Tech
No Logo’s Lola Wants to Be the AI Talent Manager Independent Creators Can Afford
Nicholas Guy, founder and CEO of No Logo, believes the Creator Economy has a talent management gap. Talent agencies typically require clients to earn five to six figures a year before the economics justify taking them on. Below that threshold, tens of millions of creators manage brand deals alone, negotiating rates without benchmarks, pitching without contacts, and tracking opportunities manually.
Nicholas has spent more than eight years working inside that gap. No Logo, his Edinburgh-based creator agency, has run more than 3,000 campaigns for creators with partners including Google, IKEA, Meta, and the United Nations. Now, he is trying to automate part of the work human managers cannot profitably provide.
In May, No Logo launched Lola, an AI-powered talent manager designed to give independent creators access to deal-sourcing, pitch drafting, brand matching, and rate guidance. The company is pricing the service at around $50 a month, compared with the 20% to 25% commission common in traditional talent management.
“Creators don’t want another SaaS tool,” Nicholas says. “They’re already handling everything. They need something that’s actually going to be proactive and save them time.”
Why Human Management Doesn’t Scale Down
From Nicholas’ perspective, the economics of traditional talent representation create a hard floor. A manager working on commission needs a client generating enough revenue to justify the time investment. For most mid-tier and emerging creators, that calculus does not work.
“A creator needs to be making $50,000 to $100,000 a year or more to make sense for a talent agent,” Nicholas explains. “We had to turn away smaller to mid-sized creators because they’re not making enough money.”
The problem is structural, not motivational. Creator-facing tooling has lagged well behind the brand side. Platforms built for Influencer Marketing were designed to help brands discover and vet creators, while the infrastructure creators need to find deals, negotiate terms, and manage relationships has remained thin.
“If you focus on brands, you’re focused on what gets the cheapest deal for the brand,” Nicholas says. “We’re focused on how to help creators navigate this and thrive.”
Nicholas draws a sharp contrast with the broader market. There is still no centralized infrastructure for creator-brand matching comparable to what exists in other industries. “In this industry, there is no Airbnb,” he says. “People still post on LinkedIn saying, ‘I’m looking for creators.’ It’s still in the dark ages.”
How Lola Actually Works
Lola operates primarily through email, a design choice to replicate how creators actually interact with managers rather than requiring them to open another dashboard. When a creator joins, the agent runs an intake, asking about past brand partnerships, current rates, and content focus. That profile is layered with continuous monitoring of the creator’s public posts.

Lola then tracks what brands are doing across the creator’s competitive set. When a similar creator lands a deal, Lola identifies the brand, assesses fit, and can then draft a bespoke pitch. Nicholas describes the logic: “If a creator is traveling in the summer or running a marathon, that’s an opportunity a brand would really want to potentially engage with. But it’s impossible for a traditional manager to handle all those things in their memory. Lola tracks these milestones and uses them to pitch or respond to brands.”
Creators can also prompt Lola directly through a dashboard. Someone preparing for a half-marathon might ask Lola to identify relevant footwear brands. Lola surfaces contacts, drafts the pitch, and delivers it for review. That final step matters: for now, Lola operates with the creator in the loop on all outbound contact.
“Lola will email the creator and say, ‘I’ve got this new opportunity,'” Nicholas says. “But Lola does not email the brand right now. The creator still controls that.”

Inbound works the same way. A creator can put their Lola email address in their social bio, as is also the case with traditional managers. Brands reaching out are analyzed by Lola, which drafts a response and notifies the creator. Nicholas describes one early moment that stuck with him: a creator with a sizable following put their Lola address in their bio, and brands began emailing it directly. “That creator trusted Lola to handle their inbound,” he says. “It’s quite fun to see creators converse with Lola like a human. They would say, ‘Thank you.'”
The Creator-First Bet in a Brand-Centric Market
Most infrastructure built for Influencer Marketing was designed from the brand’s vantage point. No Logo takes the opposite position. Rather than serving up brands based on budget or category alone, the system evaluates alignment with a creator’s content values, past partnerships, and stated preferences.
“We’re really thinking, ‘What’s the right brand for a creator? What are the values that align?’ Then Lola uses that framework to vet the brands,” Nicholas explains. “She might suggest a brand that isn’t quite right. And the creator’s like, ‘That’s not the right fit.’ And that can also become a learning opportunity.”
Nicholas tested this pitch framework manually during Lola’s development for a creator: he sent approaches to five brands in a single week and was able to set up calls with three.
The company’s experience across more than 3,000 campaigns has informed Lola’s rate guidance, giving creators benchmarks for what to expect for their size and niche.
No Logo’s focus on the creator side is also a strategic choice. According to Nicholas, serving brands requires different economics and incentives, finding the most creators for the lowest rate. Serving creators means advocating for better deals. He argues that the two orientations are difficult to serve simultaneously in the traditional model. “We’re on the side of the creator,” he says.
Rethinking the 20%
Traditional talent management charges 20% to 25% of a creator’s earnings. For top-tier clients generating major sums, that percentage covers complex deal structures, legal review, and ongoing relationship management. For a creator earning $500 on a brand deal, the arithmetic collapses.
“It doesn’t cover the cost of the time to make a hundred dollars on a deal,” Nicholas says. “That’s why it’s such a big opportunity. Previously, it wasn’t possible.”
Lola’s pricing is categorically different. No Logo is also considering a token-based model or a small percentage cut on completed deals, closer to a marketplace fee, rather than a flat management rate. The aim is to serve creators at a scale no human team could match.
Nicholas stops short of predicting the end of traditional management. Top creators, he says, will continue to want human involvement. What is changing is the tier beneath them. “For mid-tier creators, I think the days of 20% management are starting to come to an end,” he says. “Not for leading creators. That will be around for a while.”
What an AI-Native Talent Agency Actually Looks Like
Nicholas frames his next phase as an open question. Some creators want operational support but not full representation, and they are unwilling to give up a fifth of their revenue for it. He is testing a hybrid model: Lola handles the heavy lifting, while access to a human expert is available on demand for a fee when a deal gets complicated.
“What is an AI-native talent agency?” Nicholas asks. “Is it that Lola’s doing all the heavy lifting, but for an additional fee, you can talk to an expert on an hourly basis? That’s the question we’re asking.”
Lola has had around 100 creators who have tested a pre-beta version. No Logo plans to expand to platforms beyond Instagram and plans to reintroduce voice-based interaction after an earlier pilot. Autonomous outreach, where Lola engages with brands directly on a creator’s behalf in certain circumstances, is among the capabilities the team is exploring.
Nicholas is of the view that creators are in a stronger position than they have ever been. AI, in his reading, has solved the development problem while leaving the distribution problem intact. Creators own the distribution.
“Creators can build their own products and tools just as fast as anyone else now,” he says, “but they have the distribution that other people don’t. So, I think creators are in this amazing place to now capitalize.”
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