RRepoGEO

REPOGEO REPORT · LITE

budzianowski/multiwoz

Default branch master · commit fe0c8e65 · scanned 6/13/2026, 7:02:58 AM

GitHub: 950 stars · 206 forks

AI VISIBILITY SCORE
35 /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
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 budzianowski/multiwoz, 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
  • highabout#1
    Clarify repo identity in About section and topics

    Why:

    CURRENT
    Description: Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Topics: dialogue, dialogue-library, dialogue-manager, dialogue-systems, dialogues, machine-learning, natural-language-processing, seq2seq
    COPY-PASTE FIX
    Description: The MultiWOZ dataset and associated research code for end-to-end dialogue models (Budzianowski et al. 2018, EMNLP).
Topics: multiwoz, dialogue-dataset, conversational-ai-research, dialogue-state-tracking, natural-language-generation, machine-learning, natural-language-processing, seq2seq
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    [URL to the MultiWOZ project page or relevant publication]
  • lowreadme#3
    Add a 'Who is this for?' section to the README

    Why:

    COPY-PASTE FIX
    ## Who is this for?
This repository is primarily intended for NLP researchers and conversational AI developers working on task-oriented dialogue systems, particularly those using or evaluating models against the MultiWOZ dataset.

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 budzianowski/multiwoz
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rasa Open Source
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Rasa Open Source · recommended 1×
  2. DeepPavlov · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. ParlAI · recommended 1×
  5. Microsoft Bot Framework Composer · recommended 1×
  • CATEGORY QUERY
    What machine learning libraries are suitable for building multi-domain dialogue systems?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. DeepPavlov
    3. Hugging Face Transformers
    4. ParlAI
    5. Microsoft Bot Framework Composer
    6. spaCy
    7. NLTK

    AI recommended 7 alternatives but never named budzianowski/multiwoz. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I develop an end-to-end conversational AI model for complex interactions?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source (RasaHQ/rasa)
    2. Google Dialogflow CX
    3. Microsoft Bot Framework Composer (microsoft/BotFramework-Composer)
    4. Azure Bot Service
    5. Azure Cognitive Services
    6. LUIS
    7. Amazon Lex (V2)
    8. Lambda
    9. OpenAI GPT-3.5
    10. GPT-4
    11. LangChain (langchain-ai/langchain)
    12. Llama 2 (meta-llama/llama-2)

    AI recommended 12 alternatives but never named budzianowski/multiwoz. 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 budzianowski/multiwoz?
    pass
    AI named budzianowski/multiwoz explicitly

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

  • If a team adopts budzianowski/multiwoz in production, what risks or prerequisites should they evaluate first?
    pass
    AI named budzianowski/multiwoz 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 budzianowski/multiwoz solve, and who is the primary audience?
    pass
    AI named budzianowski/multiwoz explicitly

    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 budzianowski/multiwoz. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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budzianowski/multiwoz — 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