RRepoGEO

REPOGEO REPORT · LITE

apache/hugegraph

Default branch master · commit 86e0a66f · scanned 6/25/2026, 8:11:44 AM

GitHub: 3,122 stars · 615 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 H1 with a clear, keyword-rich statement

    Why:

    CURRENT
    <h1 align="center"></h1>
    COPY-PASTE FIX
    <h1 align="center">Apache HugeGraph: A Scalable Graph Database for Billions of Vertices & Edges with High Performance OLTP</h1>
  • mediumtopics#2
    Add more specific topics related to scale and performance

    Why:

    CURRENT
    big-data, database, graph, graph-database, graphdb, gremlin
    COPY-PASTE FIX
    big-data, database, graph, graph-database, graphdb, gremlin, oltp, scalable-graph-database, distributed-graph-database, high-performance-graph
  • lowreadme#3
    Strengthen the opening sentence of 'What is Apache HugeGraph?'

    Why:

    CURRENT
    HugeGraph is a fast and highly-scalable graph database.
    COPY-PASTE FIX
    Apache HugeGraph is a fast and highly-scalable graph database designed to manage and query billions of vertices and edges with excellent OLTP capabilities.

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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Amazon Neptune · recommended 2×
  2. Neo4j · recommended 1×
  3. TigerGraph · recommended 1×
  4. JanusGraph · recommended 1×
  5. ArangoDB · recommended 1×
  • CATEGORY QUERY
    What graph database can handle billions of vertices and edges with high performance?
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. Amazon Neptune
    3. TigerGraph
    4. JanusGraph
    5. ArangoDB

    AI recommended 5 alternatives but never named apache/hugegraph. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which scalable graph database offers OLTP capabilities and Gremlin language support?
    you: not recommended
    AI recommended (in order):
    1. Amazon Neptune
    2. JanusGraph (JanusGraph/janusgraph)
    3. DataStax Enterprise (DSE) Graph
    4. Azure Cosmos DB (Gremlin API)
    5. Neo4j (with Causal Clustering) (neo4j/neo4j)

    AI recommended 5 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite