ubibibferf – Text Share Online

You’re right to point that out. It’s a common frustration with GA4’s regex implementation. While the pipe | character is the correct “OR” operator, the way GA4 handles filters can make a simple regex string seem like it’s not working.

Here are the most likely reasons your regex filter isn’t working and how to fix them:

1. The “Matches regex” vs. “Partially matches regex” issue

This is the number one reason why simple regex fails in GA4 explorations.

Matches regex (the default and sometimes only option) requires the entire string to match the expression. Your regex chat|gpt|... will only work if the entire Session source is just “chat” or “gpt”, which it never is. It’s usually something like “chat.openai.com”.
Partially matches regex is what you actually want. This option allows you to match a substring within the larger string (e.g., “chat” within “chat.openai.com”).

The Fix: Look carefully at the filter options. If you don’t see “Partially matches regex” as a choice in the dropdown, you have to modify your regex to account for the rest of the string.

2. The Regex Syntax Fix for “Matches regex”

If you can’t select “Partially matches regex”, you need to use wildcards to make your regex work with the “Matches regex” option.

The correct regex to use for this scenario is:

Let’s break down why this works:

^ (caret): This is an “anchor” that means “start of the string.”
.* (dot and asterisk): This is a powerful wildcard.
- . (dot) matches any single character.
- * (asterisk) means “zero or more times.”
- Together, .* matches any sequence of characters of any length.
(...) (parentheses): This groups your “OR” conditions together.
$ (dollar sign): This is an “anchor” that means “end of the string.”

By using ^.*(...) and .*$, you are telling GA4: “Match a string that starts with any characters, contains one of the words in the parentheses, and ends with any characters.” This effectively replicates the “contains” or “partial match” logic you’re looking for.

3. Case Sensitivity

By default, GA4’s regex is case-sensitive. If a source is “Gemini” (with a capital G) instead of “gemini” (lowercase), your regex will miss it.

The Fix: You have a couple of options:

Make the regex case-insensitive: Add a special flag at the beginning of your expression: (?i). The full expression would be (?i)^.*(chat|gpt|gemini|bard|perplexity|grok|claude).*$
List both cases: Update your regex to include both lower and uppercase variants: (chat|Chat|gpt|GPT|gemini|Gemini|...etc)

Summary of Solutions:

First, check your filter options. If “Partially matches regex” is available, use that with the simpler regex: chat|gpt|gemini|bard|perplexity|grok|claude
If you must use “Matches regex,” use the more robust, wildcarded version: ^.*(chat|gpt|gemini|bard|perplexity|grok|claude).*$
For comprehensive results, make sure to account for case sensitivity by either using the (?i) flag or listing both cases.

list down all ai chatbots curruntly

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The landscape of AI chatbots is constantly evolving, with new models and platforms emerging regularly. Here is a list of some of the most prominent AI chatbots currently available, categorized by their primary use cases.

General Purpose & Conversational AI

These are the most well-known chatbots, designed for a wide range of tasks from answering questions and writing to coding and creative brainstorming.

ChatGPT: Developed by OpenAI, it is the most famous and widely used AI chatbot. It’s known for its conversational abilities and is powered by models like GPT-4o.
Gemini: Google’s powerful AI model, formerly known as Google Bard. It is integrated with Google’s ecosystem (Gmail, Docs, etc.) and is a strong competitor to ChatGPT.
Microsoft Copilot: This AI assistant is integrated into the Microsoft 365 suite and the Edge browser. It’s built on OpenAI’s models and is excellent for productivity within the Microsoft ecosystem.
Claude: Developed by Anthropic, Claude is known for its focus on safety and ethical AI. It excels at long-form writing, complex reasoning, and data analysis.
Perplexity AI: This chatbot is focused on providing accurate, citable answers by citing its sources directly from the web, making it ideal for research.
Grok: An AI chatbot from xAI, Grok is designed to be witty and has real-time access to information from the X (formerly Twitter) platform.
Meta AI: Integrated across Meta’s apps like Instagram, WhatsApp, and Facebook, Meta AI uses the Llama AI model to answer questions and generate images.

Specialized & Niche Chatbots

These chatbots are designed for more specific purposes, from professional use to personal development.

Jasper: A popular AI assistant for content creators, marketers, and businesses. It specializes in generating blog posts, marketing copy, and social media content.
Pi, a personal AI: Developed by Inflection AI, Pi is designed to be a supportive, conversational, and personal AI companion.
GitHub Copilot: A coding assistant that helps developers write code more efficiently by providing suggestions and completing code snippets.
HuggingChat: An open-source chatbot from Hugging Face, valued by developers and researchers for its customizable and transparent nature.
Character.ai: A platform that allows users to create and chat with AI characters, each with a unique personality and backstory.
You.com: An AI assistant that also functions as a search engine, providing concise, sourced answers alongside traditional search results.

Business & Enterprise Platforms

These are platforms that help businesses build their own AI chatbots for customer service, sales, and internal operations.

Drift: A conversational AI platform focused on sales and marketing, designed to automate lead nurturing and customer engagement.
Intercom: A conversational platform with an AI chatbot called “Fin” that automates support processes and improves customer experience.
IBM Watsonx Assistant: An enterprise-grade platform for building AI-powered customer service chatbots.
Yellow.ai: A platform that uses multiple LLMs to create versatile, multilingual chatbots for business communication.