RRepoGEO

REPOGEO REPORT · LITE

esengine/DeepSeek-Reasonix

Default branch main-v2 · commit ef1f38c8 · scanned 6/17/2026, 6:51:54 PM

GitHub: 22,900 stars · 1,369 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 esengine/DeepSeek-Reasonix, 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
    Add a clear, concise H1 and opening paragraph to the README

    Why:

    CURRENT
    The current README excerpt starts with alignment tags and an IMPORTANT block about a rewrite, lacking an immediate product statement.
    COPY-PASTE FIX
    Add a prominent H1 and a concise opening paragraph immediately after the language links/badges, e.g., `# DeepSeek-Reasonix: Your Persistent AI Coding Agent for the Terminal` followed by a sentence like "DeepSeek-Reasonix is a DeepSeek-native AI coding agent designed to live in your terminal, offering stable, prefix-cached assistance for developers."
  • mediumreadme#2
    Integrate 'prefix-cache stability' as a key feature in the README

    Why:

    CURRENT
    The README excerpt does not immediately highlight "prefix-cache stability" as a core feature.
    COPY-PASTE FIX
    Ensure "Engineered around prefix-cache stability — leave it running" or similar phrasing is prominently featured in the initial README content, perhaps as a subheading or a key bullet point near the top, to highlight its unique value.
  • lowcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a section to the README titled "Why DeepSeek-Reasonix?" or "Comparison with Alternatives" that explicitly contrasts its features (e.g., DeepSeek-native, prefix-cache stability, Go rewrite) with common terminal AI coding agents like ShellGPT, Aider, and Continue.

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 esengine/DeepSeek-Reasonix
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ShellGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ShellGPT · recommended 2×
  2. Aider · recommended 2×
  3. GitHub Copilot CLI · recommended 1×
  4. Fig AI · recommended 1×
  5. Continue · recommended 1×
  • CATEGORY QUERY
    How can I get an AI assistant to help me code directly in my terminal?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot CLI
    2. Fig AI
    3. ShellGPT
    4. Aider
    5. Continue
    6. Codeium

    AI recommended 6 alternatives but never named esengine/DeepSeek-Reasonix. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best persistent AI coding agents for developers working in the command line?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue.dev
    3. Smol-Developer
    4. OpenDevin
    5. GPT-Engineer
    6. Aider
    7. ShellGPT

    AI recommended 7 alternatives but never named esengine/DeepSeek-Reasonix. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 esengine/DeepSeek-Reasonix?
    pass
    AI named esengine/DeepSeek-Reasonix explicitly

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

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

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

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esengine/DeepSeek-Reasonix — 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