RRepoGEO

REPOGEO REPORT · LITE

Karben233/bili-hardcore

Default branch main · commit f7d5abb2 · scanned 5/21/2026, 4:57:10 PM

GitHub: 1,876 stars · 111 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)

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

AI VISIBILITY SCORE
28 /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
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 Karben233/bili-hardcore, 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
  • highreadme#1
    Clarify repo's role as a Bilibili quiz automation application

    Why:

    CURRENT
    B 站硬核会员自动答题工具，利用 LLM 实现智能答题功能。
    COPY-PASTE FIX
    这是一个专为 Bilibili 硬核会员设计的**自动化答题脚本/工具**，它利用大型语言模型 (LLM) API 实现智能答题功能，帮助用户轻松通过 B 站硬核会员试炼。
  • mediumabout#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Karben233/bili-hardcore
  • lowreadme#3
    Explicitly mention the project name 'Bili-Hardcore' in the introductory paragraph

    Why:

    CURRENT
    这是一个专为 Bilibili 硬核会员设计的自动化答题脚本/工具，它利用大型语言模型 (LLM) API 实现智能答题功能，帮助用户轻松通过 B 站硬核会员试炼。
    COPY-PASTE FIX
    这是一个专为 Bilibili 硬核会员设计的自动化答题脚本/工具，**Bili-Hardcore** 利用大型语言模型 (LLM) API 实现智能答题功能，帮助用户轻松通过 B 站硬核会员试炼。

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 Karben233/bili-hardcore
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  2. Google Gemini (Pro/Ultra) · recommended 1×
  3. Anthropic Claude 3 (Opus/Sonnet/Haiku) · recommended 1×
  4. huggingface/transformers · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How to automatically answer online platform membership quizzes using an AI model?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. Google Gemini (Pro/Ultra)
    3. Anthropic Claude 3 (Opus/Sonnet/Haiku)
    4. Hugging Face Transformers (huggingface/transformers)
    5. LangChain (langchain-ai/langchain)
    6. LlamaIndex (run-llama/llama_index)
    7. Cohere Command
    8. Microsoft Azure OpenAI Service

    AI recommended 8 alternatives but never named Karben233/bili-hardcore. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a script to automate online test answers via API, integrating various LLMs.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Anthropic API
    5. Google Cloud Vertex AI
    6. Hugging Face Transformers
    7. Selenium
    8. Playwright

    AI recommended 8 alternatives but never named Karben233/bili-hardcore. 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 Karben233/bili-hardcore?
    pass
    AI named Karben233/bili-hardcore explicitly

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

  • If a team adopts Karben233/bili-hardcore in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Karben233/bili-hardcore 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 Karben233/bili-hardcore solve, and who is the primary audience?
    pass
    AI did not name Karben233/bili-hardcore — 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?

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Karben233/bili-hardcore — 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