We are officially in the zero-click content era, so here are five things content marketers and SEOs need to stop doing in 2026, and what to do instead.

56% of AI shoppers want creator reviews in AI answers. New IAB data shows which creators people trust most, and what it means for B2B creator programs.

Later gave me early access to their new Creator Answer Engine Optimization (AEO) playbook, which includes insights from the almost 500 marketers they surveyed as well as campaign numbers that paint a clear picture on how creators help brands influence AI search visibility.

"Get us cited by ChatGPT" sounds like a small ask. In reality, AEO is three full-time jobs: measurement, prompt research, and off-site visibility.

Most Creator AEO programs start by hiring outside creators. Start with your employees instead: how to find, screen, and actually pay for it.

What's standing between you and those citations usually isn't the quality of your expertise. It's that your expertise is scattered across the internet, vaguely described, and hard for a model to attach to one identifiable person.

A buyer asks ChatGPT for software recommendations, and there you are: cited, shortlisted, and in the running. But six weeks later, they go with someone else. What happened? That's the story hiding in G2's 2026 Buyer Behavior Report, and it's making me rethink where the AI search journey really ends.

Everyone in marketing claims creator content matters "more than ever" for AI citation rate, but almost nobody has checked whether the data backs that up. This report does. I've pulled together and synthesized more than twenty published studies from mid-2024 through mid-2026, covering hundreds of millions of individual AI citations across ChatGPT, Claude, Perplexity, Gemini, and Google's AI search features. (Sourced linked at the end.)

Head of AEO is a job that exists everywhere and nowhere simultaneously, scattered across a dozen job descriptions, measured by a dozen different metrics, optimized toward a dozen different outcomes.

When you keep the definition of "creator" confined to "influencer we pay," you cut off 80% of the people who could be generating AI citations for you.

AEO and AI search job openings tracked across major brands. Discover salary ranges, which industries are hiring, and why this is the career move to make now.

The truth is that there's already a version of your brand living inside these AI models. It's your job, as the person tasked with "figure out AEO," to make sure that version is correct, up-to-date, and cross-verified by people outside your brand.

You do not need the 4,000-step checklist that every "Complete Guide to AEO" is trying to sell you. You need a handful of moves in the right order.

Creator AEO, the emerging term for creator-driven answer engine optimization, is the practice of earning AI citations through human expertise published on third-party surfaces. 

“Creator” can take many shapes here: LinkedIn creators, B2B influencers, customer advocates, and even employees all fit under this umbrella.

Google rebuilt its AI search experience to surface, label, and attribute independent voices. LinkedIn built a marketplace to help brands find and partner with them.

Together, these product updates are some of the strongest confirmations I've seen of the premise behind the Source Signal Stack, my framework for modeling why AI search cites one source over another.

LinkedIn is rebuilding its platform to prioritize individual B2B creators' content over brand content. And because LinkedIn is already the #2 most cited domain for professional queries, this is a very big deal for brands working on AI search visibility.

Over the past two months, I've been telling you about the Source Signal Stack: a framework for understanding which content signals LLMs trust when they decide who to cite.

Today, I want to dig into the prerequisite beneath all four layers that determines whether the content you produce through any of them actually becomes citable, or just gets absorbed into the model's general knowledge without attribution.

Here, you'll find a condensed synthesis of published research; citation data and methodologies belong to the original researchers cited throughout; this is not original research.

The strategic implication this brief draws: LinkedIn long-form articles and newsletters now function as AI search assets that AI models cite, in addition to being SEO assets that rank on Google.

If you’re going to invest in AEO, you need to be able to prove it out. Let’s get to the elephant in the room when it comes to AI search/AEO conversations: Are these efforts actually bringing your company leads and sales?

Find out how leveraging B2B creators on LinkedIn can help improve your AI search visibility when internal employees aren’t available to help with these efforts.

If internal expertise is limited, you can supplement with specialized external B2B creators, influencers, and thought leaders in your niche for Layer 3 of the Source Signal Stack. (Reader, did you know "LinkedIn influencer" was a thing?)

These are people who already publish consistently, are in front of your ideal customers on LinkedIn, already have a defensible POV in your category, and have a track record of generating the kind of independent, cross-verifiable signal the Source Signal Stack was built to reward.