RRepoGEO

REPOGEO REPORT · LITE

apache/hugegraph

Default branch master · commit e108076a · scanned 5/14/2026, 6:31:33 PM

GitHub: 3,095 stars · 607 forks

AI VISIBILITY SCORE
40 /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
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 apache/hugegraph, 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
    Populate the README's H1 with a clear project title and value proposition

    Why:

    CURRENT
    <h1 align="center">
    
</h1>
    COPY-PASTE FIX
    <h1 align="center">Apache HugeGraph: A Scalable Graph Database for Billions of Vertices & Edges</h1>
  • mediumabout#2
    Refine the GitHub repository description for clearer AI categorization

    Why:

    CURRENT
    A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
    COPY-PASTE FIX
    Apache HugeGraph is a highly scalable graph database for billions of vertices & edges, offering high-performance OLTP, Gremlin support, REST API, and a pluggable backend architecture.
  • lowreadme#3
    Add a 'Why Choose HugeGraph?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, '## Why Choose Apache HugeGraph?' or '## HugeGraph vs. Other Graph Databases', detailing its unique pluggable backend architecture and scalability advantages.

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 apache/hugegraph
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Amazon Neptune
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Amazon Neptune · recommended 1×
  2. DataStax Astra DB · recommended 1×
  3. DataStax Graph · recommended 1×
  4. JanusGraph · recommended 1×
  5. Apache Cassandra · recommended 1×
  • CATEGORY QUERY
    What graph database can handle billions of vertices and edges with high performance?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Seeking a scalable graph database for OLTP with Gremlin language support and REST API.
    you: not recommended
    AI recommended (in order):
    1. Amazon Neptune
    2. DataStax Astra DB
    3. DataStax Graph
    4. JanusGraph
    5. Apache Cassandra
    6. Apache HBase
    7. Neo4j
    8. Neo4j AuraDB
    9. Azure Cosmos DB

    AI recommended 9 alternatives but never named apache/hugegraph. 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 apache/hugegraph?
    pass
    AI named apache/hugegraph explicitly

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

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