RRepoGEO

REPOGEO REPORT · LITE

pawurb/rails-pg-extras

Default branch main · commit 4caf9499 · scanned 5/28/2026, 9:52:35 PM

GitHub: 1,235 stars · 39 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 pawurb/rails-pg-extras, 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 positioning against APM tools and pg_stat_statements

    Why:

    CURRENT
    Rails port of Heroku PG Extras with several additions and improvements. The goal of this project is to provide powerful insights into the PostgreSQL database for Ruby on Rails apps that are not using the Heroku PostgreSQL plugin.
    COPY-PASTE FIX
    Rails PG Extras provides a focused, lightweight set of Rake tasks and Ruby methods for deep PostgreSQL database performance insights, specifically tailored for Ruby on Rails applications. Unlike full APM solutions, it offers direct access to critical metrics like locks, index usage, buffer cache hit ratios, and vacuum stats, abstracting complex `pg_stat_statements` queries into an easy-to-use interface.
  • mediumtopics#2
    Add more specific topics for performance analysis and tooling

    Why:

    CURRENT
    activerecord, postgresql, rails
    COPY-PASTE FIX
    activerecord, postgresql, rails, performance-monitoring, database-diagnostics, pg-extras, database-performance
  • lowreadme#3
    Highlight LLM support in the README

    Why:

    CURRENT
    rails-pg-extras-mcp gem provides an MCP (Model Context Protocol) interface enabling PostgreSQL metadata and performance analysis with an LLM support.
    COPY-PASTE FIX
    A key differentiator: `rails-pg-extras-mcp` gem extends this tool with an MCP (Model Context Protocol) interface, enabling PostgreSQL metadata and performance analysis with direct LLM support.

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 pawurb/rails-pg-extras
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
New Relic APM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. New Relic APM · recommended 2×
  2. Datadog APM · recommended 2×
  3. AppSignal · recommended 2×
  4. Scout APM · recommended 2×
  5. pg_stat_statements · recommended 2×
  • CATEGORY QUERY
    How can I monitor PostgreSQL performance and identify bottlenecks in my Rails application?
    you: not recommended
    AI recommended (in order):
    1. New Relic APM
    2. Datadog APM
    3. AppSignal
    4. PgHero (ankane/pghero)
    5. Scout APM
    6. pg_stat_statements
    7. Prometheus (prometheus/prometheus)
    8. pg_exporter (prometheus-community/postgres_exporter)
    9. Grafana (grafana/grafana)

    AI recommended 9 alternatives but never named pawurb/rails-pg-extras. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help analyze PostgreSQL index usage and cache hit ratios for Ruby applications?
    you: not recommended
    AI recommended (in order):
    1. pg_stat_statements
    2. New Relic APM
    3. Datadog APM
    4. AppSignal
    5. Scout APM
    6. EXPLAIN ANALYZE
    7. pg_activity (dalibo/pg_activity)

    AI recommended 7 alternatives but never named pawurb/rails-pg-extras. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 pawurb/rails-pg-extras?
    pass
    AI did not name pawurb/rails-pg-extras — likely talking about a different project

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

  • If a team adopts pawurb/rails-pg-extras in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pawurb/rails-pg-extras 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 pawurb/rails-pg-extras solve, and who is the primary audience?
    pass
    AI named pawurb/rails-pg-extras 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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MARKDOWN (README)
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