REPOGEO REPORT · LITE

lean-dojo/LeanCopilot

Default branch main · commit 2458f733 · scanned 6/26/2026, 6:42:11 AM

GitHub: 1,292 stars · 126 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)

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

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 lean-dojo/LeanCopilot, 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
Clarify project origin in the GitHub description
Why:
CURRENT
```
LLMs as Copilots for Theorem Proving in Lean
```
COPY-PASTE FIX
```
LeanDojo's AI Copilot: LLMs for Theorem Proving in Lean.
```

mediumreadme#2

Add a 'Key Features' bullet list to the README intro

Why:

COPY-PASTE FIX

Add the following section directly after the initial introductory paragraph in your README:

### Key Features:
*   **AI-powered Tactic Suggestion:** Get real-time suggestions for Lean tactics.
*   **Automated Proof Search:** Leverage LLMs to search for complete proofs.
*   **Intelligent Premise Selection:** Identify relevant premises for your proofs.
*   **Flexible Model Integration:** Use built-in LeanDojo models or integrate your own local/cloud LLMs.

lowtopics#3

Expand GitHub topics for better categorization

Why:

CURRENT

formal-mathematics, lean, lean4, llm, llm-inference, machine-learning, theorem-proving

COPY-PASTE FIX

formal-mathematics, lean, lean4, llm, llm-inference, machine-learning, theorem-proving, proof-automation, tactic-suggestion, ai-assistant

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 lean-dojo/LeanCopilot

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

leanprover-community/lean-copilot

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

leanprover-community/lean-copilot · recommended 1×
proofgpt/proofgpt · recommended 1×
coq-community/coq-gpt · recommended 1×
LukasVermeer/Tactician · recommended 1×
LeanDojo · recommended 1×

CATEGORY QUERY
What AI tools provide copilot features for automating theorem proving in Lean?
you: not recommended
AI recommended (in order):
1. Lean Copilot (leanprover-community/lean-copilot)
2. ProofGPT (proofgpt/proofgpt)
3. Coq-GPT (coq-community/coq-gpt)
4. Tactician (LukasVermeer/Tactician)
AI recommended 4 alternatives but never named lean-dojo/LeanCopilot. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I integrate large language models for proof automation and tactic suggestions in Lean?
you: not recommended
AI recommended (in order):
1. LeanDojo
2. GPT-F
3. Code Llama
4. ProofWidgets
5. Tactic API
6. OpenAI API
7. GPT-4
8. GPT-3.5 Turbo
9. Hugging Face Transformers
10. StarCoder
11. Llama.cpp
12. Ollama
13. Mistral
14. Graph Neural Networks (GNNs)
15. PyTorch Geometric
16. Deep Graph Library (DGL)
AI recommended 16 alternatives but never named lean-dojo/LeanCopilot. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 lean-dojo/LeanCopilot?
pass
AI named lean-dojo/LeanCopilot explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts lean-dojo/LeanCopilot in production, what risks or prerequisites should they evaluate first?
pass
AI named lean-dojo/LeanCopilot 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 lean-dojo/LeanCopilot solve, and who is the primary audience?
pass
AI named lean-dojo/LeanCopilot 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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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/lean-dojo/LeanCopilot"><img src="https://repogeo.com/badge/lean-dojo/LeanCopilot.svg" alt="RepoGEO" /></a>

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lean-dojo/LeanCopilot — 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