REPOGEO REPORT · LITE

kairos-agi/kairos-sensenova

Default branch main · commit 40d3fcb5 · scanned 6/17/2026, 3:08:12 AM

GitHub: 662 stars · 43 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 kairos-agi/kairos-sensenova, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1
Clarify the repository's core identity in the README H1
Why:
CURRENT
```
# Kairos 3.0
```
COPY-PASTE FIX
```
# Kairos 3.0: A Physics-Grounded World Model for Unified Embodied AI
```
mediumhomepage#2
Set the repository homepage URL
Why:
COPY-PASTE FIX
```
https://kairos.acerobotics.com
```

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 kairos-agi/kairos-sensenova

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

MobileNetV3

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

MobileNetV3 · recommended 1×
EfficientNet · recommended 1×
YOLO Series · recommended 1×
MediaPipe · recommended 1×
NanoDet/NanoDet-Plus · recommended 1×

CATEGORY QUERY
What AI models offer unified multimodal understanding and action prediction for edge devices?
you: not recommended
AI recommended (in order):
1. MobileNetV3
2. EfficientNet
3. YOLO Series
4. MediaPipe
5. NanoDet/NanoDet-Plus
6. EdgeTPU-optimized models
7. OpenVINO-optimized models
AI recommended 7 alternatives but never named kairos-agi/kairos-sensenova. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a physics-grounded world model for low-latency action prediction in embodied AI.
you: not recommended
AI recommended (in order):
1. NVIDIA Isaac Sim
2. MuJoCo (google-deepmind/mujoco)
3. PyBullet (bulletphysics/bullet3)
4. Gazebo (osrf/gazebo)
5. Unity
AI recommended 5 alternatives but never named kairos-agi/kairos-sensenova. 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 kairos-agi/kairos-sensenova?
pass
AI named kairos-agi/kairos-sensenova explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts kairos-agi/kairos-sensenova in production, what risks or prerequisites should they evaluate first?
pass
AI named kairos-agi/kairos-sensenova 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 kairos-agi/kairos-sensenova solve, and who is the primary audience?
pass
AI named kairos-agi/kairos-sensenova explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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kairos-agi/kairos-sensenova — 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