RRepoGEO

REPOGEO REPORT · LITE

wannabespace/conar

Default branch tamery · commit beaf7470 · scanned 6/30/2026, 6:36:56 AM

GitHub: 1,398 stars · 108 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
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 wannabespace/conar, 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
    Update README to reflect repository name "Conar"

    Why:

    CURRENT
    #  Tamery.app

Tamery is an AI-powered open-source project that simplifies database interactions.
    COPY-PASTE FIX
    # Conar.app

Conar is an AI-powered open-source project that simplifies database interactions.
  • highabout#2
    Update repository description to explicitly mention "Conar"

    Why:

    CURRENT
    AI-powered tool for working with Postgres, MySQL, MSSQL and Clickhouse.
    COPY-PASTE FIX
    Conar: An AI-powered open-source tool for working with Postgres, MySQL, MSSQL and Clickhouse.
  • mediumreadme#3
    Strengthen README's opening sentence for clearer value proposition

    Why:

    CURRENT
    Conar is an AI-powered open-source project that simplifies database interactions. Built for PostgreSQL, MySQL, MSSQL, Clickhouse with support for other databases coming in the near future. Store your connections securely in our cloud and ask AI to help you write and optimize SQL queries.
    COPY-PASTE FIX
    Conar is an AI-powered open-source desktop application designed to simplify and optimize database interactions for developers and data professionals. It provides secure connection management and intelligent SQL assistance for PostgreSQL, MySQL, MSSQL, and Clickhouse, enabling users to write and optimize queries with AI.

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 wannabespace/conar
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Everest
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Everest · recommended 1×
  2. GitHub Copilot · recommended 1×
  3. DataChat · recommended 1×
  4. SQLFlow · recommended 1×
  5. Db2 AI for z/OS · recommended 1×
  • CATEGORY QUERY
    How can I use AI to optimize and write SQL queries for various database types?
    you: not recommended
    AI recommended (in order):
    1. Everest
    2. GitHub Copilot
    3. DataChat
    4. SQLFlow
    5. Db2 AI for z/OS
    6. BigQuery ML
    7. Vertex AI Workbench
    8. ChatGPT

    AI recommended 8 alternatives but never named wannabespace/conar. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source tool to manage multiple SQL database connections securely with AI help.
    you: not recommended
    AI recommended (in order):
    1. DataGrip
    2. DBeaver Community Edition
    3. Apache Superset
    4. SQL Developer
    5. Beekeeper Studio
    6. Adminer

    AI recommended 6 alternatives but never named wannabespace/conar. 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 wannabespace/conar?
    pass
    AI named wannabespace/conar explicitly

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

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

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

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wannabespace/conar — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite