RRepoGEO

REPOGEO REPORT · LITE

glommer/pgmicro

Default branch master · commit 3a97846f · scanned 6/21/2026, 11:13:06 AM

GitHub: 1,081 stars · 23 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
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 glommer/pgmicro, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify project identity in README's main heading.

    Why:

    CURRENT
    # pgmicro
    COPY-PASTE FIX
    # pgmicro: An In-Process PostgreSQL Database
  • mediumreadme#2
    Emphasize benefits for embeddable and ephemeral use cases.

    Why:

    CURRENT
    pgmicro does not translate PostgreSQL to SQLite syntax. It does not embed or compile PostgreSQL. Instead, it **parses the PostgreSQL language a**
    COPY-PASTE FIX
    This unique approach makes pgmicro ideal for lightweight, in-process, and serverless applications requiring full PostgreSQL compatibility for ephemeral or embedded data.

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 glommer/pgmicro
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
neondatabase/neon
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. neondatabase/neon · recommended 1×
  2. supabase/supabase · recommended 1×
  3. cockroachdb/cockroach · recommended 1×
  4. Amazon Aurora Serverless v2 (PostgreSQL compatible edition) · recommended 1×
  5. Google Cloud AlloyDB Omni (PostgreSQL compatible) · recommended 1×
  • CATEGORY QUERY
    How can I use PostgreSQL features in an embeddable, serverless database?
    you: not recommended
    AI recommended (in order):
    1. Neon (neondatabase/neon)
    2. Supabase (supabase/supabase)
    3. CockroachDB Serverless (cockroachdb/cockroach)
    4. Amazon Aurora Serverless v2 (PostgreSQL compatible edition)
    5. Google Cloud AlloyDB Omni (PostgreSQL compatible)
    6. PlanetScale (with Vitess)

    AI recommended 6 alternatives but never named glommer/pgmicro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight, in-process database for ephemeral data, with PostgreSQL compatibility.
    you: not recommended
    AI recommended (in order):
    1. H2 Database Engine (h2database/h2database)
    2. HSQLDB (hsqldb/hsqldb)
    3. SQLite (sqlite/sqlite)
    4. PostgreSQL
    5. Testcontainers (testcontainers/testcontainers-java)

    AI recommended 5 alternatives but never named glommer/pgmicro. 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 glommer/pgmicro?
    pass
    AI named glommer/pgmicro explicitly

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

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

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

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glommer/pgmicro — 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