The 4 Creator Types That Get Cited by AI
I'm having the same conversation with every B2B marketing leader I talk to right now. They want to launch a creator program for AI search. And they all mean the exact same thing by it: Find 3 to 5 LinkedIn influencers, pay them a 3-6 month retainer, and have them post about the company or product.
That's not a terrible approach. I book this type of work regularly, in fact. But it's only 20% of what's actually possible.
Updating the definition of “creator” for the AI search context
First things first: We need to update the meaning of “creator” within the context of AI search visibility efforts. 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.
Your solutions engineer who just wrote about a problem she's solved 200 times? Creator.
Your customer who published a blog post about how they evaluated vendors? Creator.
The person answering your product questions on Reddit every week? Creator.
Here’s the thing: Creator can mean many different things in the context of AI search. It’s up to us, as marketers, to run with that information.
Let’s look at a few of the different archetypes that “creator” can take on in the world of AI search.
Archetype 1: The Hired Creator
This is what most people think when they say "creator program.” An external influencer (or B2B creator) with their own audience and established authority. You partner with them, and they post about your product or brand under their own names.
We know this strategy because it works: BrightEdge data shows creator-validated brands get cited in AI results 2.3x more than those that are not. Hired creators bring pre-built entity recognition (AKA, the AI tool already knows who they are), cross-platform presence, and independent credibility. They’re also probably quite good at creating content, and know what their audience responds to.
But B2B creators are also often the smallest talent pool, the most expensive option, and they’re the least familiar with your product (unless you found them because they’re a superfan and were raving about you for free. If this is the case, scoop them up and pay them well to keep them doing their thing!)
What a hired creator looks like
A social media video producer putting together a scroll-stopping video short about how they use the product.
A B2B influencer co-authors a new research report with a brand, and they promote the asset together across social media (and maybe via a newsletter or webinar they host together.)
A creator with an established LinkedIn presence and an audience of your target audience does an article about your product launch and why it’s relevant/worth paying attention to.
The mistake companies make with this work, however, is treating hired creators as contracted brand ambassadors (with three rounds of approval, strict brand guidelines, and tight messaging frameworks.)
In doing this, you strip out all the independence that made them valuable in the first place. You are also limiting their voice, personality, and style…and this is what their audiences like about them!
How to best leverage hired creators
Preserve their authenticity and don't over-engineer the message. Loosen the reins on brand guidelines and approval cycles. Creators are valuable for their independent voices; suffocating it with corporate control defeats the purpose.
Brief them thoroughly, then trust them. Give creators context about your product, goals, and target audience—but let them decide how to communicate it in a way that resonates with their specific community.
Leverage their audience insights, not just their reach. Ask hired creators what their audience cares about, what pain points they hear about, and what content formats perform best. This intelligence is as valuable as the post itself.
Invest in creators who already align with your product. The best partnerships are with creators who genuinely use or believe in what you're offering—not ones you're asking to suddenly become fans because you're paying them.
“Creators, at their best, have built genuine relationships with their audiences over years of consistent, authentic communication. That relationship cannot be manufactured by a traditional ad agency regardless of production budget or media spend.” -Jason Davis, Creator Economy Expert, Forbes
Why employee creators matter for AI search visibility
Hired creators earn citations because they bring pre-built entity recognition; AI systems already know who they are and trust their authority. When an established creator with cross-platform presence and an existing audience validates your product or brand, AI systems weigh that endorsement heavily.
Their independent credibility and distributed reach mean your brand gets associated with trustworthy voices, and their multiple platforms create more citation touchpoints across the web. Hired creators work. They're part of the mix. But they're not the whole mix.
Archetype 2: The Employee Creator
Do you have creator talent on your current employee roster? Probably! We’ve historically called this work “employee advocacy.” But…advocacy is often a low-stakes distribution play: Employees amplify the company blog, like the company posts, or maybe add a comment.
Creation, however, is employees sharing their original perspectives, experiments, and expertise beyond the company website.
What an employee creator looks like
A product manager publishing their take on a category trend or behavioral shift.
A VP of engineering writing about an architectural decision.
A solutions engineer documenting how they solve a recurring problem.
A marketing manager sharing a social media experiment they ran that produced noteworthy results.
These employees are sharing their unique POVs under their own names and accounts, but tying that work and expertise back to their role within the larger company/organization.
The data on this is stark: Employee-shared content gets 561% more reach and is reshared 24x more than brand content. And creators with fewer than 500 followers get cited at the same rates as larger accounts. Audience size doesn't matter, but specificity does.
“We dipped a toe in the water by testing one employee-led account when the brand has historically just engaged from the official brand account. After just one month, we're already seeing enough citation proof to validate us adding six more employee advocates to the mix.” -Krista Doyle, Founder of Fan Out, an offsite AEO marketing agency
How to best leverage employee creators
Make activation frictionless. If creation isn't in their job description, make it part of their workflow. Provide templates, topic suggestions, editing support, and clear time/expectations so it doesn't feel like an unpaid side project.
Start with your experts, not your entire roster. Not every employee needs to become a creator. Identify people with genuine expertise, interesting perspectives, or unique roles (engineers, PMs, solutions specialists) and invite them to share what they already know.
Provide guardrails, not scripts. Give employees context about what topics matter to your business and audience, but let them write in their own voice. The specificity and authenticity are what drive the effectiveness of this work.
Celebrate and amplify internal creators. Recognize employees publicly when they publish, share their work internally, and show how their content is driving business outcomes. This builds momentum and encourages others to participate.
Create a low-barrier entry point. Not everyone will write a long-form article. Offer multiple formats (LinkedIn posts, Twitter threads, short-form video, or internal Slack insights) so creators can participate at the level that fits them.
Your employees posting about their work, wins, and experiments online is a form of employee advocacy, but really, it’s an opportunity to pull back the curtain on your company culture and to let your team share publicly the cool and interesting things they’re doing behind-the-scenes.
Why employee creators matter for AI search visibility
Employee creators solve a fundamental problem: distributed authority. When multiple employees independently publish on the same topic under their own names, AI systems recognize multiple authoritative voices making corroborating claims. This is exactly what search systems reward.
Each employee brings their own entity recognition, audience, and credibility, multiplying your citation potential across the network. Plus, the 24x reshare rate means employee content travels further and gets cited more frequently, creating more opportunities for your brand to be recognized as a source.
Archetype 3: The Customer Creator
Your best customers (see also: most loyal or most excited) are excellent creators. In fact, some of them are probably already out there singing your praises, posting about how your product makes their lives easier, and referring new business your way. Why not make this a more official creator-esque partnership?
Every customer success team already runs some version of a customer advocacy program. It’s responsible for putting together case studies, gathering testimonials, and keeping an eye on review sites. This work is still all useful, but it’s pretty confined to on-site territory, and there’s no structure in place here that allows those customer advocates to create content that’s specifically aimed at earning AI citations.
So: What if customer advocacy meant helping customers publish their own perspective on their own platforms?
What a customer creator looks like
A head of marketing writes on LinkedIn about evaluating tools in your category.
A VP of operations publishes a blog post about the implementation process around your tool.
A developer answers a Stack Overflow question using your product as the example.
How to best leverage employee creators
Guide them toward citation-earning formats. Customer creators have the most impact when they're publishing on platforms AI systems scan: LinkedIn articles, technical blogs, Stack Overflow answers, industry forums. Help them understand which format fits their story and expertise.
Provide lightweight support, not scripts. Offer topic suggestions, editing feedback, or distribution help—but the content should be entirely in their voice and tied to their perspective. They know their audience better than you do.
Make participation frictionless. Some customers will write long-form articles; others will answer a single Stack Overflow question. Offer multiple entry points so even busy decision-makers can contribute without major time commitment.
Recognize them as the authority. Position customer creators as experts in their own right, not as extensions of your brand. This authenticity is what makes them credible to AI systems and their peers.
The uncomfortable part of this work: you can't control it, but you can make it easy. The name of the game with customer creators is to remove the points of friction: Provide data they can reference, suggest angles, and provide templates that they can quickly and easily customize.
That said: The final output is theirs. But this is exactly why AI trusts it more than anything on your website.
Why customer creators matter for AI search visibility
Customer creators drive AI visibility because they're proof of concept. When multiple customers independently publish about how they solved a problem using your product, AI systems see consensus from trusted practitioners.
Unlike brand content, customer perspectives carry the weight of real-world experience and independent validation. Their titles and roles add authority, and because they're customers speaking from their own expertise, there's no credibility gap—just genuine recommendations from people who've already chosen to use your product.
Archetype 4: The Community Creator
Community members are a goldmine for earning AI citations. They are out there in the streets doing the Lord’s work.
ChatGPT, Perplexity, and other generative AI tools prefer community-generated content—especially from platforms like Reddit and forums—because these sources are seen as authentic, peer-to-peer recommendations rather than marketing.
A community creator's answer on a Reddit thread carries more weight in AI training and retrieval than a hundred branded blog posts, because the AI system recognizes it as independent, credible advice from someone with real experience.
What a community creator looks like
A power user answering recurring technical questions on Stack Overflow, providing detailed solutions that mention your product as a use case for solving specific problems.
A newsletter writer covering your category, independently reviewing tools and platforms, analyzing trends, and recommending solutions to their subscriber base.
A Discord community moderator in industry-specific servers, helping members troubleshoot problems and naturally mentioning your product when it's relevant.
A podcast host interviewing founders and practitioners in your space, bringing on guests who use your product and letting conversations flow authentically.
A blog author writing about problems your category solves, documenting their own experiments and journey without sponsorship or partnership—just genuine documentation.
These people are already creating original content about your category without being paid. But most companies don't even know they exist!
How to best leverage community creators
Find them first—they're already out there. Audit Reddit threads, forums, Stack Overflow, Discord communities, and newsletters in your space. Identify the power users, consistent contributors, and voices that already show genuine interest in your category. These people are your best bet.
Engage authentically, not transactionally. Comment on their posts, share their work, reference their insights in your own content. Build a relationship before asking for anything. Show up as a community member, not a brand recruiter.
Give them what they need to create better. Early product access, data they can analyze, expert time for interviews, beta features to test—these are the currencies that matter. Remove friction so they can create about your product more easily, not so they'll create for you.
Stay hands-off on messaging. Don't provide talking points, scripts, or brand guidelines. The entire reason community creators matter is their independence and credibility. Any attempt to control their output destroys the value you're trying to capture.
Amplify without expecting reciprocity. Share their work, tag them, send traffic their way. Show appreciation publicly. Some will naturally deepen their engagement; others won't—and that's fine. The goal is earning their goodwill and independence, not securing obligatory endorsements.
The activation approach is light-touch. Identify who's already creating. Engage with their content. Make yourself useful to them. Early product access. Data they can use. Expert access for interviews.
Don't try to control the output. Don't hand them talking points. The value is in their independence.
Why community creators matter for AI search visibility
When an AI system encounters a community member answering a question or sharing a recommendation, it recognizes that as peer-to-peer advice from someone with hands-on experience—far more credible than brand content.
Community creators also reach people at the moment they're actively problem-solving, asking real questions, and looking for authentic recommendations from practitioners like themselves.
These new creator types are the future of AI search efforts
The word "creator" is going through what "content" did ten years ago. Content used to mean the stuff on the blog. Then it became content marketing. The word expanded because the behavior it described expanded.
Right now, "creator" means influencer. But the behavior it describes in AI search—original, attributable, independent signal generation—is something employees, customers, and community members do, too. The word needs to expand to match the behavior.
“Your customers search everywhere. Make sure your brand shows up... When creating content, your job is to win the influence phase so thoroughly that when a user eventually turns to an AI assistant or a search bar, your brand is the only logical answer." -Rand Fishkin, Co-founder & CEO of SparkToro
FAQ: Creator programs for AI search
What counts as a "creator" in the context of AI search?
A creator is anyone publishing original, attributable content under their own name that AI systems can cite—not just paid influencers. That includes employees sharing their expertise, customers writing about their experience with your product, and community members answering questions on platforms like Reddit and Stack Overflow. If you limit "creator" to "influencer we pay," you're cutting off roughly 80% of the people who could be generating AI citations for your brand.
What are the four creator types that earn AI citations?
The four archetypes are: hired creators (external influencers with established audiences and entity recognition), employee creators (team members publishing their own perspectives and expertise under their own names), customer creators (users documenting evaluations, implementations, and results on their own platforms), and community creators (power users, forum contributors, and newsletter writers already talking about your category—often without being paid).
Do creators need a big audience to get cited by AI?
No. Creators with fewer than 500 followers get cited at the same rates as larger accounts. AI systems reward specificity, genuine expertise, and independent authority—not follower counts. This is why a solutions engineer writing about a problem she's solved 200 times can be just as citable as a major influencer.
How is employee creation different from employee advocacy?
Employee advocacy is a distribution play: employees reshare the company blog, like brand posts, or drop a supportive comment. Employee creation is original work—employees publishing their own perspectives, experiments, and expertise beyond the company website, under their own names. Advocacy amplifies brand content; creation generates new, independently attributable signals that AI systems can cite.
Why do AI tools like ChatGPT and Perplexity favor community content?
AI systems treat community-generated content—Reddit threads, Stack Overflow answers, forum discussions—as authentic, peer-to-peer recommendations rather than marketing. An independent answer from someone with hands-on experience carries more weight in AI training and retrieval than branded content, because there's no incentive to promote attached to it.
Which creator type should a company start with?
Start with the lowest-friction, highest-trust options you already have: your employees and your existing customer advocates. Identify a handful of employees with genuine expertise and invite them to publish, and help enthusiastic customers move their advocacy from your website (case studies, testimonials) to their own platforms (LinkedIn articles, technical blogs, forum answers). Hired creators are worth adding to the mix—but they're the smallest, most expensive talent pool, so they shouldn't be the whole strategy.
How much control should brands have over creator content?
As little as possible. Independence is the entire reason creator content earns AI citations—strict brand guidelines, talking points, and multiple approval rounds strip out the authenticity that makes it valuable. Brief creators thoroughly on context and goals, provide lightweight support like data and topic suggestions, then trust them to communicate in their own voice.
