Featured
Table of Contents
Especially CMOs and those accountable for a company's marketing success. AI-generated answers appear like a direct danger to the traditional organic traffic sites used to receive from online search engine. Before, you needed to click a site to see the results. Today, LLMs simply rip the content on websites and individuals no longer need to check out a website any longer.
While I personally believe this risk is blown entirely out of proportion (based on data from sites I've personally seen), I do not believe it's a reason to disregard it totally. From my own experience growing both blog sites and YouTube channels, specifically to sell something, I can tell you that video converts way more than composed material.
It's a lot easier to inform if someone 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 material method.
And because you have actually developed the trust with video, your standard SEO efforts will convert much better. But there's even more to it. Previously this year, I had a hunch that if I turned some of my finest ranking blog site posts into YouTube videos, and embedded them into my existing blog site posts, my blog posts would rank even much better.
I used rank between 2-3 for the keyword "AI marketing tools." I made a YouTube video about the topic, embedded it into that blog post, and I have actually been ranking # 1 given that. So in 2026, think about YouTube videos as a way to intensify your SEO post to rank even much better.
In 2025, we saw everybody talking about how AI search was going to take over Google. Beyond just SEO, the marketing community as a whole started to get bombarded with influencers attempting to ride the AI buzz train.
It ended up being hard to discover relied on sources that weren't prejudiced or had a prejudice to sell us something. While I do believe there are advantages to using LLMs in our workflows, I do think it has actually been overhyped. And in 2026, I predict lots of online marketers will realize that ChatGPT and Perplexity are simply a little part of the SEO market.
Building Next-Gen Search Systems for TomorrowGoogle still dominates 90% market share and with its AI Mode and AI Overviews, it's in the best position to win the AI search engine race. Search habits hasn't essentially moved far from Google. Beyond just that, there are a couple of things that have rubbed me the incorrect method about the AI SEO trend.
Some claim ChatGPT has a 16% discussion rate and is better by more than 2X compared to Google. However what these marketers don't realize is that Things like homepages, pricing pages, or bottom of funnel material, tends to be displayed in ChatGPT. The informative top of funnel content is "consumed up" by LLMs and revealed to users without anywhere to click.
Google's conversion rates show less since the traffic is higher due to it being diluted by all the top of funnel content that is in the formula. Other things like how ChatGPT can make things up, it never ever completely follows prompts properly (i.e.
I do still believe that think companies will business aside an experimental budget to test things like ChatGPT apps and other AI SEO tools.
Do not do it. These strategies may work now in ChatGPT and other LLMs, however they're short-term plays that will eventually get penalized. Concentrate on white hat strategies that develop genuine authority and trust in time instead of chasing after fast wins that won't last. The 2000s are back. Scammy keyword packing strategies, spending for low-quality backlinks, shipping countless useless articles all in the name of ranking high.
ChatGPT and other LLM algorithms are not as fully grown. I can't call this individual, but I fulfilled an SEO director at a big banking company.
And from there, they are using their primary business domain, that has a very strong brand authority, and sending out backlinks to the microsite. And this has actually led to higher rankings for their brand in LLMs like ChatGPT.It blew my mind that substantial, credible companies are doing this. And I understood just how much black hat (or grey hat) methods are going on behind the scenes.
In 2026, I anticipate these methods will continue to occur. Up until ChatGPT's algorithm gets as wise as Google's search algorithm. But that appears like a very long time from now. Anyways, I personally would not recommend engaging in this. It's brief term thinking and your energy is finest invested in white hat marketing techniques that can stand the test of time and improve your sites trust signals gradually.
Concentrate on quality over amount. Share genuine insights, use your own images and videos, and develop topical authority in your niche. This is how solo creators and small groups can beat huge brands in 2026. Specific niche blogging is back child. With a twist. This is among the biggest SEO trends for material marketing I'm seeing today.
You require a genuine company, be it a newsletter business, a service-based service, SaaS business, or ecommerce store. And after that you include on this human-centered niche blogging to the site to organically grow your core product/service offering. In 2026, I forecast that Google's algorithm will continue to get smarter about which websites include AI content and which do not.
In reality, I understand loads of people quietly crushing it with AI created content (even pursuing top of funnel keywords). However what I am stating is that engaging, human content will outrank AI produced material without any original insights. There are 2 paths I see with SEO's today: Produce thousands of AI-generated post 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 first page. And anyone who composes better human content will rank greater in positions 1-3. The 2nd route is slower, but can yield higher ranking positions and more trust with readers.
Latest Posts
Understanding Future Search Algorithms for Growth
Key Development Frameworks for Watch in 2026
Why Future of Enterprise Scalability
