RRepoGEO

REPOGEO REPORT · LITE

tencentmusic/supersonic

Default branch master · commit 9f2262c9 · scanned 5/22/2026, 8:21:51 AM

GitHub: 4,864 stars · 961 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 tencentmusic/supersonic, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-bi, chat-bi, headless-bi, semantic-layer, llm, text-to-sql, nl2sql, data-analytics, business-intelligence, open-source
  • highreadme#2
    Reposition the README's opening sentence to emphasize open-source and category

    Why:

    CURRENT
    SuperSonic is the next-generation AI+BI platform that unifies **Chat BI** (powered by LLM) and **Headless BI** (powered by semantic layer) paradigms.
    COPY-PASTE FIX
    SuperSonic is an **open-source, next-generation AI+BI platform** that unifies **Chat BI** (powered by LLM) and **Headless BI** (powered by semantic layer) paradigms, providing a powerful alternative to commercial BI solutions.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://[your-project-homepage-url-here]

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 tencentmusic/supersonic
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ThoughtSpot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ThoughtSpot · recommended 2×
  2. Tableau CRM (formerly Einstein Analytics) · recommended 1×
  3. Microsoft Power BI · recommended 1×
  4. Qlik Sense · recommended 1×
  5. Looker (Google Cloud Looker) · recommended 1×
  • CATEGORY QUERY
    Seeking a platform for business intelligence enabling natural language data querying and visualization.
    you: not recommended
    AI recommended (in order):
    1. Tableau CRM (formerly Einstein Analytics)
    2. Microsoft Power BI
    3. ThoughtSpot
    4. Qlik Sense
    5. Looker (Google Cloud Looker)
    6. Sisense

    AI recommended 6 alternatives but never named tencentmusic/supersonic. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What solutions unify LLM-powered chat BI with a robust semantic layer for data?
    you: not recommended
    AI recommended (in order):
    1. Atlan
    2. dbt (dbt-labs/dbt-core)
    3. LangChain (langchain-ai/langchain)
    4. LlamaIndex (run-llama/llama_index)
    5. OpenAI GPT
    6. Anthropic Claude
    7. Looker
    8. LookML
    9. Duet AI for Looker
    10. Cube.dev (cube-js/cube)
    11. ThoughtSpot
    12. Monitor
    13. SpotIQ
    14. Power BI
    15. Copilot for Power BI
    16. Tableau
    17. Tableau Pulse
    18. Python
    19. Pandas (pandas-dev/pandas)
    20. SQLAlchemy (sqlalchemy/sqlalchemy)

    AI recommended 20 alternatives but never named tencentmusic/supersonic. 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 tencentmusic/supersonic?
    pass
    AI named tencentmusic/supersonic explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of tencentmusic/supersonic. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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tencentmusic/supersonic — 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