RRepoGEO

REPOGEO REPORT · LITE

lupantech/AgentFlow

Default branch main · commit b9400643 · scanned 5/16/2026, 6:22:37 AM

GitHub: 1,839 stars · 217 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 lupantech/AgentFlow, 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 concise problem/solution statement to the README's opening

    Why:

    COPY-PASTE FIX
    Insert a 1-2 sentence problem/solution statement directly after the main `AgentFlow: In-the-Flow Agentic System Optimization` title, explaining what problem it solves and for whom.
  • mediumtopics#2
    Expand GitHub topics to include 'framework' and 'orchestration' keywords

    Why:

    CURRENT
    agentic-ai, agentic-systems, llms, llms-reasoning, multi-agent-systems, reinforcement-learning, tool-augmented
    COPY-PASTE FIX
    agentic-ai, agentic-systems, llms, llms-reasoning, multi-agent-systems, reinforcement-learning, tool-augmented, ai-framework, llm-orchestration, agent-workflow
  • lowcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section titled "Comparison to Alternatives" in the README, briefly explaining how AgentFlow's declarative, configuration-driven approach differentiates it from other imperative agent frameworks.

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 lupantech/AgentFlow
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. AutoGen · recommended 2×
  3. CrewAI · recommended 2×
  4. LlamaIndex · recommended 2×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to optimize multi-agent LLM systems for better performance and reasoning?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. LlamaIndex
    5. OpenAI API
    6. Anthropic Claude
    7. Mistral AI

    AI recommended 7 alternatives but never named lupantech/AgentFlow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for building and optimizing complex agentic AI workflows.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Haystack
    5. CrewAI
    6. Marvin

    AI recommended 6 alternatives but never named lupantech/AgentFlow. 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 lupantech/AgentFlow?
    pass
    AI named lupantech/AgentFlow explicitly

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

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

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

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lupantech/AgentFlow — 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