RRepoGEO

REPOGEO REPORT · LITE

MervinPraison/PraisonAI

Default branch main · commit 5ff79d39 · scanned 5/24/2026, 5:56:36 PM

GitHub: 7,922 stars · 1,211 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 MervinPraison/PraisonAI, 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 clear category descriptor to the README H1

    Why:

    CURRENT
    # PraisonAI 🦞
    COPY-PASTE FIX
    # PraisonAI 🦞: The Autonomous AI Agent Framework
  • mediumreadme#2
    Explicitly list core features (RAG, memory, LLM support) in the README's introductory paragraph

    Why:

    CURRENT
    PraisonAI 🦞 — **Hire a 24/7 AI Workforce.** Stop writing boilerplate and start shipping autonomous, self-improving agents that research, plan, and execute tasks across your apps. From one agent to an entire organization, deployed in 5 lines of code.
    COPY-PASTE FIX
    PraisonAI 🦞 — **Hire a 24/7 AI Workforce.** Stop writing boilerplate and start shipping autonomous, self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
  • lowcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## 🚀 Comparison with Alternatives
    
    PraisonAI stands out from other agent frameworks like CrewAI, LangChain, and AutoGen by offering [specific differentiators, e.g., focus on autonomous self-improving agents, ease of deployment, specific features].

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 MervinPraison/PraisonAI
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CrewAI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CrewAI · recommended 2×
  2. Auto-GPT · recommended 1×
  3. BabyAGI · recommended 1×
  4. LangChain Agents · recommended 1×
  5. LlamaIndex Agents · recommended 1×
  • CATEGORY QUERY
    How to build autonomous AI agents for task execution and research with minimal setup?
    you: not recommended
    AI recommended (in order):
    1. Auto-GPT
    2. BabyAGI
    3. CrewAI
    4. LangChain Agents
    5. LlamaIndex Agents
    6. Open Interpreter

    AI recommended 6 alternatives but never named MervinPraison/PraisonAI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best frameworks for deploying self-improving multi-agent systems with RAG and memory?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Haystack
    5. CrewAI

    AI recommended 5 alternatives but never named MervinPraison/PraisonAI. 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 MervinPraison/PraisonAI?
    pass
    AI named MervinPraison/PraisonAI explicitly

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

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

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

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MervinPraison/PraisonAI — 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