RRepoGEO

REPOGEO REPORT · LITE

minghao-wu/transagents

Default branch master · commit 9f97aa20 · scanned 6/7/2026, 8:38:09 AM

GitHub: 599 stars · 30 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 minghao-wu/transagents, 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
    Refine the About description to highlight literary translation

    Why:

    CURRENT
    The official repository of the paper "(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts"
    COPY-PASTE FIX
    A multi-agent LLM framework for high-quality, collaborative translation of ultra-long literary texts, as presented in our TACL paper.
  • mediumreadme#2
    Insert a concise problem statement after the main title

    Why:

    CURRENT
    # (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts
    COPY-PASTE FIX
    # (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts

This repository introduces TransAgents, a novel multi-agent LLM framework designed to tackle the unique challenges of translating lengthy and complex literary works.

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 minghao-wu/transagents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepL Pro
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepL Pro · recommended 2×
  2. Google Cloud Translation Advanced · recommended 2×
  3. Microsoft Translator Text API · recommended 1×
  4. Amazon Translate · recommended 1×
  5. Smartling · recommended 1×
  • CATEGORY QUERY
    How can I use AI to translate lengthy literary texts accurately and contextually?
    you: not recommended
    AI recommended (in order):
    1. DeepL Pro
    2. Google Cloud Translation Advanced
    3. Microsoft Translator Text API
    4. Amazon Translate
    5. Smartling
    6. SDL Trados Studio
    7. MemoQ

    AI recommended 7 alternatives but never named minghao-wu/transagents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI solutions leverage multi-agent collaboration for complex, high-quality text translation?
    you: not recommended
    AI recommended (in order):
    1. DeepL Pro
    2. Google Cloud Translation Advanced
    3. Microsoft Azure Translator
    4. Helsinki-NLP/Opus-MT
    5. ModernMT
    6. Hugging Face Transformers
    7. LangChain
    8. LlamaIndex

    AI recommended 8 alternatives but never named minghao-wu/transagents. 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 minghao-wu/transagents?
    pass
    AI named minghao-wu/transagents explicitly

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

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

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

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minghao-wu/transagents — 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