RRepoGEO

REPOGEO REPORT · LITE

myscale/MyScaleDB

Default branch main · commit 20a16d32 · scanned 5/27/2026, 5:26:34 AM

GitHub: 1,032 stars · 70 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 myscale/MyScaleDB, 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
  • highabout#1
    Reposition the 'About' description to lead with 'SQL vector database'

    Why:

    CURRENT
    A @ClickHouse fork that supports high-performance vector search and full-text search.
    COPY-PASTE FIX
    MyScaleDB is a high-performance SQL vector database for GenAI applications, built on ClickHouse, offering fast vector, full-text, and structured data search.
  • highreadme#2
    Strengthen README's opening statement to emphasize 'SQL vector database'

    Why:

    CURRENT
    *Enable every developer to build production-grade GenAI applications with powerful and familiar SQL.*
    COPY-PASTE FIX
    MyScaleDB is the SQL vector database for production-grade GenAI applications, enabling developers to build with powerful and familiar SQL.
  • mediumcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## MyScaleDB vs. Alternatives

MyScaleDB stands out from general-purpose SQL databases with vector extensions (like PostgreSQL with pgvector) and other vector databases by offering a fully integrated SQL vector database built on ClickHouse. This provides superior performance for combined vector, full-text, and structured data queries, eliminating the need for complex data orchestration across multiple systems.

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 myscale/MyScaleDB
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PostgreSQL
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PostgreSQL · recommended 1×
  2. pgvector · recommended 1×
  3. SingleStoreDB · recommended 1×
  4. ClickHouse · recommended 1×
  5. Apache Doris · recommended 1×
  • CATEGORY QUERY
    What database offers high-performance vector search for large datasets using standard SQL?
    you: not recommended
    AI recommended (in order):
    1. PostgreSQL
    2. pgvector
    3. SingleStoreDB
    4. ClickHouse
    5. Apache Doris
    6. DuckDB

    AI recommended 6 alternatives but never named myscale/MyScaleDB. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a scalable SQL database for AI applications requiring fast similarity search and RAG.
    you: not recommended
    AI recommended (in order):
    1. PostgreSQL with pgvector (pgvector/pgvector)
    2. Supabase (supabase/supabase)
    3. TimescaleDB (timescale/timescaledb)
    4. Google Cloud SQL for PostgreSQL
    5. Azure Database for PostgreSQL - Flexible Server
    6. Amazon RDS for PostgreSQL
    7. SingleStoreDB (singlestore-labs/singlestoredb)

    AI recommended 7 alternatives but never named myscale/MyScaleDB. 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 myscale/MyScaleDB?
    pass
    AI named myscale/MyScaleDB explicitly

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

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