RRepoGEO

REPOGEO REPORT · LITE

uber-archive/plato-research-dialogue-system

Default branch master · commit 1db30be3 · scanned 6/8/2026, 11:33:14 AM

GitHub: 981 stars · 186 forks

AI VISIBILITY SCORE
22 /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
1 / 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 uber-archive/plato-research-dialogue-system, 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 the README's opening paragraph to emphasize core value

    Why:

    CURRENT
    The Plato Research Dialogue System is a flexible framework that can be used to create, train, and evaluate conversational AI agents in various environments.
    COPY-PASTE FIX
    The Plato Research Dialogue System is a flexible research platform for creating, training, and evaluating advanced conversational AI agents. It uniquely supports multi-agent interactions and various modalities (speech, text, dialogue acts), making it ideal for experimental work in dialogue systems.
  • mediumreadme#2
    Add a dedicated 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Features
*   **Flexible Framework:** Create, train, and evaluate conversational AI agents in various environments.
*   **Multi-Agent Support:** Interact with data, human users, or other conversational agents.
*   **Multi-Modal Interactions:** Supports speech, text, or dialogue acts.
*   **Modular Design:** Components can be trained independently online or offline.
*   **Model Agnostic:** Easily wrap around virtually any existing model.
  • lowreadme#3
    Add a 'Getting Started' or 'Installation' section to the README

    Why:

    COPY-PASTE FIX
    ## Getting Started
Plato RDS is provided as a Python package. Install it via pip:
```bash
pip install plato-research-dialogue-system
```
Refer to the `tutorials` directory for examples on creating and training 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 uber-archive/plato-research-dialogue-system
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RasaHQ/rasa
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RasaHQ/rasa · recommended 2×
  2. deepmipt/DeepPavlov · recommended 2×
  3. facebookresearch/ParlAI · recommended 2×
  4. deepset-ai/haystack · recommended 2×
  5. LAION-AI/Open-Assistant · recommended 1×
  • CATEGORY QUERY
    What are good open-source frameworks for developing custom conversational AI agents?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source (RasaHQ/rasa)
    2. DeepPavlov (deepmipt/DeepPavlov)
    3. Open Assistant (LAION-AI/Open-Assistant)
    4. ParlAI (facebookresearch/ParlAI)
    5. Haystack (deepset-ai/haystack)
    6. Botpress (botpress/botpress)

    AI recommended 6 alternatives but never named uber-archive/plato-research-dialogue-system. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I build and train advanced dialogue systems supporting multi-agent interactions?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source (RasaHQ/rasa)
    2. DeepPavlov (deepmipt/DeepPavlov)
    3. ParlAI (facebookresearch/ParlAI)
    4. Haystack (deepset-ai/haystack)
    5. LangChain (langchain-ai/langchain)
    6. Microsoft Bot Framework (microsoft/botframework-sdk)
    7. OpenAI API

    AI recommended 7 alternatives but never named uber-archive/plato-research-dialogue-system. 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 uber-archive/plato-research-dialogue-system?
    pass
    AI did not name uber-archive/plato-research-dialogue-system — 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 uber-archive/plato-research-dialogue-system in production, what risks or prerequisites should they evaluate first?
    pass
    AI named uber-archive/plato-research-dialogue-system 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 uber-archive/plato-research-dialogue-system solve, and who is the primary audience?
    pass
    AI did not name uber-archive/plato-research-dialogue-system — 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 uber-archive/plato-research-dialogue-system. 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/uber-archive/plato-research-dialogue-system.svg)](https://repogeo.com/en/r/uber-archive/plato-research-dialogue-system)
HTML
<a href="https://repogeo.com/en/r/uber-archive/plato-research-dialogue-system"><img src="https://repogeo.com/badge/uber-archive/plato-research-dialogue-system.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

uber-archive/plato-research-dialogue-system — 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