RRepoGEO

REPOGEO REPORT · LITE

paulpierre/RasaGPT

Default branch main · commit 2f105103 · scanned 5/10/2026, 12:32:58 AM

GitHub: 2,465 stars · 254 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 paulpierre/RasaGPT, 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 'platform'

    Why:

    CURRENT
    💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. It is boilerplate and a reference implementation of Rasa and Telegram utilizing an LLM library like Langchain for indexing, retrieval and context injection.
    COPY-PASTE FIX
    💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain, offering a complete, ready-to-deploy solution for conversational AI. It integrates Rasa's robust dialogue management with Langchain's LLM capabilities for advanced indexing, retrieval, and context injection.
  • mediumtopics#2
    Add more specific 'platform' and 'framework' related topics

    Why:

    CURRENT
    ai, chatbot, chatgpt, fastapi, gpt-3, gpt-4, langchain, llama-index, llm, ml, openai, rasa, rasa-chatbot, rasa-core, rasa-nlu, telegram, telegram-bot
    COPY-PASTE FIX
    ai, chatbot, chatgpt, fastapi, gpt-3, gpt-4, langchain, llama-index, llm, ml, openai, rasa, rasa-chatbot, rasa-core, rasa-nlu, telegram, telegram-bot, conversational-ai-platform, llm-platform, ai-assistant-framework, headless-ai
  • lowreadme#3
    Reframe the 'Why RasaGPT?' section to highlight platform benefits

    Why:

    CURRENT
    RasaGPT works out of the box. A lot of the implementing headaches were sorted out so you don’t have to, including:
    COPY-PASTE FIX
    RasaGPT provides a production-ready, integrated platform that eliminates common development hurdles, allowing you to focus on your bot's intelligence. Key benefits include:

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 paulpierre/RasaGPT
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. OpenAI API · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. chroma-core/chroma · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to build a custom LLM chatbot with document context and conversational AI?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. OpenAI API
    3. Hugging Face Transformers (huggingface/transformers)
    4. Chroma (chroma-core/chroma)
    5. Pinecone
    6. Weaviate (weaviate/weaviate)
    7. Faiss (facebookresearch/faiss)
    8. Annoy (spotify/annoy)
    9. Streamlit (streamlit/streamlit)
    10. Gradio (gradio-app/gradio)
    11. NLTK (nltk/nltk)
    12. spaCy (explosion/spaCy)

    AI recommended 12 alternatives but never named paulpierre/RasaGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python framework to create a headless AI assistant for messaging apps.
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. Haystack
    3. LangChain
    4. FastAPI
    5. spaCy
    6. NLTK
    7. Flask
    8. Django

    AI recommended 8 alternatives but never named paulpierre/RasaGPT. 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 paulpierre/RasaGPT?
    pass
    AI named paulpierre/RasaGPT explicitly

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

  • If a team adopts paulpierre/RasaGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named paulpierre/RasaGPT 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 paulpierre/RasaGPT solve, and who is the primary audience?
    pass
    AI named paulpierre/RasaGPT 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 paulpierre/RasaGPT. 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/paulpierre/RasaGPT.svg)](https://repogeo.com/en/r/paulpierre/RasaGPT)
HTML
<a href="https://repogeo.com/en/r/paulpierre/RasaGPT"><img src="https://repogeo.com/badge/paulpierre/RasaGPT.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

paulpierre/RasaGPT — 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