Measurement depends on your specific KPIs, but we track several key metrics: brand mentions, citation share, and AI referral traffic (including subsequent engagement and conversions). We use this data to generate actionable insights, such as identifying where to increase brand authority to boost mentions, determining which content needs optimisation to secure citations, and analysing how AI perceives your brand. This allows us to pinpoint exactly which off-site sources we need to influence to shift that AI perception.

By using AI visibility tools like Profound or Peec AI, we track relevant prompts and topics against your key competitors. This gives us a clear picture of your 'Share of Model' and identifies who is winning the most visibility in specific categories. These benchmarks provide a roadmap, showing us exactly where the largest visibility gaps are and which topics offer the most opportunity for us to capture.

No, unfortunately not. But while we can't see private user prompts directly, we look at several correlated data sources to build a clear picture. We leverage traditional keyword research to find high-volume topics, analyse which queries trigger Google’s AI Overviews (AIOs) and 'People Also Ask' boxes, and use 'query fan-out' analysis within AI visibility tools. Additionally, mining third-party platforms like Reddit helps us understand the conversational language users use. Most importantly, we lean on your business expertise to define the specific problems your customers are trying to solve, then map out the prompts they likely use to find those solutions.

The launch of AI Overviews has certainly influenced organic traffic, and the use of AI platforms has shifted user behaviour. However, research shows that instead of replacing regular search, people are often using them simultaneously for different purposes. A user might perform the bulk of their research within an AI platform and then switch to Google for reassurance, brand validation, or navigation. While 'informational' traffic for simple queries may decrease, the traffic that does reach your site is often higher intent and further along the decision-making process. The impact of AI platforms on organic traffic varies significantly across different industries; therefore, it is essential to gain a deeper understanding of how this new channel specifically influences your business and customer journey.

Because a user might see a brand mention in an AI response but not click a link immediately, it can feel like a 'black box.' To measure value, we can track Branded Search Volume; as your AI visibility increases, we expect a correlated rise in users searching for your brand by name. Furthermore, by focusing AEO efforts on specific product categories or services, we can correlate visibility spikes with performance growth within other channels, such as Direct, essentially treating AI as a high-value top-of-funnel touchpoint.