{"id":3264,"date":"2025-01-20T21:05:15","date_gmt":"2025-01-20T21:05:15","guid":{"rendered":"https:\/\/getleadster.com\/blog\/?p=3264"},"modified":"2025-01-20T21:05:15","modified_gmt":"2025-01-20T21:05:15","slug":"ai-seo","status":"publish","type":"post","link":"https:\/\/getleadster.com\/blog\/ai-seo\/","title":{"rendered":"AI SEO: How to Do It? How to Appear in AI?"},"content":{"rendered":"\n

Indexation on Google depends on SEO for Google. And what about indexation for AI? Simple: it also depends on AI SEO.<\/strong><\/p>\n\n\n\n

This is one of the topics few people are discussing lately. In fact, very few are even searching on Google about how to do AI SEO.<\/p>\n\n\n\n

During keyword research for this article, we found that fewer than 100 people search for these terms monthly.<\/p>\n\n\n\n

But AI continues to advance. And it\u2019s always in search of new data\u2014often with urgency.<\/p>\n\n\n\n

Today, we\u2019ll discuss the mechanism behind AI\u2014what it considers valid to build its responses\u2014and how you can make your content appealing to it.<\/p>\n\n\n\n

Let\u2019s dive into AI indexation. But first, let\u2019s understand its current state.<\/strong><\/p>\n\n\n\n

AI Is Hungry for Data\u2014and It\u2019s Becoming Scarce<\/h2>\n\n\n\n
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The primary engine of a Generative AI system\u2014especially NLP models (Natural Language Processing<\/a>)\u2014needs data to generate results.<\/p>\n\n\n\n

This isn\u2019t news. However, we\u2019ve always assumed these data sources were virtually infinite\u2014while AI learns from a dataset, more data is created and made available daily.<\/p>\n\n\n\n

The issue is that AI is beginning to face problems with its data sources.<\/strong><\/p>\n\n\n\n

Recently, several datasets\u2014entities that aggregate high-quality links and data and either provide or sell them\u2014are imposing restrictions on how their content can be accessed.<\/p>\n\n\n\n

In a recent article by The New York Times<\/em>, many of these aggregators of valuable content are completely closing their doors to AI.<\/p>\n\n\n\n

For SEOs reading this, here\u2019s a key detail: these datasets are blocking AI from accessing their content directly via robots.txt. AI is completely barred from even knowing what these datasets contain.<\/p>\n\n\n\n

Some data sources are going even further, filing lawsuits against OpenAI\u2014as was the case with The New York Times<\/em> and several other content creators.<\/p>\n\n\n\n

AI needs quality data. But we\u2019re venturing a bit beyond the main focus here.<\/strong><\/p>\n\n\n\n

Regarding SEO, SEM, and search in general<\/a>, AI doesn\u2019t need deeply detailed information on specific topics. But it still needs some level of data.<\/p>\n\n\n\n

Let\u2019s pause to discuss this briefly before diving into how to actually do AI SEO.<\/p>\n\n\n\n

The Nature of Generative AI Data for Search<\/h3>\n\n\n\n

The shortage of data AI is facing\u2014and will continue to face\u2014is not directly tied to our work in organic traffic and content marketing.<\/p>\n\n\n\n

We\u2019re constantly producing content, and we won\u2019t stop anytime soon.<\/p>\n\n\n\n

The current landscape is straightforward. AI exists, and it\u2019s fueled by the content brands produce.<\/strong><\/p>\n\n\n\n

What\u2019s happening now is that new AI-driven search systems are emerging\u2014highlighting tools like SearchGPT and Google Gemini, now integrated into Google searches worldwide.<\/p>\n\n\n\n

These systems have a ranking structure similar to Google\u2019s, and they cite sources that help compose their responses.<\/p>\n\n\n\n

This illustrates the need for AI SEO \u2014 to be one of these authoritative source links.<\/p>\n\n\n\n

Another critical reason: controlling the narrative about your niche and brand.<\/strong><\/p>\n\n\n\n

If you operate in a very specific niche, you need AI to deliver accurate answers to simple questions. It\u2019s a business necessity.<\/p>\n\n\n\n

For example, if you work with large-scale PEAD plumbing installations, AI must be able to inform users about PEAD\u2019s characteristics and why it\u2019s more suitable than other materials in this context.<\/p>\n\n\n\n

This underscores the need for AI SEO. And now is the time\u2014while resources are still in their infancy and the competition isn\u2019t as fierce as SEO was years ago.<\/p>\n\n\n\n

How to Do AI SEO<\/h2>\n\n\n\n
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Technically, there are no fully established practical methodologies for AI SEO yet.<\/strong><\/p>\n\n\n\n

For instance, conventional SEO for search engines came with some rules that are still used today.<\/p>\n\n\n\n

Take the structuring of headings, for example, or the use of backlinks to make your site more attractive to search engines.<\/p>\n\n\n\n

AI also has its own rules, which, incidentally, are quite similar. Subheading placement, clean code, and even some aspects of E-E-A-T are shared between conventional Google SEO and AI content cataloging.<\/p>\n\n\n\n

This is for a straightforward reason: much of the on-page SEO work relates to the user experience when reading a particular result.<\/strong><\/p>\n\n\n\n

The same applies to AI SEO. The adjustments needed to appear in AI systems are not overly complex or entirely new most of the time.<\/p>\n\n\n\n

Generally, you\u2019ll need to follow principles tied to your editorial and research realities, along with a few technical adjustments related to structured data, particularly for Gemini.<\/p>\n\n\n\n

Let\u2019s break down each point:<\/p>\n\n\n\n

Maintain Strong Rankings on Google<\/h3>\n\n\n\n

The first step is simple: to have your content scanned and indexed by any AI, the best strategy is to continue ranking on the first page of search engines, especially Google.<\/p>\n\n\n\n

It\u2019s no secret that Google was ChatGPT\u2019s primary source of information.<\/strong><\/p>\n\n\n\n

Long before it faced challenges with reliable data sources, Google had been nearly fully scanned and indexed by most NLPs.<\/p>\n\n\n\n

GPT-4, for instance, has direct access to Google, even being able to list the top 10 results for a specific keyword:<\/p>\n\n\n\n

So, the best approach is to keep investing in creating SEO-optimized content to appear in AI results.<\/p>\n\n\n\n

Some claim that Google will become obsolete because of AI, but it hasn\u2019t yet, and it remains the primary source of information that AI uses for the vast majority of results.<\/strong><\/p>\n\n\n\n

In fact, when we mentioned earlier the data scarcity AI faces, a significant part of this blackout occurred due to Reddit’s request to block indexing.<\/p>\n\n\n\n

For those who frequently use Google, Reddit is a familiar presence. As a constantly evolving database, it began dominating the top search results in English.<\/p>\n\n\n\n

It didn\u2019t take long for AI to start using Reddit as a source:<\/p>\n\n\n\n

In fact, Google had to strike a $60 million deal with Reddit to use those posts.<\/p>\n\n\n\n

So, continuing to focus on classic SEO with the goal of appearing in the top positions on Google is, at least for now, the dominant factor in AI SEO.<\/p>\n\n\n\n

This even has a name: Search Everywhere Optimization. More about that in the next topic.<\/p>\n\n\n\n

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The New SEO\u2014Search Everywhere Optimization<\/h3>\n\n\n\n

What we need to understand now is that SEO is no longer just an effort to simply appear on Google.<\/p>\n\n\n\n

It is an effort to make your content appear everywhere \u2014 on Google, in AIs, and anywhere else where search exists.<\/p>\n\n\n\n

That last sentence is important. The arrival of AI has challenged the greatest institution of the internet \u2014 the famous \u201cGoogle it.\u201d<\/p>\n\n\n\n

Everyone now understands that Google is no longer the only way to get answers to their questions. It is a means, primarily aimed at those seeking responses written by humans in article format.<\/p>\n\n\n\n

What the new SEO proposes is that each piece of content exists within a search ecosystem, encompassing much more than just the good old Google.<\/strong><\/p>\n\n\n\n

\u201cWriting a blog\u201d used to be the standard for a traffic strategy, but that is now changing. It\u2019s necessary to write an article. And that article needs to be broken down into:<\/p>\n\n\n\n