The point is that the times we are living in require a little more than a more general knowledge of technical SEO.
2025 requires some specific actions for a few reasons.
AI is growing and is already incorporated into Google itself, where we constantly fight for positions and visibility. Now we need to take our content into AIs. Have you ever wondered how this is done?
We’ll talk about this topic right at the cell phone number database beginning of the text. And then we’ll go over some tips on structured data to ensure the best visibility on these platforms — especially on Gemini.
Starting with a more basic, but very necessary, topic:
The birth of AIO
2025 brings two main components related to AI search in search engines — and beyond.
The first point to understand is that AI is already integrated into Google itself with Gemini.
In other words: it has the same crawling capabilities that Google has, plus a few other particularities.
And besides Gemini itself, other AIs (like ChatGPT, for example) also have their own crawlers prowling the web and indexing content.
This is what gave rise to SEO. And now it is what is making AIO — Artificial Intelligence Optimization — take its place in the new SEO techniques.
This OpenAI documentation even makes it clear how these crawlers work.
These crawlers are what we used to call Google spiders — they are robots that read your content and index it.
Originally, it was indexed on Google pages, in a certain position, depending on some factors expressed in the EEAT standard.
Now, each AI has its own quality standards and its own robots, which effectively creates a new concern and a new area of activity in digital marketing: technical SEO for AI.
This SEO is related to how easily these robots will index your content in AIs.
You can follow the crawler documentation directly on the documentation page of the main AIs on the market:
OpenAI ;
CommonCrawl ;
Perplexity ;
Microsoft CoPilot ;
Most of these AIs use these crawlers but do not have their own search system.
Only OpenAI has its SearchGPT , which is still in the development and testing phase.
AI Optimization or Search Everywhere Optimization ?
If you search the internet for AIO or LLMO — Large Language Model Optimization — the results can be a little alarming.
In fact, I even need to share a print of one of these results:
Notice how the “premise” of this article is quite biased: search is dead. Is that really true?
According to Search Engine Journal's 2024 year-end estimates, ChatGPT has about 3.7% of all Google traffic, making it the eleventh most-viewed site on the internet.
The information is from Similarweb:
So yes, ChatGPT and AIs are one of the most viewed websites in the world, but it still lags behind traditional content aggregators, including Wikipedia.
And it's worth noting that not all of the traffic ChatGPT has comes directly from searches — people use it for a variety of reasons.
So, saying that search is dead is a huge exaggeration, common to the corporate tech hype cycle we are living.
So there is no reason to “swap” SEO for AIO or any other name that tries to explain the need for technical SEO for AI.
In fact, it is necessary to include this SEO for AI within the toolbox we already have, and change not the acronym SEO, but rather what it means.
Instead of Search Engine Optimization , SEO is now called Search Everywhere Optimization .
In the next topics we will talk about real actions, beyond the hype , that determine how this new SEO should be done. Let's go together:
The first steps in technical SEO with a focus on Search Everywhere
First of all, it is important to define your company's position on AI.
There are brands that deal with sensitive data or highly specialized content. It is their right not to put their content on AI.
And this is possible to do with most AIs. The links to the documentation we included provide commands to include in your robots.txt that block AI crawling .
In the same way, some codes can also block Google's own crawling , if necessary.
But if your need is just the opposite — to embrace Search Everywhere for good — you'll need to take some technical SEO actions to the next level.
Nothing too complicated. Here are 5 technical SEO actions focused on AI and beyond. Find out more.
Structured data and clean HTML are more important than ever
One of the most important issues in technical SEO is working with on-page SEO. And one of the most classic ways to work with this is through schema markup .
In this linked text we bring ten different schema models , including reviews, product descriptions, company descriptions and, of course, those used by Google for snippets.
However, the same concerns we have with schemas need to be taken into account in the website's HTML itself.