RRepoGEO

REPOGEO REPORT · LITE

timescale/pg-aiguide

Default branch main · commit c61d613e · scanned 5/29/2026, 10:12:34 AM

GitHub: 1,749 stars · 92 forks

AI VISIBILITY SCORE
35 /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
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 timescale/pg-aiguide, 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 H1 to clarify tool type

    Why:

    CURRENT
    # pg-aiguide AI-optimized PostgreSQL expertise for coding assistants
    COPY-PASTE FIX
    # pg-aiguide: A Plugin & Server for AI-Optimized PostgreSQL Code Generation
  • mediumtopics#2
    Refine repository topics to remove ambiguity

    Why:

    CURRENT
    ai, ai-agents, ai-coding, claude-code-plugin, claude-code-plugins, claude-code-plugins-marketplace, claude-marketplace, claude-plugin, claude-skills, docs, documentation, mcp, mcp-server, postgres, postgresql, skills
    COPY-PASTE FIX
    ai, ai-agents, ai-coding, claude-code-plugin, claude-code-plugins, claude-code-plugins-marketplace, claude-marketplace, claude-plugin, claude-skills, mcp, mcp-server, postgres, postgresql, skills
  • lowcomparison#3
    Add a brief comparison section to the README

    Why:

    COPY-PASTE FIX
    ## How pg-aiguide Compares to Other Tools
    
    Unlike general-purpose LLMs (e.g., GPT-4, Claude 3 Opus), pg-aiguide is a specialized plugin that *enhances* their PostgreSQL code generation capabilities, rather than being an LLM itself.
    
    Unlike traditional SQL linters or optimizers (e.g., EverSQL, SQLFlow), pg-aiguide focuses on *proactive code generation* by providing AI agents with best practices and version-aware documentation, preventing common errors before they occur.
    
    Unlike static documentation (e.g., PostgreSQL Documentation), pg-aiguide actively *integrates* this knowledge into AI coding workflows, making it actionable and context-aware.

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 timescale/pg-aiguide
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 1×
  2. Claude 3 Opus · recommended 1×
  3. EverSQL · recommended 1×
  4. SQLFlow · recommended 1×
  5. DataChat · recommended 1×
  • CATEGORY QUERY
    How can I improve AI assistant generated PostgreSQL code quality and accuracy?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. EverSQL
    4. SQLFlow
    5. DataChat
    6. pgTAP
    7. SQLUnit
    8. pgFormatter
    9. SQLFluff

    AI recommended 9 alternatives but never named timescale/pg-aiguide. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide AI coding agents with up-to-date database best practices?
    you: not recommended
    AI recommended (in order):
    1. SQLStyle.guide
    2. PostgreSQL Documentation
    3. MySQL Documentation
    4. Microsoft SQL Server Documentation
    5. DB-Engines Ranking & Blog
    6. Stack Overflow
    7. O'Reilly Books

    AI recommended 7 alternatives but never named timescale/pg-aiguide. 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 timescale/pg-aiguide?
    pass
    AI named timescale/pg-aiguide explicitly

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

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

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

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