RRepoGEO

REPOGEO REPORT · LITE

Open-Source-Legal/cite

Default branch main · commit de50c721 · scanned 5/29/2026, 8:17:13 AM

GitHub: 1,339 stars · 154 forks

AI VISIBILITY SCORE
33 /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
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 Open-Source-Legal/cite, 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
    Clarify README's first paragraph to broaden scope beyond legal citations

    Why:

    CURRENT
    The citation layer for agentic workflows. Every document cites other documents. _cite_ turns a repository of those documents into an open citation graph that humans and AI agents can read, reason over, and contribute back to. It is the codebase formerly released as **OpenContracts**, rebranded for v3 as part of opensource.legal.
    COPY-PASTE FIX
    The citation layer for agentic workflows. **cite provides version control for knowledge, building an open citation graph for any domain, not just legal or academic content.** Every document cites other documents. _cite_ turns a repository of those documents into an open citation graph that humans and AI agents can read, reason over, and contribute back to. It is the codebase formerly released as **OpenContracts**, rebranded for v3 as part of opensource.legal.
  • mediumtopics#2
    Add specific topics for knowledge graphs and verifiable AI

    Why:

    CURRENT
    agent, agentic-ai, ai, ai-agents, etl, etl-pipeline, llm, prompt-engineering, unstructured-data, vector-database
    COPY-PASTE FIX
    agent, agentic-ai, ai, ai-agents, etl, etl-pipeline, llm, prompt-engineering, unstructured-data, vector-database, knowledge-graph, citation-graph, version-control-for-knowledge, verifiable-ai, ai-knowledge-base
  • lowcomparison#3
    Add a comparison section to differentiate from generic tools

    Why:

    COPY-PASTE FIX
    ## Comparison

cite is not a general-purpose version control system like Git or DVC; it specifically versions *knowledge* and *citations* within documents. Unlike academic citation managers such as Zotero or Obsidian, cite focuses on creating a machine-readable, verifiable citation graph for AI agent workflows across any domain, rather than just formatting academic references.

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 Open-Source-Legal/cite
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Git
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Git · recommended 1×
  2. iterative/dvc · recommended 1×
  3. git-lfs/git-lfs · recommended 1×
  4. Confluence · recommended 1×
  5. Scroll Versions · recommended 1×
  • CATEGORY QUERY
    How can I build a reliable knowledge base with version control for AI agent workflows?
    you: not recommended
    AI recommended (in order):
    1. Git
    2. DVC (iterative/dvc)
    3. Git LFS (git-lfs/git-lfs)
    4. Confluence
    5. Scroll Versions
    6. Sphinx (sphinx-doc/sphinx)
    7. MkDocs (mkdocs/mkdocs)
    8. Notion
    9. Zendesk Guide
    10. ServiceNow Knowledge Management
    11. Pinecone
    12. Weaviate (weaviate/weaviate)
    13. Chroma (chroma-core/chroma)
    14. Qdrant (qdrant/qdrant)

    AI recommended 14 alternatives but never named Open-Source-Legal/cite. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to manage citations and create a verifiable knowledge graph for LLM outputs?
    you: not recommended
    AI recommended (in order):
    1. Zotero
    2. Zotero Connector
    3. Zotero Graph View plugin
    4. Obsidian
    5. Zotero Integration plugin
    6. Dataview plugin
    7. Logseq
    8. Semantic Scholar
    9. ResearchRabbit
    10. Scite.ai
    11. Neo4j
    12. Apache Jena

    AI recommended 12 alternatives but never named Open-Source-Legal/cite. 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 Open-Source-Legal/cite?
    pass
    AI did not name Open-Source-Legal/cite — 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 Open-Source-Legal/cite in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Open-Source-Legal/cite 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 Open-Source-Legal/cite solve, and who is the primary audience?
    pass
    AI named Open-Source-Legal/cite explicitly

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

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Open-Source-Legal/cite — 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