RRepoGEO

REPOGEO REPORT · LITE

dot-agent/nextpy

Default branch main · commit e8cc331f · scanned 5/8/2026, 10:42:46 PM

GitHub: 2,338 stars · 182 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 dot-agent/nextpy, 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
  • highreadme#1
    Reposition README H1 to clearly state core identity

    Why:

    CURRENT
    # What is Nextpy? Nextpy is a framework for building self-modifying software.
    COPY-PASTE FIX
    # Nextpy: A Python Framework for Self-Modifying AI Agents with Advanced LLM Control
  • mediumtopics#2
    Add more specific topics related to LLM agents and prompt engineering

    Why:

    CURRENT
    agent, agi, ai, ai-agents, autogpt, fastapi, fastapi-framework, fastapi-template, fullstack-development, gpt, llm, llmops, mlops, openai, pydantic, python, sqlmodel, streamlit, webdev, webdevelopment
    COPY-PASTE FIX
    agent, agi, ai, ai-agents, autogpt, fastapi, fastapi-framework, fastapi-template, fullstack-development, gpt, llm, llmops, mlops, openai, pydantic, python, sqlmodel, streamlit, webdev, webdevelopment, prompt-engineering, llm-agents, ai-framework, guardrails, structured-output
  • mediumreadme#3
    Rephrase or remove the "just for friends" note in the README

    Why:

    CURRENT
    > [!NOTE]
><p><em>Hey there, Friend!</em></p>
><p><em>This project is still in the "just for friends" stage. If you want to see what we're messing with and have some thoughts, take a look at the code. We'd love your feedback or contributions.</em></p>
    COPY-PASTE FIX
    Consider replacing the note with a statement like: "Nextpy is under active development, and we welcome your feedback and contributions to help shape its future!"

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 dot-agent/nextpy
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. OpenAI Function Calling · recommended 1×
  4. Google Gemini Function Calling · recommended 1×
  5. Pydantic · recommended 1×
  • CATEGORY QUERY
    How to build self-modifying AI agents with structured outputs and safety guardrails?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Function Calling
    4. Google Gemini Function Calling
    5. Pydantic
    6. Guardrails AI
    7. Microsoft Guidance
    8. Hugging Face Transformers

    AI recommended 8 alternatives but never named dot-agent/nextpy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Python frameworks for advanced LLM prompt engineering and controlled responses?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Guidance
    4. Marvin
    5. Instructor
    6. Haystack

    AI recommended 6 alternatives but never named dot-agent/nextpy. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 dot-agent/nextpy?
    pass
    AI named dot-agent/nextpy explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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