Executive summary

The digital marketing landscape is undergoing significant shifts driven by the rapid evolution of artificial intelligence in search and content discovery. Regulatory bodies are demanding greater transparency, while consumer behaviour is changing how information is consumed. Brands must adapt their digital strategies, content creation, and measurement approaches to remain visible and competitive in this new environment.

Corporate strategy & commerce

Businesses are fundamentally re-evaluating their digital presence and content strategies in response to evolving AI-driven consumer information consumption and search behaviour. The Pew Research Center found that 60% of Americans are now consuming AI-generated summaries at the top of search results, fundamentally changing how consumers discover information and brands. This necessitates a strategic shift for websites, which now serve a dual purpose: engaging human visitors directly while also optimising for machine learning models that extract and summarise content, as highlighted by The Drum. For publishers, this means adapting traditional content models; USA Today is using AI-assisted pre-written content for events like the FIFA World Cup to capture early search traffic before AI Overviews summarise the news. This is a direct operational and content production strategy to maintain commercial advantage. Product offerings are also integrating AI directly into devices, such as the Google Home Speaker with Gemini, indicating a broader commercial push for AI-powered assistance in daily life. Businesses will invest more in understanding AI extraction mechanisms and adjusting content creation and optimisation processes to secure visibility and engagement in an AI-first discovery landscape.

Media, channels & market intelligence

The landscape for media consumption and brand visibility across digital channels is being profoundly reshaped by AI, leading to new strategies for audience engagement and performance measurement. Publishers are directly impacted by AI Overviews, with Digiday reporting that traditional SEO playbooks for major events like the World Cup are being rapidly adapted. Speed in publishing, as demonstrated by USA Today's use of AI-assisted shell files, is becoming a critical competitive advantage to capture organic traffic ahead of AI summarisation. Brand visibility in AI-driven search is complex; analysis by Lily Ray indicates that Google AI Overviews may cite self-serving listicles but still recommend competitors in a high percentage of cases, demanding more sophisticated content strategies. New tools like Adobe Brand Visibility are emerging to help businesses track and improve their presence across AI surfaces, reflecting a commercial need for specialised market intelligence in this evolving space. Social media channels are also integrating AI, with Meta launching AI Mode in Facebook Search to provide AI-generated answers based on public content, creating new avenues and challenges for brand discoverability within social platforms. Expect increased investment in AI-specific analytics and intelligence tools, with media and marketing teams developing integrated strategies for hybrid AI-human consumption patterns.

Privacy, policy & regulation

Regulatory bodies are increasing scrutiny on AI-powered search, pushing for greater transparency and offering users and publishers more control over how their content and data are used by AI systems. Google has introduced an AI opt-out feature for publishers, allowing them more control over whether their content is surfaced in AI experiences. While this doesn't halt AI adoption, it provides a crucial mechanism for publishers to manage their intellectual property and content distribution strategy in the AI era. The UK's Competition and Markets Authority (CMA) has gone further, ordering Google to not only provide the opt-out but also to explain its search ranking methodologies within six months. This mandate for increased transparency has significant operational implications for Google and establishes a precedent for regulatory oversight. For businesses and publishers, adherence to Google Search Essentials (formerly Webmaster Guidelines) becomes even more critical, as manual penalties for violations can have severe commercial consequences, highlighting the importance of preventative compliance. Anticipate a tightening regulatory environment around AI in search, with a focus on data usage, content attribution, and algorithmic transparency, driving greater emphasis on ethical AI practices and robust data governance.