RRepoGEO

REPOGEO REPORT · LITE

alfredfrancis/ai-chatbot-framework

Default branch master · commit 5f57f99a · scanned 5/23/2026, 2:57:05 PM

GitHub: 2,155 stars · 747 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 alfredfrancis/ai-chatbot-framework, 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 opening to emphasize "low-code platform"

    Why:

    CURRENT
    AI Chatbot Framework is an open-source, self-hosted, DIY Chatbot building platform built in Python. With this tool, it’s easy to create Natural Language conversational scenarios with no coding efforts whatsoever.
    COPY-PASTE FIX
    AI Chatbot Framework is an open-source, self-hosted, **low-code platform** for building AI-powered conversational agents in Python. It provides a complete, DIY solution to create Natural Language scenarios with minimal coding.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://your-project-homepage.com
  • lowreadme#3
    Add an explicit "Who is this for?" or "Problem Solved" section to README

    Why:

    COPY-PASTE FIX
    ## Who is this for?
    This platform is designed for developers and teams who want to build and deploy self-hosted, AI-powered chatbots with a low-code approach. It's for those seeking a complete solution for conversational AI without deep AI expertise.
    
    ## Problem Solved
    AI Chatbot Framework addresses the complexity of building custom AI chatbots by offering a unified, easy-to-use platform. It enables rapid development of intelligent conversational agents with NLU and tool-calling capabilities, reducing development time and effort.

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 alfredfrancis/ai-chatbot-framework
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. Botpress · recommended 1×
  3. Mindmeld · recommended 1×
  4. OpenDialog · recommended 1×
  5. Tock · recommended 1×
  • CATEGORY QUERY
    What are some self-hosted, low-code platforms for building AI-powered conversational agents?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. Botpress
    3. Mindmeld
    4. OpenDialog
    5. Tock

    AI recommended 5 alternatives but never named alfredfrancis/ai-chatbot-framework. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python framework to build custom AI chatbots with NLU and tool-calling capabilities.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Rasa
    5. OpenAI Python Library
    6. Guidance

    AI recommended 6 alternatives but never named alfredfrancis/ai-chatbot-framework. 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 alfredfrancis/ai-chatbot-framework?
    pass
    AI named alfredfrancis/ai-chatbot-framework explicitly

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

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

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alfredfrancis/ai-chatbot-framework — 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