The GEO Visibility of Favikon (Case Study)

Do companies get clicks via AI systems? And if so, through which specific strategies and measures? These questions are completely new territory.

A very interesting example has now been published on LinkedIn: The company Favikon receives over 30,000 visitors per quarter via AI systems such as ChatGPT.

The figures also provide deep insight into further unanswered questions regarding GEO or LLMO, i.e., the optimization of visibility in AI systems.

We discuss the figures in our podcast. The summary is available in this article – and the discussion with us on LinkedIn.

The Starting Point: this is the GEO or LLMO Example

Favikon is an influencer marketing platform from France. The platform allows users to find globally relevant influencers in their industry. This is important for collaborations and other marketing activities.

Ivan Palii is an expert in SEO and AI visibility. He has developed his own tool with SiteChecker and creates dashboards for companies. Favikon is a client. On LinkedIn, he published Favikon’s AI traffic figures in his dashboards (here is his LinkedIn post and here are his dashboards).

The example is interesting on several levels:

  • Genuine Insight: GEO or LLMO is a completely new field of work. There are few insights into truly effective strategies and approaches.
  • Relevant AI Clicks: The example proves that companies can receive relevant traffic via AI systems – provided they have developed the right GEO and content strategy for it.
  • From SEO to GEO: Favikon is already successful in SEO and social media. This contributes to GEO visibility, as we will describe below.
AI Traffic Share Charts

1. Key Insight: ChatGPT is the Absolute Leader

Favikon receives 31,500 clicks per quarter. Of these, 27,000 clicks are attributed to ChatGPT. This represents a market share of 87%. Perplexity follows with 2,200 clicks (7%). After that come Google Gemini and Microsoft Copilot with 600 clicks each (2%).

This means: ChatGPT is clearly the absolute number one among AI systems that generate clicks. Google is alarmingly far behind.

Furthermore: ChatGPT links to sources significantly less often. Many prompt responses are answered purely from the language model. While this has changed somewhat with the new ChatGPT 5, the data from the example comes from the previous quarter. Perplexity, by comparison, always displays sources. It is therefore much more likely that Perplexity users will also click on the sources, i.e., the websites.

This situation clearly shows that ChatGPT is the “new Google” in this new environment. Very similar market shares are confirmed by a number of experts here in Fabian Jaeckert’s LinkedIn post in the comments.

GEO LLMO Traffic Quellen Beispiel

2. Key Insight: GEO Successes are a Strong Competitive Advantage

In SEO, it is possible to conduct in-depth competitive analyses using tools. Every domain can be entered into an SEO suite like Sistrix, SEMrush, or Ahrefs and analyzed. One receives keywords, rankings, website structure, and traffic estimates – to name a few examples from the analysis.

However, this also meant: Successful SEO strategies were quickly recognized and adapted by competitors. Consequently, this often led to copycat approaches.

This was pushed to the extreme in the past three years, since content could be produced practically for free using ChatGPT as a tool (albeit without quality and USP, but that doesn’t matter to everyone).

Consequently, the top 10 results on Google became even more homogeneous. All top results had more or less the same content. Until Google introduced AI answers with AI Overviews – and traffic on numerous websites plummeted.

Such analysis possibilities are no longer available in the ChatGPT environment.

One cannot enter a domain into an AI Monitoring Tool and then obtain a website’s GEO visibility. This is because it is completely unknown what prompts users enter. There is no data on this – unlike with keywords.

Furthermore, websites are no longer the focus. Instead, there are AI answers where brands and sometimes sources are displayed. It is a completely different interface.

This means: Anyone who builds their own AI traffic through GEO and content strategies will fly completely “under the radar” of competitors. No one will see or recognize whether and how successful one is in AI systems.

Companies that are now working on their GEO strategy and implementing corresponding measures will build a strong moat. A clear competitive advantage.

3. Key Insight: Specific Content Strategies Lead to AI Clicks

The crucial question is: Which content from the Favikon website leads to AI clicks? If this is determined, the specific GEO content strategy can be derived from it.

We are currently conducting a series of GEO / LLMO audits and projects. The basis for this is always Brand Monitoring for AI Systems. In this context, Favikon has repeatedly stood out to us as a source. The website is heavily used in certain contexts.

We noticed that Favikon’s top lists are very often displayed as a source. The majority of AI traffic runs on these top lists. Ivan Palii, who published the figures, confirmed this to us. Favikon therefore has a top-list strategy. The top lists also rank very well on Google and regularly go viral on social media. It is therefore a content format that works on all levels. This is an approach that we also advocate in our consulting.

Further insight: Users clearly use ChatGPT for overviews, comparisons, and recommendations. Furthermore, they also clearly click heavily on corresponding sources that have their own content. This once again shows how important GEO visibility is in the customer journey.

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