RRepoGEO

REPOGEO REPORT · LITE

Doriandarko/RAT-retrieval-augmented-thinking

Default branch main · commit f2dc5319 · scanned 6/16/2026, 3:22:35 AM

GitHub: 658 stars · 78 forks

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 Doriandarko/RAT-retrieval-augmented-thinking, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, deepseek, openrouter, rag, agentic-ai, ai-framework, reasoning, structured-thinking, retrieval-augmented-generation, python
  • highreadme#2
    Refine the README's opening statement for clearer positioning

    Why:

    CURRENT
    > *Enhancing AI responses through structured reasoning and knowledge retrieval*
    COPY-PASTE FIX
    > *A Python framework for enhancing AI responses by guiding LLMs through structured reasoning and knowledge retrieval, leveraging DeepSeek's capabilities.*
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    [Your project's dedicated homepage URL, e.g., a documentation site or project page]

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 Doriandarko/RAT-retrieval-augmented-thinking
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. DSPy · recommended 1×
  4. Vellum · recommended 1×
  5. Humanloop · recommended 1×
  • CATEGORY QUERY
    How to guide AI models through a structured thinking process for better responses?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. DSPy
    4. Vellum
    5. Humanloop

    AI recommended 5 alternatives but never named Doriandarko/RAT-retrieval-augmented-thinking. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable using a powerful reasoning model to enhance other LLM outputs?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. OpenAI API
    4. Anthropic API
    5. Hugging Face Transformers (huggingface/transformers)
    6. Guidance (microsoft/guidance)
    7. PromptLayer (magniv/promptlayer)
    8. Weights & Biases Prompts (wandb/wandb)

    AI recommended 8 alternatives but never named Doriandarko/RAT-retrieval-augmented-thinking. 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 Doriandarko/RAT-retrieval-augmented-thinking?
    pass
    AI named Doriandarko/RAT-retrieval-augmented-thinking explicitly

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

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

Embed your GEO score

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Doriandarko/RAT-retrieval-augmented-thinking — 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