RRepoGEO

REPOGEO REPORT · LITE

Open-Source-Legal/OpenContracts

Default branch main · commit e7c52447 · scanned 5/24/2026, 4:51:57 AM

GitHub: 1,332 stars · 152 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 Open-Source-Legal/OpenContracts, 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 README H1 and opening paragraph to clarify domain and purpose

    Why:

    CURRENT
    # OpenContracts (Demo)

The open source platform for building knowledge bases that humans and AI agents can work with together.
    COPY-PASTE FIX
    # OpenContracts (Demo)

The open source platform for building *specialized* knowledge bases from *unstructured documents* (e.g., contracts, legal texts) that humans and AI agents can work with together. OpenContracts provides self-hosted document annotation, version control, and semantic search capabilities for complex textual data.
  • mediumtopics#2
    Add more specific topics

    Why:

    CURRENT
    agent, agentic-ai, etl, etl-pipeline, llm, prompt-engineering, unstructured-data, vector-database
    COPY-PASTE FIX
    agent, agentic-ai, etl, etl-pipeline, llm, prompt-engineering, unstructured-data, vector-database, document-annotation, document-version-control, semantic-search, knowledge-base
  • mediumreadme#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Unlike general-purpose knowledge bases (e.g., Confluence) or foundational AI services (e.g., Azure OpenAI, GPT-4), OpenContracts is specifically designed for self-hosted document annotation, version control, and semantic search of complex unstructured documents. While tools like DVC or Elasticsearch offer parts of this functionality, OpenContracts integrates these capabilities into a single platform tailored for collaborative knowledge base construction with AI agents.

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/OpenContracts
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Confluence
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Confluence · recommended 1×
  2. AI for Confluence · recommended 1×
  3. Confluence AI Assistant · recommended 1×
  4. Azure OpenAI Service · recommended 1×
  5. GPT-4 · recommended 1×
  • CATEGORY QUERY
    How to build a collaborative knowledge base for unstructured documents using AI agents?
    you: not recommended
    AI recommended (in order):
    1. Confluence
    2. AI for Confluence
    3. Confluence AI Assistant
    4. Azure OpenAI Service
    5. GPT-4
    6. Claude 3 Opus
    7. LlamaIndex (run-llama/llama_index)
    8. LangChain (langchain-ai/langchain)
    9. Notion AI
    10. Notion API
    11. Pinecone
    12. Weaviate (weaviate/weaviate)
    13. DocsGPT (arc53/DocsGPT)
    14. PrivateGPT (imartinez/privateGPT)
    15. Elasticsearch (elastic/elasticsearch)
    16. OpenSearch (opensearch-project/OpenSearch)
    17. Hugging Face Transformers (huggingface/transformers)
    18. Sentence Transformers (UKPLab/sentence-transformers)
    19. Llama 2
    20. Mistral
    21. Zendesk Guide
    22. Answer Bot
    23. Content Cues
    24. Google Cloud Vertex AI
    25. Amazon Bedrock
    26. SharePoint Online
    27. Microsoft Syntex
    28. Microsoft Copilot
    29. Microsoft Graph API
    30. Azure AI Search

    AI recommended 30 alternatives but never named Open-Source-Legal/OpenContracts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Open source platform for ETL, semantic search, and version control of unstructured text data?
    you: not recommended
    AI recommended (in order):
    1. DVC
    2. Elasticsearch
    3. OpenSearch
    4. Apache NiFi
    5. Apache Airflow
    6. MLflow
    7. spaCy
    8. Sentence-Transformers
    9. LangChain
    10. LakeFS
    11. Apache Spark
    12. Weaviate
    13. Git
    14. PostgreSQL
    15. pgvector

    AI recommended 15 alternatives but never named Open-Source-Legal/OpenContracts. 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/OpenContracts?
    pass
    AI named Open-Source-Legal/OpenContracts explicitly

    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/OpenContracts in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Open-Source-Legal/OpenContracts 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/OpenContracts solve, and who is the primary audience?
    pass
    AI named Open-Source-Legal/OpenContracts explicitly

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

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MARKDOWN (README)
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Open-Source-Legal/OpenContracts — 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