RRepoGEO

REPOGEO REPORT · LITE

ChristopherLyon/graphrag-workbench

Default branch main · commit cd19ce55 · scanned 6/10/2026, 9:37:41 AM

GitHub: 617 stars · 82 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
27 /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
1 / 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 ChristopherLyon/graphrag-workbench, 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 H1 and opening sentence to emphasize its dedicated UI role for GraphRAG

    Why:

    CURRENT
    # GraphRAG Workbench

A modern, interactive web application for building and visualizing knowledge graphs using Microsoft's GraphRAG framework.
    COPY-PASTE FIX
    # GraphRAG Workbench: Interactive UI for Microsoft GraphRAG

GraphRAG Workbench is a modern, interactive web application designed as a dedicated user interface for building, exploring, and visualizing knowledge graphs generated by Microsoft's GraphRAG framework.
  • mediumtopics#2
    Add more specific topics to improve category visibility for AI analysis and knowledge graph tools

    Why:

    CURRENT
    graphrag, microsoft, nextjs, visualization
    COPY-PASTE FIX
    graphrag, microsoft, nextjs, visualization, knowledge-graph, ai-analysis, rag, workbench, data-visualization
  • lowfaq#3
    Add an FAQ entry to differentiate from generic 3D engines and knowledge graph databases

    Why:

    COPY-PASTE FIX
    ## ❓ FAQ

**Is GraphRAG Workbench a general-purpose 3D visualization library or knowledge graph database?**
No, GraphRAG Workbench is specifically designed as a dedicated user interface for visualizing and interacting with knowledge graphs *generated by Microsoft's GraphRAG framework*. It is not a standalone 3D engine like Three.js or Unity, nor is it a knowledge graph database like Neo4j. Its core focus is on providing an immersive exploration experience for GraphRAG outputs.

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 ChristopherLyon/graphrag-workbench
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unity3D
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Unity3D · recommended 1×
  2. Unreal Engine · recommended 1×
  3. aframevr/aframe · recommended 1×
  4. mrdoob/three.js · recommended 1×
  5. Graphistry · recommended 1×
  • CATEGORY QUERY
    How can I visualize complex knowledge graph data interactively in a 3D environment?
    you: not recommended
    AI recommended (in order):
    1. Unity3D
    2. Unreal Engine
    3. A-Frame (aframevr/aframe)
    4. Three.js (mrdoob/three.js)
    5. Graphistry
    6. Blender

    AI recommended 6 alternatives but never named ChristopherLyon/graphrag-workbench. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build and explore knowledge graphs from documents with AI analysis?
    you: not recommended
    AI recommended (in order):
    1. GraphRAG
    2. Neo4j
    3. LangChain
    4. LlamaIndex
    5. Ontotext GraphDB
    6. Stardog
    7. Kensho Scribe
    8. Amazon Neptune
    9. Azure Cosmos DB
    10. spaCy
    11. NLTK
    12. Hugging Face Transformers
    13. OpenAI GPT-4
    14. Anthropic Claude
    15. Haystack
    16. Google Cloud Knowledge Graph
    17. Google Cloud AI Platform
    18. Natural Language API
    19. NetworkX
    20. OrientDB
    21. PyOrient
    22. DGL

    AI recommended 22 alternatives but never named ChristopherLyon/graphrag-workbench. 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 ChristopherLyon/graphrag-workbench?
    pass
    AI did not name ChristopherLyon/graphrag-workbench — 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 ChristopherLyon/graphrag-workbench in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ChristopherLyon/graphrag-workbench 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 ChristopherLyon/graphrag-workbench solve, and who is the primary audience?
    pass
    AI did not name ChristopherLyon/graphrag-workbench — 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?

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ChristopherLyon/graphrag-workbench — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite