RRepoGEO

REPOGEO REPORT · LITE

winfunc/deepreasoning

Default branch main · commit eaf390c0 · scanned 5/31/2026, 2:22:03 PM

GitHub: 5,352 stars · 441 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 winfunc/deepreasoning, 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's opening sentence to clarify project type

    Why:

    CURRENT
    Harness the power of DeepSeek R1's reasoning and Claude's creativity and code generation capabilities with a unified API and chat interface.
    COPY-PASTE FIX
    DeepReasoning is a high-performance LLM inference API and Chat UI designed to combine DeepSeek R1's Chain of Thought (CoT) reasoning with Anthropic Claude's creative and code generation capabilities.
  • mediumhomepage#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://deepreasoning.asterisk.so
  • mediumreadme#3
    Add explicit differentiation to 'Why R1 + Claude?' section

    Why:

    COPY-PASTE FIX
    Within the 'Why R1 + Claude?' section, add a sentence like: 'Unlike general LLM orchestration frameworks, DeepReasoning provides a tightly integrated, high-performance API and UI specifically optimized for leveraging DeepSeek R1's reasoning traces with Anthropic Claude's capabilities, offering a streamlined solution for this powerful combination.'

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 winfunc/deepreasoning
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. GPT Index · recommended 1×
  4. Microsoft Guidance · recommended 1×
  5. OpenAI Function Calling · recommended 1×
  • CATEGORY QUERY
    How can I combine different large language models for enhanced reasoning and creative output?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. GPT Index
    4. Microsoft Guidance
    5. OpenAI Function Calling
    6. Anthropic Tools
    7. Haystack
    8. GPT-4
    9. Claude 3 Opus
    10. GPT-3.5 Turbo

    AI recommended 10 alternatives but never named winfunc/deepreasoning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a high-performance Rust API for integrating multiple LLM capabilities and a chat interface.
    you: not recommended
    AI recommended (in order):
    1. llm-chain
    2. candle
    3. reqwest
    4. OpenAI Rust Library (unofficial)
    5. axum
    6. leptos
    7. dioxus

    AI recommended 7 alternatives but never named winfunc/deepreasoning. 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 winfunc/deepreasoning?
    pass
    AI named winfunc/deepreasoning explicitly

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

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

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

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winfunc/deepreasoning — 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