RRepoGEO

REPOGEO REPORT · LITE

Puchaczov/Musoq

Default branch master · commit 4b926220 · scanned 6/12/2026, 5:21:50 AM

GitHub: 503 stars · 22 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 Puchaczov/Musoq, 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 to emphasize "no database" and "ad-hoc file/log querying"

    Why:

    CURRENT
    # Musoq: SQL Superpowers for Developers

[](https://opensource.org/licenses/MIT)
[](https://github.com/Puchaczov/Musoq/graphs/code-frequency)
[](https://www.nuget.org/packages?q=musoq)

**Ad-hoc SQL queries against files, logs, processes, and more — with zero data ingestion or intermediate storage.**
    COPY-PASTE FIX
    # Musoq: A SQL Runtime for Ad-Hoc Queries on Files, Logs, and More — No Database Required.

[](https://opensource.org/licenses/MIT)
[](https://github.com/Puchaczov/Musoq/graphs/code-frequency)
[](https://www.nuget.org/packages?q=musoq)

**Musoq provides SQL superpowers for developers, enabling ad-hoc queries against files, logs, processes, and more — with zero data ingestion or intermediate storage.**
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai-assisted-queries, cross-platform, csharp, csv, data-analysis-sql, data-exploration, data-processing, dotnet, dotnet-core, dotnetcore, file-system, plugin-architecture, query-language, sql, sql-like, text-processing
    COPY-PASTE FIX
    ai-assisted-queries, cross-platform, csharp, csv, data-analysis-sql, data-exploration, data-processing, dotnet, dotnet-core, dotnetcore, file-system, plugin-architecture, query-language, sql, sql-like, text-processing, sql-runtime, data-virtualization, text-querying
  • mediumabout#3
    Expand the "About" description to include key differentiators

    Why:

    CURRENT
    SQL Runtime without any database
    COPY-PASTE FIX
    A SQL runtime for ad-hoc queries on files, logs, and processes, without any database. Extends standard SQL with inline text parsing, binary decoding, and cross-source data joins.

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 Puchaczov/Musoq
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
duckdb/duckdb
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. duckdb/duckdb · recommended 1×
  2. simonw/datasette · recommended 1×
  3. apache/drill · recommended 1×
  4. ClickHouse/ClickHouse · recommended 1×
  5. harelba/q · recommended 1×
  • CATEGORY QUERY
    How to run SQL queries directly on files and logs without a database?
    you: not recommended
    AI recommended (in order):
    1. DuckDB (duckdb/duckdb)
    2. Datasette (simonw/datasette)
    3. Apache Drill (apache/drill)
    4. ClickHouse (ClickHouse/ClickHouse)
    5. q (TextQL) (harelba/q)
    6. Logstash (elastic/logstash)
    7. Splunk

    AI recommended 7 alternatives but never named Puchaczov/Musoq. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a .NET tool to perform SQL-like data exploration on various text sources.
    you: not recommended
    AI recommended (in order):
    1. CsvHelper (JoshClose/CsvHelper)
    2. System.Text.Json (dotnet/runtime)
    3. Json.NET (JamesNK/Newtonsoft.Json)
    4. LINQPad
    5. C# Interactive
    6. Microsoft.Data.Analysis (dotnet/machinelearning)
    7. F# Data (fsharp/FSharp.Data)
    8. DataVeil
    9. OLE DB Text Driver

    AI recommended 9 alternatives but never named Puchaczov/Musoq. 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 Puchaczov/Musoq?
    pass
    AI named Puchaczov/Musoq explicitly

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

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

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

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Puchaczov/Musoq — 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