RRepoGEO

REPOGEO REPORT · LITE

InternLM/InternLM-Math

Default branch main · commit eaead17b · scanned 6/5/2026, 4:18:11 AM

GitHub: 547 stars · 36 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 InternLM/InternLM-Math, 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
  • highhomepage#1
    Set the project homepage URL

    Why:

    COPY-PASTE FIX
    https://internlm.intern-ai.org.cn/
  • mediumreadme#2
    Refine the README's opening sentence to emphasize LLM's role in formal math

    Why:

    CURRENT
    State-of-the-art bilingual open-sourced Math reasoning LLMs. A **solver**, **prover**, **verifier**, **augmentor**.
    COPY-PASTE FIX
    InternLM-Math is a state-of-the-art bilingual open-sourced Large Language Model (LLM) specifically designed for advanced mathematical reasoning, serving as a powerful **solver**, **prover**, **verifier**, and **augmentor** for both informal and formal mathematics, including automated theorem proving and formalization tasks.

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 InternLM/InternLM-Math
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 1×
  2. Mixtral 8x7B Instruct · recommended 1×
  3. Code Llama · recommended 1×
  4. Gemma · recommended 1×
  5. Phi-3 · recommended 1×
  • CATEGORY QUERY
    What open-source large language models are available for advanced mathematical problem solving?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mixtral 8x7B Instruct
    3. Code Llama
    4. Gemma
    5. Phi-3

    AI recommended 5 alternatives but never named InternLM/InternLM-Math. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI tool to assist with automated theorem proving and mathematical formalization.
    you: not recommended
    AI recommended (in order):
    1. Lean 4
    2. Coq
    3. Isabelle/HOL
    4. Agda
    5. HOL Light
    6. Mizar

    AI recommended 6 alternatives but never named InternLM/InternLM-Math. 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 InternLM/InternLM-Math?
    pass
    AI named InternLM/InternLM-Math explicitly

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

  • If a team adopts InternLM/InternLM-Math in production, what risks or prerequisites should they evaluate first?
    pass
    AI named InternLM/InternLM-Math 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 InternLM/InternLM-Math solve, and who is the primary audience?
    pass
    AI named InternLM/InternLM-Math explicitly

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

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InternLM/InternLM-Math — 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