RRepoGEO

REPOGEO REPORT · LITE

kyrolabs/awesome-langchain

Default branch main · commit 792b2b97 · scanned 6/24/2026, 4:33:10 AM

GitHub: 9,419 stars · 897 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)

2 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 kyrolabs/awesome-langchain, 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 the README opening to clearly state it's an *awesome list* of *LangChain ecosystem* resources.

    Why:

    CURRENT
    > Curated list of tools and projects using LangChain.
    COPY-PASTE FIX
    > The definitive awesome list for the LangChain ecosystem: a curated collection of tools, projects, and resources built *with* or *for* LangChain.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata.

    Why:

    COPY-PASTE FIX
    https://[YOUR_AWESOME_LANGCHAIN_HOMEPAGE_URL_HERE]
  • mediumtopics#3
    Add "langchain-ecosystem" and "llm-resources" to the repository topics.

    Why:

    CURRENT
    ai, awesome, awesome-list, langchain, llm
    COPY-PASTE FIX
    ai, awesome, awesome-list, langchain, llm, langchain-ecosystem, llm-resources

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 kyrolabs/awesome-langchain
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. Hugging Face Transformers · recommended 2×
  3. Weights & Biases · recommended 2×
  4. LlamaIndex · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    What are good tools and projects for building applications powered by large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. OpenAI API
    5. Azure OpenAI Service
    6. Haystack
    7. Gradio
    8. Streamlit
    9. Weights & Biases

    AI recommended 9 alternatives but never named kyrolabs/awesome-langchain. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a curated list of resources for developing sophisticated LLM-based solutions?
    you: not recommended
    AI recommended (in order):
    1. Awesome-LLM
    2. LangChain
    3. Hugging Face Transformers
    4. OpenAI
    5. Towards Data Science
    6. Weights & Biases

    AI recommended 6 alternatives but never named kyrolabs/awesome-langchain. 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 kyrolabs/awesome-langchain?
    pass
    AI did not name kyrolabs/awesome-langchain — 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 kyrolabs/awesome-langchain in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kyrolabs/awesome-langchain 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 kyrolabs/awesome-langchain solve, and who is the primary audience?
    pass
    AI named kyrolabs/awesome-langchain explicitly

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

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MARKDOWN (README)
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kyrolabs/awesome-langchain — 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