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Should brands prioritise AI-generated content or user-generated content in their campaigns? Artificial intelligence is transforming how brands produce content. At the same time, user-generated content remains one of the most powerful drivers of trust and conversion in eCommerce.
The debate around AIGC vs UGC is no longer theoretical. Marketing teams must decide where to allocate budget, resources and strategic focus.
This article examines the differences between user-generated content, AI-generated content, and the combination of the two, AI user-generated content; their respective strengths and limitations, and how brands should approach prioritisation.
Before deciding when, where and how to deploy them, you need a clear understanding of what distinguishes UGC, AIGC and AI UGC and why each matters. Let’s explore each term and how brands benefit from them.
User-generated content is content created by community members rather than the brand itself. This includes content from customers, UGC creators, or influencers. UGC usually takes the form of written reviews, social media posts, video testimonials, and unboxing videos, among many others. Discover more about what UGC is.
Take this example of UGC: @silvia.efe is a lifestyle-focused creator based in Madrid. Her content typically spans fashion, food, travel and general lifestyle themes, presenting a mix of visually engaging posts designed to connect with a broad audience.
UGC functions as social proof. It reduces perceived risk and increases purchase confidence because the content comes from real users, external to the brand. However, brands can leverage this type of authentic content, and they should, since in eCommerce environments, UGC is closely tied to performance metrics such as conversion rate, average order value and bounce rate.
The Spanish brand CREATE showcases a UGC gallery on their homepage, with both organic and paid UGC. This means its content is generated by satisfied customers, but also influencers and UGC creators that collaborate with the brand. Read the full case study on how CREATE benefits from UGC.
Even when the content comes from paid collaborations, it’s authentic and generates social proof. Influencers are often considered experts in their niche, and their communities trust their recommendations. UGC is therefore the most authentic and trustworthy type of content.
As Juliette Labarre, Brand Content Manager at St Maclou points out in their case study with Flowbox:
“In addition to authenticity, UGC brings real added value in terms of product demonstration and contextual placement. For example, on our site, we integrate them directly into category pages, such as those dedicated to parquet or carpet. At the bottom of these pages, we display numerous photos from UGC that correspond to the products being searched. This really helps our visitors visualise: e.g., ‘I’m looking for parquet flooring, but I don’t know which one to choose…’ and these visuals help them decide.”
Juliette Labarre, Brand Content Manager at St Maclou
UGC has a higher upfront cost but often strong revenue leverage when integrated into high-intent touchpoints such as product and category pages.
AI-generated content refers to text, images, videos or audio created using artificial intelligence systems such as generative models. These tools allow brands to produce marketing assets at scale.
Common AIGC use cases include product descriptions generated automatically from catalogues, AI-generated lifestyle imagery, automated ad copy variants for paid campaigns, and localised content across multiple languages.
Brands like Misako use these artificial intelligence tools mostly for process optimisation, product descriptions, and working on Shopify programming code. However, the team has decided not to use AI for content creation because it doesn’t align with their values and brand image, as their eCommerce Manager explains.
“We also use AI for tasks such as product description. In the end, AI is already on the table. We use it every day, honestly, both our internal team and the agencies we work with. But at the content level we are not going to use it, because in the end AI also has quite a few hallucinations and after four years of working on our image, the last thing we want is for things to get out of hand and have to be constantly monitoring what’s being done.”
Aleix Pi – eCommerce Manager at Misako
The core advantage of AIGC is operational efficiency. It reduces production time and cost while enabling rapid experimentation. Other brands have chosen to use AI tools for tasks such as catalogue management, since AI is highly effective for initial product presentations for internal use. However, AIGC does not inherently provide authenticity or social proof.
According to the recent AI Influencer Marketing Report 2026, AI will work as the creative lab—generating ideas, content variations, and data-driven insights at scale—while humans will take on the role of distributors, curators, and relationship builders. This shift highlights how creativity is becoming augmented by machines, but trust, context, and authentic audience connection remain firmly human responsibilities.
Check other insights from leading brands’ teams that participated as panelists in the Flowbox event on eCommerce Content Strategies held in Barcelona and Amsterdam.
AI user-generated content refers to content generated, enhanced, or assisted by artificial intelligence that aims to imitate the UGC style. Clear examples of this are the synthetic influencers or virtual brand ambassadors, where fully AI-generated content is designed to mimic real users’ content, styled to look like user photos and videos from authentic experiences.
Take the following Instagram account as an example: @fit_aitana is the first Spanish AI influencer. She is not a real person, but a digitally generated persona designed to function like a human fitness and lifestyle creator on social media, which generates AI UGC for brands.
Her content focuses on gym routines, wellness, lifestyle imagery and fashion-oriented posts, primarily on Instagram. Visually, she resembles a realistic influencer, with AI-generated photos and videos depicting workouts, mirror selfies and everyday scenarios.
However, despite its efficiency, AI UGC can sometimes lack emotional depth and human relatability. Without real experiences behind it, this type of content may feel less authentic or engaging compared to recommendations coming from real people.
User-generated content, AI-generated content and AI UGC now coexist within the same marketing ecosystem. They are not interchangeable, but they are complementary.
The strategic question for brands is no longer which one to use, but where each delivers the most value. Let’s explore the key differences between UGC, AIGC, and AI UGC:
Emotional Impact and Engagement
If you want to maximise benefits and cost-efficiency across UGC, AIGC, and AI UGC, you need to assign each content type to the stage of the customer journey and the internal workflow where it delivers the strongest return.
The advantage comes from the strategic separation of roles. The mistake is treating them as substitutes. Here is a breakdown:
User-generated content sits at the trust layer of the funnel. It is rooted in real experiences and communities. Its primary strength is credibility. Because it originates outside the brand, it reduces scepticism and increases purchase confidence. According to our research, UGC is 5x more likely to convert than professional content.
UGC is perfect for building credibility with new or sceptical audiences, community engagement and encouraging conversations around your brand, and it’s ideal when you want content that feels real, relatable, and human.
You should prioritise organic UGC and paid collaborations with influencers and UGC creators in high-intent, revenue-critical environments, including:
In eCommerce environments, UGC directly supports performance indicators such as conversion rate, average order value and reduced exit rates. It is particularly effective in product discovery, consideration and validation stages, where shoppers need reassurance from peers.
You should also use UGC when launching new products. Here, you can leverage paid UGC from influencers to boost conversation around your product and encourage their audiences to try it and share their experiences.
When customers lack familiarity, peer validation reduces perceived risk. In this scenario, the cost of collaboration functions as a conversion accelerator rather than a content expense.
Implementing the UGC strategy across multiple channels has helped EVOC Sports build a stronger community while enhancing the shopping experience through authentic user-generated content, resulting in measurable outcomes. Check EVOC results with Flowbox UGC platform.
“The product page is currently the best performer. It’s at the bottom of the sales funnel, much closer to the purchase. The average order value is higher when people interact with Flowbox flows.”
Maxi Ortmeier, Senior Performance Marketing & E-Commerce Manager at EVOC
Andrew Martin felt their branded content, although more professional and of higher quality, created a detachment between their products and customer experience. By prioritising content generated by users instead of complex and expensive photoshoots, Andrew Martin could leverage the fact of being a big and well-know brand within the furniture and interior design industry.
The brand saw a 280% increase in the Average Order Value Uplift in a year which indicates the average amount spent each time a customer places an order (assisted by Flowbox). This metric shows how much the value of orders has increased after interacting with Flowbox content.
“When we use UGC in our paid advertising, we get a higher click-through rate versus our fancy little lifestyle shots. I think a lot of that is down to the authenticity of it. It looks real; it looks like people who use this product in their real homes. With our organic social, we tend to get a better response from UGC than we do from some of our professional content. (…) UGC generally have a higher engagement rate.”
Gary Evans, Chief Marketing Officer at Andrew Martin
Meller integrated UGC into their Instagram Stories ads, and ran an A/B test to compare if ads showing UGC have better results than ads with branded content. Ads with UGC resulted in a 13.9% lower cost per click than ads with branded content.
UGC is therefore best positioned where social proof, contextual product demonstration and community engagement are essential.
AIGC is ideal for high-volume content production, like blog articles and social posts, works well for SEO and personalised messaging at scale, where you need content tailored to many audience segments, and it’s very useful when you want a consistent brand voice across multiple platforms without manually producing every asset.
You should deploy AI-generated content in areas that demand volume, speed and iteration rather than emotional persuasion. These include:
In these cases, the benefits come from time saved and cost reduction. You are lowering structural content production expenses. AIGC is particularly effective when you manage large inventories or operate across multiple markets.
You should also use AIGC in testing environments. If you are running multivariate ad experiments, generating multiple creative angles through AI reduces cost per test. Human teams can then select and refine the highest-performing variations.
However, you should not rely on AIGC alone in conversion-critical environments where credibility is decisive. Automation supports performance, but it does not replace peer endorsement.
AI UGC becomes relevant when you want the aesthetic of social content but require full production control and predictable output. You may use it in:
If you are testing new visual identities or creative directions, synthetic influencers or AI UGC allow you to scale production without renegotiating contracts or managing creator pipelines. This approach is also useful when you need consistency. Real creators vary in tone and quality. AI-generated personas can maintain visual coherence across campaigns.
However, you should be cautious in contexts where credibility and authenticity scrutiny is high. If your brand positioning relies heavily on expertise or transparency, overuse of synthetic content may dilute trust. In those cases, AI UGC should complement, not replace, real user participation.
Understanding how to combine UGC, AIGC, and AI UGC effectively in your marketing strategy allows you to engage your audience, optimise workflows, and maximise the return on every content investment.
Here’s an overview of best practices for leveraging UGC, AIGC, and AI UGC combined:
By following these best practices, you can harness the strengths of each content type while minimising their limitations. A balanced approach ensures that authentic voices drive credibility, AI accelerates efficiency, and AI UGC enables creative experimentation, all working together to create a cohesive, high-performing content strategy.
When you align each format with its strongest advantage, you reduce inefficiencies without weakening performance: automate where trust is not the primary driver, invest in human credibility where it directly influences revenue, and deploy the right type of content at the right stage of the workflow so that every investment contributes proportionally to business impact.
Whether you are investing in UGC or supporting it with AI-powered workflows, your highest returns will come from preserving genuine connection at the core of your strategy. Efficiency can optimise output, but authenticity is what ultimately converts attention into revenue and loyalty.
After all, AI won’t replace humans; it will improve speed, scale and smarter decisions. AI-generated content will become the default, and the real competitive edge will shift back to real people, driving a resurgence in customer UGC and micro influencer content.
Ready to take your UGC strategy to the next level? Request a demo with Flowbox and discover how to build, scale, and optimise your UGC and influencer marketing strategy efficiently without compromising revenue.
