RRepoGEO

REPOGEO REPORT · LITE

jina-ai/thinkgpt

Default branch main · commit 59dd7e8a · scanned 5/25/2026, 8:52:56 AM

GitHub: 1,581 stars · 135 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 jina-ai/thinkgpt, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to highlight core differentiator

    Why:

    CURRENT
    ThinkGPT is a Python library aimed at implementing Chain of Thoughts for Large Language Models (LLMs), prompting the model to think, reason, and to create generative agents.
    COPY-PASTE FIX
    ThinkGPT is a lightweight Python library providing core building blocks for advanced LLM reasoning, enabling Chain of Thought patterns, long-term memory, and self-refinement to create powerful generative agents.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://jina.ai/thinkgpt

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 jina-ai/thinkgpt
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. Weaviate · recommended 1×
  4. Pinecone · recommended 1×
  5. Chroma · recommended 1×
  • CATEGORY QUERY
    How to improve LLM reasoning and overcome context window limitations with memory?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Weaviate
    4. Pinecone
    5. Chroma
    6. Redis
    7. FAISS
    8. Scikit-learn
    9. sentence-transformers
    10. Annoy

    AI recommended 10 alternatives but never named jina-ai/thinkgpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library for implementing chain of thought prompting and building LLM agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/haystack)
    4. CrewAI
    5. Autogen
    6. Guidance

    AI recommended 6 alternatives but never named jina-ai/thinkgpt. 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 jina-ai/thinkgpt?
    pass
    AI named jina-ai/thinkgpt explicitly

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

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

    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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