Tag: Ecommerce

A Buyer’s Guide to eCommerce ASO Agencies for 2026

Choosing an agentic search optimization agency requires more than comparing who mentions AI most often. eCommerce teams need to decide whether they want a specialist in AI discovery, an analytics-led partner, or a broader marketing agency that can add ASO to an existing program.

First Page Sage Blog evaluated seven agencies for its 2026 shortlist. The comparison below reorganizes its findings around buyer fit while keeping the source’s scores and claims clearly attributed.

ASO extends product discovery into purchasing

Agentic search optimization, or ASO, prepares a brand to be found, assessed, and potentially acted on by AI agents. For an online retailer, that can involve clear product information, credible comparison content, consistent brand signals, and technical systems that machines can interpret.

This makes ASO broader than simply appearing in a generated answer. An agency may also need to address how an agent evaluates alternatives and whether product or checkout infrastructure can support a transaction. The right scope therefore depends on whether a retailer needs visibility alone or an end-to-end agentic commerce program.

How to interpret the reported ranking

According to First Page Sage Blog, its weighted model assigned 25% to ASO expertise; 20% each to AI visibility, leadership experience, and average reviews; 10% to notable eCommerce clients; and 5% to estimated media references. The visibility assessment covered platforms such as ChatGPT, Perplexity, Claude, and Google Gemini.

Capability signals: ASO expertise, AI visibility, and relevant leadership experience.
Market signals: review ratings, client portfolios, and estimated media citations.
Important limitation: the publisher evaluated and ranked itself first, so buyers should treat the table as a sourced shortlist rather than an independent verdict.

The reported scores can help narrow the field, but they do not reveal pricing, staffing, contract terms, implementation capacity, or results for a particular catalog. Those points still require direct verification.

The seven-agency shortlist at a glance

The following table preserves the source’s order and two principal scores while translating each profile into the type of engagement it appears designed to support.

Rank	Agency	ASO expertise	AI visibility	Positioning reported by the source
1	First Page Sage	5.0	4.9	Full-stack ASO, GEO, SEO, and thought leadership
2	Genevate	4.8	4.6	Specialist work across GEO, ASO, and emerging AI platforms
3	Focus Digital	4.5	4.5	Conversion-focused programs for small and mid-market retailers
4	Driven Metrics	4.4	4.4	Attribution modeling and agent-conversion diagnostics
5	Tinuiti	4.3	4.2	Full-funnel performance marketing with an AI SEO offering
6	SmartSites	3.9	4.0	Traditional eCommerce marketing with developing ASO services
7	Aumcore	3.7	3.7	Voice and AI search optimization with emerging ASO capabilities

First Page Sage describes its own program as spanning AI representation audits, comparison content, and machine-actionable checkout readiness. It also reports that research led by its president, Evan Bailyn, analyzed 2,417 agentic search commands and organized ASO into retrieval, evaluation, and action stages. Because these claims come from the agency itself, prospective clients should request supporting methodology and relevant case evidence.

The other profiles suggest several distinct choices. Genevate is presented as an AI-search specialist, although the source flags its smaller scale. Focus Digital may suit cost-conscious small or mid-market brands seeking conversion support, while Driven Metrics emphasizes measurement and diagnostics. Tinuiti and SmartSites offer broader marketing coverage, but the source characterizes their ASO practices as less specialized. Aumcore may be relevant when voice and conversational search are also priorities.

Questions to resolve before selecting a partner

What will the agency optimize? Confirm whether the scope covers discovery, product evaluation, structured product information, and transaction readiness.
How will progress be measured? Ask for platform-level visibility reporting and a defensible connection between agent activity and commercial outcomes.
Can the team handle the catalog’s complexity? Multi-SKU, multi-market, or enterprise programs may require different staffing and technical capacity than a smaller direct-to-consumer store.
Which claims can be demonstrated? Request relevant case studies, references, sample deliverables, and an explanation of how reported improvements were attributed.

Key takeaways

First Page Sage Blog ranked First Page Sage, Genevate, and Focus Digital in the first three positions.
The list spans dedicated AI-search specialists, conversion and analytics firms, and full-service performance agencies.
Published scores are useful for screening, but the source’s self-ranking and estimated inputs make independent due diligence essential.
The strongest choice is the agency whose scope, measurement approach, and delivery capacity match the retailer’s actual operating needs.

As agent-assisted shopping develops, retailers will benefit from treating ASO as an operational capability rather than a one-time visibility campaign. A tightly defined pilot can expose whether an agency can connect content, product data, measurement, and commerce infrastructure before the relationship expands.

Inspired by this post on First Page Sage Blog.

July 17, 2026

Meta Business Agents Shift Commerce Into Messaging
Meta is positioning business messaging as more than a support channel. Its new Business Agent is designed to help companies handle discovery, sales and service inside conversations on WhatsApp and Instagram Direct.

For marketers, the important question is not whether this is a better chatbot. It is how customer journeys change when product research, lead qualification and checkout can happen without a visit to the company website.

What Meta Business Agent is designed to do

Search Engine Land reported on the launch announcement from Meta Conversations 2026 in London. The article describes an autonomous AI agent that can interpret context, continue multi-turn conversations and follow a company’s brand voice across languages.

A Conversations 2026 slide introduces Meta Business Agent through four cards covering 24/7 customer response, AI business discovery, agent support, and an agent platform.

In demonstrations observed by the publication’s contributor, agents answered support requests, qualified leads, retrieved current inventory through API connections and guided customers through checkout in one WhatsApp thread. Those demonstrations illustrate the intended workflow, but they should not be treated as independent evidence that every deployment will perform equally well.

The agent can reportedly learn from a business’s Meta channels and website. Companies can also supply operational information such as prices and inventory, then add instructions covering tone, availability and how products should be represented.

Three mobile chat examples show customers asking businesses about products and discounts through Messenger, WhatsApp, and Instagram beneath a 24/7 agent headline.

Key takeaways for marketers
- Business messaging can cover several stages of the journey, from initial questions and lead qualification to order updates and purchases.
- Meta is adding business discovery within WhatsApp search, creating another surface where accurate business information may influence visibility.
- Product feeds can be browsed within WhatsApp or Instagram Direct, reducing the need to send every shopper to a website.
- The system can support non-ecommerce goals, including appointment scheduling and other lead-generation tasks.
- Reliable data, clear operating instructions and human supervision will be central to useful customer interactions.
The website may no longer anchor every conversion

A conventional digital funnel often directs an ad, social post or search result toward a landing page. Meta’s model compresses that journey: a person may discover a business, ask questions, browse products and complete a transaction within messaging.

Search Engine Land also says enhanced discovery features will allow people to find businesses through the WhatsApp search bar. A shared business can become a conversation with a tap when it uses the feature, while a shared restaurant can lead to a directions request within the chat.

A phone interface under the heading Discover AI-powered businesses shows a search for LaLue, a verified LaLueur profile, and the start of a chat list.

This does not make websites irrelevant. Sites can still provide detailed information and support other acquisition channels. The practical change is that website sessions may capture a smaller portion of the customer journey, making channel-level measurement less complete unless messaging interactions are incorporated into reporting.

Data quality and escalation will determine the experience

An agent cannot give dependable answers about availability, pricing or policies when its source information is incomplete or stale. Connecting an AI interface to operational systems therefore creates a data-management responsibility as well as a marketing opportunity.

A Meta Business Agent interface shows navigation, a morning conversation summary, suggested questions, and a Home panel listing items that need attention.

Meta’s control environment, as described in the source, lets a business monitor active conversations, transfer selected chats to a person and provide feedback based on those interactions. That human handoff is important for unusual requests, sensitive cases and conversations where the agent lacks enough information.

Teams evaluating the product should define which information the agent may use, who owns updates to that information and which situations require escalation. They should also review whether its language reflects the brand accurately instead of assuming that initial instructions will cover every customer scenario.

Organic visibility, paid media and artificial intelligence merge into one connected search ecosystem, where vivid data streams link a creative website with a powerful analytics dashboard.

A practical way to assess the channel

The strongest starting point is a narrow customer task with clear source data and an obvious success condition, such as answering routine product questions or scheduling an appointment. Marketers can then examine conversation quality, handoff frequency and the effect on the wider customer journey before expanding the agent’s responsibilities.

The report does not provide detailed rollout, eligibility or performance information, so planning should remain conditional on what Meta makes available to each business. Even so, the strategic direction is clear: discovery and commerce are moving deeper into messaging, and marketing teams will need to treat those conversations as managed customer experiences rather than isolated chatbot exchanges.

Inspired by this post on Search Engine Land.
July 17, 2026
Google Merchant Center Drops “Next” in Simple Rebrand

I’m adjusting how I refer to Google’s shopping platform now that Google has dropped “Next” from Merchant Center Next. Going forward, the product is simply called Google Merchant Center.

Google made the change official in a Merchant Center announcement, saying, “The platform you use today will simply be referred to as Google Merchant Center.” For anyone managing product feeds, shopping campaigns, or merchant accounts, this is mainly a naming update rather than a product change.

I remember when Google Merchant Center Next was introduced in 2023 as the newer version of the old Google Merchant Center. Over the past few years, more merchants, site owners, and advertisers moved into that updated experience.

At this point, it appears that Merchant Center Next has effectively become the standard experience. So Google is removing the “Next” branding and returning to the simpler name: Google Merchant Center.

Rows of illuminated data cabinets and paper files stretch into the distance, capturing the pressure on marketers to turn fragmented customer data into a smarter performance engine.

Google said users will start seeing the “Next” branding removed from Help Center articles, email communications, and the Merchant Center interface.

Google also clarified that no action is required and that the name change does not affect existing accounts. In other words, I do not need to update settings, migrate anything, or make account-level changes because of this rebrand.

Why does this matter? When I talk about Google’s merchant tools now, I can leave off “Next” and just call the platform Google Merchant Center. Honestly, that is what many of us were already calling it anyway.

Inspired by this post on Search Engine Land.

July 9, 2026
Why Accessibility Is an $18 Trillion Marketing Advantage

Every so often, I see a product launch turn into a marketing lesson bigger than the product itself. Selena Gomez’s Rare Beauty did that with a new fragrance, but it was not only the scent that drew attention. The bottle became the story. Its accessible, easy-to-use packaging sparked conversation, earned praise from accessibility advocates, and reminded me how powerful inclusive design can be when it is built into the product from the start.

For me, the lesson is clear: accessibility is not a side note. It can become the campaign. One thoughtful design choice created cultural impact that would be hard to buy with media spend alone. It also showed why accessibility can build loyalty, strengthen brand reputation, support compliance, and drive measurable growth.

Accessibility as a campaign strategy

I do not see Rare Beauty’s accessibility work as a one-off moment. From packaging to pricing to its ongoing mental health advocacy, the brand has consistently made inclusivity part of its identity. That matters because consumers can usually tell when a brand is chasing attention versus when it is acting from a real strategy. They reward brands that lead with values and follow through.

Rare Beauty is not alone. I see leading brands across industries using accessibility as a differentiator, not a footnote. Apple often frames accessibility features as part of product innovation. Microsoft has brought inclusive design into mainstream campaigns, including adaptive gaming products that positioned accessibility as a source of creativity and connection. In fashion and retail, brands like Tommy Hilfiger and Unilever have put adaptive design into product launches and brand identity instead of treating it as a niche offering.

Studies from Edelman and McKinsey show why this shift matters. According to those studies, 73% of Gen Z choose to buy from brands they believe in, and 70% say they try to purchase products from companies they consider ethical. I do not see those as fringe preferences. I see them as mainstream expectations that should change how marketers build trust and growth.

The $18 trillion market marketers overlook

More than 1.3 billion people globally live with a disability. Together with their friends and family, they control more than $18 trillion in spending power, according to the Return on Disability Group. I believe marketers should view this as more than a compliance issue. It is a growth opportunity, a reputation opportunity, and a trust-building opportunity with one of the world’s largest and most passionate consumer groups.

That passion often turns into advocacy. In discussions with AudioEye’s A11iance Team, a group of individuals with disabilities who regularly share feedback on real-world accessibility experiences, one member said, “If I find a website that works and works very well for me, I will always recommend it to friends and family because I want people to have the same experience that I have.”

Another A11iance Team member, Maxwell Ivey, put it this way: “The cheapest form of advertising is word of mouth, and people with disabilities can have some of the loudest voices when we find people willing to make the effort. Because it’s that sincere effort over time that really counts with us.”

When accessibility becomes part of the customer experience, I see it create something media budgets cannot easily buy: trust and loyalty that scale through advocacy. But the reverse is also true. In a survey of assistive technology users, 54% said they do not feel eCommerce companies care about earning their business.

That should get every marketer’s attention. Too many brands are still fighting for the same crowded audience segments while overlooking a major opportunity in plain sight. When they do, they leave loyalty, advocacy, and revenue on the table.

Here is where I see many brands stumble: accessibility often stops at the shelf. Marketers invest heavily in packaging, store displays, and product design, while digital experiences lag behind. Yet those digital experiences are often the first and most important touchpoints customers have with a brand.

As accessibility-led design earns more attention, loyalty, and earned media, the gap between physical product innovation and digital experience becomes harder to ignore.

AudioEye’s 2025 Digital Accessibility Index found an average of 297 accessibility issues per web page detectable by automation alone. Each issue can create friction in the customer journey, cost a conversion, or introduce compliance risk under frameworks such as the Americans with Disabilities Act (ADA) and the European Accessibility Act (EAA).

I would not launch a campaign without a brand review or a legal check. In the same way, I do not think any digital touchpoint should go live without an accessibility review.

Four moves marketing leaders can make

Too often, I see accessibility treated as a risk to manage instead of an advantage to use. The marketers who gain ground will be the ones who change that mindset. I would start with four practical moves.

1. Make accessibility your campaign hook

I would not hide accessibility in the fine print. I would lead with it. Brands like Rare Beauty have shown that inclusive design is the story. Build campaigns where accessibility is not an afterthought, but the differentiator that earns attention and loyalty.

2. Bake it into your brand system

Accessibility should not sit off to the side. I would make Web Content Accessibility Guidelines (WCAG) alignment part of the brand system, right alongside typography, logos, and tone of voice. When accessibility is documented and expected, it becomes easier to apply across every campaign.

3. Use data as your proof point

Marketers are storytellers, but numbers strengthen the story. I would track accessibility improvements such as fewer user-reported barriers, higher accessibility scores, stronger alt text, better color contrast, and more usable forms. Then I would connect those metrics to business outcomes like conversion, reach, and sentiment to show how accessibility drives ROI, not just compliance.

4. Protect accessibility like brand safety

I would treat accessibility with the same seriousness as brand safety. Every update, seasonal campaign, and product drop should be monitored for accessibility. Trust and reputation are too valuable to leave exposed.

The competitive advantage

Rare Beauty’s fragrance launch proved something important to me: when a brand leads with accessibility, the story can write itself. Loyalty builds more authentically, and momentum feels more natural because the value is real.

The larger opportunity is that many brands still do not see it. They continue to treat accessibility as a compliance checkbox when it can be a growth strategy.

For marketers, that is the wake-up call. Accessibility builds loyalty. It strengthens brand reputation. It supports compliance. And it can drive measurable growth across marketing efforts.

Rare Beauty showed how accessibility can capture attention at the shelf. Now I see the next opportunity clearly: making sure that same accessibility carries through online. When every touchpoint welcomes everyone, every campaign has a better chance to deliver its full impact.

Inspired by this post on Search Engine Land.

July 3, 2026
Why Walmart’s ChatGPT Checkout Fell Short: Key Insights

When I first heard about Walmart’s experiment with ChatGPT’s Instant Checkout, I was intrigued. But after testing 200,000 items, Walmart discovered that conversions through this method were three times lower compared to their website.

Why This Matters: This experiment highlights an important point: traditional shopping environments still hold the crown when it comes to conversions. Even in a world dominated by AI, guiding users to owned environments proves more effective.

The Experiment Details: Starting last November, Walmart introduced around 200,000 products available for purchase directly inside ChatGPT through OpenAI’s Instant Checkout. The goal was to let users buy items without ever leaving ChatGPT.

Daniel Danker, Walmart’s EVP of Product and Design, revealed that these purchases had a conversion rate one-third lower than similar transactions on their website. He described the experience as “unsatisfying,” which prompted Walmart to reconsider their approach.

Farewell to Instant Checkout: Originally, Instant Checkout aimed to complete transactions within ChatGPT. However, OpenAI recently confirmed plans to phase it out, leaning towards merchant-handled app checkouts.

Changes on the Horizon: Walmart plans to integrate its own chatbot, Sparky, within ChatGPT. This will allow users to log into Walmart’s system, sync their carts across platforms, and finalize purchases seamlessly.

A similar integration with Google Gemini is expected next month, broadening Walmart’s technological reach.

The WIRED Report: For those interested in the comprehensive story, WIRED provides further insights into how Walmart and OpenAI are revolutionizing agentic shopping (subscription required).

Inspired by this post on Search Engine Land.

March 19, 2026
Reddit Unveils AI-Powered Shopping Boost in Search Results

I find Reddit’s new pilot program fascinating. They’re using AI to transform our beloved community recommendations into interactive, shoppable product carousels within search results.

What’s happening: Right now, a select group of U.S.-based folks, including myself, might notice these exciting product carousels popping up in search results whenever our queries suggest a buying intent, like when searching for “best noise-canceling headphones” or “top budget laptops.”

These carousels conveniently appear right at the bottom of the search results, showcasing pricing, images, and direct links to retailers. The coolest part? These products are derived from actual Reddit posts and comments rather than existing ad inventories.

For those of us interested in consumer electronics, Reddit also collects data from specific Dynamic Product Ads (DPA) partner catalogs.

How it works: The AI cleverly identifies queries with purchase intent, scans through relevant Reddit discussions for any product mentions, and arranges them into tidy, shoppable cards. When a card catches my attention, I can simply tap it to gain more information or be redirected to a retailer.

Why we care: These shopping carousels are a real game-changer for advertisers. They bring products to the spotlight right when consumers, like me, are contemplating a purchase and seeking peer approval. Unlike typical ads, here these products merge with Reddit’s trusted community vibe, making them seem more like genuine recommendations than mere advertisements.

For brands already involved in Dynamic Product Ads on Reddit, this development offers a seamless pipeline from community buzz directly to action.

Between the lines: Reddit is really onto something big here, doing what many competitors have struggled to achieve—using organic, community-driven content as the foundation for a shopping experience, rather than depending solely on targeted advertising.

This approach is ingenious because consumers, myself included, are becoming warier of sponsored content. Reddit’s value relies on authentic community engagement, and by integrating that into a shopping feature, it elevates their credibility beyond traditional retail media networks.

The big picture: Retail media is booming, and platforms catering to audiences with high purchase intent are in a race to claim their portion of the pie. With Reddit’s increasing search traffic, especially after partnering with Google, this development seems like the perfect next step.

The bottom line: Reddit is testing how it can turn search intent directly into transactions, making it smoother for users like me to transition from recommendations to purchase, all while staying within the community context that fosters trust.

Dig deeper: Check out the official statement on Reddit’s innovative shopping experience: In Case You Saw It: We are Testing a New Shopping Product Experience in Search

Inspired by this post on Search Engine Land.

February 19, 2026
Maximize Ecommerce Success with Demand Gen & Performance Max

When Google introduced Demand Gen campaigns in 2023, I saw them as a promising way to boost engagement across platforms like YouTube, Discover, and Gmail.

Initially, they felt experimental, straddling the line between awareness and performance, but they’ve come a long way since.

Now, the creative flexibility and enhanced audience control make Demand Gen a go-to campaign type for my ecommerce clients.

This strategy allows me to scale revenue in a controlled manner, maintaining brand consistency while testing creative approaches to drive conversions.

I’ve found that Demand Gen delivers the best results when strategically paired with Performance Max and Search campaigns.

Advertising with Demand Gen is ideal if you crave more control.

One major drawback of Performance Max is its lack of transparency and manual control.

If precise targeting, placement, or creative control is essential, Demand Gen stands out as the better option.

Performance Max auto-generates ads from your uploads, relying on Google’s AI to mix and match for the best performance.

This makes it crucial to provide top-notch creative assets.

For example, a fitness brand might create separate asset groups for products like leggings, shorts, and vests.

While this helps target relevant audiences, the control isn’t exhaustive.

However, Demand Gen offers far superior flexibility.

It allows me to upload, preview, and tweak ad combinations before launch, adapting each creative to its unique placement.

For instance, I can customize YouTube ads for in-feed, in-stream, and Shorts placements.

This control is perfect for ecommerce brands focusing on creative precision, message testing, and maintaining a strong visual identity.

Dig deeper: The Google Ads Demand Gen playbook

Using Demand Gen alongside Performance Max can be incredibly effective if you leverage their roles within the customer journey. They enhance each other rather than compete.

Demand Gen builds awareness and sparks interest by reaching higher-funnel audiences before they actively start product searching.

Conversely, Performance Max focuses on converting lower-funnel users who are primed to purchase.

For example, a fitness retailer might utilize Demand Gen for lifestyle videos and discovery ads promoting their latest activewear.

When a potential customer begins to research or exhibit purchase intent, Performance Max engages with tailored Shopping and Search ads to finalize the sale.

I’ve set up feed-only Performance Max campaigns, providing only a product feed within the asset group.

This restricts Performance Max activities to Shopping placements, focusing it sharply on direct conversions.

Meanwhile, Demand Gen operates across platforms like YouTube, Gmail, Discover, and Shorts, covering the upper and mid-funnel with more visual, creative content focused on awareness.

This configuration minimizes overlap between campaign types while ensuring user engagement throughout the funnel, from brand discovery to purchase.

For larger accounts with flexible budgets, this dual structure drives holistic performance and clearer attribution.

In contrast, smaller accounts seeking efficiency should prioritize mastering high-intent campaigns before layering in Demand Gen once the core conversions are stable.

The diverse campaign types now offer advertisers more flexibility than ever, yet it requires understanding Google’s restructuring of video and discovery products.

Dig deeper: Why Demand Gen is the most underrated campaign type in Google Ads

Since July 2025, Google’s Video Action Campaigns (VACs) have been replaced by Demand Gen.

It streamlines Google’s visual placements into one campaign type, including YouTube in-stream, Shorts, in-feed, Gmail, and Discover.

This change is significant. VAC was successful for ecommerce, particularly for conversion-centric video. Its removal underscores Google’s encouragement to embrace Demand Gen.

The advantage is that Demand Gen provides stronger creative control and diverse testing options across YouTube placements.

If you previously ran VAC campaigns, they are now under Demand Gen. Ensure your top-performing assets and audiences have migrated correctly, then use the new controls to optimize performance.

Audience control is a significant benefit of Demand Gen, and it’s a reason why I consistently use it for ecommerce.

Demand Gen allows precise audience creation, letting me decide who sees the ads.

I can select placements, merge audience types, and allocate the budget strategically.

It’s the only Google Ads campaign type supporting lookalike audiences, valuable for brands focused on acquiring quality leads.

While Performance Max utilizes audience signals over fixed targeting, Demand Gen excels for control, testing, and segmentation strategies.

In mid-2025, Google rolled out an open beta for advertisers to opt out of specific Demand Gen channels manually.

This means I can now control ad display, excluding Discover or YouTube Shorts if they don’t align with my objectives or creative format.

This small but significant update offers more control, a feature often lacking in many of Google’s automated campaign types.

Dig deeper: Google Ads rolls out channel control for Demand Gen campaigns

In early 2025, Google introduced product feed integration for Demand Gen campaigns. This change allows me to link the Google Merchant Center feed, incorporating live product data directly into visual ads.

This development bridges performance and branding for ecommerce, enabling storytelling through creative visuals while displaying actual products.

For instance, a fashion retailer can showcase a new collection in a video advert while featuring shoppable product cards below.

This update positions Demand Gen as a hybrid between Shopping and Display, a much-anticipated capability among ecommerce advertisers.

Demand Gen typically demands a larger budget than other campaign types.

Google recommends starting at about £100 per day per campaign or 20 times your target CPA/tROAS, whichever is higher.

Practically, the £100-per-day baseline is a viable starting point for effective data collection and optimization. Lower budgets restrict data flow and slow progress.

Demand Gen complements your broader Google Ads strategy, rather than replacing Search or Performance Max.

It’s a premium, visually led campaign type that boosts awareness leading to conversions, particularly effective when you have accurate measurement, a clean product feed, and clearly defined audiences.

The table compares Demand Gen and Performance Max on key aspects that matter to advertisers.

Dig deeper: Google pushes Demand Gen deeper into performance marketing

Performance Max excels in scale but can be opaque.

Demand Gen offers the control advertisers have demanded—genuine creative testing, audience precision, and placement visibility.

For sustainable ecommerce growth, I recommend using both. Performance Max captures demand, while Demand Gen creates it.

Together, they form a comprehensive framework for scalable and sustainable growth.

Inspired by this post on Search Engine Land.

January 22, 2026
Discover Google’s Universal Commerce Protocol: Revolutionizing AI Shopping
Have you heard the news? Google has just launched the Universal Commerce Protocol (UCP), an innovative open standard that integrates AI agents throughout the entire shopping experience. From discovering products to making purchases and even receiving support after the sale, UCP facilitates it all.

In exciting developments for retailers, Google is also rolling out new AI tools. These include branded shopping agents and ad formats that enhance AI-driven discovery, making the shopping experience more streamlined and engaging.

About UCP

This protocol offers a common language for AI agents and commerce systems, greatly simplifying the need for custom integrations across different platforms.
- UCP is compatible with existing standards like Agent2Agent and the Model Context Protocol.
- The protocol was co-developed with prominent partners such as Shopify, Etsy, Wayfair, and Target.
- It’s already endorsed by over 20 additional companies in the retail and payments sectors.
What’s Changing

The UCP is set to enhance the checkout experience for Google product listings via AI Mode in Search and the Gemini app. Shoppers can make purchases through Google Pay, with options to use saved payment and shipping details. Integration with PayPal is also on the horizon.
- Google aims to lower cart abandonment and provide retailers with tailored integration options suited to their needs.
- Upcoming features include loyalty rewards and personalized shopping experiences.
Business Agent

In tandem with UCP, Google is unveiling the Business Agent, a branded AI assistant that provides shoppers with direct interaction opportunities on Search. Think of it as a virtual sales associate offering real-time responses in your brand’s own tone.
- Major retailers like Lowe’s, Michael’s, Poshmark, and Reebok are already on board. Future capabilities may include deeper customization, data training, and a seamless agent-led checkout.
Direct Offer

Google is also testing Direct Offers, a fresh initiative within Google Ads tailored for AI adoption. When AI senses that a shopper is likely to make a purchase, a special discount can be presented.
- This pilot will soon expand to incorporate offers such as product bundles, complimentary shipping, and more enticing incentives.
Why It Matters

The rise of agent-led shopping reshapes where and how buying choices are made. Google’s new AI tools and protocols are taking the lead, allowing advertisers to influence these pivotal moments during an AI-driven shopping journey.

Tools like Direct Offers and branded agents create new pathways for advertisers to finalize sales efficiently, all while safeguarding profit margins. The balance between conversion improvements and losses in direct site traffic remains an open discussion.

Bottom Line

According to Google, agentic shopping is unstoppable. With innovations like UCP and its complementary retail tools, Google ensures that AI-driven commerce remains inclusive and accessible, keeping retailers engaged as agents transform the buying landscape.

Inspired by this post on Search Engine Land.
January 11, 2026
Boost Your Visibility with ChatGPT’s Commerce Feed Optimization

I’ve discovered some fantastic insights on how to effectively submit and optimize product feeds for ChatGPT’s agentic commerce system. This is crucial for keeping your products visible, enhancing ranking, and minimizing conversion loss.

Let me guide you through the process, so you can stay ahead of the competition and ensure your feeds are optimized to meet the latest standards. It’s essential for any business aiming to leverage the full potential of ChatGPT in boosting their ecommerce success.

Inspired by this post on HiGoodie Blog.

December 29, 2025