-development, ai, behavior-trees, csharp, event-driven, gamedev
```

mediumreadme#2

Strengthen the README's opening paragraph

Why:

CURRENT

# NPBehave - An event driven Behavior Tree Library for code based AIs in Unity

NPBehave aims to be:

- lightweight, fast & simple
- event driven
- easily extendable
- A framework to define AIs with code, there is no visual editing support

COPY-PASTE FIX

# NPBehave - An event driven Behavior Tree Library for code based AIs in Unity

NPBehave is a powerful, lightweight, and performant event-driven Behavior Tree library specifically designed for Unity game developers to create complex, code-based AI systems. It aims to be:

- lightweight, fast & simple
- event driven
- easily extendable
- A framework to define AIs with code, there is no visual editing support

lowhomepage#3
Add a homepage URL to the repository
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

Of all named tools, what % are you?

Top rival

Behavior Designer

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Behavior Designer · recommended 2×
Panda BT · recommended 2×
NodeCanvas · recommended 1×
RAIN AI · recommended 1×
Unity's Visual Scripting · recommended 1×

CATEGORY QUERY
How to implement performant event-driven behavior trees for game AI in Unity?
you: not recommended
AI recommended (in order):
1. Behavior Designer
2. NodeCanvas
3. RAIN AI
4. Panda BT
5. Unity's Visual Scripting
AI recommended 5 alternatives but never named meniku/NPBehave. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a lightweight code-based behavior tree library for Unity game development.
you: not recommended
AI recommended (in order):
1. Behavior Designer
2. Unity's Built-in Behavior Tree (AI Navigation Package)
3. BT-CSharp
4. Simple Behavior Tree for Unity
5. Panda BT
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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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/meniku/NPBehave"><img src="https://repogeo.com/badge/meniku/NPBehave.svg" alt="RepoGEO" /></a>

Pro

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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