RRepoGEO

REPOGEO REPORT · LITE

maxandrews/Epstein-doc-explorer

Default branch main · commit 641440f4 · scanned 6/10/2026, 4:43:30 AM

GitHub: 588 stars · 110 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
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 maxandrews/Epstein-doc-explorer, 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
  • hightopics#1
    Add specific topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    epstein, legal-tech, document-analysis, knowledge-graph, ai-powered, network-visualization, claude-ai, react, typescript
  • highreadme#2
    Reposition the README's opening paragraph to clarify specific application and audience

    Why:

    CURRENT
    An intelligent document analysis and network visualization system that processes legal documents to extract relationships, entities, and events, then visualizes them as an interactive knowledge graph.
    COPY-PASTE FIX
    An intelligent document analysis and network visualization system specifically designed to help journalists, researchers, and the public navigate and explore the vast corpus of Jeffrey Epstein court documents, extracting relationships, entities, and events, and visualizing them as an interactive knowledge graph.
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Unlike generic NLP libraries (e.g., SpaCy, Hugging Face Transformers) or graph databases (e.g., Neo4j), Epstein Document Network Explorer is a complete, AI-powered application specifically tailored for interactive exploration of the Jeffrey Epstein document corpus. While tools like Streamlit or Dash can build interactive UIs, this project provides a pre-built, domain-specific solution with integrated AI extraction and visualization, rather than a framework for building one.

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 maxandrews/Epstein-doc-explorer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenNMT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenNMT · recommended 2×
  2. Hugging Face Transformers · recommended 2×
  3. SpaCy · recommended 1×
  4. Neo4j · recommended 1×
  5. Streamlit · recommended 1×
  • CATEGORY QUERY
    How to build an interactive knowledge graph from unstructured legal documents?
    you: not recommended
    AI recommended (in order):
    1. SpaCy
    2. Neo4j
    3. Streamlit
    4. Dash
    5. Google Cloud Knowledge Graph API
    6. Amazon Neptune
    7. Azure Cosmos DB (Graph API)
    8. React
    9. Angular
    10. Vue.js
    11. D3.js
    12. vis.js
    13. Haystack
    14. GraphDB (Ontotext)
    15. Graph Explorer
    16. Graph-Vis
    17. OpenNMT
    18. Hugging Face Transformers

    AI recommended 18 alternatives but never named maxandrews/Epstein-doc-explorer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for AI-powered entity and relationship extraction from text with graph visualization?
    you: not recommended
    AI recommended (in order):
    1. Graphistry
    2. Neo4j Bloom
    3. Neo4j Graph Data Science Library (GDS)
    4. spaCy
    5. NetworkX
    6. Plotly/Dash
    7. OpenNMT
    8. Hugging Face Transformers
    9. Graphviz
    10. Gephi
    11. IBM Watson Discovery
    12. Google Cloud Natural Language AI
    13. Looker Studio

    AI recommended 13 alternatives but never named maxandrews/Epstein-doc-explorer. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 maxandrews/Epstein-doc-explorer?
    pass
    AI did not name maxandrews/Epstein-doc-explorer — 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 maxandrews/Epstein-doc-explorer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named maxandrews/Epstein-doc-explorer 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 maxandrews/Epstein-doc-explorer solve, and who is the primary audience?
    pass
    AI named maxandrews/Epstein-doc-explorer explicitly

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

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maxandrews/Epstein-doc-explorer — 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