Featured
Table of Contents
Especially CMOs and those responsible for a business's marketing success. AI-generated answers seem like a direct risk to the standard natural traffic websites utilized to get from search engines. Before, you had to click on a website to see the results. Today, LLMs just rip the content on websites and individuals no longer require to check out a website any longer.
While I personally think this threat is blown entirely out of proportion (based on information from sites I've personally seen), I don't believe it's a reason to overlook it entirely. From my own experience growing both blogs and YouTube channels, specifically to sell something, I can inform you that video converts way more than composed content.
And the viewer can choose up on more subtleties in your message. It's a lot easier to tell if someone is lying or filled with it if you can see their facial expressions and their intonation. YouTube needs to absolutely be in your SEO and material technique. Usage video as need generation and a way to develop trust with an audience.
And due to the fact that you have developed the trust with video, your standard SEO efforts will transform much better. But there's much more to it. Earlier this year, I had a hunch that if I turned a few of my best ranking blog posts into YouTube videos, and embedded them into my existing article, my post would rank even better.
I made a YouTube video about the subject, embedded it into that blog post, and I've been ranking # 1 considering that.
Keep concentrating on Google, which still owns 90% of search market share. Invest in AI search experiments if you have spending plan, however do not abandon what's actually driving traffic and conversions today. In 2025, we saw everyone speaking about how AI search was going to take over Google. Beyond simply SEO, the marketing neighborhood as an entire begun to get bombarded with influencers trying to ride the AI buzz train.
It ended up being hard to find trusted sources that weren't prejudiced or had a covert program to offer us something. While I do believe there are advantages to utilizing LLMs in our workflows, I do think it has been overhyped. And in 2026, I forecast numerous online marketers will recognize 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 ideal position to win the AI online search engine race. Browse behavior hasn't essentially moved far from Google. Beyond simply that, there are a couple of things that have actually rubbed me the incorrect way 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 content, tends to be shown 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 reveal less because the traffic is greater due to it being watered down 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 correctly (i.e.
I do still believe that think companies will business aside an experimental budget to spending plan things like ChatGPT apps and other AI SEO tools.
These techniques may work now in ChatGPT and other LLMs, however they're short-term plays that will eventually get penalized. Focus on white hat methods that develop genuine authority and trust over time instead of chasing quick wins that will not last.
ChatGPT and other LLM algorithms are not as mature. I can't name this person, however I satisfied an SEO director at a huge banking business.
And from there, they are utilizing their primary company domain, that has an extremely strong brand authority, and sending backlinks to the microsite. And this has resulted in greater rankings for their brand name in LLMs like ChatGPT.It blew my mind that big, respectable business are doing this. And I recognized just how much black hat (or grey hat) strategies are going on behind the scenes.
In 2026, I forecast these tactics will continue to occur. Till ChatGPT's algorithm gets as wise as Google's search algorithm. That appears like a long time from now. Anyways, I personally would not recommend taking part in this. It's short term thinking and your energy is finest invested in white hat marketing methods that can stand the test of time and improve your sites trust signals in time.
Concentrate on quality over quantity. Share real insights, utilize your own images and videos, and build topical authority in your specific niche. This is how solo creators and little groups can beat huge brands in 2026. Specific niche blogging is back baby. However with a twist. This is among the most significant SEO patterns for material marketing I'm seeing right now.
You need a real business, be it a newsletter service, a service-based organization, SaaS business, or ecommerce store. And after that you add on this human-centered niche blogging to the website to organically grow your core product/service offering. In 2026, I forecast that Google's algorithm will continue to get smarter about which web pages include AI material and which do not.
I know lots of individuals silently squashing it with AI created content (even going after top of funnel keywords). However what I am stating is that engaging, human material will outrank AI generated content with no initial insights. There are two routes I see with SEO's right now: Produce countless 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. Quality over amount. The first path is based on sheer volume, and can cause traffic development. However you do run the risk of a prospective algorithm update injuring your rankings. And anybody who composes better human material 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
Evaluating Modular vs Monolithic CMS Platforms
The Future of Full-Stack Development in 2026
Why Machine Learning Refines Modern Content Strategies
