Why are businesses not doing a good job of leveraging leads from organic? With Jason Kramer

In 2026, the most effective SEO strategy is to create truly unique, non-replicable content, which means avoiding the use of AI to mass-produce generic pages at scale. What do you think?Discussion points include:Why is mass-producing content a fragile strategy?How do you differentiate content?What are examples of types of content that nobody else can produce?How do you know if your target audience is likely to want to know about your personal perspective?What are the downsides of this strategy?Where should AI be used?

Jason Kramer shares why businesses not doing a good job of leveraging leads from organic - and what to do about it. Talking points include: Why are businesses not doing a good job of leveraging leads from organic? How does a business better identify leads from organic? How can businesses do a better job of utilising these leads? How can SEOs work better with other marketing team members to better utilise these leads? What systems and software should be used? How should this better affect and improve organic search strategy?

Will Rice discusses the importance of creating useful tools to convert more of your existing traffic. Talking points include: How to understand what is going to get your traffic to convert more. How do you know what traffic is likely to convert? How do you put a financial value on traffic from different sources? How to rapidly build tools to provide genuine value to your customers. Which tools are best? Why is this better than other forms of traffic? What else to do with the data you get from the tools you build?

Taylor Kurtz provides our final SEOin2026 tip, advising that we stop obsessing over AI and instead, focus on high quality content.Taylor says: “Do not obsess about AI. Don't obsess about it.”Why shouldn't you obsess about it?“I'm sure a lot of people have helpful suggestions about it, but frankly, it's all so new that it’s on a trial basis. Anyone saying that they know what to do for this environment, it's not true. They think they know what to do, but nobody knows for sure. It's all based on: What am I doing that's working? What are my peers doing that's working? How do we navigate this?Google has not provided any guidance – and even if they did, who really cares? As we saw with organic search, even if they did provide specific guidelines, those aren’t always true. My issue is more the fact that people feel so concerned about it. For instance, I have so many clients asking, ‘How am I doing on ChatGPT?’, but a study came out yesterday showing that referral traffic from ChatGPT from July 21st through yesterday (August 26th) was down 52%.AI is not going anywhere, and we're very much going to have to adapt to it, but I do not think search will change very much. We're going to have to adapt to utilising it as a new technology, similar to how we had to adapt to voice searches using Siri and things like that.One thing that really does bother me is seeing so many people online talking about GEO, or Generative Engine Optimization. To me, that does not exist. If you want to really get down to the bare bones of it, the crawlers – whether they're crawling the robots.txt file or the newer llms.txt file – are still crawling your source code. The source of information is the same. I'm constantly hearing that GEO is the new thing because the landscape has totally changed with AI search. Typically, the people who say that then go on to present obvious and foundational tactics that have always applied to SEO. For example, ‘We should use schema.’One thing we've been really focussing on with our clients is making sure that the authors have authoritative bio pages that show their credentials and show who they are. Are the articles fact-checked? However, that all pertains to EEAT (Experience, Expertise, Authority, and Trust), which has been an acronym in SEO for going on a decade.

Stefan Lozo shares the importance of not neglecting traditional SEO int eh age of AI. Talking points include: What activities would you describe as traditional SEO? How should an SEO define their services in 2026? How should this be communicated with clients? What happens if clients push back and are looking for other services or ways of doing things? How do you set realistic expectations for clients? Is it a good idea to do white label SEO for other agencies? How do you see the traditional agency SEO offering continuing to evolve?

Michael MacMillan shares our penultimate piece of advice by encouraging you to ensure that all the good SEO that you already intend to do, is being done. Michael says: “While AI is flooding the web with content, it’s also assisting teams to create huge strategies and big plans. However, we're still not seeing them getting executed.”What does execution actually mean, and why is it not happening?“Imagine that you’ve gone through and done an SEO audit; you've explored all the opportunities, you've gone through the competitor set, and you've gone through what you have for existing content and how you're performing.Then, you get this beautiful list of what you should do to get things done – much like going to the physio, where you get a list of the exercises you should do when you're not at the physio. In the meantime, between visits, the work's not getting done.There's definitely a place for using AI. It's great at analysing data. It's great for giving a first draft of a piece of content. We're leveraging it to get content briefs put together and get a first draft of content. However, a lot of the time, we're seeing things getting shelved.Priorities start getting pulled. It's sometimes the fact that there is a whole lot that needs to get done. A lot of marketing teams are dealing with having fewer people to execute with, and they're having to rely on other sources to get things done.”

Reena Bowden agrees with Jade Pruett about the ability to stay agile as we move through 2026.Reena says: “Make sure that you are discoverable, and be agile with optimizing your business for AI-driven search and answer engines. We're also talking about GEO and AIO, not just for traditional search.To be discoverable and agile, you need to be proactive and not just reactive to market changes because things are moving fast.”How would you summarise the key elements of making your brand discoverable in the age of AI, and how has that changed in the last few years?“Not only have things changed in the last two years, but things have changed more than they have in the last 10 years.Just when you think that SEO is going to become boring, it becomes less boring once again. Gone are the days of just building pages for SEO: looking at your keywords, publishing content, and then waiting a few months for the results. Things have changed so much recently, but things are changing again very fast.The question is, how do you remain discoverable and remain visible in this world? You have to work on your assets and materials (whether that’s information or insights – including those that are owned, earned, and paid) to continue being visible in that new AI world, but it's also important to be mentioned in citations.To remain top-of-mind and visible, there are a number of things that you can do to make sure that you continue being SEO-friendly, but you are also AI-friendly. However, it's important to be recognised by the outside world as well. Off-page SEO and, increasingly, digital PR are gaining importance. All of these high authority, trusted sources are becoming very important, as are citations.It's important to understand what AI is looking at when it's looking for information about you. That is where I see the game changing.”

Jade Pruett is keen to highlight that best practices that existed in the past aren’t necessarily best practices for the future.Jade says: “Forget best practices. SEO in 2026 is about moving beyond checklists and leveraging your own expertise to build effective, trustworthy, and AI-ready strategies.”What best practices do we need to forget?“In the industry, we've become a bit stuck in our checklists. That's often our safe space, as SEOs – especially when you work in an agency setting.Maybe you have a productised system that you offer your clients. So, your SEO has been limited to, ‘We're going to create X number of blog posts every month. We're going to follow these rules that we see online about what matters and what doesn't.’ You provide your SEO services, whether they're really moving the needle for the client or not.In 2026, especially with AI search coming out, things with Google are changing so quickly. It's time to take a step back and really trust your own gut on what's going to move the needle forward for your clients.”

Petra Kis-Herczegh encourages you to be more critical in your thinking – and not to initially accept everything at face value.Petra says: “Embrace healthy scepticism.In a time where the SEO industry is drowning in new AI metrics, from AIO attribution to vector index presence, we need to understand that we don't have robust, standardised methods to validate these just yet.When tools show you things like AI visibility, you should be asking: What's the sample size behind this? What's that number or percentage based on? How are these metrics defined? Is the tool actually using LLM training data, or are they reverse-engineering the attribution models?Embracing healthy scepticism and using critical thinking isn't a new thing. It's not a new process; we’ve had to use it before, but this situation makes it crucial. Previously, when featured snippets appeared, we had to completely rethink how we evaluated our existing Google Search Console data, because it now meant something different because of the change, and it was in a new context. We’ve had to ask these questions, and not just chase new metrics, but evaluate the data that we are basing decisions on.Part of the problem now is that people are trying to look at these shiny new metrics as something that they can base decisions on, when they actually might change in a month or two. Everyone's still collecting data, looking at that attribution model, and trying to learn how these LLMs understand your websites, do vector embeddings, understand context, and serve answers – and the models change all the time as well, so that plays a part.Before you bet your credibility on a shiny new dashboard, you need to ask yourself: What would you actually do differently with this data? Do you have any other way to validate this from something that you already trust and know to be proven?If you can't answer those questions, you are just chasing the hype instead of thinking critically.”

Andrew Melnychuk Oseen shares that for effective SEO in 2026 you should be aware of what data sources you're feeding LLMs. Discussion points include: What data sources should you be hooking up to LLMs? What are your go-to LLMs at the moment and why? What are the common mistakes that tend to be made in doing this? What end result are you looking for? Is there any data type that you shouldn’t be getting LLMs to analyse, where human SEOs should be doing the analysis by themselves? You say that AI isn't going to replace human judgement - what does this mean in practice?