RRepoGEO

REPOGEO REPORT · LITE

ontola/atomic-server

Default branch develop · commit fe4e8494 · scanned 5/19/2026, 12:07:46 PM

GitHub: 1,545 stars · 71 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
33 /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
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 ontola/atomic-server, 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's opening to emphasize core product identity

    Why:

    CURRENT
    Create, share, fetch and model Atomic Data! AtomicServer is a lightweight, yet powerful CMS / Graph Database.
    COPY-PASTE FIX
    AtomicServer is an open-source headless CMS and real-time graph database, designed for creating, sharing, fetching, and modeling Atomic Data. It offers a powerful table editor, full-text search, and SDKs for JS / React / Svelte.
  • mediumtopics#2
    Add more specific topics for better categorization

    Why:

    CURRENT
    actix, atomic-data, cli, database, library, linked-data, rdf, rust, server, sled
    COPY-PASTE FIX
    actix, atomic-data, cli, database, library, linked-data, rdf, rust, server, sled, headless-cms, graph-database, realtime-database, semantic-web
  • lowcomparison#3
    Add a comparison section to highlight differentiators

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why AtomicServer?' or 'Comparison with Alternatives' that clearly states how AtomicServer's adherence to the Atomic Data specification provides a simpler, more opinionated, and integrated approach compared to other headless CMS or graph databases like Strapi, Directus, or SurrealDB.

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 ontola/atomic-server
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Strapi
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Strapi · recommended 1×
  2. Directus · recommended 1×
  3. Supabase · recommended 1×
  4. Appwrite · recommended 1×
  5. Payload CMS · recommended 1×
  • CATEGORY QUERY
    What are good open source headless CMS options with real-time database capabilities?
    you: not recommended
    AI recommended (in order):
    1. Strapi
    2. Directus
    3. Supabase
    4. Appwrite
    5. Payload CMS

    AI recommended 5 alternatives but never named ontola/atomic-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight Rust-powered graph database for building custom data models.
    you: not recommended
    AI recommended (in order):
    1. GraphBLAS (rust-graphtools/grb)
    2. Neo4j (neo4j/neo4j)
    3. SurrealDB (surrealdb/surrealdb)
    4. TinkerPop (apache/tinkerpop)
    5. sled (spacejam/sled)

    AI recommended 5 alternatives but never named ontola/atomic-server. 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 ontola/atomic-server?
    pass
    AI did not name ontola/atomic-server — 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 ontola/atomic-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ontola/atomic-server 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 ontola/atomic-server solve, and who is the primary audience?
    pass
    AI named ontola/atomic-server explicitly

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

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