RRepoGEO

REPOGEO REPORT · LITE

linyiLYi/bilibot

Default branch main · commit c7466ede · scanned 5/21/2026, 4:08:25 AM

GitHub: 3,148 stars · 371 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
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 linyiLYi/bilibot, 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
    Add an explicit English summary to the README

    Why:

    COPY-PASTE FIX
    Add this as the first English text in the README: 'This project is a **local chatbot** fine-tuned on Bilibili user comments for text and voice conversations. It is **not** a Bilibili automation tool, live stream manager, or a bot for platform interaction.'
  • mediumhomepage#2
    Add a homepage URL, ideally linking to a demo

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Add a link to a demo video (e.g., on Bilibili or YouTube) or a dedicated project page if one exists. Example: `https://www.bilibili.com/video/BVxxxxxx` (replace with actual demo link). If no demo exists, consider creating one.

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 linyiLYi/bilibot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
https://github.com/ollama/ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. https://github.com/ollama/ollama · recommended 1×
  2. Llama 2 · recommended 1×
  3. Mistral · recommended 1×
  4. Gemma · recommended 1×
  5. https://github.com/huggingface/peft · recommended 1×
  • CATEGORY QUERY
    How to build a local chatbot using custom comment data for fine-tuning?
    you: not recommended
    AI recommended (in order):
    1. Ollama (https://github.com/ollama/ollama)
    2. Llama 2
    3. Mistral
    4. Gemma
    5. peft (https://github.com/huggingface/peft)
    6. transformers (https://github.com/huggingface/transformers)
    7. Hugging Face
    8. llama.cpp (https://github.com/ggerganov/llama.cpp)
    9. llama-cpp-python (https://github.com/abetlen/llama-cpp-python)
    10. Ludwig (https://github.com/ludwig-ai/ludwig)
    11. OpenAI finetune API
    12. Rasa (https://github.com/RasaHQ/rasa)

    AI recommended 12 alternatives but never named linyiLYi/bilibot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source Python tools exist for generating text and voice conversations locally?
    you: not recommended
    AI recommended (in order):
    1. Mozilla TTS (mozilla/TTS)
    2. Coqui TTS (coqui-ai/TTS)
    3. Hugging Face Transformers (huggingface/transformers)
    4. LangChain (langchain-ai/langchain)
    5. LlamaIndex (run-llama/llama_index)
    6. OpenVoice (myshell-ai/OpenVoice)
    7. Piper (rhasspy/piper)
    8. ESPnet (espnet/espnet)
    9. Bark (suno-ai/bark)

    AI recommended 9 alternatives but never named linyiLYi/bilibot. 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 linyiLYi/bilibot?
    pass
    AI named linyiLYi/bilibot explicitly

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

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

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

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linyiLYi/bilibot — 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