RRepoGEO

REPOGEO REPORT · LITE

duanyytop/agents-radar

Default branch master · commit ef0df652 · scanned 6/15/2026, 8:37:37 PM

GitHub: 833 stars · 130 forks

AI VISIBILITY SCORE
35 /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
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 duanyytop/agents-radar, 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 opening to clarify 'AI ecosystem digest' purpose

    Why:

    CURRENT
    # agents-radar
    
    English | [中文](./README.zh.md)
    
    A GitHub Actions workflow that runs every morning at 08:00 CST. It aggregates AI ecosystem signals from 10 data sources, then publishes bilingual (Chinese + English) daily digests as GitHub Issues and committed Markdown files. Weekly and monthly rollup reports are also generated automatically.
    COPY-PASTE FIX
    # agents-radar: Your Daily AI Ecosystem Digest
    
    English | [中文](./README.zh.md)
    
    **agents-radar** provides a daily, bilingual (Chinese + English) digest of the latest AI ecosystem trends. It aggregates signals from 10 key sources like GitHub, ArXiv, HN, and HuggingFace, publishing reports as GitHub Issues and Markdown files. Get your daily dose of AI news, research, and trending models, with weekly and monthly rollups automatically generated.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai, artificial-intelligence, machine-learning, llm, news-aggregator, daily-digest, github-actions, arxiv, huggingface, ai-news, ai-research, trending-ai, ecosystem-monitoring
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with your project's intent.

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 duanyytop/agents-radar
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Feedly
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Feedly · recommended 2×
  2. Hugging Face Daily Papers · recommended 1×
  3. The Batch by Andrew Ng (DeepLearning.AI) · recommended 1×
  4. Google News · recommended 1×
  5. TechCrunch AI · recommended 1×
  • CATEGORY QUERY
    How can I get a daily summary of trending AI news and research papers?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Daily Papers
    2. The Batch by Andrew Ng (DeepLearning.AI)
    3. Google News
    4. Feedly
    5. TechCrunch AI
    6. VentureBeat AI
    7. The Verge AI
    8. MIT Technology Review AI
    9. arXiv Sanity Preserver
    10. Google AI
    11. Meta AI
    12. OpenAI
    13. @arxiv_daily
    14. @papers_we_love
    15. Reddit (r/MachineLearning)
    16. Reddit (r/ArtificialIntelligence)
    17. The Neuron by Nathan Benaich

    AI recommended 17 alternatives but never named duanyytop/agents-radar. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools automate aggregating new AI models and research from various platforms?
    you: not recommended
    AI recommended (in order):
    1. Feedly
    2. Zapier
    3. IFTTT
    4. Google Alerts
    5. BeautifulSoup
    6. Requests
    7. Feedparser

    AI recommended 7 alternatives but never named duanyytop/agents-radar. 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 duanyytop/agents-radar?
    pass
    AI named duanyytop/agents-radar explicitly

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

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

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

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duanyytop/agents-radar — 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