RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/DeepSeek-LLM

Default branch main · commit 6712a86b · scanned 7/1/2026, 3:12:24 AM

GitHub: 7,039 stars · 1,102 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
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 deepseek-ai/DeepSeek-LLM, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen the README introduction with key differentiators and use cases

    Why:

    CURRENT
    Introducing DeepSeek LLM, an advanced language model comprising 67 billion parameters. It has been trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese. In order to foster research, we have made DeepSeek LLM 7B/67B Base and DeepSeek LLM 7B/67B Chat open source for the research community.
    COPY-PASTE FIX
    DeepSeek LLM is an advanced, open-source large language model (LLM) designed for general-purpose applications, excelling in both English and Chinese text generation. Comprising 67 billion parameters and trained on 2 trillion tokens, DeepSeek LLM 7B/67B Base and Chat models are released to foster research and development in areas like reasoning, coding, math, and multi-lingual comprehension.
  • mediumabout#2
    Make the repository description more explicit about its function

    Why:

    CURRENT
    DeepSeek LLM: Let there be answers
    COPY-PASTE FIX
    DeepSeek LLM: Open-source large language models (LLMs) for advanced English and Chinese text generation, reasoning, and coding.

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/DeepSeek-LLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 2×
  2. Mistral 7B · recommended 1×
  3. Mixtral 8x7B · recommended 1×
  4. Gemma · recommended 1×
  5. Falcon · recommended 1×
  • CATEGORY QUERY
    Seeking powerful open source large language models for general purpose applications.
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral 7B
    3. Mixtral 8x7B
    4. Gemma
    5. Falcon
    6. Vicuna

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

    Show full AI answer
  • CATEGORY QUERY
    Which LLMs provide strong performance for both English and Chinese text generation?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus / Sonnet
    3. Gemini 1.5 Pro
    4. ERNIE Bot 4.0
    5. Llama 3
    6. Qwen2

    AI recommended 6 alternatives but never named deepseek-ai/DeepSeek-LLM. 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 deepseek-ai/DeepSeek-LLM?
    pass
    AI did not name deepseek-ai/DeepSeek-LLM — 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/DeepSeek-LLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/DeepSeek-LLM 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/DeepSeek-LLM solve, and who is the primary audience?
    pass
    AI named deepseek-ai/DeepSeek-LLM explicitly

    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/DeepSeek-LLM — 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