What I Learned at Full Circle AI Marketing Conference 2026

On April 8, I went to the Full Circle AI Marketing conference in Toronto, hosted by NP Digital, the agency founded by Neil Patel.

Honestly, his talk was the main reason I decided to go.

I’ve been learning from Neil Patel since my early days in marketing, and I can confidently say his SEO perspective has influenced how I think about search ~~engine~~ everywhere optimization today.

This was the second biggest marketing event I’ve attended in the past two years, after SEO IRL 2025. If you’ve attended both, like I have, you could quickly spot the difference. SEO IRL was very focused on SEO tactics, while Full Circle was more about conversations around AI marketing and where things are going.

My biggest takeaway is that no one really knows the right way to use AI yet. We are still early. Most speakers shared ideas and opinions rather than clear step-by-step guides.

However, we can all agree that AI gives us the ability to do more with fewer resources.

That’s actually why I didn’t spend hours writing this recap. I asked Claude to turn my messy handwritten notes into something readable and help me put this post together.

Because if there’s one thing the conference taught us, it’s this — be creative.

Talk 1: From Attention to Intimacy

Speaker: Mitch Joel, Co-Founder, ThinkersOne

In my opinion, the first talk set the tone for the whole day.

Mitch Joel’s central argument was that the marketing economy has shifted in three stages: attention economy, influencer economy, and now what he called the intimacy economy, where the goal is a 1-to-1 connection at scale. This basically means that if you are producing content that feels like it could have been made for anyone, it will increasingly feel like it was made for no one.

The line that opened the talk was this: “Speed is dead. Things are building faster.” The point being made was that direction and momentum matter more than speed. You can move fast in the wrong direction and end up nowhere useful.

He has also explained that the way we interact with AI will evolve as follows: text prompt > vibe code > agent, which illustrates how quickly people move from “I typed a prompt” to “I have an agent doing my research.”

Another insight from Mitch was about AI replacing us versus AI exposing us. The “expose” framing was interesting. The argument is that AI forces a new way of thinking rather than simply automating old work. Whether that is optimistic or just reframing the same displacement is debatable, but I thought it was a more honest way to frame it than the usual “AI as your assistant” line.

Mitch has also introduced the PACE framework to remind us, humans, how we stand out and what humans bring to the table in the age of AI:

P = Palette (your creativity and the tools you use)
A = Agency (resilience, which is what distinguishes us from machines)
C = Commune (the strength of your network outweighs your product)
E = Elevate/Educate

The quote Mitch closed with: “You have to be 1% more curious than scared.” This quote stuck with me all day and will probably go on my wall.

Talk 2: Trust Intelligence

Speaker: Erin Elofson, President, Mastercard Canada

This was a fireside chat with Erin Elofson focused on trust in an AI-driven commerce environment.

Let me give you a bit more context: Mastercard is thinking about agent-driven payments, which means trust is not an abstract brand value for them. It is a technical and financial necessity.

A few things came up that I had not heard framed this way before. Covid was cited as the catalyst that accelerated touchless commerce, and now the next leap is agent-initiated purchasing. The question “Are we ready for agent pay?” was raised without a clean answer, which felt honest.

On AI’s role: Erin was clear that the current value of AI for their use case is in answering questions, doing research, and surfacing recommendations that are action-driven. Not replacing human judgment, but reducing the friction before it.

The stat that stopped me: 1 out of 5 transactions will be through agents in the following years. Whether that timeline proves accurate or not, the direction it points is clear.

Erin has also mentioned that Mastercard employs a 5,000-person cybersecurity operation team in Vancouver. The point being made was that trust is not a marketing message for them. It is infrastructure. “Trust is in the Mastercard DNA” was the line she used. And the warning that came with it: “If you don’t build trust, it’s hard to fix it later.”

The future-state vision involved agents that analyze why customers are lost and help retain them, freeing up human time for higher-value work. “A lot feels unknown than known” was Eron’s honest summary of where the industry sits right now, and I totally agree with her.

Talk 3: Creativity at Scale

Speaker: Jonelle Ricketts, Head of Marketing, IKEA Canada

Jonelle Ricketts’ talk was about what creativity looks like when you are a 50-year-old brand operating at a global scale in an AI environment.

Jonelle explained today’s landscape using four main pressure points:

Customers → their needs are always changing
Trust → it’s easy to lose
Future → full of opportunities
Agentic → you need to stay flexible and adapt

According to Jonelle, the AI use case IKEA is focusing on is visual: helping consumers see products in their homes. Not a new concept, but the scale at which IKEA is pushing it is notable.

IKEA has been in Canada for over 50 years. Therefore, according to Jonelle, branding comes from consistency. How you show up online, in store, and across the globe has to be the same. That is harder to maintain as AI-generated content scales.

The detail I found most interesting is that IKEA still does home visits across Canada to understand how people actually live and what frustrates them. The explicit point she made was that AI does not have this context. It doesn’t have a personal touch.

For a brand this size to be saying that in 2026 is worth noting. They are not treating AI as a replacement for customer empathy. They are treating it as a production and personalization tool, while still collecting user insights manually.

Talk 4: Building the Right Thing vs. Building Things Right

Speaker: Tedde van Gelderen, Founder & President, Akendi, UX agency

This was probably one of the most actionable talks of the day, given the conference’s overall conversational format.

Tedde van Gelderen made an argument that AI is changing the four things every brand needs to think about: brand, content, product, and service.

UI (user interface) and screens are now the primary surface where everything happens, and AI is increasingly embedded in all of it.

Tedde’s honest take on AI limitations was that AI tools are not capable of strategic thinking yet. They are more capable of execution. With agentic AI, the value is in moving the ladder, making the agents themselves more knowledgeable and better scoped, not in replacing the strategic layer.

He also mentioned that good user experience is an opportunity for marketing, not just a product function. When the experience is right, that is the brand.

Two specific ideas worth carrying forward:

Fluid UI that relies on AI to predict how people behave and customizes the design accordingly
AI as a tool for fast prototyping.

The second idea is practical. If you are sitting on an idea that would have taken two weeks to prototype before, that timeline has compressed significantly.

Closing Talk: Preparing Your Brand for What's Next

Speaker: Neil Patel, Co-Founder, NP Digital

Neil Patel closed out the day. I had an impression that everyone was waiting for him to finally show up.

Neil made multiple specific points worth documenting.

On AI content: if you are only creating AI-generated content, the long-run outcome is less traffic, not more. The risk is hallucinations producing content based on other AI-generated content, creating a reliability problem that compounds over time. The framing he used was humans + AI, not humans versus AI. The roles: ideation, creation, and brand direction stay with us, humans.

On the channel question: Google is still growing, but search will become the second most common way people discover things. Social media, and specifically TikTok-style content, is the primary discovery engine now. The intimacy-economy framing from Talk 1 applies here. Search is not dead, but it is no longer the top of the funnel for most consumers.

The E-E-A-T point was one I track closely, given my own site’s focus on personal brand SEO. His point was that genuine expertise matters for everyone. Worth auditing your existing content against this if you have not recently.

The practical steps he outlined:

Claude for enterprise AI use cases vs ChatGPT for broader consumer use
Your strategy needs to be omnichannel: text, video, images, across every platform your audience uses
On average, people are across 6 platforms in a month
Share opinions. Fifteen minutes of opinion-based content outperforms passive content consistently
Search everywhere is coming. Optimize for being found on every platform, not just Google

It still feels surreal that I got to talk to Neil and ask him questions.

So, I asked Neil if the traditional SEO differs in any way from AI SEO? Neil mentioned there’s maybe a 10-20% difference between these two, but the fundamentals haven’t really changed.

And since users use at least 6 platforms a month to find information and make a purchase decision, your strategy has to be omnichannel, from text to video, Reddit, and images.

So, what I believe Neil implies by those “10-20%” difference is that it’s now Search Everywhere Optimization, which is really about all the channels where your potential audience operates, instead of just your website.

My Overall Take

The people at the conference were great, and how easy it was to walk up and talk to them was probably the best part.

But I also came to this conference with specific questions. How are brands actually using AI in marketing? What works for them and what does not? I also wanted examples I could point to and learn from.

What I got was more conversational than that. The talks touched on ideas more than they delivered playbooks. The most tactical session was Tedde van Gelderen’s Talk 4, and even that was more conceptual than step-by-step.

To me, the conversations showed where the industry really is right now: still figuring things out, having a general sense of direction, and learning as things happen.

Nobody had a clean answer to “how do you build trust when agents are making purchases on behalf of consumers?” Because nobody has fully solved it yet.

The through-line across every talk, whether it was Jonelle Ricketts at IKEA, Erin Elofson at Mastercard, or Neil Patel, was the same: human context is still the thing AI cannot replicate. The home visit IKEA still does. The trust infrastructure Mastercard has built over decades. The opinion Neil Patel says you need to share. All of it points back to the same idea Mitch Joel opened with: intimacy is AI’s superpower, but only when there is a genuine human behind it.

I will be back next year. And I will come with sharper questions.