What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of improving how your brand is retrieved, cited, and recommended inside AI-generated answers on platforms like ChatGPT, Google Gemini, Perplexity, and Mistral. While SEO focuses on ranking web pages in Google results, GEO takes over where SEO stops, helping you track visibility in AI search, analyze how large language models interpret your content, and measure which actions improve your presence across AI platforms. As more users rely on AI chatbots and assistants to make decisions, appearing in these AI-generated answers is becoming essential for brand discovery. If AI systems don’t mention or cite your brand, you’re invisible to a growing share of your audience. Superlines is purpose-built for GEO, giving companies actionable data and real-time insights to increase visibility and trust in AI search.

Why is AI Search visibility important?

AI assistants like ChatGPT, Google AI Mode, Perplexity, and Mistral are now where customers start their discovery process. When people ask these platforms for recommendations, the brands that appear first in AI-generated answers gain trust, visibility, and awareness earlier in the buying journey. If AI systems consistently recommend your competitors instead of you, your brand quietly loses relevance and market share, even before customers visit a search results page.

What is Superlines and how does it work?

Superlines is an intelligent GEO platform that works like an advanced AI Search Console, built to help brands measure and grow their visibility across AI platforms such as ChatGPT, Mistral, Google AI Mode, and Perplexity. It continuously tracks where your brand appears in AI-generated answers, analyzes what content earns citations, and shows what actions improve your visibility. All data is structured, transparent, and easy to act on, allowing marketing teams to prioritize the right optimizations and see measurable results.

Which AI platforms does Superlines monitor?

We track the real front-end experiences users see when using platforms like ChatGPT, Perplexity, Microsoft Copilot, Google AI Overviews, Google AI Mode, Google Gemini, DeepSeek, Claude, Mistral, and Grok. Instead of relying on API calls, we capture the exact outputs shown on these sites, exactly as a user would see them. This approach gives you accurate, source-level data directly from the live platforms.

Can I track competitors?

Yes. Superlines gives you a detailed view of how your competitors perform across AI search. You can see which brands are cited most often, what type of content earns them visibility, and how their share of voice changes over time across platforms like ChatGPT, Perplexity, and Google AI Mode. Superlines also highlights new market entrants and rising competitors, helping you identify opportunities to outperform them through better optimization, content structure, and topical authority.

How does Superlines differ from other GEO or SEO tools?

Many tools on the market are lightweight self-service solutions that lack transparency in how they collect data and only display raw metrics without clear direction for action. Traditional SEO platforms like Ahrefs and Semrush remain focused on legacy search as their core business, offering AI Search analytics merely as surface-level add-ons. Superlines combines enterprise-grade analytics with a structured, actionable process that delivers accurate data and fast results. It offers the analytical depth of complex enterprise tools like Profound without the heavy technical setup, making it far more usable and accessible. Superlines is purpose-built for AI Search.

How soon can we see results after starting with Superlines?

Most teams identify their first improvement opportunities during onboarding and can measure visibility changes within days. Because Superlines reduces time from data to action, you can start improving and tracking results immediately, rather than waiting for long optimization cycles.

How can I get started with Superlines?

Request access to Superlines for a personalized demo and get started with a 7-day free trial. We’ll walk you through the setup so you can begin measuring and improving your AI Search visibility from day one.

How to track traffic from major AI chat engines in Google Analytics 4 (GA4)

‍

To create a segment in Google Analytics 4 (GA4) that tracks traffic from major AI chat engines like ChatGPT, Perplexity, Claude, Gemini, Bard, Co-Pilot, and Mistral, follow these steps:

‍

Step 1: Identify AI Chat Traffic Sources

Most AI chat engines do not explicitly pass referral information, but some may have identifiable referral domains or UTM parameters. Below are some potential sources:

*chatgpt.com.*|.*perplexity.*|.*edgepilot.*|.*edgeservices.*|.*copilot.microsoft.com.*|.*openai.com.*|.*gemini.google.com.*|.*superlines.io.*|.*platform.superlines.io.*|.*nimble.ai.*|.*iask.ai.*|.*claude.ai.*|.*aitastic.app.*|.*bnngpt.com.*|.*writesonic.com.*|.*copy.ai.*|.*chat-gpt.org.*

‍

Step 2: Create a New Segment in GA4

1. Go to GA4 Admin Panel and clicks Segments on the Data display menu.

2. Click + New segment.

3. Choose User Segment or Session Segment (session is better if tracking single visits).

4. Add condition: Session Source, Matches regex

5. Add this value:

*chatgpt.com.*|.*perplexity.*|.*edgepilot.*|.*edgeservices.*|.*copilot.microsoft.com.*|.*openai.com.*|.*gemini.google.com.*|.*superlines.io.*|.*platform.superlines.io.*|.*nimble.ai.*|.*iask.ai.*|.*claude.ai.*|.*aitastic.app.*|.*bnngpt.com.*|.*writesonic.com.*|.*copy.ai.*|.*chat-gpt.org.*

Click Save to property and your segment is ready to be used in reports created with the Explore-tool.

‍

Step 3: Filter AI Chat Traffic in Reports

1. Go to Reports → Traffic Acquisition.

2. Click Add Filter → Select Session Source, Matches regex

3. Add this value:

*chatgpt.com.*|.*perplexity.*|.*edgepilot.*|.*edgeservices.*|.*copilot.microsoft.com.*|.*openai.com.*|.*gemini.google.com.*|.*superlines.io.*|.*platform.superlines.io.*|.*nimble.ai.*|.*iask.ai.*|.*claude.ai.*|.*aitastic.app.*|.*bnngpt.com.*|.*writesonic.com.*|.*copy.ai.*|.*chat-gpt.org.*

4. Click Apply.

Now you can see the referral traffic session trend.

‍

Step 4: (Optional) Use UTM Tracking

Since AI chat engines may strip referrer data, consider using UTM parameters for better tracking:

• Example UTM URL:

https://yourwebsite.com/?utm_source=ai&utm_medium=chat&utm_campaign=ai_search

• This helps segment AI chat traffic that might not show up in GA4 natively.

‍

Bonus: Automate in GA4 with Audiences

1. Go to Admin → Audiences → Create Audience.

2. Use session source contains the AI chat referrers.

3. Save it and use it in Reports / Ads / Experiments.

This method will help track AI-generated traffic and analyze its impact.

‍

If you’re integrating AI search traffic tracking into Superlines, consider creating a dashboard with these segments to analyze engagement.

‍

Start tracking your brand share of voice in AI search

Remember, the traffic you receive from AI chats is just the tip of the iceberg and most likely comes from the AI chat’s internal search tool. This is an excellent referral source for marketers and strongly correlates with your existing SEO efforts and performance. However, the real opportunity for marketers lies in teaching language models how to reference your brand, product, or service in actual chat responses. To start tracking your brand’s visibility across relevant prompt queries, use Superlines’ “Generative Search Monitor” and ensure your content is optimized for the AI search era.

How to Use GIFs in Marketing | Forge and Smith

‍

Track traffic from major AI chat engines in Google Analytics 4 (GA4)

Summary

Key take aways:

How to track traffic from major AI chat engines in Google Analytics 4 (GA4)

Step 1: Identify AI Chat Traffic Sources

Step 2: Create a New Segment in GA4

Step 3: Filter AI Chat Traffic in Reports

Step 4: (Optional) Use UTM Tracking

Bonus: Automate in GA4 with Audiences

Start tracking your brand share of voice in AI search

Questions & Answers

Related reading on AI Search Optimization

Related reading on AI Search Optimization

How to Monitor Mistral Search Visibility and Track Brand Performance

Why Tracking Your Brand’s AI Chat Visibility Is Important

Why AI Search share of voice is your new #1 marketing KPI