RRepoGEO

REPOGEO REPORT · LITE

agentset-ai/agentset

Default branch main · commit 1f79eda7 · scanned 5/22/2026, 5:18:28 PM

GitHub: 1,991 stars · 179 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 agentset-ai/agentset, 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 the README H1 to clearly state its platform nature

    Why:

    CURRENT
    <h1 align="center">Agentset</h1>
<p align="center">
  <strong>RAG. Optimized for maximum performance.</strong>
</p>
    COPY-PASTE FIX
    <h1 align="center">Agentset: The Open-Source Platform for Production-Ready RAG and Agentic Applications</h1>
  • mediumreadme#2
    Add a 'Why Agentset?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section (e.g., 'Why Agentset?' or 'Agentset vs. Alternatives') that highlights key differentiators such as its end-to-end tooling, built-in citations, production hosting, or specific agentic orchestration capabilities compared to common alternatives.
  • lowtopics#3
    Augment GitHub topics with more specific platform/framework keywords

    Why:

    CURRENT
    agentic-rag, ai, ai-agents, ai-sdk, chatbots, embeddings, genai, llms, memory, memory-management, rag, vercel-ai-sdk
    COPY-PASTE FIX
    agentic-rag, ai, ai-agents, ai-sdk, chatbots, embeddings, genai, llms, memory, memory-management, rag, vercel-ai-sdk, rag-platform, ai-platform, llm-framework, agent-orchestration

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 agentset-ai/agentset
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. Haystack · recommended 2×
  4. AutoGen · recommended 1×
  5. OpenRAG · recommended 1×
  • CATEGORY QUERY
    What open-source platforms simplify building and deploying production-ready RAG applications with agentic capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. OpenRAG
    6. Rasa
    7. FlowiseAI

    AI recommended 7 alternatives but never named agentset-ai/agentset. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an end-to-end RAG development framework including ingestion, indexing, and evaluation tools.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Ragas
    5. Gradio
    6. Streamlit

    AI recommended 6 alternatives but never named agentset-ai/agentset. 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 agentset-ai/agentset?
    pass
    AI named agentset-ai/agentset explicitly

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

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

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

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agentset-ai/agentset — 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