AIMKT: AI for Marketers, Simplified

AI is amazing.. There's no doubt about it. I use it. I like it. I think it’s one of the best tools businesses have had access to in years. But **a tool is not a strategy.** AI can give you ideas. It can help you write faster. It can organize information. It can help you overcome a mental block. It's quick to apologize and doesn't hold grudges when you yell at it. What it can’t do is replace the human judgment behind good marketing. It doesn’t truly know your customers. It doesn’t understand the little nuances in your business. It doesn’t look at your competitors and instinctively know what’s off. It doesn’t challenge you when your idea sounds great in your head but probably won’t convert. That’s the difference. **AI gives you output. A marketer gives you direction.** And if you’re using AI by yourself and wondering why your marketing still feels generic, inconsistent, or like it’s not actually moving the needle… That’s probably why. Your customers are still looking for AUTHENTICITY. They don't want the same AI-gerated content like every other market in your niche. They want to know what sets you APART. Use AI. Absolutely. Just don’t confuse the TOOL with your business IDENTITY. #MarketingStrategy #LocalSEO #GoogleBusinessProfile #SmallBusinessMarketing #RealKingdomMarketing

Nonprofits keep asking me what AI means for their website. What I tell them: If AI can't understand your site, it can't recommend you. So if you want your site ready for AI, focus on three things: 1️⃣ Start with strategy Strategy helps you organize your message so AI can understand who you help, how you help, and which pages to promote. 2️⃣ Make your website easy for AI to read Build a technically sound website. This is the big one. People assume that whoever they hired "did everything correctly under the hood." But honestly? Nine times out of ten, that's not the case. I've opened LinkedIn "We launched our new website!" posts, run the URL through a Chrome extension, and found things like a landing page with 19 H1 headings. At that point, AI doesn't stand a chance of understanding what the page is about. 3️⃣ Keep your agency accountable to standards No agency I know delivers a technical report explaining how the site is structured and built correctly for AI and search. People assume it's fine. It often isn't. Ask questions! AI rewards websites that are built well. It's as simple as that. P.S. What do you love using AI for? Can be anything! Drop it in the comments. 👇 #EdmontonBusiness #yeg #yegbiz #yegbusiness

GPT-6 Astra isn't just another AI model. It could change how digital marketing gets done. For years, AI helped marketers create faster Write the blog. Generate the caption. Create the ad copy. Analyze the report. GPT-6 Astra changes the equation. OpenAI says Astra can use computers, browse the web, work across software, update CRMs, create websites, analyze data, run QA, and execute complex multi-step professional workflows. It reportedly completes computer-use tasks about 47% faster than GPT-5.6 Sol in OpenAI's OSWorld 2.0 latency simulations. And that's where digital marketing gets interesting. The next phase isn't AI-assisted marketing. It's AI-executed marketing. Think about a performance marketing workflow: → Analyze Meta Ads → Identify declining campaigns → Find creative fatigue → Compare audience performance → Recommend budget shifts → Create new creative briefs → Update reporting Today, a marketer does most of this manually. Tomorrow, an AI agent could potentially execute much of the workflow. The same shift is coming to: SEO: From ranking pages to being recommended by AI. Content: From producing more content to discovering better insights. Performance Marketing: From manually monitoring campaigns to AI-driven optimization. Lead Generation: From collecting leads to automatically researching, qualifying and routing them. Agency Operations: From selling hours to selling AI-powered growth systems. And this is the important part: AI won't make strategy less important. It will make strategy more valuable. When execution becomes faster and cheaper, the competitive advantage moves toward: • Better positioning • Better customer understanding • Better creative thinking • Better data interpretation • Better systems • Better decisions The future digital marketer won't simply be the person who knows how to use AI. They'll be the person who knows what to give AI. That's a much bigger skill. The question for marketers in 2026 isn't: Should I start using AI? It's: Which parts of my marketing operation should already be running through AI? That's the conversation agencies and marketing teams need to start having now. #DigitalMarketing #AI #GPT6 #AIMarketing #AgenticAI #MarketingAutomation #SEO #PerformanceMarketing #FutureOfMarketing #CodeAgni

The biggest mistake marketers will make with AI search is treating it like SEO with a new name. It isn’t. Traditional search was largely: Keyword → Ranking → Click → Website. AI search changes that journey. Someone asks #ChatGPT, #Gemini, #Claude or #Perplexity a question. The AI may consult several sources, compare them, build an answer and give the user what they need without a single website click. So marketers have a new challenge: You don’t just need to rank. You need to be understood. The 4C Test for AI Visibility: 1. Clarity Can AI quickly understand what you know? If you consistently write about marketing strategy, AI search, brand growth and measurement, your expertise becomes easier to associate with those topics. 2. Consistency Your LinkedIn, website, media mentions, podcasts and bios should tell roughly the same story. Your digital footprint is becoming your machine-readable reputation. 3. Corroboration What you say about yourself is positioning. What credible third parties say about you is evidence. 4. Citability Make your ideas easy to extract. Use clear frameworks, named concepts, hard numbers, examples and statements that can stand on their own. And this may be the bigger shift in personal branding. The question is no longer only: “What do people know me for?” It is also: “What does AI know me for?” Because before someone hires you, shortlists your company or asks for your expertise, they may ask an AI system first. That answer will depend on the digital evidence you are creating today.

Great post! 👇 For those actively working on GEO, the next step into AEO (not Answer Engine Optimization, but Agent Experience Optimization) is what we all need to understand. This goes well beyond SEO, deeper into the world of Customer Journey and Product Management.

I think marketers are preparing for the wrong AI transition. Everyone is asking: "How do I get ChatGPT to mention my brand?" Important question. But watching where these systems are heading, I think there's a bigger one underneath it: What happens when AI doesn't just recommend your brand, but acts on the customer's behalf? OpenAI released GPT-6 Astra on September 3. The part that stayed with me isn't that the model is smarter. It's what it was built to do. OpenAI put computer use at the centre of the launch: a system that navigates pages, fills forms and works through interfaces the way a person would. Research, browsing, reasoning, execution arriving in the same system. And this week OpenAI published something from inside its own research org. By mid-August, it was using the equivalent of 3.1 agent-workdays for every human workday. That's the company measuring the shift on itself. Think about where this leads. Today: Human asks AI → AI recommends a company → human visits the website. Tomorrow: Human gives AI a goal → agent researches → compares → evaluates → chooses → acts. The search journey in the middle may not always happen. And that creates a marketing problem I don't think we've named yet. We've spent decades optimising for humans. UX. Landing pages. Navigation. Funnels. SEO. But an agent doesn't experience a brand the way a person does. It needs information it can find. - Claims it can verify. - Products it can parse. - Evidence it can trust. - Interfaces it can operate. - And enough confidence to pick you over the alternative. That's why I think Agent Experience becomes a real discipline. SEO asked: can search engines find us? GEO asks: can AI understand and cite us? Agent Experience asks: can an agent understand, trust, choose and transact with us? Three different questions. We're at the very beginning of the third. ♻️ Repost so fewer founders mix these up. ✅ Follow Stephane Tchokomeny for more on Marketing, AEO, SEO, and AI search. #AgentExperience #AISearch #AIAgents

People! Can we be honest for a minute? Since the AI wave, we’ve become really, really good at producing things NOBODY ASKED FOR. 🧟♀️ Ten LinkedIn posts in ten minutes. Fifty ad variations before lunch. A month’s worth of blogs generated in an afternoon. Personalised emails at scale. AI-generated case studies, landing pages, campaign calendars, strategy documents… We can now produce more marketing content in a day than the very SAME teams could produce even in a month! And yet, somewhere in the middle of this glorious productivity explosion, all of us are silently wondering: “Why isn’t it working?” Maybe the problem isn’t the speed of execution anymore... It’s the thinking that happens before execution. Because AI can absolutely help you write the campaign. It can analyse your audience, find patterns in your data, generate 25 headline variations and even tell you which one it thinks will perform best. But it cannot magically make a weak insight interesting. It cannot turn a vague ICP into a genuine understanding of your customer. It cannot manufacture a reason for someone to care. And it definitely cannot replace that slightly uncomfortable conversation where someone in the marketing room needs to ask: “Are we actually solving a real problem, or are we just getting better at talking about our product?” I think this is where the next advantage in marketing is going to come from. Not from who uses AI the fastest. Not from who has the biggest AI stack. And definitely not from who can generate the most content before everyone else has had their first coffee. It will come from the people who use AI to think better, not simply produce faster. Because when everyone has access to essentially the same models, the competitive advantage stops being the tool. It becomes the person behind the prompt. The questions they ask. The context they bring. The experience they bring to the table. And perhaps most importantly, their judgment about what not to automate. AI has made content cheap. Attention is still expensive. 💸 And relevance? That’s still earned. ✨ #UnfilteredTuesday #AI #GTM #ContentMarketing

We talk a lot about content, but that's because it's so important to AI search. Search engines have long depended on serving content to users. Now, AI engines are depending on it to deliver synthesized responses for users. But it's not enough to just create any old piece of content. ✍🏻 You need to create content that has real, unique value. Let's imagine you have two blog posts about how to choose a high-yield savings account (HYSA). 👉🏻 Blog post #1 goes in-depth and talks about what a HYSA is, an in-depth list of the top ones, how interest works, interest rate shifts, FAQs, and more. 👉🏻 Blog post #2 just covers what it is, a quick list of the top options, and a quick FAQ. Which do you think is more likely to get cited in AI engines? If you said #1, you're right. 👍🏻 AI engines tend to consult high-value, helpful content that enables them to deliver a better response to users. A thin piece of content, like #2, isn't likely to cut it and get cited. Now, don't get it twisted — having more in-depth content just for the sake of it being longer isn't the solution either. The goal is to create content that meets user expectation and helps answer their questions. So if you want to create content that has real value, focus on delivering helpful information your audience actually wants to help increase your chances of getting pulled by AI engines.

Some people profit from AI excitement. Some profit from AI fear. Some profit from AI confusion. They don't need you to understand it. They just need your attention. When someone tells you AI will take your job, they are observing where the attention is and feeding it. When someone tells you AI will make you dumb, or make every human irrelevant, or take over the world, they are profiting from the noise. Not directing you. Not educating you. Profiting. Nobody's job is to look out for you. Every man for himself. And that means with self-awareness comes a duty to your own mind: to question what you absorb, to ask why a particular narrative is being amplified, and to be honest with yourself about whether your reaction is based on understanding or just emotion. HubSpot's 2026 State of Marketing report says 80% of marketers now use AI for content creation. The question is no longer whether AI content exists. The real question is whether your AI-assisted content has taste, depth, and a clear commercial purpose. You don't use it to flood the internet with noise. You use it to clarify your message, build a simple offer, and serve your clients with more consistency. That's a completely different ballgame from what the panic merchants are selling. https://ceovvip.com/CIS/

There are now dozens of tools that will write a founder a LinkedIn post in 15 seconds. None of them have sat through the 200 customer calls, product pivots, and hard renewals that made that founder's opinion worth reading in the first place. That distinction matters more now, not less. When anyone can generate fluent, well-structured content instantly, fluency stops being the differentiator. What is left is whether the content contains something the writer actually lived through. We see two very different models play out with founders. The first: run a prompt, get generic industry commentary, publish it, and blend into the thousands of similar posts published that same week. The second: take a founder's specific, sometimes uncomfortable opinion from a real deal or a real mistake, and use AI only to structure and distribute it faster. The second model is the only one that compounds. Every post built on real experience makes the next one easier to write and harder for a competitor to copy, because a competitor cannot copy an experience they did not have. AI is a distribution engine. It was never meant to be the source.