The appearance of Google AI Overviews and Bing Generative Search frequently appearing as part of routine internet usage.
Additional prompts to use AI tools such as virtual try-ons.
Phone manufacturers promoting AI-driven features such as Gemini and Circle Search as product unique selling points (USPs).
Apple’s integration of Intelligence.
Spotify’s AI DJ.
Meta AI’s integration into their suite of products.
These non-invasive touchpoints will, over time, soften attitudes towards AI and build trust, leading to increased adoption elsewhere.
This means that we need to understand where our users spend their time, and the potential exposure to passive AI interactions.
To do this, we need to understand which channels have higher than average term usage, and this helps us identify which platforms our audience over-indexes on.
For example, the topic of “eyeliner” over-indexes on Facebook and Instagram and under-indexes on Reddit and LinkedIn, which is the same channel indexing patterns as “Adidas Samba”.
Understanding which channels your audience is actively engaging with also aids buy-in from other internal marketers and agencies handling the non-SEO channels, and reaches closer to a collaborative integrated communications strategy.
This is a great opportunity to get buy-in from other marketing stakeholders, but if your success metrics are bound to metrics such as directly attributable organic traffic – this is a threat.
Adapting To AI-Origin Users
AI introduces opportunities, but also raises the bar for channel performance.
As mentioned earlier in the article, this means a better understanding of your product and which channels are the right fit, in addition to visibility in organic search.
One way we can do this, in addition to data from third-party tools, is to utilize the Kano Model. The Kano model is a framework traditionally used to categorize and prioritize customer needs and can be effectively applied to assess and enhance product-channel fit in marketing.
For marketing product-channel fit, think of the channel (e.g., email, social media, SEO, paid ads) as a “feature” and map how well it satisfies user expectations.
To adapt and reach our target audiences as they adopt AI tools, or AI product features in existing tools, we as marketers need to:
Shift from Broad Channels to Intent-Driven Channels: Focus on channels that align with customer intent, as AI improves its ability to match consumer needs in real-time.
Embrace AI-Native Platforms: Platforms like ChatGPT or AI-powered discovery engines require new strategies for delivering benefit-focused, concise, and conversational content.
Monitoring AI Traffic
Another key part of communicating your exposure to LLMs and AI chatbots is the accurate tracking of AI traffic to your website.
This also informs your marketing strategies and adaptation to cater to shifting user behaviors within your target audience.
Traffic from LLMs can be easily monitored through Google Analytics 4 Explore reports, or through Google Looker Studio.
The method for segmenting data depends on the objective, who needs data access, and to what depth.
Tracking LLM traffic via Looker Studio. Image from author, December 2024
GA4 Explore Reports are effective for routine updates, such as monthly reporting, and provide clients with direct access to data through their Google Analytics accounts.
Looker Studio offers two distinct approaches. The first focuses on detailed, client-specific reports that track granular data, such as landing pages and events triggered by LLM traffic, tailored to individual needs.
The second is a quick overview dashboard, which is less customized but allows easy navigation through GA4 accounts, making it useful for ad hoc analysis and monitoring.
Marketers Must Adapt And Align
AI is transforming marketing, offering new opportunities and challenges across all marketing channels. To adapt, marketers must align strategies with evolving user behaviors and clearly communicate AI’s impact on traffic, conversions, and audience engagement to the C-suite and wider business stakeholders.
By focusing on clear communication, measurement and simple visualizations, and strategic adaptation of AI technologies into existing processes, brands can successfully navigate and take advantage of opportunities presented by AI while transforming and future-proofing the marketing function.
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Featured Image: wenich_mit/Shutterstock