RRepoGEO

REPOGEO REPORT · LITE

martimfasantos/ai-agents-frameworks

Default branch main · commit a2c412ce · scanned 6/6/2026, 4:22:58 AM

GitHub: 569 stars · 62 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 martimfasantos/ai-agents-frameworks, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add an MIT License file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a new file named `LICENSE` in the root of your repository and select the "MIT License" template provided by GitHub.
  • mediumhomepage#2
    Set the repository's homepage URL

    Why:

    COPY-PASTE FIX
    Set the "Homepage" URL in the repository's "About" section to `https://github.com/martimfasantos/ai-agents-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 martimfasantos/ai-agents-frameworks
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. AutoGen · recommended 1×
  4. Haystack · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How to compare different open-source AI agent frameworks for a new project?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Haystack
    5. CrewAI
    6. Semantic Kernel
    7. AgentVerse

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

    Show full AI answer
  • CATEGORY QUERY
    Need to experiment with various multi-agent frameworks to understand their core features.
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. PetriNetPy
    3. SPADE
    4. JADE
    5. NetLogo
    6. Anylogic
    7. MASON

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

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 martimfasantos/ai-agents-frameworks?
    pass
    AI named martimfasantos/ai-agents-frameworks explicitly

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

  • If a team adopts martimfasantos/ai-agents-frameworks in production, what risks or prerequisites should they evaluate first?
    pass
    AI named martimfasantos/ai-agents-frameworks 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 martimfasantos/ai-agents-frameworks solve, and who is the primary audience?
    pass
    AI did not name martimfasantos/ai-agents-frameworks — likely talking about a different project

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

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martimfasantos/ai-agents-frameworks — 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