RRepoGEO

REPOGEO REPORT · LITE

jjyaoao/HelloAgents

Default branch main · commit 5432566d · scanned 6/25/2026, 10:42:39 PM

GitHub: 2,173 stars · 529 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
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 jjyaoao/HelloAgents, 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
  • highabout#1
    Update GitHub repository description to emphasize production-grade framework

    Why:

    CURRENT
    A agent framework based on the tutorial hello-agents
    COPY-PASTE FIX
    A production-grade multi-agent framework for building complex AI applications, featuring 16 core capabilities like ToolResponse, context engineering, and session persistence. Includes a dedicated learning version.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/jjyaoao/HelloAgents
  • mediumlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). See the [LICENSE](LICENSE) file for details.

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 jjyaoao/HelloAgents
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. CrewAI · recommended 2×
  4. Haystack · recommended 2×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    How to build a robust multi-agent system with tools and persistent conversations?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. CrewAI
    5. Haystack
    6. OpenAI Assistants API
    7. Marvin

    AI recommended 7 alternatives but never named jjyaoao/HelloAgents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework provides production-ready LLM agent capabilities with context management and observability?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. LlamaIndex
    4. Arize AI
    5. Weights & Biases
    6. Haystack
    7. Prometheus
    8. Grafana
    9. Microsoft Semantic Kernel
    10. Azure Monitor
    11. Application Insights
    12. CrewAI
    13. ELK Stack
    14. Datadog

    AI recommended 14 alternatives but never named jjyaoao/HelloAgents. 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 jjyaoao/HelloAgents?
    pass
    AI named jjyaoao/HelloAgents explicitly

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

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