Featured
Table of Contents
Particularly CMOs and those accountable for a business's marketing success. AI-generated responses appear like a direct danger to the traditional natural traffic sites used to receive from search engines. Before, you needed to click on a website to see the outcomes. Today, LLMs simply rip the material on sites and people no longer need to go to a website any longer.
While I personally think this danger is blown completely out of proportion (based upon information from websites I have actually personally seen), I do not think it's a reason to ignore it completely. From my own experience growing both blog sites and YouTube channels, specifically to offer something, I can inform you that video converts way more than composed material.
It's a lot simpler to inform if somebody is lying or complete of it if you can see their facial expressions and their tone of voice. YouTube needs to absolutely be in your SEO and content technique.
And due to the fact that you have developed the trust with video, your standard SEO efforts will transform much better. There's even more to it. Previously this year, I had an inkling that if I turned some of my finest ranking blog site posts into YouTube videos, and embedded them into my existing post, my blog posts would rank even better.
The Efficiency Paradox: Managing Massive Nashville Material HubsI made a YouTube video about the subject, embedded it into that blog post, and I've been ranking # 1 considering that.
Keep focusing on Google, which still owns 90% of search market share. Buy AI search experiments if you have spending plan, however don't desert what's really driving traffic and conversions today. In 2025, we saw everyone speaking about how AI search was going to take control of Google. Beyond simply SEO, the marketing community as an entire begun to get bombarded with influencers attempting to ride the AI hype train.
It became hard to discover relied on sources that weren't biased or had a prejudice to sell us something. While I do believe there are advantages to utilizing LLMs in our workflows, I do believe it has actually been overhyped. And in 2026, I predict lots of marketers will realize that ChatGPT and Perplexity are just a little part of the SEO market.
Google still dominates 90% market share and with its AI Mode and AI Overviews, it's in the perfect position to win the AI online search engine race. Search behavior hasn't essentially moved away from Google. Beyond just that, there are a couple of things that have actually rubbed me the wrong method about the AI SEO trend.
What these online marketers do not recognize is that Things like homepages, pricing pages, or bottom of funnel content, tends to be shown in ChatGPT. The informational top of funnel material is "consumed up" by LLMs and revealed to users without anywhere to click.
If you were to take that same idea over to Google, you would see the exact same conversion rates. Google's conversion rates show less since the traffic is higher due to it being watered down by all the top of funnel content that remains in the formula. Other things like how ChatGPT can make stuff up, it never completely follows triggers properly (i.e.
I do still think that larger business will reserve an experimental budget plan to check things like ChatGPT apps and other AI SEO tools. But in 2026, I predict people will recognize enhancing for Google will enable them to reveal up in ChatGPT and Perplexity as well. Just take a look at ChatGPT Atlas or Perplexity's Comet web browsers.
Don't do it. These strategies might work now in ChatGPT and other LLMs, but they're short-term plays that will ultimately get penalized. Focus on white hat techniques that develop real authority and trust with time instead of chasing fast wins that will not last. The 2000s are back. Scammy keyword packing tactics, spending for low-quality backlinks, shipping thousands of worthless posts all in the name of ranking high.
Now, the algorithm is fully grown enough to overlook all that nonsense. However, ChatGPT and other LLM algorithms are not as fully grown yet. I can't name this individual, but I fulfilled an SEO director at a big banking business. This individual told me they (and all their rivals) are creating microsites (like little blog sites) on various domains.
And from there, they are utilizing their main business domain, that has a very strong brand authority, and sending out backlinks to the microsite. And this has actually resulted in greater rankings for their brand in LLMs like ChatGPT.It blew my mind that huge, reliable companies are doing this. And I recognized just how much black hat (or grey hat) techniques are going on behind the scenes.
In 2026, I anticipate these tactics will continue to occur. Till ChatGPT's algorithm gets as wise as Google's search algorithm.
Share real insights, use your own images and videos, and develop topical authority in your specific niche. This is how solo creators and small groups can beat substantial brands in 2026. This is one of the most significant SEO patterns for content marketing I'm seeing right now.
You need a genuine business, be it a newsletter organization, a service-based company, SaaS business, or ecommerce shop. And then you add on this human-centered specific niche blogging to the website to naturally grow your core product/service offering. In 2026, I anticipate that Google's algorithm will continue to get smarter about which websites contain AI material and which don't.
I understand lots of individuals silently crushing it with AI generated material (even going after top of funnel keywords). What I am stating is that engaging, human content will outrank AI generated material with no original insights. There are 2 paths I see with SEO's today: Produce countless AI-generated blog site posts and get them to rank in the middle/bottom of page 1.
Produce a hundred human blog posts and get them to rank at the top of the very first page. And anybody who writes much better human material will rank greater in positions 1-3. The 2nd route is slower, however can yield higher ranking positions and more trust with readers.
Latest Posts
Comparing Old Tactics and Modern AI Methods
Why Machine Learning Reshapes Modern Marketing Workflows
Scaling Enterprise System Frameworks in 2026