RRepoGEO

REPOGEO REPORT · LITE

vudovn/antigravity-kit

Default branch main · commit a909d03c · scanned 6/17/2026, 5:16:55 PM

GitHub: 7,736 stars · 1,493 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 vudovn/antigravity-kit, 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
  • highabout#1
    Add a concise "About" description

    Why:

    COPY-PASTE FIX
    AI Agent templates with Skills, Agents, and Workflows — featuring Coordinator Mode, Persistent Memory, and Context Compression.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, agent-framework, llm, large-language-models, persistent-memory, workflow-orchestration, skills, context-compression, templates
  • mediumreadme#3
    Strengthen the README's opening paragraph to clarify the target audience and problem solved

    Why:

    CURRENT
    <p align="center">
    AI Agent templates with Skills, Agents, and Workflows — featuring Coordinator Mode, Persistent Memory, and Context Compression.
</p>
    COPY-PASTE FIX
    <p align="center"> Empowering AI developers to build sophisticated agents: AG KIT provides robust templates for AI agents with advanced capabilities like Skills, Agents, and Workflows, featuring Coordinator Mode, Persistent Memory, and Context Compression. </p>

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 vudovn/antigravity-kit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Haystack · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How can I build AI agents with persistent memory, skills, and workflow orchestration?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. AutoGPT
    6. BabyAGI
    7. CrewAI
    8. OpenAI Assistants API

    AI recommended 8 alternatives but never named vudovn/antigravity-kit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help manage and deploy AI agent configurations across multiple development projects?
    you: not recommended
    AI recommended (in order):
    1. MLflow (mlflow/mlflow)
    2. Kubernetes (kubernetes/kubernetes)
    3. Kubeflow (kubeflow/kubeflow)
    4. Hugging Face Hub
    5. DVC (iterative/dvc)
    6. Weights & Biases (wandb/wandb)
    7. Azure Machine Learning
    8. Google Cloud AI Platform
    9. Amazon SageMaker

    AI recommended 9 alternatives but never named vudovn/antigravity-kit. 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 vudovn/antigravity-kit?
    pass
    AI named vudovn/antigravity-kit explicitly

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

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