RRepoGEO

REPOGEO REPORT · LITE

TsinghuaDatabaseGroup/DB-GPT

Default branch main · commit 73cb3297 · scanned 6/6/2026, 2:12:38 PM

GitHub: 708 stars · 97 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 TsinghuaDatabaseGroup/DB-GPT, 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
    Reposition the README's opening sentence to clarify its LLM-powered diagnosis role

    Why:

    CURRENT
    🦾 Build your personal database administrator (D-Bot)🧑‍💻, wh
    COPY-PASTE FIX
    DB-GPT is an open-source, LLM-powered diagnosis system designed to act as your personal database administrator (D-Bot), automating performance tuning and anomaly detection.
  • mediumtopics#2
    Add LLM-specific and open-source topics

    Why:

    CURRENT
    database, dba, diagnosis, tuning
    COPY-PASTE FIX
    database, dba, diagnosis, tuning, llm, large-language-model, ai-agent, open-source
  • lowreadme#3
    Add a sentence highlighting DB-GPT's open-source and privacy differentiators

    Why:

    COPY-PASTE FIX
    Unlike many proprietary solutions, DB-GPT is an open-source framework prioritizing data privacy and security through local and private LLM deployment.

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 TsinghuaDatabaseGroup/DB-GPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SolarWinds Database Performance Analyzer (DPA)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SolarWinds Database Performance Analyzer (DPA) · recommended 1×
  2. Dynatrace · recommended 1×
  3. Datadog Database Monitoring · recommended 1×
  4. Opsani · recommended 1×
  5. Percona Monitoring and Management (PMM) · recommended 1×
  • CATEGORY QUERY
    How can I leverage AI to automatically diagnose and tune database performance issues?
    you: not recommended
    AI recommended (in order):
    1. SolarWinds Database Performance Analyzer (DPA)
    2. Dynatrace
    3. Datadog Database Monitoring
    4. Opsani
    5. Percona Monitoring and Management (PMM)
    6. Microsoft Azure SQL Database Intelligent Performance
    7. Oracle Autonomous Database

    AI recommended 7 alternatives but never named TsinghuaDatabaseGroup/DB-GPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best LLM-powered tools for automating routine database administration tasks?
    you: not recommended
    AI recommended (in order):
    1. Everest
    2. SQLFlow
    3. DBmarlin
    4. Opsera
    5. DataRobot

    AI recommended 5 alternatives but never named TsinghuaDatabaseGroup/DB-GPT. 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 TsinghuaDatabaseGroup/DB-GPT?
    pass
    AI named TsinghuaDatabaseGroup/DB-GPT explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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