Influencer Marketing Trends: September 2026

By Shayla Crowder, Senior Marketing Manager at New Engen

Shayla Crowder is a Senior Marketing Manager at New Engen and a creator with nearly half a million followers across social platforms. She tracks trending audio, formats, and content patterns weekly, from inside the feed, not just from a dashboard. Everything on this page reflects what she's actively watching move.

Forty-three percent of shoppers bought something an AI chatbot recommended to them in the last three months, and it turns out that made them trust creators more, not less. The influencer marketing trends for September 2026 point to something brands haven't fully priced in yet: AI recommendations and creator trust are now moving together instead of competing for the same budget. The brands still treating them as separate line items are already behind.

3 Influencer Marketing Signals Defining September

Signal #1: AI Shopping Recommendations Are Making Creators More Trusted, Not Less

A new holiday playbook from PartnerCentric found that shoppers who trust AI recommendations are six times more likely to also trust and value creators. Separately, RTB House research found that Google AI Overviews and ChatGPT are now outperforming TikTok, Instagram, and Facebook on shopper trust, framing AI as an emerging "consideration engine." Even so, 83% of consumers say they "trust but verify" AI chatbot recommendations, and 76% remain concerned about how chatbots use their data.

This isn't AI replacing creators in the purchase journey, it's AI creating a new job for them. When a chatbot surfaces a product, the shopper's next move is increasingly to verify that recommendation somewhere that feels human, and creator content is filling that verification role. That changes what creator content is actually for: it's no longer just top-of-funnel awareness, it's the credibility layer sitting right before checkout.

For brands, this means creator content needs to be discoverable at the exact moment someone is fact-checking an AI recommendation, not just when they're scrolling for inspiration. Product-specific creator content, especially the kind that reads as an honest take rather than a scripted endorsement, is what shows up in that verification search. Brands heading into Q4 planning should treat creator content as part of their AI-recommendation defense, not a separate channel with its own separate goals.

What this means for brands: Audit whether your top 10 products have recent, findable creator content that would hold up if a shopper searched for a second opinion after an AI recommendation. If the answer is no, that's your first Q4 creator brief.

Signal #2: Platforms Are Building the Infrastructure to Prove What's Real

Three things converged this month. A New York Times investigation exposed hundreds of AI-generated wellness personas flooding social media with supplement promotions, personas that are increasingly hard for consumers to spot. Anthropic began embedding invisible watermarks into AI-generated text under the EU AI Act, a move nearly 200 companies including Meta, Microsoft, and OpenAI have signed onto through the same code of practice. LinkedIn also launched a user-facing "seems like AI slop" reporting button, driven by detection data showing close to a third of short-form posts and more than 40% of long-form posts on the platform are fully AI-generated.

None of these are the same policy, but they're the same instinct: platforms and regulators are building the plumbing to tell real creators apart from synthetic ones, before now they mostly just talked about wanting to. That's a meaningful shift from a values conversation to an infrastructure one. Once disclosure and detection become technical features instead of guidelines, verification stops being optional and starts being something brands have to actively manage.

For brands, this closes a door that's been open for a while. Any creator content that was quietly AI-assisted or fully AI-generated is now sitting closer to detection than it was even a month ago, and the reputational cost of getting caught is rising alongside the tooling. The safer move is to get ahead of disclosure standards now, rather than waiting for a platform or a journalist to force the conversation.

What this means for brands: Pull your last quarter of paid creator and UGC content and flag anything that used AI-assisted writing, voice, or video tools without disclosure. Build a simple internal disclosure standard before a platform's detection tools do it for you.

Signal #3: TikTok Shop Is Growing Up Into a High-Ticket Channel

TikTok Shop is maturing well past impulse-buy fashion and beauty. Multi-brand seller Spreetail reported that above-ground pools and spas grew 125% year over year on the platform, five times the growth those same products saw on other marketplaces, while outdoor furniture and lawn and garden categories posted triple-digit growth. Mellow Sleep, a comforter brand starting at $85, is also scaling on the platform, and a study from Envision Horizons found 51% of consumers have made a $100 or more purchase on TikTok Shop.

Faster logistics are driving as much of this as consumer trust. Spreetail shrank its delivery window from five days to two in partnership with TikTok, closing the gap that used to make shoppers hesitate on anything above a certain price point. As checkout speed catches up to discovery speed, TikTok Shop stops being a place for cheap, low-consideration buys and starts being a real channel for considered purchases.

For brands with mid-to-high price points, this is a real opening, but it changes the creator strategy that works there. A $20 impulse buy and an $800 furniture piece don't convert off the same kind of content, and seeding a higher-ticket product to the wrong volume of creators wastes budget fast. Brands need a more selective, higher-touch creator approach for anything above typical TikTok Shop price points, with affiliate commission structures that reflect lower volume and higher margin per order.

What this means for brands: If your product sits above $75, run a small TikTok Shop pilot with five to eight creators instead of a mass-seeding push, and track order value alongside units sold before deciding whether to scale.

Rising Creator: Natalie Acopian and the Case for Letting Customers See the Mess

Natalie Acopian didn't set out to be a creator, she set out to run a boutique. Colorful Natalie started as a curated e-commerce fashion shop she launched herself, and it's since grown into a bright pink storefront on Bleecker Street in New York that's become a viral tourist stop, with nearly 250,000 followers between Instagram and TikTok. What makes her account work isn't polish, it's the opposite: she documents lines down the block on good days and a vocal critic of her pink storefront on bad ones, with the same camera.

Last holiday season, the business grew faster than Acopian's tiny basement storage room could handle, and instead of hiding the problem, she posted TikTok updates about running out of stock and having to adjust store hours. That kind of content should be a liability. Instead, it became some of her most trusted material, because it showed a real business under real pressure instead of a brand performing calm.

That's the structural shift worth noticing. As audiences get better at spotting overly polished, AI-assisted, or scripted brand content, a founder or employee narrating actual operational chaos reads as more credible than almost anything a brand's marketing team could produce on purpose. It's not a tactic that can be faked convincingly, which is exactly what makes it valuable.

What this means for brands: Audit your last 10 pieces of owned social content. If none of them show something that didn't go perfectly, whether that's a founder, an employee, or a store manager handling a real problem on camera, you're leaving your most trustworthy content type completely unused.

Brand Collab Worth Studying: Prima x The Nonnas and the Case for Ignoring Gen Z

Prima, a grass-fed protein bar brand, skipped the usual fitness-influencer playbook entirely. Instead of putting a shredded 20-something in front of the camera to talk macros, the brand built its identity around Nonnas, Italian grandmothers who read ingredient labels out loud and ask whether anything in them would exist in her own kitchen. Rather than hosting a typical influencer dinner, Prima hosted one filled entirely with Nonnas, and the resulting content performed across age groups instead of just the usual Gen Z creator-content demo.

• Cross-generational casting. A Nonna has instant credibility talking about real food that a 20-something fitness influencer would have to earn over dozens of posts, and it works precisely because she isn't chasing relevance with a younger audience.

• A philosophy you can say in one sentence. Prima's bars use grass-fed protein, raw honey, and beef tallow, with no seed oils and no refined sweeteners, and the Nonna's "would this exist in my kitchen" framing makes that entire pitch legible in seconds.

• A mascot no competitor can copy. Any brand can hire a fitness influencer. Almost none can credibly claim an opinionated grandmother as their brand's voice, which turns the casting choice itself into a moat.

What this means for brands: Before your next creator casting call defaults to the youngest, most conventionally trendy option, ask whether an unexpected voice might actually make your product's core claim easier to believe, not harder.

Frequently Asked Questions

Q1: Do AI shopping recommendations hurt or help influencer marketing?

They help it, and the effect is measurable. Shoppers who trust AI recommendations are six times more likely to also trust creators, according to PartnerCentric's 2026 holiday shopping research, which means the two channels are reinforcing each other rather than competing for the same purchase decision.

Q2: Why are platforms cracking down on AI-generated influencer content right now?

Platforms are responding to a credibility problem that's already surfaced publicly, most visibly in a New York Times investigation that found hundreds of AI-generated wellness personas promoting supplements to unsuspecting audiences. LinkedIn's new AI-content reporting tool and Anthropic's text watermarking under the EU AI Act are both direct responses to that same trust gap, arriving within weeks of each other.

Q3: Is TikTok Shop worth using for higher-priced products?

It's becoming a genuine option, not just a hunch. Categories like above-ground pools, spas, and outdoor furniture are posting triple-digit year-over-year growth on the platform as delivery speeds improve, though brands should pilot with a small, selective group of creators rather than mass-seeding the way they would a $20 product.

Q4: What makes founder-led or employee-generated content more trustworthy than typical brand content?

It's harder to fake convincingly. A founder or employee narrating a real operational problem, a stockout, a bad review, a messy day, can't be staged the way a polished brand campaign can, and audiences have gotten sharp enough to notice the difference.

Q5: Should brands ever cast a mascot or spokesperson outside their core target demographic?

Sometimes it's the stronger move. When the goal is making a product's claim instantly believable rather than chasing relevance with the youngest possible audience, an unexpected voice, like an outspoken grandmother fronting a protein bar brand, can build more credibility than a conventional influencer would.

Want to build a creator program that doesn't need forced authenticity because it's already real? See how New Engen approaches influencer marketing.