RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/awesome-deepseek-agent

Default branch main · commit 3d45bfa6 · scanned 6/7/2026, 5:52:42 PM

GitHub: 3,284 stars · 352 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)

4 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
17 /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
1 / 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's "About" section

    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 improve categorization

    Why:

    COPY-PASTE FIX
    ["deepseek", "ai-agent", "coding-assistant", "llm-integration", "awesome-list", "guides", "tutorials"]
  • mediumlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    (Choose and add a standard open-source license file, e.g., MIT, Apache-2.0, or GPL-3.0, to the repository root.)

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 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
openai/openai-python
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/openai-python · recommended 1×
  2. anthropics/anthropic-sdk-python · recommended 1×
  3. googleapis/python-aiplatform · recommended 1×
  4. huggingface/transformers · recommended 1×
  5. Azure OpenAI Service · recommended 1×
  • CATEGORY QUERY
    How to integrate advanced language models into my existing AI agent workflow?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (openai/openai-python)
    2. Anthropic API (anthropics/anthropic-sdk-python)
    3. Google Cloud Vertex AI (googleapis/python-aiplatform)
    4. Hugging Face Transformers Library (huggingface/transformers)
    5. Azure OpenAI Service
    6. Cohere API (cohere-ai/cohere-python)

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for a coding assistant that supports various large language models.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue
    3. Codeium
    4. GitHub Copilot Enterprise
    5. Tabnine
    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 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?

  • 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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deepseek-ai/awesome-deepseek-agent — 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