Your buyers stopped Googling. Some of them, anyway.
They open ChatGPT. They ask Perplexity. They type a real question, in real words, and they read the answer the machine gives back. No ten blue links. No scrolling. Just one synthesized answer with a handful of sources behind it.
So here’s the question that should keep you up at night: when someone asks an AI engine about your category, does your name come up? Or does a competitor’s?
That problem has a name now. Answer Engine Optimization. And the surprising part is where the wins are coming from. It’s not your website. It’s now your owned media.
What AEO actually is (and how it’s different from SEO)
SEO was about ranking a page. You picked a keyword, you built a page, you earned some links, you climbed. The goal was a click.
AEO is about getting cited. The goal is to be the source an AI model reaches for when it builds an answer. Sometimes that comes with a link. Often it doesn’t. Either way, your brand becomes part of how the machine explains your world.
The mechanics are different, too. And this is where it gets interesting for anyone running a podcast.
The thing nobody tells you: AI can’t hear your podcast
LLMs don’t listen to audio. They read text.
That sounds like a problem. It’s actually the whole opportunity. Because the moment you transcribe an episode and publish it, that hour of founder conversation becomes thousands of words of text that AI crawlers can scrape, index, and pull from. Your spoken expertise turns into citable material.
Skip the transcript, and you’ve built content that lives in a black box. Search can’t read it. AI can’t quote it. Your best thinking just sits there, invisible.
We learned this one slowly. For a while, we treated transcripts as an accessibility checkbox. They’re not. They’re the bridge between the work you already do and the place your buyers now search.
The data is harder to argue with than the theory
You don’t have to take this on faith. The numbers showed up in 2026, and they’re blunt.
Ahrefs studied 75,000 brands to see which signals predicted whether a brand showed up in AI answers. The strongest correlation across ChatGPT, Google AI Mode, and AI Overviews wasn’t backlinks. It wasn’t domain authority. It was YouTube mentions, defined as any time a brand appears in a video title, description, or transcript. That signal correlated at roughly 0.737. Traditional backlinks sat at 0.218.
Read that again. The thing that moved the needle was being talked about on video, not the link-building most agencies still sell.
One honest caveat, because the guide here is to tell you the truth and not perform certainty: correlation isn’t causation, and Ahrefs says so themselves. A strong YouTube presence might be a proxy for a brand that’s simply well known everywhere. The signal is also strongest for Google’s platforms like Gemini. ChatGPT and Perplexity lean on it less. So treat it as a strong directional finding, not a law of physics.
Why does video punch so hard? Partly the training data. The New York Times reported that OpenAI’s GPT-4 was trained on more than a million hours of YouTube transcriptions. The models learned how the world talks by reading what people said on camera. Show up in that data set, consistently, and you become a known entity.
Then there’s LinkedIn, which surprised even me
I expected LinkedIn to matter for AI search. I didn’t expect it to rank second.
Semrush, working with LinkedIn, analyzed 89,000 LinkedIn URLs that AI engines actually cited in early 2026. LinkedIn came in as the #2 most-cited domain across ChatGPT Search, Perplexity, and Google AI Mode. Ahead of Wikipedia. Ahead of YouTube. Ahead of every major news publisher in the set. On average, it showed up in 11% of AI responses.
A few findings from that study that changed how we work:
AI doesn’t just link to LinkedIn. It echoes it. The study measured how closely AI answers matched the source content and found LinkedIn scored between 0.57 and 0.60, higher than Reddit or Quora. Translation: when your LinkedIn post gets cited, the model tends to repeat your actual framing. Your words shape how your category gets explained. So say the thing you want repeated, clearly, in the first few lines.
Originality is basically the price of entry. Around 95% of cited posts were original. Reshares barely registered.
And you don’t need to go viral. The median cited post had 15 to 25 reactions and maybe one comment. What the cited authors had in common wasn’t fame. It was frequency. About three-quarters of them posted five or more times in four weeks. Creators with under 500 followers got cited just as often as big accounts.
That last point is possibly the biggest. AI search rewards the founder who shows up every week with something real over the influencer who posts a banger once a quarter. Consistency is the key.
The system: one conversation, many surfaces
Here’s how the pieces fit, and why a podcast sits at the center of it.
The podcast is the engine. One good hour with a founder produces more genuine expertise than a month of marketing-team blog drafts. That conversation is the raw material.
You publish it long-form on YouTube, with a clean transcript and a real description. Now it feeds the strongest AI-visibility signal in the Ahrefs data.
You transcribe it and publish the text where you control it, so the ideas are crawlable and tied to your brand.
Then you cut it down and repurpose to LinkedIn, the #2 cited domain, where consistency beats reach. The same insight becomes a founder post and a company-page post. (Both matter, by the way. Perplexity cites company pages most; ChatGPT and Google AI Mode lean toward individual people. You want presence on each side of that split.)
One conversation. Four or five surfaces. Each one a place an AI engine is already looking.
That’s the whole idea behind our Authority Media Engine. Not more content. Not louder content. A system where the work you do once keeps getting found, quoted, and attributed, long after you hit publish.
Where to start if you’re a founder reading this
You don’t need a studio and a 12-person team to begin. You need a few habits.
Record real conversations, not ad reads. The educational stuff is what gets cited. Semrush found that more than half of cited LinkedIn content was knowledge or advice, with promotional content a distant second. Teach, and the machines notice.
Always publish the transcript. Always. This is the cheapest, highest-leverage thing on the list and most brands still skip it.
Use your name and your category terms the same way every time. Inconsistent naming confuses the models trying to connect your mentions into one entity.
Show up weekly, not occasionally. Frequency is the signal you can control without a bigger budget.
I’ll be honest about what I don’t know. The exact weighting these engines use shifts constantly, and anyone who tells you they’ve cracked the algorithm is selling something. What I’m confident about is the direction. Your buyers are asking AI for answers. The brands that get named are the ones with a deep, consistent, citable trail across the surfaces those machines read. A podcast, repurposed well, builds that trail faster than anything else we’ve found.
Start the conversation. Publish the words. Show up again next week.
The machines are listening. Well, reading. You know what I mean.