In the past, it didn’t matter so much if old, less relevant content existed on your website and elsewhere. Dani Leitner shares that this isn’t the case anymore.

Dani says: “My tip is a really easy one: Clean up your online presence because AI sees everything.”

Kristina Bergwall discusses the importance of translating SEO into a language of tangible business impact in the future AI search landscape, and using that narrative to align all teams such as social, PR, and brand to work together, is what's going to make you win at SEO in 2026. Talking points include: How do you identify the areas of SEO that are likely to result in tangible business impact? What are examples of areas of SEO that don’t tend to deliver tangible business impact? How do you ensure that you don’t shut off SEO activities that take longer to have an impact? How does the future AI search landscape change for different businesses? How do you align different marketing teams to work more effectively together in this changing landscape?

Damien Robert explains the need to move beyond traditional web content, achieved by making content modular, leading with irrefutable evidence. In addition, he recommends managing all assets from a single source of truth to please both humans and AI consumption.

Damien says: “Re-order your content to future-proof your search dominance.”

Mark Williams-Cook explains that you also need to consider the type of search that you’re attempting to optimize for, and the way that AI engines deal with different types of searches.

Mark says: “Everyone should be determining whether their AI searches need grounding or not.”

Jason Barnard shares that you can’t look at LLMs alone as the standalone way to determine whether or not your AI optimization has been a success.

Jason says: “I'm going to explain how any marketer can optimize for AI-assistive engines.

People call it generative engine optimization; I call it AI-assistive engine optimization. Whichever name you use, the principle to SEO in the AI era is very simple, and it's called the Algorithmic Trinity.”

Garrett Sussman shares that, even though there is great opportunity in being included in AI search results, results aren’t guaranteed.

Garrett says: “Treat AI search as probabilistic, not predictable.

Build content strategies rooted in deep audience understanding, because what shows up in search results depends on who's searching and how they search.”

Katie New shares the importance of tracking metrics that actually matter to you in 2026 (not just the default ones that you're used to asking for!) Talking points include: What are the default metrics? How do you determine the metrics that matter to you? How do you know that these are the best metrics to track? How do you know the best way to go about tracking them? How often should you review your metrics? How do you persuade stakeholders to change metrics?

Nik Ranger shares that you shouldn’t necessarily conclude that ranking on Google means ranking well on AI search engines.

Nik says: “Stop thinking just about ranking on Google and start focussing on a new discipline: AI visibility engineering. This is where you can systematically probe AI models to measure brand associations, quantify perception, and then use those insights to engineer on-page, off-site, and then use those insights to engineer on-page, off-site, and strategic actions that influence how these machines understand and represent your clients.”