RRepoGEO

REPOGEO REPORT · LITE

explorerhq/sql-explorer

Default branch master · commit 7627b426 · scanned 5/23/2026, 7:06:38 PM

GitHub: 2,874 stars · 368 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 explorerhq/sql-explorer, 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 README's opening statement

    Why:

    CURRENT
    SQL Explorer
`Official Website <https://www.sqlexplorer.io/>`_
* `Live Demo <https://demo.sqlexplorer.io/>`_
* `Documentation <https://django-sql-explorer.readthedocs.io/en/latest/>`_
    COPY-PASTE FIX
    SQL Explorer: Your web-based SQL editor for analytics, reporting, and AI-assisted querying. Fast, simple, and confusion-free, it helps you write and share queries effortlessly within your organization.

`Official Website <https://www.sqlexplorer.io/>`_
* `Live Demo <https://demo.sqlexplorer.io/>`_
* `Documentation <https://django-sql-explorer.readthedocs.io/en/latest/>`_
  • mediumtopics#2
    Add more specific topics

    Why:

    CURRENT
    ai, analytics, django-application, reporting, sql
    COPY-PASTE FIX
    ai, analytics, django-application, reporting, sql, sql-editor, web-based, data-reporting, business-intelligence
  • lowlicense#3
    Clarify license information in README

    Why:

    COPY-PASTE FIX
    SQL Explorer is released under [Specify License Name(s) here, e.g., the MIT License and Apache 2.0 License]. See the LICENSE file for full details.

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 explorerhq/sql-explorer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
metabase/metabase
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. metabase/metabase · recommended 2×
  2. Looker Studio · recommended 1×
  3. Tableau · recommended 1×
  4. Power BI · recommended 1×
  5. getredash/redash · recommended 1×
  • CATEGORY QUERY
    How can I easily create and share SQL-based reports within my organization?
    you: not recommended
    AI recommended (in order):
    1. Metabase (metabase/metabase)
    2. Looker Studio
    3. Tableau
    4. Power BI
    5. Redash (getredash/redash)
    6. Apache Superset (apache/superset)

    AI recommended 6 alternatives but never named explorerhq/sql-explorer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a web-based SQL editor for analytics with AI assistance and simple reporting features.
    you: not recommended
    AI recommended (in order):
    1. DataGrip
    2. PopSQL
    3. Mode Analytics
    4. Deepnote
    5. SQLPad (rickbergfalk/sqlpad)
    6. CloudBeaver (dbeaver/cloudbeaver)
    7. Metabase (metabase/metabase)

    AI recommended 7 alternatives but never named explorerhq/sql-explorer. 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 explorerhq/sql-explorer?
    pass
    AI named explorerhq/sql-explorer explicitly

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

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

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

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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