Search Everywhere Optimization: The Rules Just Changed (Again)
I got an email from Neil Patel this morning. And I almost scrolled past it.
Not because it wasn’t good — Neil’s always got something worth reading. But because I’ve been saying a version of this to my clients for months now, and sometimes it takes hearing it from someone with a massive platform before it lands.
So let me say it louder, with Neil’s data to back me up.
SEO: Here’s What Changed— And Why It Matters
Sarch Engine Optimization is now “Search Everywhere Optimization.” And yes. It’s really a thing.
We went from SEO to AEO (Answer Engine Optimization) to GEO (Generative Engine Optimization) in what felt like about fifteen minutes. And just when businesses started getting comfortable with the idea that they needed to optimize for AI-generated answers, the rules shifted again. Sometimes I think the tech industry is trying to keep us so glued to our technology that we don’t stop long enough to go outside and ground ourselves. So before you read on, I have a statement to make: GET OUTSIDE. Take time to rest, breathe fresh air, and get away from your screens. The point of my blog articles is to keep you informed so you can track your own digital footprint with knowledge — and then make the best choices that align with your goals. You don’t have to do it all. But if you do, your brand will certainly benefit.
Neil’s agency analyzed 1,000 prompts across ChatGPT, Gemini, Grok, and Perplexity. What they found? AI engines aren’t pulling from official branded websites as much as you’d expect. They’re pulling from:
Forums and user-generated content
Blogs
News coverage
Social platforms
Your polished, perfectly optimized website? It ranked surprisingly low as a source.
That’s the gut-punch. And it’s also the opportunity — if you’re paying attention.
The Internet Has to Be Talking About You
Neil calls this “search everywhere optimization.” I love that phrase because it cuts right to it.
The question used to be: Can you rank?
Now it’s: Does the internet talk about you?
AI doesn’t just look for authoritative sources. It looks for consensus. Discussion. References. Content that people actually engage with. It’s scanning the full ecosystem — not just your homepage.
Which means your digital strategy can’t live in one place anymore.
What This Looks Like in Practice
Here’s the good news: there’s something in this for everyone. You don’t have to do all of it. But you do have to do more than just post on Instagram and hope for the best.
If you like to write: Blogging and Substack are exceptional right now. Long-form, expert-driven content is one of the primary sources AI engines are pulling from. Write it. Publish it. Make it genuinely useful.
If you’re a storyteller on camera: Get your video content on YouTube — not just Instagram Stories that disappear in 24 hours. YouTube is a search engine. It lives. It compounds. And AI is paying attention to it.If you want reach beyond your own audience: Look for industry publications, online magazines, or niche blogs where your expertise would genuinely help their readers. Reach out to the editor. Offer to contribute an article. Ask for a link back to your site and socials in return. Everyone is looking for good content — and this kind of digital PR is exactly what builds the credibility AI engines are scanning for.
Don’t overlook Pinterest. Especially if you sell products or create visual content. Pinterest drives traffic long after you pin something, and it builds brand awareness in a way most businesses are completely underestimating.
Make sure your house is in order first. Before you expand your footprint everywhere, audit what you’ve already got. Are your account names consistent across platforms? Is your brand voice the same on your website, your socials, your email list? Inconsistency confuses people — and it confuses AI.
The Invisible Brand Problem
Here’s what keeps me up at night on behalf of my clients: businesses that are doing good work but have a scattered, inconsistent, or nearly nonexistent digital footprint. They exist. They just can’t be found — not by Google, and increasingly, not by AI.
The term I keep using is “invisible brand.” And it’s not about being small. It’s about being silent.
AI engines are looking for brands the internet is actively talking about, referencing, and engaging with. If you’re only talking about yourself — especially on just one platform, without a clear voice — you’re not building that signal. You’re whispering into a void.
So What Do You Do?
Start with clarity. Lock down your brand voice and make sure it’s consistent everywhere your name appears. Then start expanding intentionally — not everywhere at once, but strategically, in the spaces where your audience actually lives and where your content can do the most work.
You don’t have to be everywhere. But you have to be somewhere beyond your own website.
The digital landscape is moving fast. The businesses that adapt — even incrementally — are the ones that stay visible. The ones that don’t? They’re going to find themselves increasingly invisible in a world where AI is answering the questions their customers are asking.
And that’s a hard hole to climb out of.
Thanks to Neil Patel for keeping me up to date on all things digital, and the very fast changes happening as a result of AI. I recommend subscribing to his YouTube channel.
Connie Cermak is a creative brand and marketing strategist at Social Nectar in Montana. She helps businesses build digital presence that actually works — clear, consistent, and built to be found.
AI is challenging us to rethink how we work and what we value.
AI is making waves: boosting productivity, triggering lawsuits, and reshaping the job market. It’s not just another tech trend—it’s a tidal wave of change that’s challenging us to rethink a lot of things. The question isn’t how much AI is changing things—I think we can all see it’s changing many of the ways we work. The real question is: how will we choose to use it, and how will we adapt?
As Seth Godin says, AI is a tool—like a pencil or a camera.
AI can amplify our work, but it can’t replace the deep, human work of choosing what matters and acting with integrity. Its value lies not in the tool itself, but in the questions we bring to it.
In a recent conversation in Purple Space, Seth Godin’s online community, he reminded us that AI has limitations. It can be confidently wrong, it can mislead, and it can’t (yet) fully grasp the nuance of empathy, generosity, or intent. But at the same time, it can spark ideas, shape drafts, and offer us perspectives we might not have considered.
Using AI: Two Stories, Two Outcomes
I had a minor conflict with a family member via text. We both wanted the same outcome, but it felt like we weren’t getting anywhere. Curious, I entered our text into AI using it as a “mirror” to objectively analyze our conversation. My prompt was simple: Help me understand what’s preventing us from reaching a solution. AI was able to show me that while we both want the same outcome, our vastly differing approaches were getting in the way. It highlighted our differing perspectives, allowing me to reframe my approach and find a quick resolution. Of course, I can’t control how she chooses to show up. But I could control my own response. I changed how I framed the conversation, and we reached a resolution quickly. My experiment enabled me to use AI as a guide for personal growth. Who knew?
In contrast, I have a client who uses AI as a “crutch.” Instead of using the tool to clarify her vision for a brand refresh, she became dependent on endless AI-generated options. This avoidance of decision-making ultimately stalled the project, proving that a tool can become an obstacle when it replaces human intention and commitment.
The Legal Landscape of AI
The most prominent legal battles against AI companies like OpenAI, Stability AI, and Meta center on copyright infringement. Artists, authors, and news organizations argue that their work was unlawfully used to train AI models without permission or compensation.
The New York Times vs. OpenAI & Microsoft: This high-profile case alleges that OpenAI and Microsoft used millions of copyrighted articles to train their models, and that the AI sometimes generates verbatim or near-verbatim copies of their content. The legal debate hinges on whether this use constitutes “fair use.”
Getty Images vs. Stability AI: The stock photo company sued Stability AI, claiming the company used millions of its copyrighted images to train the Stable Diffusion image generator. A key point of contention is that some AI-generated images have even replicated the Getty Images watermark, further supporting claims of direct infringement.
Authors Guild vs. OpenAI & Meta: A number of authors have filed class-action lawsuits, alleging that their books were used to train AI models without a license. This raises a crucial question: when a model ingests a book to learn, is it “reading” or “copying”?
These landmark cases will define the future of AI development, intellectual property, and what creators can expect in a world of increasingly sophisticated machines.
Things to Think About When Using AI
Seth’s encouragement to “stay open” has me wondering: am I limiting myself by only using AI for tasks I already know it can handle? For example, research, summaries, or blog drafts like this one? Am I letting AI keep me stuck instead of moving forward? Am I so quick to send my bullet points to AI to create my drafts that I’m no longer thinking with purpose and intention? This all got me thinking…
The beauty of participating in Purple Space with Mr. Godin is that I walk away with more questions than answers. Here are some ideas I’m still turning over in my mind—and maybe they’ll give you something to reflect on, too:
Am I using AI to simply speed up what I already do, or am I inviting it to expand what’s possible?
Do I treat AI as an authority, or do I remember it’s only as useful as the intent and clarity I bring?
How do I balance efficiency with depth, and productivity with purpose?
Where might I be holding back from experimenting with AI because of fear, skepticism, or habit?
Where might I be hiding in AI exploration instead of making choices and moving forward?
Am I open to the idea that my best use of AI hasn’t revealed itself yet?
Do I even WANT to use AI? (I’ll share my answer over coffee).
AI is changing the headlines—driving productivity, stirring up lawsuits, and reshaping the job market—but those big shifts are really just mirrors of the smaller choices we make every day. Whether we use AI as a tool for clarity and growth, or lean on it as a crutch that keeps us stuck, will shape not only our work but our future. The technology is here to stay. The question is whether we’ll let it amplify our best instincts—curiosity, generosity, and purpose—or our worst habits—avoidance, fear, and indecision. In the end, it’s not AI making the waves, it’s us deciding how to ride them.
By the way, the image I’ve featured in this blog is AI-generated. It’s the result of my prompt to create bees flying in a garden of colorful flowers, which included magenta and yellow. Truth be told: it freaks me out. The flowers look pretty realistic, but those bees!
That’s where I’ll leave it for today: curious, open, and a little unsettled. I’d love to hear your take on AI and how you’re currently using it to expand possibilities, or are you hiding behind it?
