RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/awesome-deepseek-agent

Default branch main · commit 709a6680 · scanned 5/7/2026, 4:03:53 PM

GitHub: 817 stars · 90 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 deepseek-ai/awesome-deepseek-agent, 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
  • highabout#1
    Add a concise description to the repository

    Why:

    COPY-PASTE FIX
    A curated list of guides for integrating DeepSeek models into popular AI agent and coding-assistant tools.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    awesome-list, deepseek, ai-agents, coding-assistant, llm-integration, guides, tutorials
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

Category GEO backends resolved for this scan: google/gemini-2.0-flash-001, deepseek/deepseek-chat

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.0-flash-001. 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 deepseek-ai/awesome-deepseek-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Continue.dev
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Continue.dev · recommended 2×
  2. Codeium · recommended 2×
  3. Tabnine · recommended 2×
  4. Sourcegraph Cody · recommended 2×
  5. Amazon CodeWhisperer · recommended 2×
  • CATEGORY QUERY
    How can I use different large language models with my preferred coding assistant tools?
    you: not recommended
    AI recommended (in order):
    1. Continue.dev
    2. Cursor
    3. Codeium
    4. Tabnine
    5. Sourcegraph Cody
    6. JetBrains AI Assistant
    7. Amazon CodeWhisperer

    AI recommended 7 alternatives but never named deepseek-ai/awesome-deepseek-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for guides to configure AI coding assistants with custom large language models.
    you: not recommended
    AI recommended (in order):
    1. Continue.dev
    2. Codeium
    3. Sourcegraph Cody
    4. Tabnine
    5. Mutable.ai
    6. Amazon CodeWhisperer

    AI recommended 6 alternatives but never named deepseek-ai/awesome-deepseek-agent. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 deepseek-ai/awesome-deepseek-agent?
    pass
    AI named deepseek-ai/awesome-deepseek-agent explicitly

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

  • If a team adopts deepseek-ai/awesome-deepseek-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/awesome-deepseek-agent 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 deepseek-ai/awesome-deepseek-agent solve, and who is the primary audience?
    pass
    AI did not name deepseek-ai/awesome-deepseek-agent — 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?

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