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Why GEO and AEO Specific Services Aren't New...

You may have heard terms such as AEO ( Answer Engine Optimisation) & GEO (Generative Engine Optimisation) being thrown around in SEO circles recently. Companies are jumping on terms to try to sell specific services with the intention of “ranking higher” in AI overviews and large language models.
 
The reality of which is that traditional SEO techniques are the main reason that content surfaces throughout LLM’s.
 
There’s a massive misconception that people think LLM’s use their own form of search engine to find results, while this is incorrect, at least for now.
 
They actually use something called Quary-Fan-Out to filter and show results to users' inquiries. Essentially, in layman's terms, the LLM is using search engines and other sources to go ahead and pull results for you.
 
This can be seen by looking at the path that is taken from your favourite large language model and noticing the query that is being fanned out to show you the result.
Backlinko Ai Overview
Ahrefs Query Fan Out

Ai Search Snake Oil

There’s a massive push around AEO and GEO terms at the moment, with agencies selling specific products and services, saying they can gain exposure in LLMs.
 
The truth is that traditional SEO fundamentals remain the same and serve as one of the main catalysts for surfacing results in AI overviews and driving results.
 
The usual SEO myths apply, with the upselling of fresh content, copywriters, and saying that you have to write in a certain way to increase the probability of appearing higher in the search.
 
In reality, if you have a strong website authority ranking for search terms and visibility across multiple community sites and platforms, you likely will appear in LLM’s as a result.
 
As these models pull data from various points, appearing at the top of informational and commercial results already signals to LLM’s multiple high-quality sources, which in turn can help with ranking for intent keywords.
 
Therefore, traditional SEO principles authority, relevance, and content help to rank in AI overviews and surface in LLMs.

So Do I Need To Change Anything?

Average Age of Cited Content

Organic Google Results

1,416 days old

Google AI Overviews

1,432 days old

ChatGPT Citations

958–1,023 days old

According to an Ahrefs report, Google AI Overviews more often include references to older content than other AI systems and in many cases, even older content than Google's organic results.

The report shows that LLM preference for newer content is a myth, and discusses how sites which are years old and which have acquired some authority can still be presented in an AI overview even if they haven't been published in the past few years.

Google's AI Overviews still reference a lot of the older, authoritative articles identified by Ahrefs, indicating that trust, relevance and consistent, quality content.

Content should be written to answer user needs and be accurate and evergreen rather than created with the primary focus of earning AI Overviews.

While updating and adding information is fine, overhauling previously successful content can harm your historically built authority signals.

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