RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/DeepSeek-V2

Default branch main · commit ec98ee3c · scanned 5/14/2026, 8:58:30 PM

GitHub: 5,010 stars · 539 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 deepseek-ai/DeepSeek-V2, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    large-language-model, llm, mixture-of-experts, moe, deep-learning, artificial-intelligence, open-source-llm, cost-effective-llm, efficient-llm
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://www.deepseek.com/
  • mediumreadme#3
    Harmonize license information in README with repository metadata

    Why:

    COPY-PASTE FIX
    In the 'License' section of the README, add a clear statement like: 'While the repository metadata indicates an MIT license, DeepSeek-V2 operates under a dual licensing model. The code is governed by the terms in [LICENSE-CODE file name], and the model weights are governed by the terms in [LICENSE-MODEL file name]. Please consult both files for complete details.'

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-V2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-3.5 Turbo · recommended 1×
  2. Llama 3 · recommended 1×
  3. Mistral 7B Instruct · recommended 1×
  4. Mixtral 8x7B Instruct · recommended 1×
  5. Claude 3 Haiku · recommended 1×
  • CATEGORY QUERY
    What are some efficient and cost-effective large language models for general AI tasks?
    you: not recommended
    AI recommended (in order):
    1. GPT-3.5 Turbo
    2. Llama 3
    3. Mistral 7B Instruct
    4. Mixtral 8x7B Instruct
    5. Claude 3 Haiku
    6. Google Gemini 1.5 Flash
    7. Cohere Command R
    8. Command R+

    AI recommended 8 alternatives but never named deepseek-ai/DeepSeek-V2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which powerful open-source large language models offer a Mixture-of-Experts architecture?
    you: not recommended
    AI recommended (in order):
    1. Mixtral 8x7B
    2. Qwen1.5-MoE
    3. DeepSeek-MoE
    4. OpenChat-3.5-0106
    5. Yi-MoE

    AI recommended 5 alternatives but never named deepseek-ai/DeepSeek-V2. 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-V2?
    pass
    AI named deepseek-ai/DeepSeek-V2 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/DeepSeek-V2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/DeepSeek-V2 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-V2 solve, and who is the primary audience?
    pass
    AI named deepseek-ai/DeepSeek-V2 explicitly

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

Embed your GEO score

Drop this badge into the README of deepseek-ai/DeepSeek-V2. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/deepseek-ai/DeepSeek-V2.svg)](https://repogeo.com/en/r/deepseek-ai/DeepSeek-V2)
HTML
<a href="https://repogeo.com/en/r/deepseek-ai/DeepSeek-V2"><img src="https://repogeo.com/badge/deepseek-ai/DeepSeek-V2.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

deepseek-ai/DeepSeek-V2 — 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