RRepoGEO

REPOGEO REPORT · LITE

antgroup/agentic-ai-landscape

Default branch main · commit af09ca6e · scanned 6/26/2026, 5:03:38 PM

GitHub: 501 stars · 35 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 antgroup/agentic-ai-landscape, 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 README to clarify it's an ecosystem overview, not a framework

    Why:

    COPY-PASTE FIX
    Add the following sentence directly after the `# Agentic AI Landscape and Trends` heading: "This repository provides a data-driven, curated overview and analysis of the Agentic AI ecosystem, focusing on key projects and trends rather than offering a deployable framework or library."
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, using the MIT License or Apache-2.0 License, to clearly state the terms of use.
  • mediumabout#3
    Enhance the repository's 'About' description

    Why:

    CURRENT
    Data driven agentic landscapes and insights. Produced by Ant Open Source and inclusionAI.
    COPY-PASTE FIX
    A data-driven, curated overview and analysis of the Agentic AI ecosystem, providing insights into key projects and trends. Produced by Ant Open Source and inclusionAI.

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 antgroup/agentic-ai-landscape
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. AI Engineer Summit · recommended 1×
  4. GenAI Summit · recommended 1×
  5. Hugging Face · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive overview of the current agentic AI ecosystem landscape?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. AI Engineer Summit
    4. GenAI Summit
    5. Hugging Face
    6. Transformers Agents
    7. The AI Engineer
    8. AutoGen (microsoft/autogen)
    9. CrewAI (joaomdmoura/crewai)

    AI recommended 9 alternatives but never named antgroup/agentic-ai-landscape. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the leading projects and frameworks in the agentic AI development space?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. CrewAI
    5. Haystack
    6. Microsoft AutoGen
    7. BabyAGI

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

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 antgroup/agentic-ai-landscape?
    pass
    AI did not name antgroup/agentic-ai-landscape — 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 antgroup/agentic-ai-landscape in production, what risks or prerequisites should they evaluate first?
    pass
    AI named antgroup/agentic-ai-landscape 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 antgroup/agentic-ai-landscape solve, and who is the primary audience?
    pass
    AI did not name antgroup/agentic-ai-landscape — 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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  • Brand-free category queries5 vs 2 in Lite
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