RRepoGEO

REPOGEO REPORT · LITE

Superagentsys/novalclaw

Default branch main · commit d4d560fa · scanned 6/1/2026, 6:12:50 AM

GitHub: 668 stars · 41 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Superagentsys/novalclaw, 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
    Update the repository's 'About' description

    Why:

    CURRENT
    novalclaw is next generation AI format
    COPY-PASTE FIX
    OmniNova Claw is a local-first AI agent platform and desktop control plane, built with Rust and Tauri, for managing AI agents, skills, and multiple LLM providers.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, agent-platform, rust, tauri, desktop-app, llm-orchestration, mbti-agents, ai-framework, multi-llm
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a `LICENSE` file to the repository root, for example, `LICENSE.md` with the text of the MIT License, or another suitable open-source license.

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 Superagentsys/novalclaw
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Ollama · recommended 2×
  4. Open Interpreter · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How to build a local AI agent platform with desktop control and multiple LLM providers?
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter
    2. AutoGPT
    3. BabyAGI
    4. pyautogui
    5. selenium
    6. LangChain
    7. subprocess
    8. LlamaIndex
    9. openai
    10. anthropic
    11. google-generativeai
    12. os
    13. shutil
    14. AgentGPT
    15. Ollama

    AI recommended 15 alternatives but never named Superagentsys/novalclaw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Rust-based AI agent framework with personality systems for desktop applications.
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. reqwest
    3. Llama.cpp
    4. llama-rs
    5. RustyDiffusion
    6. OpenAI
    7. async-openai
    8. Anthropic
    9. LangChain
    10. LlamaIndex
    11. FastAPI
    12. Tauri
    13. Slint

    AI recommended 13 alternatives but never named Superagentsys/novalclaw. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 Superagentsys/novalclaw?
    pass
    AI named Superagentsys/novalclaw explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of Superagentsys/novalclaw. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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Superagentsys/novalclaw — 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