RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/DeepSeek-Prover-V2

Default branch main · commit e598a57e · scanned 5/25/2026, 5:48:05 AM

GitHub: 1,264 stars · 99 forks

AI VISIBILITY SCORE
30 /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
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-Prover-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

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

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    An open-source large language model (LLM) designed for formal theorem proving in Lean 4, leveraging reinforcement learning for subgoal decomposition.
  • mediumreadme#2
    Clarify the project's license(s) in the README

    Why:

    COPY-PASTE FIX
    Add a clear statement in the 'License' section (or create one if missing) specifying which license(s) apply to the code and models in this repository, referencing the actual `LICENSE` file(s) present (e.g., 'This repository contains code and models released under [specific license name(s) from the LICENSE file, e.g., a custom DeepSeek license]. Please refer to the `LICENSE` file for full 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-Prover-V2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coq
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Coq · recommended 2×
  2. leanprover-community/mathlib4 · recommended 1×
  3. Isabelle/HOL · recommended 1×
  4. Z3 Theorem Prover · recommended 1×
  5. Prover9/Mace4 · recommended 1×
  • CATEGORY QUERY
    How can I use AI to automate formal mathematical proofs and logical reasoning tasks?
    you: not recommended
    AI recommended (in order):
    1. Lean 4 with mathlib (leanprover-community/mathlib4)
    2. Coq
    3. Isabelle/HOL
    4. Z3 Theorem Prover
    5. Prover9/Mace4
    6. Wolfram Mathematica
    7. OpenAI Codex / GPT-4

    AI recommended 7 alternatives but never named deepseek-ai/DeepSeek-Prover-V2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools apply reinforcement learning for automated theorem proving or subgoal decomposition?
    you: not recommended
    AI recommended (in order):
    1. DeepMind's AlphaZero/AlphaGo-like systems (custom implementations)
    2. TensorFlow
    3. PyTorch
    4. OpenAI Gym
    5. Stable Baselines3
    6. RLlib
    7. PyTorch-Geometric
    8. Deep Graph Library (DGL)
    9. Coq
    10. Lean
    11. Game of Lean
    12. Prover9
    13. Mace4

    AI recommended 13 alternatives but never named deepseek-ai/DeepSeek-Prover-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
    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/DeepSeek-Prover-V2?
    pass
    AI named deepseek-ai/DeepSeek-Prover-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-Prover-V2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/DeepSeek-Prover-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-Prover-V2 solve, and who is the primary audience?
    pass
    AI named deepseek-ai/DeepSeek-Prover-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

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deepseek-ai/DeepSeek-Prover-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