AI assistants are becoming a new discovery layer on the internet. Instead of traditional search engines alone, users are increasingly relying on conversational tools like ChatGPT, Gemini, Microsoft Copilot, Claude, and Perplexity to find answers, recommendations, and product information.
For advertisers and marketers, this shift introduces a new traffic source that often goes unnoticed in analytics reports. If you are not tracking AI-generated visits separately, you may be missing valuable insights about how users are discovering your brand.
Google Analytics 4 (GA4) allows advertisers to track such visits by creating custom channel groups specifically designed to capture traffic originating from AI assistants. This article explains how advertisers can implement this setup and why doing so is becoming increasingly important
Why AI Assistant Traffic Matters for Advertisers
AI assistants act as information intermediaries between users and websites. When users ask questions, these tools often recommend websites, cite sources, or provide links.
From a marketing perspective, this creates several new opportunities:
1. Emerging Referral Channel
AI assistants are evolving into a new referral channel, similar to search engines or social media platforms.
2. Influence on Consumer Research
Consumers are using AI tools to:
- Research products
- Compare services
- Discover brands
- Read summaries before visiting websites
3. Early Signal of AI Visibility
Tracking traffic from AI assistants helps advertisers understand:
- Whether their content is appearing in AI-generated responses
- Which assistants are driving visits
- How users behave after arriving from AI tools
Without dedicated tracking, these visits may simply appear as referral traffic or direct traffic, making them difficult to analyse.
Understanding Custom Channel Groups in GA4
A channel group in GA4 is a collection of rule-based categories that classify website traffic sources. Google Analytics includes a Default Channel Group, which categorises traffic into channels like:
- Organic Search
- Direct
- Paid Search
- Social
- Referral
However, advertisers can create custom channel groups to better reflect modern marketing ecosystems.
Benefits of Custom Channel Groups
Custom channel groups allow advertisers to:
- Create new traffic categories
- Analyse traffic with greater granularity
- Apply custom groupings to reports
- Use channel group data in audiences and explorations
Most importantly, custom channel groups can also be applied retroactively to historical data.
Creating a Dedicated “AI Assistants” Channel in GA4
To track traffic from AI chatbots, advertisers can create a new channel within a custom channel group.
Below is a simplified implementation process.
Step 1: Create or Edit a Custom Channel Group
In GA4:
- Go to Admin
- Navigate to Data Display
- Select Channel Groups
You can either:
- Create a new custom channel group, or
- Edit an existing custom group.
If creating a new group, GA4 will generate it as a copy of the default channel group, which you can then modify.
Step 2: Add a New Channel for AI Assistants
Create a new channel and name it something descriptive, such as:
- AI Assistants
- AI Chatbots
This channel will contain rules that identify traffic coming from popular AI platforms.
Step 3: Configure Channel Conditions Using Regex
Add a new condition and select:
- Matches Regex
Then input a regex expression that captures known AI assistant domains.
Example regex:
^.*ai|.*\.openai.*|.*chatgpt.*|.*gemini.*|.*gpt.*|.*copilot.*|.*perplexity.*|.*google.*bard.*|.*bard.*google.*|.*bard.*|.*.*gemini.*google.*$
This expression helps identify visits originating from:
- ChatGPT
- Gemini
- Microsoft Copilot
- Claude
- Perplexity
Once configured, save the channel.
Important Note for Advertisers
AI tools evolve quickly, and new assistants appear frequently.
This means advertisers should regularly update their regex expression to include:
- New AI platforms
- Updated domain structures
- Emerging conversational search tools
Keeping the regex updated ensures the accuracy of AI traffic reporting.
How to Analyse AI Assistant Traffic in GA4
Once your custom channel is configured, you can analyse the data in standard GA4 reports.
Navigate to:
- Reports → Acquisition → User Acquisition
or
- Reports → Acquisition → Traffic Acquisition
Then select your custom channel group as either:
- The primary dimension, or
- The secondary dimension
If traffic matches your defined rules, you will see a row labelled AI Assistants, along with its associated metrics.
Advertisers can then analyse:
- Sessions
- Users
- Engagement rate
- Conversion rate
- Revenue (for e-commerce)
What Advertisers Should Look for in AI Traffic
Tracking AI assistant traffic opens the door to several strategic insights.
1. Which AI Tools Drive Traffic
Identify whether traffic is coming primarily from:
- ChatGPT
- Gemini
- Perplexity
- Copilot
This helps marketers understand where their content is being surfaced.
2. Content Discovery Patterns
Analyse which pages attract AI-driven visitors, such as:
- Guides
- Product pages
- Blog articles
- FAQ pages
These pages are often the ones AI tools reference or recommend.
3. Conversion Behaviour
Compare AI traffic to other channels to understand:
- Purchase behaviour
- Engagement depth
- Session duration
- Bounce rates
This helps determine whether AI-driven visitors are high-intent users.
Best Practices When Creating Custom Channel Groups
While custom channel groups are powerful, they should be implemented carefully.
Follow These Best Practices:
Keep rules clear and focused
- Avoid overly complex condition groups.
Limit unnecessary fields
- Large numbers of fields can negatively impact reporting performance.
Review channel order
- Traffic is assigned to the first channel whose rules match.
Audit regex expressions regularly
- Update them as new AI tools emerge.
Platform Limits to Consider
GA4 properties have limits on channel groups and channels.
Standard Properties
- Up to 2 custom channel groups
- 50 channels per group
GA4 360 Properties
- Up to 5 custom channel groups
- 50 channels per group
Advertisers should plan their channel structures accordingly.
Using AI Assistant Channels in Advanced Analysis
Custom channel groups are not limited to acquisition reports.
They can also be used in:
- Custom reports
- Explorations
- Audience creation
- Segmentation
- Campaign analysis
For example, advertisers could create an audience of:
- Users who arrived via AI Assistants and visited product pages
This audience could then be used for remarketing campaigns.
Limitations Advertisers Should Know
There are a few restrictions when working with custom channel groups.
Key Limitations
- Custom channel groups are not available in the BigQuery export schema
- They cannot be used in Key Event Path reports
- Deleting a channel group cannot be reversed
- Changes in audiences apply only going forward
Advertisers should carefully test configurations before deploying them widely.
The Bigger Shift: AI as a Traffic Channel
The rise of AI assistants signals a broader shift in how users discover websites.
In the past decade, advertisers optimised for:
- Search engines
- Social media
- Paid advertising
Now, AI platforms are becoming an additional discovery layer.
Tracking AI assistant traffic allows advertisers to:
- Understand how AI models surface their content
- Optimise pages for AI visibility
- Measure the true influence of conversational search
For forward-thinking marketers, monitoring this traffic today can provide an early advantage in a rapidly evolving digital ecosystem.
Need a fresh perspective? Let’s talk.
At 360 OM, we specialise in helping businesses take their marketing efforts to the next level. Our team stays on top of industry trends, uses data-informed decisions to maximise your ROI, and provides full transparency through comprehensive reports.
.png)
