If I fast-forward, a lot of what are just information-seeking queries will be agentic in Search. You'll be completing tasks. You'll have many threads running.
Buyers no longer open ten tabs, skim through blog posts, and slowly form an opinion over weeks. Instead, they ask a single question to an AI system and receive a shortlist in return, usually two or three companies that feel familiar, credible, and safe enough to justify internally. That shortlist often becomes the entire market in the buyer's mind.
For most of the last two decades, SEO mostly meant one thing, where you ranked on Google (and occasionally Bing). The customer journey was familiar. Someone searched, scanned a list of links, clicked and explored. Now the journey is increasingly 'ask, get an answer, take action.' And the platforms shaping that journey include ChatGPT, Claude, Gemini, Perplexity and Google itself, which is inserting AI summaries, what Google calls AI Overviews, into search results.
Voice search doesn't change people's need to search, but what does change is our need to pay attention to our audience's requirements and adapt our strategies to account for more than just 'money keywords'. The challenge that voice search throws at us is the advent of the single default answer. It's 'I'm Feeling Lucky' but on a wide, landscape-changing scale.
GEO (generative engine optimization) is the practice of optimizing digital content for AI-driven discovery so that your brand shows within AI-generated answers to user prompts. The key to winning at GEO is creating and distributing content that AI tools like to read, understand and serve up in their responses.
What if you could build your own AI research agent, no coding required, and customize it to tackle tasks in ways existing systems can't? Matt Vid Pro AI breaks down how this ambitious yet accessible project can empower anyone, from students to seasoned professionals, to create a personalized AI capable of conducting deep research, synthesizing data, and delivering actionable insights.
Traffic. Focusing on traffic obscures the purpose of AI answers: to satisfy a need on-site, not to generate clicks. AI-generated solutions do not typically include links to branded websites. Google's AI Overviews, for example, sometimes links product names to organic search listings. Thus visibility does not equate to traffic. A merchant's products could appear in an AI answer and receive no clicks.
Content discovery is the passive or active process of finding information on the internet using keywords. It displays previously created or indexed content, requiring users to sift through generic search results and to read through multiple long pages. Unsurprisingly, this approach often has the familiar drawbacks of content saturation and noise, leading to frustration and wasting users' time. According to a 2022 study, people who have difficulty finding content rate it as 53% less useful and accurate.
