TL;DR
A brand's own sites make up just 5 to 10 percent of the sources AI search references. Third-party content accounts for the rest, and most brands have no strategy for it.
The platforms driving the most LLM citations (long-form YouTube, Reddit, Substack) are the same ones your creator program already touches, but most brands haven't connected the two.
Growing AI brand visibility requires a creator strategy, not a technical SEO fix. We’ve already built the infrastructure to execute it.
Written by Cameron Miskho, Sr. Director of Strategic Consulting at Later
Today, Later launches creator AEO: a creator-first approach to Answer Engine Optimization that gives brands a measurable path to winning in AI search.
Our proprietary data, built over a decade, uniquely positions us to help brands execute their AEO strategy. With 16M+ creators in our network, $2.9B in creator-driven GMV, and 136 billion social impressions running through Later EdgeAI, we're not theorizing about what works in AI search. We're already doing it with top brands, and we know what moves the needle.
The right creators make your brand the right answer.
Keep reading to find out why creator AEO matters, why most brands are investing in the wrong places, and what it actually takes to win AI brand visibility.
Your customers are already asking AI about you
The buying journey looks different from what it did two years ago. Instead of Googling a category and clicking through ten blue links, buyers are asking ChatGPT or getting their shortlist from a Google AI Overview. They're consulting Perplexity. If your name isn't in that answer, you're not in the consideration set.
That's the challenge Answer Engine Optimization (AEO) was built to solve. Also referred to as GEO, AI search, LLM search, or AESO, AEO is the practice of making your brand visible to the AI models that now answer your customers' questions. The terminology is still settling, but the problem is the same: brands need to show up in AI-generated answers, and most aren't investing in the right places to get there. McKinsey projects that by 2028, $750 billion in US revenue will funnel through AI-powered search. The brands building AI brand visibility now are positioning themselves to capture a disproportionate share of that.
According to McKinsey, a brand's own sites comprise just 5 to 10 percent of the sources AI search references; the rest comes from trusted third-party content and creator-driven conversations.
The vast majority of your AI-era brand reputation is being shaped by other people, on platforms you don't own, in formats you may not have invested in.
Brands are already using AI in their influencer programs to optimize campaigns, and the results are compelling. According to Later's research on AI in influencer marketing, 62% of brands now use AI extensively in their influencer programs, 90% are confident it will deliver long-term value, and 77% report better campaign results with gains showing up across engagement, targeting, and ROI.
Optimizing how your campaigns perform is a different challenge than optimizing how AI finds and describes your brand in the first place. That's what AEO is about, specifically increasing and controlling Share of Model (how often your brand shows up in AI-generated answers, relative to competitors) and it's where most brands haven't started investing yet.
Why the current AEO playbook only gets you so far
Open any AEO pitch circulating right now, and you'll see a familiar list: schema markup, FAQ pages, llms.txt files, internal linking audits, crawl budget optimization. These are legitimate investments, but they only scratch the surface.
Schema markup doesn't influence the third-party majority. A well-structured FAQ page doesn't change what r/SkincareAddiction says about your serum. Technical optimization on your homepage doesn't help a YouTube creator explain your product accurately to 200,000 viewers whose video transcript will eventually inform how a language model talks about you.
AEO emerged from the SEO world, which meant the early solutions naturally reflected that background: structured data, site architecture, and metadata. Useful, but insufficient for a problem that is fundamentally about earned media at scale. The brands building durable AI brand visibility are investing in the content layer that AI actually trusts, and that's a creator problem, not a technical one.
The third-party majority lives where your creators already work
Here's what the data shows about where AI citations actually come from:
YouTube is now cited in roughly 16% of LLM answers, with citations surging from 18.9% to 39.2% in late 2025.
Reddit accounts for around 40% of citations across major LLMs and dominates Perplexity at nearly 47% of top citations.
Reddit citation share grew 73% between October 2025 and January 2026 alone.
AI brand visibility is being decided in the exact ecosystem your creator team already knows: long-form YouTube, Reddit, Substack, industry blogs, product reviews, and niche communities. You don't need to build a new function to compete in AEO: adapting your current playbook is where the opportunity lives. The brands that figure this out first will build a compounding lead. The ones that wait will spend the next model retraining cycle trying to catch up.
Why most creator content today is invisible to AI
There's a meaningful catch: the platforms many brands invested in most heavily over the last two years are largely the ones LLMs can't read.
Instagram and TikTok feed into Google AI Overviews, but the major chat models prioritize long form content like YouTube and community content like Reddit over shorter formats like Reels and TikTok videos. Even on YouTube, 94% of AI citations point to long-form video, not Shorts. And here is the most jarring stat for anyone still pricing creators on follower count: subscriber count has a near-zero correlation with AI citation frequency. Mid-tier expert creators get cited at the same rate as megaphone-sized celebrity creators; sometimes more.
Most brands have already paid for content that AI cannot see. Every viral Reel, every 15-second TikTok with a million views, every paid Story is locked out of the citation layer the moment the trend cycle ends.
The operating model that actually moves AI brand visibility
If the vast majority of what AI says about you comes from third-party content, and the most-cited third-party surfaces are creator-shaped, then AEO is a creator marketing problem. The operating model needs to reflect that.
Three moves separate the brands growing AI brand visibility from the ones still optimizing metadata.
1. Turn what you've already paid for into permanent assets. Transcribe high-performing TikToks and Reels, embed the content in a brand blog recap, and re-upload to YouTube in long-form with a full transcript. A 48-hour viral window becomes a citable asset that compounds over time. It's the most accessible AEO investment most brands haven't made.
2. Activate creators with community credibility. Reddit is the most cited domain across LLMs and one of the most difficult to manufacture a presence in. Sponsored posts get downvoted. The real lever is identifying creators who already have authentic standing in the communities your category lives in, then giving them the space to answer real questions in their own voice.
3. Invest in long-form expert content alongside short-form impressions. A single 10-minute YouTube deep-dive with a clean transcript can deliver more AEO impact than a hundred Shorts. Pair it with a Substack post and a Reddit thread, and you've created a citation cluster that the next model retraining cycle will actually weight.
Why Later is built to win this for brands
Most brands have two functions that should be working as one: a creator team running campaigns and a digital or SEO team managing technical optimization. In practice, they rarely talk to each other, and neither is fully configured to grow AI brand visibility on its own. We saw that gap forming years ago, and we built the infrastructure to close it.
What makes Later's creator AEO approach different isn't the concept. It's the data we already have, the creators we already work with, and the intelligence layer we've already built on top of both.
We've analyzed 16M+ creators, tracked 300M+ pieces of published content, and driven $2.9B in GMV directly attributable to creator activations. That first-party data across culture and commerce is what makes creator selection for AEO a precision exercise rather than a guessing game. We know which creators get cited in AI answers, not just which ones get likes. We know which content formats compound over time, and which ones expire with the trend cycle.
Later EdgeAI sits at the center of how we put that intelligence to work. Through integrations with best-in-class AI monitoring and SEO platforms, it monitors your brand across LLMs in real time, tracking mention rate, citation rate, sentiment, and competitive AI brand visibility across ChatGPT, Gemini, Claude, and Google AI Overviews. We baseline where you stand, identify the prompts your category is winning and losing, and build a multi-channel creator and community strategy designed to move the specific metrics that matter for your brand.
In practice, it shapes how we work with brands across three areas:
Creator selection grounded in citation data. We don't match creators based on follower count or category fit alone. Later EdgeAI's intelligence layer tells us which creators are actually being cited by LLMs in your category, so every activation is grounded in evidence rather than intuition.
Content that compounds. We start with what's already in your library. High-performing creator content gets repurposed into long-form, transcribed, citable formats that AI can index, then we scale original content across the prompts you most need to own. Every piece we produce is designed to build durable AI brand visibility, not just hit a short-term impression target.
Measurement that feeds the next campaign. You see mention rate, citation rate, and AI brand visibility lift against your competitive set in real time. Every campaign makes the next one smarter, because the intelligence compounds the same way the content does.
Your customers are already asking AI about you. Talk to a Later strategist about building the creator and community content that earns their trust.
