RRepoGEO

REPOGEO REPORT · LITE

caramaschiHG/awesome-ai-agents-2026

Default branch main · commit 781b6951 · scanned 6/2/2026, 12:57:35 PM

GitHub: 1,016 stars · 332 forks

AI VISIBILITY SCORE
27 /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
1 / 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 caramaschiHG/awesome-ai-agents-2026, 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 introductory sentence to README clarifying current value of the "2026" list

    Why:

    COPY-PASTE FIX
    This repository serves as your essential, up-to-date guide to the AI agent ecosystem, providing a comprehensive list of frameworks and tools that are shaping 2026 and beyond.
  • mediumtopics#2
    Expand topics to reinforce "ecosystem" and "future-proofing"

    Why:

    CURRENT
    2026, ai-agents, artificial-intelligence, awesome-list, chatgpt, langchain, llm, machine-learning
    COPY-PASTE FIX
    2026, ai-agents, artificial-intelligence, awesome-list, chatgpt, langchain, llm, machine-learning, ai-agent-ecosystem, ai-trends, future-ai, ai-resources
  • lowlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    This project operates under the terms specified in the [LICENSE](LICENSE) file. Please review it for details on usage and distribution.

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 caramaschiHG/awesome-ai-agents-2026
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. AutoGPT · recommended 1×
  4. Microsoft Semantic Kernel · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    What are the best AI agent frameworks and tools available for building intelligent applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. Microsoft Semantic Kernel
    5. Haystack
    6. CrewAI
    7. AgentGPT

    AI recommended 7 alternatives but never named caramaschiHG/awesome-ai-agents-2026. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive and categorized list of AI agents for various applications?
    you: not recommended
    AI recommended (in order):
    1. AgentVerse
    2. Awesome-AI-Agents
    3. Hugging Face Hub
    4. LangChain
    5. LlamaIndex
    6. Futurepedia
    7. There's An AI For That
    8. AI Top Tools

    AI recommended 8 alternatives but never named caramaschiHG/awesome-ai-agents-2026. 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 caramaschiHG/awesome-ai-agents-2026?
    pass
    AI did not name caramaschiHG/awesome-ai-agents-2026 — 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?

  • If a team adopts caramaschiHG/awesome-ai-agents-2026 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named caramaschiHG/awesome-ai-agents-2026 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 caramaschiHG/awesome-ai-agents-2026 solve, and who is the primary audience?
    pass
    AI did not name caramaschiHG/awesome-ai-agents-2026 — 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?

Embed your GEO score

Drop this badge into the README of caramaschiHG/awesome-ai-agents-2026. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/caramaschiHG/awesome-ai-agents-2026.svg)](https://repogeo.com/en/r/caramaschiHG/awesome-ai-agents-2026)
HTML
<a href="https://repogeo.com/en/r/caramaschiHG/awesome-ai-agents-2026"><img src="https://repogeo.com/badge/caramaschiHG/awesome-ai-agents-2026.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

caramaschiHG/awesome-ai-agents-2026 — 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