SEO Unfiltered

Ep 5.1: How to E-E-A-T Your Content for Better AI Visibility in 2026

Geeky Tech Season 5 Episode 1

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0:00 | 11:06

Genny is back for season 5 with a solo rant/pep talk about E-E-A-T, AI, and why geologists everywhere probably want their acronym back. In this episode, we dust off Experience, Expertise, Authoritativeness, and Trustworthiness and give the whole framework a shiny new GEO/AI visibility twist.

What this episode is about:

  • How E-E-A-T translates into actual, real-world content instead of fluffy theory.
  • Why authority still matters, but the way AI systems understand and score that authority is changing.
  • How Retrieval-Augmented Generation (RAG) works in plain English, and what that 0.6 “confidence threshold” means for whether your content is visible in AI answers… or invisible.

In 2026, E-E-A-T means...

  • Experience: Content that proves you’ve actually done the thing—case studies, test results, lived stories—not just reworded someone else’s blog.
  • Expertise: Credentials, track record, and depth of knowledge that show you’re the person people (and robots) should listen to, especially for YMYL topics.
  • Authoritativeness: Other trustworthy people and brands cite you, link to you, and generally treat you like the grown-up in the room.
  • Trustworthiness: All the “this site doesn’t feel shady” signals—technical, legal, reputational, and editorial—that give Google and AI the confidence to surface your content.

One word that keeps coming up in this episode is schema

  • Review, HowTo, Person, Organisation, and Review schema all help translate your credibility into machine-readable signals.
  • If markup makes your eyes glaze over, we strongly suggest looping in your SEO team or developer and treating schema as non-negotiable infrastructure.


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Thanks for listening 🤓

Genny: Welcome to season 5, episode 1 of SEO Unfiltered, where we (well, mostly me, to myself) talk about all things related to SEO and GEO. Now, lately, I admit that SEO as a topic has sort of taken a back seat to the hot topic of AI and GEO, but that just goes to show how abuzz marketers are about this massive shift. 

Just a little shy of two years ago, we did an episode on the first half of EEAT; EEAT being, of course, experience, expertise, authoritativeness, and trustworthiness—but we never actually made it to the second-half episode because we quickly realised we needed to recalibrate in the wake of generative engine optimisation or AI Overview optimisation, or answer engine optimisation or LLM optimisation— believe it or not, there’s still no consensus on what to call this mofo, but all I know is geologists and geographers all over the world want their three letters back. 

All that to say, we are going back to the topic of EEAT but with a GEO twist because while search behaviour is changing, the call for quality content is still as strong, if not stronger, in the wake of AI-generated content and AI-generated responses. Spoiler alert: authority is still important, but how AI understands authority is a bit different. 

Let’s start from the top. So, we all know what EEAT stands for, but how do you actually translate that into content? 

Experience means content that easily demonstrates your first-hand knowledge on a subject, like a case study or research project. This means avoiding riding off the back of someone else’s work and publishing something original that shows your real, lived experience.  

Expertise is the part where you show off your valid credentials, either through bylines, list of publications and accreditations, or anything that indicates you’re clearly a subject matter expert. Experience is one thing, but at the end of the day, AI, Google, and people will always put more faith in those who have the educational and professional chops to back up their claims. And of course, this is of the utmost importance when dealing with YMYL, or your money, or your life sites. 

Authoritativeness means that you’re not the only one tooting your horn. Other trustworthy names in the industry are referencing you and reposting your content. Because signalling your authority is up to the rest of the world to show, this is probably the most challenging. 

Trustworthiness is what some people call the keystone of this framework because without it, AI and Google simply won’t have the confidence in your content or your brand to cite you. Trustworthiness is shown through various signals, like an up-to-date SSL certificate, proper referencing of sources, real author bios, a privacy policy, good reviews, and a brand reputation that doesn’t stink. Trustworthiness feels like a catch-all, but I’m sure in your daily life you know a shady website when you see one, so a lot of it is common sense. 

So, now that we understand what robots mean when we talk about E-E-A-T, I want to talk about the difference between optimising EEAT for Google’s human raters vs AI systems. A lot of that has to do with how AI generates answers. 

It’s called Retrieval-Augmented Generation (RAG). What happens is that at the start of a user query, an LLM sends your question to a search or retrieval layer that pulls in the most relevant pieces of data from an external knowledge base, i.e., organic search. Those sources are then given a trustworthiness scale from 0 to 1, with 0.6 being the confidence threshold, and anything below that number being left behind. 

 In Google, sites with poor EEAT will likely still show up somewhere in the search results, with their EEAT scores being commensurate with their rank. But with AI-generated responses, if your content has less than a 60% confidence score, then it simply won’t show up. In other words, E-E-A-T is even more important for AI visibility. 

So, up next, we’ll discuss how to take your real-world experience, expertise, authoritativeness, and trustworthiness and turn it into content that both Google and AI can easily digest. Because let’s not forget that Google still dominates search by the billions, so we don’t want to stop creating content that human raters will approve of 

So, first to be listed and last to be added is experience

 I don’t know why I started using the royal ‘we’, but let’s just run with it. As we said a few minutes ago, experience goes deeper than the theoretical.   

This is an especially strong signal when referring to a product or niche topic. If you’re wondering why so much content is devoted to product reviews and videos whose titles go something along the lines of ‘How I started my six-figure-a-year business with only sweat, hard work, and my mommy’s chequebook, ’ it’s because AI favours specific rather than generic information. 

If you want to improve your AI visibility, you need to start thinking about your content in terms of a personal narrative. ‘I walked 26 kilometers on the camino trail in these Decathlon walking shoes and here’s what happened,’ type thing. The more specific you are about dates, units, quantities, test methods, and results, the more realistic, helpful, and trustworthy your content will be, and not just to robots, but to people as well. 

Add in visual proof like screenshots, timestamps, and photographs and don’t forget to include Alt text so AI can quote-unquote see what it’s looking at. 

Lastly, to boost your experience, you should also be making full use of Schema where appropriate, such as Review and HowTo schema. 

Our next and original E is expertise.  

Do your friends call you Professor unironically? Are you the guy or gal that your friends go to when they want answers on something random or obscure that no one else would know? Or, simply, do you have an advanced degree that qualifies you to talk about some things with a certain level of authority? While being a master of your domain doesn’t automatically require a masters degree, it does go a long way in building up your trustworthiness. However, those fancy letters after your name aren’t the only way to demonstrate your credentials. You basically just need to show a depth of knowledge. How do you evidence your knowledge to a bunch of robots? 

Well, first of all, since we just mentioned schema, you should be using Person schema on the page, which could include details about the author, like their job title, affiliated organisations, awards, certifications, etc. You should also have a dedicated and frequently updated author bio page that lists out the author’s credentials much like a curriculum vitae. You don’t just want to make a long-ass bullet list of all their awards, but you want to create a narrative around the author’s expertise. Don’t forget to link to their active LinkedIn account to sprinkle in that social proof. 

Oh, and how can I forget this important aspect of expertise? Of course, you’ll have to create enough content that covers a topic in both depth and breadth. Because you are an expert, you should be able to easily go well beyond the surface level of a topic. This is how we get 3000-word pillar content that gets read, cited, and passed around the internet like a bible or naughty magazine at summer camp. Don’t stop creating killer content and remember to interlink to other related pages so as to build your authority and give AI more context. 

Even if your organisation is producing a mix of human and AI-generated content (and if you’re not, you’d be in the minority) you still need to have an expert thoroughly fact-check and ensure it’s properly cited, otherwise it’s your brand’s credibility that’s on the line. 

Now what about authoritativeness, because the more I talk about expertise, the more it sounds like authority. But in the context of the InTeRnEt, authoritativeness is, as we said, not about ‘speaking with authority’ but being deemed a figure of authority by your peers. You definitely want to get to that stage where others in your industry look to you for answers. In SEO, that’s people like Danny Sullivan, Aleyda Solís, Neil Patel, and Barry Schwartz. Basically, it’s your online reputation. 

But, as any teenage sitcom will tell you, paying someone to tell everyone how cool you are, is not the same thing as being cool. 

So, how do you organically and honestly satisfy the authoritativeness signal for both Google and LLMs? 

First, be sure to establish your brand and executives as Knowledge Graph entities in search engines. You can do this by first claiming ownership of Google Search Console, and ensuring that the name, details, and logos are all correct and up-to-date; then, by creating Wikipedia pages for the company and the C-Suite. And lastly, making sure that your name, address, phone number and other contact details are correct and consistent across every single web page, social media account, directory profile. This is important for AI visibility because LLMs use knowledge graphs as part of their confidence scoring. 

Next come the old-fashioned backlinks. Now there’s something we haven’t mentioned in a while. Backlinks are still important authority signals, and quality is far more valuable than quantity. You can go a lot further with two backlinks from WebMD and Mayo Clinic than one hundred backlinks from kidneys-for-cash.biz.  

Next, go old-school. Roll up your sleeves and get involved. Build a name for yourself through community engagement, whether that’s webinars, Quora contributions, LinkedIn articles, or even Reddit posts. To prove your authoritativeness even more, why not nail down speaking gigs at legit conferences that are well-known and respected in the industry. 

And last but not least, trustworthiness. Because trust is the cornerstone of any healthy relationship, isn’t it? How do you show in robot terms that you’re a trustworthy brand? Well first of all, it goes without saying that you absolutely should be worthy of customer trust, and this isn’t about figuring out how to pull the wool over people’s eyes. It’s about reassuring people.  

For AI systems, trustworthiness is assessed on multiple fronts, and you’ll be happy to know that if you’ve been on it with your SEO, then you’re probably doing some if not all of the technical requirements for building better trust, like ensuring nap consistency, making sure every page is protected with SSL certificates, and adding links to all your privacy and legal policies on the footer of your website. 

You also need to go deeper than that. To satisfy the T in EEAT for better AI visibility, you need to properly verify and cite every fact and every claim, as well as link to your sources and discuss your research methods. You need to update and show that you’ve updated your pages to prove page freshness. If you’re publishing AI-generated content, you should have a Reviewed By section or byline showing a real human’s name and their credentials. You should already be crossing your Ts and dotting your eyes, but also make sure to show proof of that. 

Add review schema and wear your reviews from Capterra, TrustPilot, etc. in public in full view. If you don’t have any testimonials, start requesting them because third-party opinions carry a lot more weight than shameless self-promotion. 

We’ve just blown our way through EEAT and if there’s one word that has popped up consistently throughout, it’s schema. If you don’t understand what I mean when I say schema, I highly recommend that you work with your web developer or SEO team to help you implement it if they haven’t already. 

After writing and researching for this podcast episode, I kept being reminded of university an de d the lengths that faculty and school administrations go to ensure academic integrity. When every paper you submit is meticulously checked for plagiarism and correct citations, you start to develop good habits that aren’t that dissimilar to what we’ve been talking about. What that translates into is a practice of honesty, care, and thorough research. 

 So, treat your content with integrity and most of what we talked about will follow. 

 That’s it for today’s episode. From now on, your mission is to create content with EEAT baked right in, because it’s not just about showing up on page one of Google, it’s also about being part of the conversation in ChatGPT, AI Overviews, and the rest of the gang. 

 If you have a burning question about anything we talked about today, be sure to message us on social media. Our handle is @ Geeky Tech Geeks. Have a holly, jolly, January folks.