I've been reading everything I can get my hands on about AI and SEO optimization. The reality? There's no perfect answer. Each AI is probably calibrated differently. The "experts" are making educated guesses at best, and wild speculation at worst.
So what do you do when you're running a business and everyone's got an opinion but nobody's got the facts?
You do what you should have been doing all along.
The Problem: Everyone's an Expert, Nobody Has Answers
Here's what we actually know: Not much.
ChatGPT, Claude, Perplexity, Google's SGE—they're all different. They probably rank things differently. They definitely serve up results differently. And the people telling you they've "cracked the code" on AI optimization? They're selling you something.
I see it everywhere. LinkedIn posts promising revolutionary AI-first strategies. Consultants hawking courses on "the secret to AI rankings." Agencies pivoting their entire approach based on anecdotal evidence from a handful of tests.
Meanwhile, business owners are stuck in the middle, trying to figure out what any of this means for their bottom line.
The Temptation to Panic
I get it. Your competitor's blog post is showing up in AI results and yours isn't. Some marketing guru on LinkedIn is promising "AI-first SEO strategies" that will revolutionize your business. Your team is asking what your AI strategy is.
The pressure to do something is real. But doing the wrong something is worse than doing nothing.
I watched a client completely restructure their content strategy last year because they read that "AI prefers longer content." They turned their crisp, conversion-focused pages into meandering 3,000-word monsters that nobody wanted to read. Their traffic dropped 40% in three months.
That's what happens when you make decisions based on fear instead of principles.
What Actually Matters (And What Doesn't)
Let me tell you what I tell my clients: Create good content. Create thoughtful content. Create useful pages for your users. Focus on pages that convert. Make every page matter.
Sound familiar? It should. It's the same advice I was giving five years ago.
The Things That Haven't Changed
User intent is still user intent. People still have problems they need solved. They still want answers that actually help them. Whether they're asking Google or asking ChatGPT, they want the same thing: useful information that gets them closer to their goal.
Think about it. When someone asks an AI about your industry, what are they really looking for? They want to solve a problem, make a decision, or understand something better. The delivery mechanism changed, but the fundamental need didn't.
AIs are trained to identify and surface valuable content. If your content helps people, it's probably helping AIs understand what you're about too. If your content is thin, repetitive, or exists just to game search engines, AIs will probably figure that out too.
What We're Seeing (Not Promising)
There's some evidence—some—that longer, more comprehensive content performs better in AI results. There's also some indication that top-of-funnel content might not carry the same weight. But I'm not restructuring entire content strategies based on "some evidence."
Here's what I am seeing consistently: content that thoroughly answers questions tends to get cited more often. Pages that provide context and depth alongside their main points show up more frequently. Sites with clear authority signals and good technical foundations seem to have an advantage.
But you know what? That's always been true. Good content has always outperformed thin content. Comprehensive answers have always beaten surface-level ones. Technical excellence has always mattered.
Why We Focus on the Long Game
At Loupe & Blade, we've been doing this for over 15 years. We've seen Google's algorithm change dozens of times. We've watched social media platforms rise and fall. We've navigated voice search, mobile-first indexing, and every other "revolution" that was supposed to change everything.
Here's what we learned: The fundamentals survive. The tactics come and go.
Remember when everyone was obsessing over exact-match domains? Or when keyword density was supposedly the secret to rankings? Or when social signals were going to revolutionize SEO? Most of those tactics either stopped working or became table stakes.
But you know what kept working? Understanding user intent. Creating genuinely helpful content. Building sites that load fast and work well. Earning trust and authority in your space.
A Story About Staying Steady
In 2019 I worked at Inverse.com when their organic traffic was stuck at 3 million monthly visits. The team was frustrated. They'd tried different content strategies, chased algorithm updates, and experimented with every growth hack they could find.
We didn't chase the latest trends. We didn't pivot to some revolutionary new strategy. We did the work: comprehensive keyword research, technical optimization, user-focused content strategy. We looked at what their audience actually needed and built content that served those needs better than anyone else.
Twenty-four months later, they're at 15 million monthly visits.
That's not because we had some secret AI optimization playbook. It's because we understood what Google was trying to do: serve users better content. We built a foundation that could adapt to whatever came next, including AI.
The same principles that drove that growth are the ones that position content well for AI discovery. Comprehensive, authoritative, user-focused content doesn't become less valuable when the discovery mechanism changes.
The Practical Reality: What to Do Right Now
Stop waiting for the perfect AI strategy. Start building better content.
Look, I understand the frustration. You want concrete steps. You want to know exactly what to optimize for and how to measure success. The honest answer is that we're all figuring this out as we go. But that doesn't mean you should sit on your hands.
The Framework That Actually Works
Audit what you have. Look at your existing content with fresh eyes. Does it comprehensively answer the questions your customers are asking? If someone landed on your page from an AI search result, would they get what they need? If not, fix it.
I'm not talking about stuffing more keywords in or hitting some arbitrary word count. I'm talking about genuinely useful content. Does your "About" page actually explain what you do and why someone should care? Does your service page address the real concerns and questions prospects have? Does your blog content provide insights people can't get anywhere else?
Think like your customer, not like an algorithm. Your customer doesn't care whether they found you through Google or ChatGPT. They care whether you solved their problem. Build for that.
When we worked with Equip Health, we didn't start by trying to game any particular system. We started by understanding what their potential customers were going through. What questions did they have? What concerns kept them up at night? What would actually help them make a decision?
We built content and landing pages around those real human needs. The result? Their customer acquisition cost dropped from $250 to $118 in six months. That's not because we cracked some AI code—it's because we made it easier for people to find what they needed and take action.
Make your site work. Fast loading times, clean structure, easy navigation. This isn't glamorous work, but it's the foundation everything else is built on.
AIs are probably evaluating user experience signals just like search engines do. A site that's slow, confusing, or broken on mobile isn't going to perform well anywhere. But a site that works beautifully for humans will likely work well for AIs too.
Create content that converts. Every piece of content should have a purpose. If you can't explain why a page exists and what it's supposed to accomplish, delete it or fix it.
This is where I see most businesses waste their effort. They create content because they think they should, not because it serves a specific goal. They write blog posts that go nowhere, build pages that don't convert, and wonder why their content marketing isn't working.
AI discovery might bring people to your content, but that's worthless if the content doesn't do anything once they're there.
What Not to Do
Don't abandon SEO for AI optimization. SEO is still a massive acquisition channel. Google still drives billions of searches every day. Organic search still converts better than most other channels. Don't throw that away chasing something that's still evolving.
Don't chase every new trend some consultant is pushing. I've seen businesses completely overhaul their strategies based on a single case study or anecdotal report. That's not strategy—that's panic.
Don't create content just for AIs without thinking about actual humans. If your content reads like it was written by a committee to check boxes for an algorithm, people will notice. And if people don't engage with it, AIs probably won't either.
Most importantly: Don't panic. The businesses that thrive during uncertain times are the ones that stay focused on fundamentals while everyone else is chasing shiny objects.
Looking Forward: Building for What's Coming (Without Knowing What It Is)
The truth is, we don't know what AI optimization will look like in two years. Hell, we barely know what it looks like now. But we do know this: the companies that build sustainable, user-focused strategies will be fine regardless of what changes.
I think about it like this: if you built a business that genuinely serves your customers better than anyone else, you'll adapt to whatever comes next. If you built a business around gaming systems and exploiting loopholes, every change is an existential threat.
The Integration Reality
SEO and AI optimization aren't competing strategies—they're complementary. Good SEO gets you discovered. Good content gets you recommended. Both matter.
The mistake I see businesses making is treating this like an either/or decision. They think they need to choose between optimizing for search engines or optimizing for AI. But the fundamentals are the same: understand what people need, create content that serves those needs better than anyone else, and make it easy to find and use.
That mental health company I mentioned didn't succeed because we picked the right optimization strategy. They succeeded because we helped them understand their customers better and built systems that served those customers more effectively.
The tactics change. The principles don't.
Steady Hands in Choppy Waters
I spent most of my childhood watching my father make decisions based on fear and incomplete information. It never worked out well for him. He'd hear something on the news, read something in a magazine, or get advice from someone who claimed to know better, and he'd completely change course. He was always reacting, never building.
Running a business in the age of AI feels similar sometimes. Everyone's got an opinion. The stakes feel high. The pressure to do something—anything—is real.
But the businesses that succeed are the ones that make decisions based on principles, not panic. Focus on your customers. Create content that serves them. Build systems that convert them. Everything else is just noise.
I've been in this industry long enough to see a lot of "revolutionary" changes. Most of them weren't as revolutionary as promised. The ones that actually mattered didn't kill the fundamentals—they reinforced them.
AI is real. It's changing how people discover and consume information. It's going to keep evolving in ways we can't predict. But it's not the end of everything we know about marketing. It's just the next thing to adapt to.
And we're pretty good at adapting.
If you need help filtering out the noise and building something sustainable, that's what we're here for. We've been navigating uncertainty in this industry for decades. We know the difference between what matters and what doesn't. Get in touch and let's talk about what actually works.