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FULL TRANSCRIPT
The HR Managers Guide on How to Hire an SEO Expert in 2026 - Navigating the New AI Era
If you’re hiring an SEO right now, you’re entering one of the fastest-changing areas in digital marketing - transformed by both artificial intelligence and automation. Some of this podcast episode may sound a bit technical, but stay with me here, and maybe even listen twice.
In this episode, you’ll learn how to identify real expertise in a crowded field, apart from just namedropping new acronyms like GEO, AEO, and AIO alone. We’ll cover the shift from keywords to context, the rise of AI-driven workflows, and why hands-on experience still matters more than ever.
You’ll discover how to evaluate different roles, spot genuine thought leadership through a candidate’s digital footprint, and understand when specialization is an asset - or a blind spot.
We’ll also talk about the importance of language fluency, staying current with industry updates, and how the best search pros connect optimization directly to business goals and revenue.
By the end, you’ll know more about what to look for, what to avoid, and how to find an expert who can help your organization thrive.
Artificial intelligence has changed the game for search pros - from how search engines interpret information to how content gets created, optimized, and distributed. Yet, most hiring managers are still using outdated criteria when evaluating search talent. It is important to note that while many things have changed, it is all still largely based on the core principles of SEO. But search pros of the past must have new perspectives and experience to succeed, and this perspective is not only critical - it is imperative.
This outlines the main function of a good human resource professional tasked with filling an SEO position: Understanding the core need, understanding a candidates core skill set and experience, and making the right choice for the job at hand.
There are many objective and subjective considerations for hiring an expert, literally too many to cover in a single podcast episode. But let’s start with understanding the conceptual shift from keywords to context, which can quickly shed a great light on how prepared a search professional is for future challenges. This concept is at the crux of understanding the new age of AI-based retrieval, and will help you qualify the best candidates. A candidate speaking in these terms can help you understand if they are on top of current trends, and thinking toward the future.
A decade ago, search revolved around ranking for the right phrases. But now, search systems - powered by massive AI models—understand meaning, entities, relationships, and user intent.
So while many newcomers are still chasing keywords, true professionals are shaping context - using structured data, embeddings, content entities, engaging topics, and brand signals to train search engines on what their business represents. This does not negate the fact that keywords and keyphrases are still considerations in modern search, it is just that the way we work with them has changed.
And that’s where real experience becomes irreplaceable.
Someone who’s lived through multiple Google updates, seen the impact of automation done right and wrong, and understands how content, links, and user signals interplay over time - has instincts you can’t learn from a quick course or prompt.
Large language models can speed things up, but it can’t replace judgment. Ultimately, they are prediction engines that set the stage for human judgment, and that is not going-to change in the near future. And that again is where experience is critical.
Let’s break down some of the fundamental modern SEO roles you’ll encounter.
The Technical SEO is now part developer, and part data analyst, managing everything from structured
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