Tag

marketplaces

Browsing

By Al Sefati

Retail marketing has changed drastically in recent years. Consumers no longer discover brands only through search ads, visiting stores or browsing social media. Today’s shoppers move from Google, TikTok, marketplaces, AI assistants, review platforms and influencer content before buying anything.

This change has created both a challenge and opportunity for retailers.

Many times, the most successful brands don’t carry the biggest advertising budgets. They are the ones connecting digital ecosystems including SEO, AI visibility, paid media, AI automation, reputation management and customer retention into one strategy.​

The Customer Journey Is No Longer Linear

The traditional retail funnel is no more. Customers no longer move from awareness to consideration to purchase. Instead, they jump between devices, apps, AI assistants, marketplaces, reviews and social channels in a fragmented buying journey.

Someone shopping for sneakers might find a product on TikTok, search Google for reviews, ask ChatGPT for alternatives, compare prices on Amazon and then finally make a purchase after seeing a retargeting ad days later.

This behaviour applies to all retail segments. Visibility alone is no longer enough. Retailers must have consistency across every digital touchpoint.

SEO Has Expanded Into AI Visibility

SEO still matters, but retail brands are now competing for visibility inside AI-generated answers, not traditional rankings. Platforms like ChatGPT, Gemini, Perplexity and Google AI Overviews are changing how consumers research products.

Instead, customers are asking conversational questions like, “What are the best sustainable clothing brands?” or “Which standing desk is best for small apartments?”

This is where answer engine optimization (AEO) and generative engine optimization (GEO) enter the picture. To capture the visibility retailers need, AI-generated responses need fast websites, strong product data, new content, authentic reviews and FAQ-driven pages.

Brands relying only on traditional SEO tactics are becoming invisible in AI-driven searches.

AI Automation Is Becoming Essential

AI is rapidly becoming one of the biggest competitive advantages in retail.

Retailers are using AI to automate customer support, product recommendations, CRM automation, email and SMS workflows and lead qualification, among other things. From what I’ve seen, this doesn’t just reduce manual work; using AI improves speed, personalization and scalability across the business.

In my experience, companies are moving beyond experimentation and focusing on operational AI systems that directly improve efficiency, customer experience and revenue growth.

AI automation is a differentiator for businesses in a crowded market.

Product Pages Have Become Conversion Hubs

One of the biggest mistakes retailers still make is treating product pages like static catalogues.

Modern product pages must function as full conversion environments, meaning they include customer reviews, FAQ sections, rich media, shipping transparency and user-generated content. AI systems are pulling directly from these pages when generating recommendations. Pages with thin or repetitive content lose visibility and trust.

Retailers I’ve worked with who invest in detailed, conversion-focused product pages tend to see stronger organic traffic and higher conversion rates simultaneously.

Reviews And Reputation Influence Discovery

Reviews no longer only influence conversions. They now influence visibility. Search engines and AI evaluate trust signals across Google Reviews, Trustpilot, Reddit, YouTube, TikTok and other marketplace ratings.

Peer validation always beats polished advertising. That is why modern retail brands are investing heavily in review acquisition, social proof and real customer experiences.

From what I’ve seen, brands generating authentic customer conversations online tend to perform better in both search visibility and conversion rates.

Retail Marketing Is No Longer Just About Driving Traffic

Retail marketing in 2026 is not about simply driving traffic. The focus is now on visibility across search engines, AI platforms, marketplaces and social ecosystems. ​

Growing brands are the ones creating connected systems that combine modern SEO, AI visibility, paid media, AI automation, customer trust and operational speed into a unified strategy. Retailers that are still relying on disconnected tools and outdated marketing playbooks risk becoming increasingly invisible in the modern digital buying journey.​

Feature image credit: Getty

By Al Sefati

COUNCIL POST | Membership (fee-based)

Al Sefati is an enterprise SEO, AEO\GEO, and digital marketing expert, and CEO of Clarity Digital with over two decades of experience. Read Al Sefati’s full executive profile here. Find Al Sefati on LinkedIn and X. Visit Al’s website.

Sourced from Forbes

By Pavel Podkorytov

AI has enormous potential for sellers and vendors on marketplaces. By using AI to learn about customers, adjust rates, optimize pricing and manage inventory, brands can improve their competitive advantage, drive sales and increase overall profitability on online platforms.

Marketplaces have become extremely influential in ecommerce over the past three years. Major market players such as Amazon, Alibaba and JD attract millions of users, facilitating massive transactions across a wide range of product categories.

They also generate a wealth of data on consumer behaviour, preferences and trends. This strong market position gives them an advantage and the ability to charge unreasonably high commissions, basically robbing brands.

The rise of marketplaces

The journey of marketplaces goes back to the early days of the Internet when platforms such as eBay and Amazon pioneered the concept of online commerce. Founded in 1994 as an online bookstore, Amazon has evolved into a comprehensive marketplace offering a wide range of goods. eBay, launched a year later, popularized the concept of consumer-to-consumer online auctions. China’s JD.com and Alibaba also burst onto the market in the late 20th century.

With the growth of ecommerce, niche and vertical platforms began to flourish. They focused on specific industries or product categories. A prime example is Etsy, a marketplace for handmade and vintage goods founded in 2005. And as technology has evolved, so have the capabilities of marketplaces. The introduction of secure payment systems, improved search algorithms and user-friendly interfaces have provided a new level of convenience, trust, and efficiency in online shopping.

However, it wasn’t until after the pandemic that marketplaces took off. The year 2020 was a stellar time for them and e-commerce in general. Online platforms have become critical for brands to reach a broader customer base. In 2021, a whopping 42% of all online purchases were made through marketplaces. The convenience of shopping from home, the ability to compare prices and read customer reviews, and the seamless transaction process for customers have contributed to the rapid growth of online platforms. And in 2022, almost two-thirds of consumers said they were happy to be able to order everything they needed through one merchant.

By 2027, third-party marketplaces will become the world’s largest and fastest-growing retail channel, accounting for nearly two-thirds of online sales. Amazon, Alibaba, Pinduoduo and JD.com are expected to generate $4.3 trillion in global sales, up from $2.5 trillion today. Experts say that the most successful retailers, both now and in the future, will operate third-party marketplaces, and consumer brands must align with them to flourish in this new retail environment.

Although the concept of marketplaces itself is beneficial, including for brands, the strong position of online platforms has allowed them to dictate their terms to sellers and vendors and practically rob them.

How online platforms make money on brands

In the early days of marketplaces, when they needed to attract new suppliers to basically unknown platforms, contract conditions for vendors and commissions for sellers were usually based on a small percentage of the transaction amount. As marketplaces expanded and diversified, they introduced tiered commission structures to incentivize sellers with high sales volume. Those who achieved such volumes or met specific performance criteria could qualify for lower commissions, which offered a potential savings advantage.

With time, marketplaces expanded their revenue streams by introducing additional services. They included premium placement in search results, featured listings, advertising options, and other services such as fulfilment, delivery, and marketing support. With these, marketplaces generate additional revenue while allowing merchants to increase their visibility. The problem is that though online platforms aim to increase the effectiveness of services and tools offered to sellers, their main goal is still to earn more by raising the penetration of those products, not optimizing sales for specific brands.

As a result, Amazon, for example, now gets more than 50% of sellers’ revenue on average, compared to 40 percent five years ago. Sellers are paying more because Amazon has increased fulfilment fees, making advertising costs inevitable. The typical Amazon seller pays 15% per transaction, 20-35% for order fulfilment, and up to 15% for advertising and promotions. The cost of Fulfilment by Amazon, when Amazon stores, picks, packs, and ships orders, has been steadily rising, and there are few success stories of operating outside of this model. Advertising is optional, but it takes up most of the screen with the best conversions, so sellers inevitably have to buy Amazon advertising services to get noticed.

The company has even been sued recently. According to the claim, Amazon penalizes sellers for failing to set the optimal price for their products by demoting them in search results and disqualifying products from the “Buy Box” feature, a white box on the right side of the Amazon product detail page, where clients can add goods for purchase to their cart.

The power of AI

With the growing influence of artificial intelligence, companies can now leverage AI to expand their presence, optimize operations and ultimately generate more revenue. We estimate that the global retail AI market will be worth about $350 billion by 2032 as more companies realize the benefits of neural networks and take advantage of them.

Marketplaces already use AI-based tools that provide valuable insights into consumer behaviour, campaign performance, and keyword search. Their main goal is to increase sales, and algorithms help them calculate which sellers’ products are worth promoting to maximize overall revenue. Online platforms analyse customer buying behaviour, items in the shopping cart and the most viewed items to make recommendations, predicting what each client is likely to buy.

Brands, too, can use AI to get to the top of marketplace search and increase the share of sales in their categories at the expense of internal marketplace traffic. However, sellers cannot access marketplace AI models. Platforms keep information about their developments secret and notify merchants of updates only when they occur. In Amazon’s case, Amazon Vendor Service can be used to access some of the AI functionality, but it increases the cost of doing business. At the same time, the service itself remains a black box. It means that brands cannot use platforms’ AI to promote their products. It also means they need third-party solutions to do so. What exactly would such AI solutions offer them?

1. Intelligent and dynamic pricing

AI solutions enable brands to implement intelligent pricing strategies. By analysing market data, competitor pricing, and customer demand patterns, AI can determine optimal price points for products. Dynamic pricing allows sellers to adjust prices in real time based on factors such as supply and demand fluctuations, competitor activities, and customer behaviour. This ensures that sellers remain competitive and maximize their revenue potential on marketplaces. Our experience shows that using AI to determine pricing allows sellers to recover up to 6% of previously lost margins.

2. Intelligent adjustment for performance bids

Leading marketplaces usually use real-time bidding (RTB) systems allowing advertisers to bid to show their ads to buyers. For example, on Amazon sellers bid on keywords, and the one with the highest bid and the best-targeted keywords usually wins. In other words, the winning bidding strategy is when the buyer’s search query matches the seller’s target keywords.

With real-time data and advanced optimization techniques, businesses can ensure that their ad spend is used efficiently. AI algorithms can continuously recalculate billions of possible combinations of bids and amounts of budget, campaigns and segments, helping to rebound 20% of previously lost ROIC, based on our experience. Amazon, Alibaba, and JD already use such algorithms for in-house performance marketing.

3. Efficient inventory management

AI can optimize inventory management processes for sellers and vendors operating on online marketplaces. By analysing historical sales data, algorithms can forecast shipments and sales by warehouse and SKU with granularity to organic and promotional sales and high accuracy, identify peak selling periods, and optimize inventory levels. This helps brands avoid out-of-stock or dead-stock situations, reducing storage costs and ensuring a seamless supply chain. Additionally, AI can automate inventory replenishment and order fulfilment processes, streamlining operations and minimizing human error.

AI vs. People

AI has enormous potential for sellers and vendors on marketplaces. By using AI to learn about customers, adjust rates, optimize pricing and manage inventory, brands can improve their competitive advantage, drive sales and increase overall profitability on online platforms.

AI models also allow brands to save on time and resources of in-house teams and agencies, which, in our experience, companies typically hire to get their products to the top of marketplace storefronts. Сonsider, a medium-sized company from the food industry. Typically, a marketplace team (the one working to distribute products through online platforms most efficiently) includes an e-commerce leader, a manager, a designer, and a marketer. In addition, the company may hire an outside contractor to help its internal team.

Nevertheless, these people are forced to engage in routine operations instead of using their time to solve strategic problems. With AI, teams can focus not on playing cat and mouse but on developing strategy and launching innovations, while algorithms will help implement them around the clock and in the most efficient way.

Co-founder of ElDinero AI

Pavel Podkorytov is a tech serial entrepreneur, a co-founder of ElDinero.ai, an AI sales office for SPG vendors on marketplaces, a former CEO of TalentService.com, and an advisor of Stanford’s R&D project Future Talents. He has more than 15 years of experience in the tech industry.

Sourced from Entrepreneur