RRepoGEO

REPOGEO REPORT · LITE

andrewyng/translation-agent

Default branch main · commit e0fc605a · scanned 5/14/2026, 7:33:03 PM

GitHub: 5,736 stars · 705 forks

AI VISIBILITY SCORE
23 /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
2 / 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 andrewyng/translation-agent, 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
  • highreadme#1
    Reposition README to clarify its role as a demonstration/starting point

    Why:

    CURRENT
    This is a Python demonstration of a reflection agentic workflow for machine translation.
    COPY-PASTE FIX
    This is a Python demonstration of a reflection agentic workflow for machine translation. It serves as a starting point for building more complex LLM agents, rather than a production-ready system.
  • highabout#2
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    A Python demonstration of an agentic workflow for machine translation using LLMs and reflection, designed as a starting point for building advanced translation agents.

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 andrewyng/translation-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. OpenNMT/OpenNMT-py · recommended 1×
  3. facebookresearch/fairseq · recommended 1×
  4. Google Cloud Translation Advanced · recommended 1×
  5. Amazon Translate · recommended 1×
  • CATEGORY QUERY
    How to achieve highly customizable machine translation with an AI agent?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. OpenNMT-py (OpenNMT/OpenNMT-py)
    3. Fairseq (facebookresearch/fairseq)
    4. Google Cloud Translation Advanced
    5. Amazon Translate
    6. Microsoft Translator Custom Translator

    AI recommended 6 alternatives but never named andrewyng/translation-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools offer iterative, self-improving machine translation using large language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude
    3. Hugging Face Transformers Library
    4. Google Cloud Vertex AI
    5. Microsoft Azure OpenAI Service
    6. DeepL API

    AI recommended 6 alternatives but never named andrewyng/translation-agent. 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 andrewyng/translation-agent?
    pass
    AI did not name andrewyng/translation-agent — likely talking about a different project

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

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

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

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andrewyng/translation-agent — 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