RRepoGEO

REPOGEO REPORT · LITE

OpenSPG/openspg

Default branch master · commit ceeb3ef5 · scanned 5/28/2026, 3:02:11 PM

GitHub: 2,119 stars · 252 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 OpenSPG/openspg, 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 the README's opening paragraph to highlight core differentiators

    Why:

    CURRENT
    OpenSPG is a knowledge graph engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework, which is a summary of Ant Group's years of experience in constructing and applying diverse domain knowledge graphs in the financial scenarios.
    COPY-PASTE FIX
    OpenSPG is the leading open-source knowledge graph engine designed for building and managing large-scale, semantic-enhanced programmable graphs (SPG). Developed by Ant Group, it uniquely integrates facts and logic, offering robust capabilities for knowledge-augmented generation (KAG) and bidirectional LLM-KG enhancement, particularly optimized for complex financial scenarios.
  • mediumtopics#2
    Expand topics with broader, related industry terms

    Why:

    CURRENT
    kag, knowledge-augmented-generation, knowledge-graph, knowledge-reasoning, llm-kg-bidirectional-enhancement, spg
    COPY-PASTE FIX
    kag, knowledge-augmented-generation, knowledge-graph, knowledge-reasoning, llm-kg-bidirectional-enhancement, spg, financial-technology, graph-database, ai-platform, knowledge-management, large-language-models
  • lowabout#3
    Explicitly mention LLM integration in the description

    Why:

    CURRENT
    OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) natively support KAG...
    COPY-PASTE FIX
    OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) natively support Knowledge-Augmented Generation (KAG) and robust LLM integration for advanced AI applications.

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 OpenSPG/openspg
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neo4j
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Neo4j · recommended 2×
  2. Stardog · recommended 1×
  3. GraphDB Free · recommended 1×
  4. Apache Jena · recommended 1×
  5. AllegroGraph Free Edition · recommended 1×
  • CATEGORY QUERY
    What open-source knowledge graph engine provides semantic-enhanced programmable graph capabilities for financial data?
    you: not recommended
    AI recommended (in order):
    1. Stardog
    2. GraphDB Free
    3. Apache Jena
    4. Neo4j
    5. AllegroGraph Free Edition
    6. Blazegraph

    AI recommended 6 alternatives but never named OpenSPG/openspg. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust framework for building and managing large-scale knowledge graphs with LLM integration.
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. Neo4j AuraDB
    3. Neo4j Graph Data Science (GDS) Library
    4. TypeDB
    5. Amazon Neptune
    6. Ontotext GraphDB
    7. ArangoDB
    8. DGL (Deep Graph Library)
    9. PyG (PyTorch Geometric)

    AI recommended 9 alternatives but never named OpenSPG/openspg. 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 OpenSPG/openspg?
    pass
    AI named OpenSPG/openspg explicitly

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

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