RRepoGEO

REPOGEO REPORT · LITE

paradigmxyz/flux

Default branch main · commit 7acd7897 · scanned 6/7/2026, 1:32:45 AM

GitHub: 892 stars · 130 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 paradigmxyz/flux, 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
    Add a disambiguation statement to the README's opening

    Why:

    CURRENT
    Graph-based LLM power tool for exploring many completions in parallel.
    COPY-PASTE FIX
    Graph-based LLM power tool for exploring many completions in parallel.
    This project is an interactive web application for large language models, distinct from blockchain protocols or programming languages also named 'Flux'.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, large-language-models, prompt-engineering, ai, nlp, graph, visualization, web-app, openai
  • mediumreadme#3
    Emphasize visualization and comparison in the 'About' section

    Why:

    CURRENT
    Flux is a power tool for interacting with large language models (LLMs) that **generates multiple completions per prompt in a tree structure and lets you explore the best ones in parallel.**
    COPY-PASTE FIX
    Flux is a power tool for interacting with large language models (LLMs) that **generates, visualizes, and lets you compare multiple completions per prompt in a tree structure, enabling parallel exploration.**

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 paradigmxyz/flux
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. Weights & Biases Prompts · recommended 1×
  3. OpenAI Evals · recommended 1×
  4. Humanloop · recommended 1×
  5. MLflow · recommended 1×
  • CATEGORY QUERY
    How can I efficiently explore multiple LLM responses and prompt variations in parallel?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases Prompts
    2. LangChain
    3. OpenAI Evals
    4. Humanloop
    5. MLflow
    6. Guidance

    AI recommended 6 alternatives but never named paradigmxyz/flux. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help visualize and compare different large language model outputs in a tree structure?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. D3.js
    3. jsTree
    4. Streamlit
    5. Graphviz
    6. pyvis
    7. vis.js
    8. LangChain
    9. LangSmith
    10. Weights & Biases (W&B)
    11. Mermaid.js

    AI recommended 11 alternatives but never named paradigmxyz/flux. 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 paradigmxyz/flux?
    pass
    AI named paradigmxyz/flux explicitly

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

  • If a team adopts paradigmxyz/flux in production, what risks or prerequisites should they evaluate first?
    pass
    AI named paradigmxyz/flux 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 paradigmxyz/flux solve, and who is the primary audience?
    pass
    AI named paradigmxyz/flux 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
  • Prioritized action items8 vs 3 in Lite