Kirsty McLellan shares that it's key to stop designing SEO pages as AI encyclopaedias — and start designing them as human experiences. Talking points include: How do you design pages for AI and humans? If you design for humans are you less optimised for AI? Can you design separate pages for AI and humans? What does the optimum combined optimised page look like? Is it worthwhile to still optimize for humans? Are humans still visiting websites? What are the metrics to measure success?

Tory Gray highlights that community blends the worlds of AI and SEO together. Tory says: “Drop the AI and SEO binary and redirect that effort into tactics, including community-building tactics, that increase visibility across both platforms.” Are you saying that anything you do for SEO is naturally optimizing for AI as well? “Not inherently everything, but there is significant overlap. It’s similar to local SEO versus traditional on-site SEO, or perhaps SEO for Bing versus Google. We might be measuring the same tactics, but they can be measured in different ways, and we might value those tactics differently. There may be changes across what we do for those platforms, and we can and should be thoughtful about how we do that, but there’s a significant overlap and work that benefits both.

Jon Mest shares that AI needs human interaction in order to be confident in the authority of recommendations. Jon says: “User intent matters more than ever in AI search.” How do you determine what the user intent is in AI search? “So much of traditional SEO is about building your backlink profile, making sure that other reputable sites reference you, and making sure that other people say that you are who you are and you're authoritative. That still matters, but more so now than ever. When the AI thinks about who to recommend as a brand, they care about real, actual humans saying you are a good brand. That is things such as Reddit, Quora, and YouTube comments. It includes case studies, user testimonials, review sites, etc. Those all really matter to the AI when they think about how you should be referenced as a brand.”

An extremely popular community platform in 2026 is Reddit, and building your own branded subreddit is something that Chris Meabe recommends. Chris says: “Make your own branded subreddit. The fact that Reddit is dominating the SERPs right now is something that everyone is noticing, even people who aren't SEO specialists. It's a really fast and underappreciated way to start ranking for a lot of high-difficulty keywords, and it doesn't have to be too difficult either.”

Erin Simmons shares that, although AI is important, users still rely on communities to assist with the final buying decision. Erin says: “In 2026, we’re already starting to see that AI is where people start their research, and community is where people make up their minds. Therefore, in 2026, the smartest SEO strategies are going to optimize for both.” Is it becoming the norm for people to use AI for search? “People are getting AI more directly in their faces through things like AIO, but I don't think that the average person is going to ChatGPT or Perplexity specifically. If your demographic is my mother's demographic, I know she's not going to ChatGPT. However, she does use Google a lot, so she is experiencing AI Mode.

Richard George shares that content decay, where website content becomes outdated or irrelevant, negatively impacts user engagement, SEO, and brand reputation, and requires practical strategies and tools for identification and management to keep content fresh and effective. Talking points include: How do you identify ineffective content? What metrics do you look at? What has the zero click serp done to identifying this content? What do you do about it? Should you delete old content? How does this feed into content strategy?

Andrew Stubbs suggests that, once you understand your consumers, you should be ensuring that your content is structured appropriately to be featured by AI search engines. Andrew says: “There is a growing need to understand an awful lot more about consumer activity in terms of where they're actually searching. People used to go on about voice search, which is obviously important, but now you should really be trying to own the answer layer. By that, I'm referring to AI citations and references. When I type something into Google, I generally go to two places. I might go to Google to ask a question and get an answer, or to help me on my fact-finding or information-gathering journey. Otherwise, I'll go to ChatGPT, Claude, or any of the other AI engines, and I'll ask them for their recommendation.

Christopher Hofman Laursen shares that once you’ve mapped out your customer journey, it’s time to determine where AI is going to help you. Christopher says: “Take a step back and really try to understand where generated AI platforms will fit into the customer journey.” Do you do that by instinct, or is there research and data you can use to determine where that's likely to be? “First off, it's super important to realise that there's so much noise in the market at the moment. Right now, we're talking about ‘GEO’ as a new SEO discipline, trying to optimize for generative AI engines. There are former SEO consultants now going all-in on GEO. You see future crypto bros trying to get their foot in the door and creating blank canvas agencies competing against the established agencies. There's a lot of noise to declutter at first.