RRepoGEO

REPOGEO REPORT · LITE

Feather-2/Burner-X

Default branch main · commit c9e6410c · scanned 6/26/2026, 11:28:06 PM

GitHub: 1,729 stars · 702 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
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 Feather-2/Burner-X, 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 the README's first sentence to explicitly state it's a software platform for research

    Why:

    CURRENT
    这是一款开源的、在浏览器中即开即用的 AI 工作站，专为扫除海量的 PDF 文献、复杂的公式和跨语言的障碍。
    COPY-PASTE FIX
    Paper Burner X 是一款开源的、浏览器即开即用的 **AI 文献处理软件平台**，专为研究人员设计，提供文献识别、批量翻译、阅读与智能分析功能，旨在扫除海量 PDF 文献、复杂公式和跨语言障碍。
  • mediumabout#2
    Refine the repository description for clearer AI parsing

    Why:

    CURRENT
    Burner X - 浏览器即开即用，AI文献识别、文档批量翻译、阅读与智能分析工具 丨BYOK
    COPY-PASTE FIX
    Burner X 是一款浏览器即开即用的 **AI 学术文献处理软件**，提供文献识别、批量翻译、阅读与智能分析功能，支持多种文档格式。BYOK。

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 Feather-2/Burner-X
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA DGX Station A100
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA DGX Station A100 · recommended 1×
  2. Lambda Labs Quad GPU Workstation · recommended 1×
  3. Puget Systems Custom Workstation · recommended 1×
  4. Dell Precision 7960 Tower Workstation · recommended 1×
  5. HP Z8 Fury G5 Workstation · recommended 1×
  • CATEGORY QUERY
    I need an AI workstation to process, translate, and analyze large volumes of research papers.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA DGX Station A100
    2. Lambda Labs Quad GPU Workstation
    3. Puget Systems Custom Workstation
    4. Dell Precision 7960 Tower Workstation
    5. HP Z8 Fury G5 Workstation

    AI recommended 5 alternatives but never named Feather-2/Burner-X. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What browser-based tools provide AI-powered batch translation and smart analysis for diverse document types?
    you: not recommended
    AI recommended (in order):
    1. DeepL Pro
    2. Google Cloud Translation Advanced
    3. Azure AI Translator
    4. Smartling
    5. Trados Live
    6. MemoQ Cloud

    AI recommended 6 alternatives but never named Feather-2/Burner-X. 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 Feather-2/Burner-X?
    pass
    AI named Feather-2/Burner-X explicitly

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

  • If a team adopts Feather-2/Burner-X in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Feather-2/Burner-X 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 Feather-2/Burner-X solve, and who is the primary audience?
    pass
    AI named Feather-2/Burner-X 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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Feather-2/Burner-X — 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