RRepoGEO

REPOGEO REPORT · LITE

sirixdb/sirix

Default branch main · commit c4d93d66 · scanned 6/4/2026, 1:21:47 AM

GitHub: 1,186 stars · 247 forks

AI VISIBILITY SCORE
20 /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
0 / 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 sirixdb/sirix, 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
    Add a concise, direct positioning statement to the README's introduction

    Why:

    CURRENT
    The README currently jumps from the H1/H3 directly into 'The Problem' section.
    COPY-PASTE FIX
    SirixDB is an embeddable, bitemporal, append-only database system and event store, designed for immutable lightweight snapshots and efficient temporal queries. It allows you to query any revision as fast as the latest, providing full history with space-efficient structural sharing.
  • mediumtopics#2
    Add more specific topics to reinforce its database and bitemporal nature

    Why:

    CURRENT
    comparison, coroutines, diff, diff-algorithm, diffing, hacktoberfest, hashing, java, json, jsoniq, keycloak, kotlin, snapshot, ssd, storage, temporal-data, versioning, vertx, xml, xquery
    COPY-PASTE FIX
    database, document-database, bitemporal, event-store, temporal-database, immutable-data, version-control-system
  • lowabout#3
    Optimize the repository description for clarity and keyword density

    Why:

    CURRENT
    SirixDB is an an embeddable, bitemporal, append-only database system and event store, storing immutable lightweight snapshots. It keeps the full history of each resource. Every commit stores a space-efficient snapshot through structural sharing. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach.
    COPY-PASTE FIX
    SirixDB is an embeddable, bitemporal, append-only database system and event store. It stores immutable lightweight snapshots, keeping the full history of each resource with space-efficient structural sharing. This log-structured database never overwrites data, utilizing a novel page-level versioning approach for efficient temporal queries.

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 sirixdb/sirix
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Datomic
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Datomic · recommended 1×
  2. PostgreSQL · recommended 1×
  3. pg_temporal · recommended 1×
  4. EventStoreDB · recommended 1×
  5. Apache Kafka · recommended 1×
  • CATEGORY QUERY
    How to store immutable data history with efficient versioning and temporal queries?
    you: not recommended
    AI recommended (in order):
    1. Datomic
    2. PostgreSQL
    3. pg_temporal
    4. EventStoreDB
    5. Apache Kafka
    6. KSQL DB
    7. Apache Flink
    8. Spark Streaming
    9. ClickHouse
    10. MongoDB

    AI recommended 10 alternatives but never named sirixdb/sirix. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good embeddable bitemporal databases for Java with document versioning?
    you: not recommended
    AI recommended (in order):
    1. Crux
    2. XTDB
    3. JGit
    4. OrientDB
    5. H2 Database
    6. Apache Cassandra

    AI recommended 6 alternatives but never named sirixdb/sirix. 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 sirixdb/sirix?
    pass
    AI did not name sirixdb/sirix — 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 sirixdb/sirix in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name sirixdb/sirix — 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?

  • In one sentence, what problem does the repo sirixdb/sirix solve, and who is the primary audience?
    pass
    AI did not name sirixdb/sirix — 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?

Embed your GEO score

Drop this badge into the README of sirixdb/sirix. 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)
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite