RRepoGEO

REPOGEO REPORT · LITE

TigerResearch/TigerBot

Default branch main · commit a80a3fbb · scanned 5/26/2026, 8:27:37 AM

GitHub: 2,263 stars · 189 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 TigerResearch/TigerBot, 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
    Create a prominent 'Medical LLM' section in README

    Why:

    CURRENT
    Medical information is currently under "最新发布" with a date.
    COPY-PASTE FIX
    Add a new top-level section to the README, e.g., "## 🚀 Medical LLM Capabilities\nTigerBot introduces MedCT (Medical Clinical Terminology), the world's first Chinese clinical terminology system, alongside state-of-the-art medical NER and foundational models for both Chinese and English, achieving new SOTA in medical NER tasks." This should be placed higher than "最新发布".
  • hightopics#2
    Add specific topics for medical and foundational LLM

    Why:

    CURRENT
    chinese, data, llama2, llm, nlp
    COPY-PASTE FIX
    chinese, data, llama2, llm, nlp, medical-llm, healthcare-ai, foundation-model, open-source-llm
  • mediumreadme#3
    Add explicit open-source foundational LLM statement to README intro

    Why:

    CURRENT
    The current intro is primarily styled text: <p align="center"> <font face="黑体" color=orange size=5> A cutting-edge foundation for your very own LLM. </font> </p>
    COPY-PASTE FIX
    Add the following sentence immediately after the initial styled intro: "TigerBot is an open-source, multi-language foundational LLM designed for developers and researchers to build custom applications, with robust performance particularly in Chinese contexts."

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 TigerResearch/TigerBot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 2×
  2. ERNIE 4.0 · recommended 1×
  3. LLaMA 3 · recommended 1×
  4. GLM-4 · recommended 1×
  5. Claude 3 Opus · recommended 1×
  • CATEGORY QUERY
    Seeking a foundational multi-language LLM with robust performance in Chinese contexts.
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. ERNIE 4.0
    3. LLaMA 3
    4. GLM-4
    5. Claude 3 Opus

    AI recommended 5 alternatives but never named TigerResearch/TigerBot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which large language models are suitable for medical natural language understanding and terminology?
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. BioGPT
    3. GatorTron
    4. ClinicalBERT
    5. PubMedBERT
    6. GPT-4

    AI recommended 6 alternatives but never named TigerResearch/TigerBot. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 TigerResearch/TigerBot?
    pass
    AI named TigerResearch/TigerBot explicitly

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

  • If a team adopts TigerResearch/TigerBot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TigerResearch/TigerBot 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 TigerResearch/TigerBot solve, and who is the primary audience?
    pass
    AI named TigerResearch/TigerBot 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)
[![RepoGEO](https://repogeo.com/badge/TigerResearch/TigerBot.svg)](https://repogeo.com/en/r/TigerResearch/TigerBot)
HTML
<a href="https://repogeo.com/en/r/TigerResearch/TigerBot"><img src="https://repogeo.com/badge/TigerResearch/TigerBot.svg" alt="RepoGEO" /></a>
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TigerResearch/TigerBot — 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