REPOGEO REPORT · LITE

ahmadfaizalbh/Chatbot

Default branch master · commit 6e78f7c0 · scanned 6/11/2026, 11:27:07 PM

GitHub: 867 stars · 354 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 ahmadfaizalbh/Chatbot, 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's opening to highlight generative AI and local deployment

Why:

CURRENT

# ChatBotAI
Python chatbot AI that helps in creating a python based chatbot with
minimal coding. This provides both bots AI and chat handler and also
allows easy integration of REST API's and python function calls which
makes it unique and more powerful in functionality. This AI provides
numerous features like learn, memory, conditional switch, topic-based
conversation handling, etc.

COPY-PASTE FIX

**ChatBotAI: A Python framework for building powerful, locally-deployed generative AI chatbots with Ollama.**
This library simplifies creating Python-based chatbots, offering state-of-the-art AI responses via Ollama (Llama 3.2 and other local LLMs) without complex training. It provides both AI and chat handling, supports easy integration of REST APIs and Python function calls for dynamic conversational capabilities, and includes features like learn, memory, conditional switching, and topic-based conversation handling.

mediumtopics#2

Add specific topics for generative AI and local LLMs

Why:

CURRENT

ai-engine, bots, chatbot, chatbotai, chatbots, python, python-chatbot

COPY-PASTE FIX

ai-engine, bots, chatbot, chatbotai, chatbots, python, python-chatbot, generative-ai, llm, ollama, local-llm, conversational-ai, function-calling

mediumabout#3

Update repository description for clarity

Why:

CURRENT

Python ChatBot 💬

COPY-PASTE FIX

A Python framework for building powerful, locally-deployed generative AI chatbots with Ollama and custom function calls.

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 ahmadfaizalbh/Chatbot

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Rasa Open Source

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Rasa Open Source · recommended 1×
Haystack · recommended 1×
Hugging Face Transformers · recommended 1×
Gradio · recommended 1×
Streamlit · recommended 1×

CATEGORY QUERY
How to build a Python chatbot with AI capabilities for local deployment?
you: not recommended
AI recommended (in order):
1. Rasa Open Source
2. Haystack
3. Hugging Face Transformers
4. Gradio
5. Streamlit
6. NLTK
7. spaCy
8. LangChain
9. Llama.cpp
10. Ollama
AI recommended 10 alternatives but never named ahmadfaizalbh/Chatbot. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are simple Python libraries for creating conversational AI with custom function calls?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. OpenAI Python Library (openai/openai-python)
3. Haystack (deepset-ai/haystack)
4. LlamaIndex (run-llama/llama_index)
5. Transformers (huggingface/transformers)
AI recommended 5 alternatives but never named ahmadfaizalbh/Chatbot. 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 ahmadfaizalbh/Chatbot?
pass
AI named ahmadfaizalbh/Chatbot explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts ahmadfaizalbh/Chatbot in production, what risks or prerequisites should they evaluate first?
pass
AI named ahmadfaizalbh/Chatbot 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 ahmadfaizalbh/Chatbot solve, and who is the primary audience?
pass
AI named ahmadfaizalbh/Chatbot 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 ahmadfaizalbh/Chatbot. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/ahmadfaizalbh/Chatbot.svg)](https://repogeo.com/en/r/ahmadfaizalbh/Chatbot)

HTML

<a href="https://repogeo.com/en/r/ahmadfaizalbh/Chatbot"><img src="https://repogeo.com/badge/ahmadfaizalbh/Chatbot.svg" alt="RepoGEO" /></a>

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ahmadfaizalbh/Chatbot — 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