RRepoGEO

REPOGEO REPORT · LITE

digoal/blog

Default branch master · commit 2cf0a5b8 · scanned 5/23/2026, 6:52:14 AM

GitHub: 8,493 stars · 1,916 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 digoal/blog, 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
    Clarify README's opening statement to position as a database learning resource

    Why:

    CURRENT
    The README currently starts with '#### [About me](me/readme.md)' after any badges/images.
    COPY-PASTE FIX
    This repository serves as Digoal's comprehensive technical blog and learning resource, offering in-depth tutorials, best practices, and insights primarily focused on PostgreSQL, Greenplum, and other open-source relational databases. It's designed for DBAs, developers, and architects seeking practical knowledge and migration strategies.
    
    #### [About me](me/readme.md)
  • mediumabout#2
    Expand the repository description to clearly state its nature as a blog/learning resource

    Why:

    CURRENT
    Opensource,Database,AI,Business,Minds. git clone --depth 1 https://github.com/digoal/blog
    COPY-PASTE FIX
    Digoal's comprehensive technical blog and learning resource, offering in-depth tutorials, best practices, and insights primarily focused on PostgreSQL, Greenplum, and other open-source relational databases. Ideal for DBAs, developers, and architects.
  • lowtopics#3
    Add topics that describe the content type (e.g., tutorials, blog)

    Why:

    CURRENT
    database, enterprisedb, gpdb, greenplum, hawq, mongodb, mysql, oracle, pg, pgsql, postgres, postgresql
    COPY-PASTE FIX
    database, enterprisedb, gpdb, greenplum, hawq, mongodb, mysql, oracle, pg, pgsql, postgres, postgresql, tutorials, best-practices, learning-resource, blog

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 digoal/blog
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PostgreSQL
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PostgreSQL · recommended 2×
  2. MySQL · recommended 2×
  3. MariaDB · recommended 2×
  4. Percona · recommended 1×
  5. sqlalchemy/sqlalchemy · recommended 1×
  • CATEGORY QUERY
    Looking for in-depth tutorials and best practices for open-source relational database management.
    you: not recommended
    AI recommended (in order):
    1. PostgreSQL
    2. MySQL
    3. MariaDB
    4. Percona
    5. SQLAlchemy (sqlalchemy/sqlalchemy)
    6. DB-Engines
    7. SQL Antipatterns

    AI recommended 7 alternatives but never named digoal/blog. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to effectively migrate existing applications from commercial databases to open alternatives?
    you: not recommended
    AI recommended (in order):
    1. PostgreSQL
    2. MySQL
    3. MariaDB
    4. CockroachDB
    5. YugabyteDB
    6. AWS Schema Conversion Tool (SCT)
    7. Oracle SQL Developer Migration Workbench
    8. pgloader (dimitri/pgloader)
    9. AWS Database Migration Service (DMS)
    10. Striim
    11. Debezium (debezium/debezium)
    12. pg_dump/pg_restore
    13. mysqldump/mysql
    14. Apache NiFi (apache/nifi)
    15. Talend Open Studio
    16. Prometheus (prometheus/prometheus)
    17. Grafana (grafana/grafana)

    AI recommended 17 alternatives but never named digoal/blog. 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 digoal/blog?
    pass
    AI named digoal/blog explicitly

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

  • If a team adopts digoal/blog in production, what risks or prerequisites should they evaluate first?
    pass
    AI named digoal/blog 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 digoal/blog solve, and who is the primary audience?
    pass
    AI named digoal/blog 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 digoal/blog. 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)
[![RepoGEO](https://repogeo.com/badge/digoal/blog.svg)](https://repogeo.com/en/r/digoal/blog)
HTML
<a href="https://repogeo.com/en/r/digoal/blog"><img src="https://repogeo.com/badge/digoal/blog.svg" alt="RepoGEO" /></a>
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digoal/blog — 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