RRepoGEO

REPOGEO REPORT · LITE

TheAtticusProject/cuad

Default branch main · commit 67faa0e6 · scanned 6/3/2026, 4:42:34 PM

GitHub: 509 stars · 155 forks

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 TheAtticusProject/cuad, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., Apache-2.0, MIT) that best reflects the project's intent.
  • highabout#2
    Expand the repository's 'About' description

    Why:

    CURRENT
    CUAD (NeurIPS 2021)
    COPY-PASTE FIX
    CUAD: An expert-annotated NLP dataset for legal contract review, published at NeurIPS 2021, designed for training and evaluating models in legal information extraction.
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    bert, legal-nlp
    COPY-PASTE FIX
    bert, legal-nlp, nlp-dataset, contract-review, information-extraction, question-answering, expert-annotation, neurips-2021

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 TheAtticusProject/cuad
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ThoughtTrace
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ThoughtTrace · recommended 1×
  2. Kira Systems · recommended 1×
  3. ContractPodAi · recommended 1×
  4. Luminance · recommended 1×
  5. eBrevia · recommended 1×
  • CATEGORY QUERY
    What are the best NLP tools for automating legal contract review and analysis?
    you: not recommended
    AI recommended (in order):
    1. ThoughtTrace
    2. Kira Systems
    3. ContractPodAi
    4. Luminance
    5. eBrevia
    6. OpenText Legal Tech
    7. DocuSign CLM

    AI recommended 7 alternatives but never named TheAtticusProject/cuad. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find expert-annotated NLP datasets for legal information extraction tasks?
    you: not recommended
    AI recommended (in order):
    1. LexisNexis Legal AI Datasets
    2. CaseHOLD
    3. COLIEE
    4. LDC (Linguistic Data Consortium) Legal Datasets
    5. Harvard Law School Library Innovation Lab (LIL) Datasets
    6. Caselaw Access Project
    7. JURIX
    8. ICAIL
    9. LREC
    10. ACL workshops on legal NLP
    11. Hugging Face Datasets Hub

    AI recommended 11 alternatives but never named TheAtticusProject/cuad. 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 TheAtticusProject/cuad?
    pass
    AI named TheAtticusProject/cuad explicitly

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

  • If a team adopts TheAtticusProject/cuad in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TheAtticusProject/cuad 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 TheAtticusProject/cuad solve, and who is the primary audience?
    pass
    AI did not name TheAtticusProject/cuad — 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?

Embed your GEO score

Drop this badge into the README of TheAtticusProject/cuad. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/TheAtticusProject/cuad.svg)](https://repogeo.com/en/r/TheAtticusProject/cuad)
HTML
<a href="https://repogeo.com/en/r/TheAtticusProject/cuad"><img src="https://repogeo.com/badge/TheAtticusProject/cuad.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

TheAtticusProject/cuad — 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