Communications firm Zilker Media has introduced a new AI Discoverability Ecosystem, a communications framework designed to help companies improve their visibility and credibility within AI-powered search environments. The initiative reflects a growing shift in digital marketing strategy as generative AI systems increasingly influence how users discover brands, information, and expert voices online.

The launch of the AI Discoverability Ecosystem by Zilker Media signals a strategic shift in how public relations and brand marketing are adapting to an AI-driven information landscape.

As generative AI platforms reshape the discovery process for business information, companies are increasingly realizing that traditional SEO alone may not be enough to maintain visibility. Instead, credibility signals across media coverage, content ecosystems, and digital platforms are becoming critical for influencing how AI systems evaluate authority.

The new framework was announced as the agency marks its ninth year in operation. According to the firm, the offering formalizes strategies it has already been applying for clients as generative AI platforms such as ChatGPT, Claude, and Google AI Overviews increasingly shape how information is surfaced online.

The Rise of AI-Driven Brand Discovery

Search behavior is evolving rapidly as AI assistants and generative search features begin synthesizing information rather than simply listing links.

Instead of navigating traditional search results pages, users now frequently receive summarized answers that draw from multiple sources across the web. In this model, visibility is determined not only by search rankings but by the authority signals that AI systems identify when generating responses.

For brands, that shift introduces a new strategic challenge: ensuring that their expertise, leadership, and credibility are visible not just to search engines but to large language models and AI knowledge systems.

According to research from Gartner, traditional search engine volume could decline significantly over the next several years as conversational AI interfaces increasingly become the entry point for information discovery.

Within that environment, communications strategies must extend beyond conventional SEO tactics to include generative engine optimization (GEO)—a discipline focused on ensuring that brands are recognized as authoritative entities within AI-generated responses.

Inside the AI Discoverability Ecosystem

Zilker Media’s framework combines several components designed to strengthen the signals that AI systems use to evaluate brand credibility.

The approach integrates three primary media layers—earned, owned, and rented—within a unified strategy aimed at increasing authority across the digital ecosystem.

AI Discoverability Audits serve as the starting point. These assessments analyze how brands currently appear across search engines, social media platforms, and AI systems. The goal is to identify visibility gaps and opportunities to strengthen authority signals.

The next layer focuses on earned media and public relations, including placements in national and trade publications, podcast appearances, industry awards, and executive thought leadership initiatives. These third-party validations often serve as critical training signals for AI models evaluating the credibility of entities and organizations.

The ecosystem also emphasizes owned media optimization, which includes restructuring website content, executive thought leadership articles, and blog content so that expertise is clearly expressed and easily understood by both search engines and AI systems.

Finally, rented channels—such as social media platforms, partnership networks, and external publishing platforms—are used to amplify authority signals and extend visibility across digital ecosystems.

Why Authority Signals Matter for AI

The concept of AI discoverability is closely tied to how large language models process information.

Modern AI systems are trained on massive datasets containing news coverage, blogs, academic papers, and structured knowledge sources. When these systems generate answers, they rely heavily on patterns of credibility and consistency across multiple sources.

For example, if a company consistently appears in high-authority media outlets, maintains expert-driven website content, and has recognized leadership voices in its industry, AI systems are more likely to reference or recommend that company in generated responses.

Conversely, brands with fragmented digital footprints or limited authoritative coverage may struggle to appear in AI-generated answers—even if they rank well in traditional search.

This dynamic is creating a new intersection between public relations, content marketing, and search strategy.

The Expanding Role of PR in the AI Era

The rise of AI-powered discovery tools is prompting many communications firms to rethink their approach to digital visibility.

Historically, PR focused primarily on reputation management and media relationships. In an AI-driven landscape, those functions are expanding to include data visibility, knowledge graph presence, and entity recognition across digital platforms.

Major marketing ecosystems are already integrating AI into discovery and analytics tools. Platforms from companies such as Google and Microsoft increasingly rely on AI-driven search experiences that summarize information directly for users.

At the same time, marketing platforms from vendors like Adobe and Salesforce are embedding generative AI capabilities within content creation, campaign automation, and analytics systems.

Within this ecosystem, the role of communications strategies is expanding from storytelling and reputation building to influencing how brands appear within AI-generated knowledge environments.

Building Consistent Credibility Signals

Zilker Media’s approach reflects a broader marketing principle that has become increasingly relevant in the AI era: credibility signals must be consistent across every digital touchpoint.

If a company’s messaging, leadership voice, and industry expertise appear fragmented across different platforms, AI systems may struggle to identify clear authority signals.

Conversely, when a brand demonstrates consistent expertise across press coverage, executive content, social channels, and owned media, those signals reinforce each other—strengthening the likelihood that AI systems recognize the brand as a credible source.

This concept aligns with broader trends in entity-based SEO and generative engine optimization, where digital authority is increasingly determined by the interconnected presence of entities across trusted platforms.

A New Visibility Playbook

For marketing leaders, the implications of AI discoverability are significant.

Traditional SEO strategies focused on keyword optimization and link-building are evolving into more comprehensive authority-building initiatives that incorporate PR, thought leadership, and digital content strategy.

Research from Statista suggests that AI adoption across marketing departments continues to accelerate, with companies investing heavily in tools that help automate analytics, personalization, and content generation.

As AI systems become central to information discovery, the brands most likely to succeed may be those that build holistic authority ecosystems rather than relying on isolated marketing tactics.

Zilker Media’s new offering reflects that shift, positioning AI discoverability not as a standalone tactic but as a coordinated strategy spanning media relations, content infrastructure, and digital presence.

Market Landscape

The convergence of AI search, generative content platforms, and conversational assistants is reshaping how businesses approach digital visibility.

According to research from IDC, global spending on artificial intelligence technologies could surpass $300 billion by 2026, with marketing, customer experience, and data analytics platforms among the fastest-growing categories.

At the same time, generative search experiences are changing how users access information online. Rather than navigating multiple websites, users increasingly rely on AI-generated summaries that synthesize information from trusted sources.

This shift is giving rise to new marketing disciplines—including generative engine optimization (GEO) and AI discoverability strategy—designed to ensure brands remain visible within AI-driven knowledge environments.

Top Insights

• Zilker Media has launched an AI Discoverability Ecosystem, a framework designed to help brands improve visibility and authority within AI-powered search platforms and generative information systems.

• The framework integrates earned, owned, and rented media channels, combining PR placements, content strategy, and digital amplification to strengthen authority signals recognized by AI systems.

• AI discoverability strategies focus on ensuring brands appear credible across search engines and AI assistants, including platforms like ChatGPT, Claude, and Google’s AI-driven search features.

• The initiative reflects broader shifts in marketing toward generative engine optimization, where brand authority and media credibility influence how AI systems generate answers and recommendations.

• As AI increasingly mediates digital discovery, integrated PR and content strategies are emerging as key tools for ensuring brands remain visible and trusted in AI-generated results.

Get in touch with our MarTech Experts.

Creative AI startup RYA has introduced RYA 2.0, a new version of its audience intelligence platform designed to help marketers predict the potential impact of advertising campaigns before they reach the market. The platform combines proprietary audience data, AI-assisted creative generation, and a new evaluation model called RYA Score to help brands assess whether a marketing concept is likely to resonate with audiences before investing in production or media spend.

As generative AI tools reshape the marketing industry, a growing challenge has emerged: the risk that AI-generated content begins to look increasingly similar across brands. With many marketing teams relying on the same underlying models powering platforms like ChatGPT and other generative tools, differentiation has become harder to achieve.

RYA 2.0 attempts to address that challenge by focusing not just on content generation but on predictive audience intelligence—an approach that aims to evaluate the cultural and emotional resonance of marketing ideas before campaigns are launched.

Developed by RYA, the platform is positioned as a creative AI partner designed specifically for marketing teams. Unlike general-purpose generative AI systems, the platform combines AI models with proprietary audience datasets built over nearly a decade.

From Creative Agency to AI Platform

RYA originated within a creative agency environment, where marketers faced a recurring challenge: translating audience insights into effective creative campaigns quickly.

Traditional campaign development cycles often require weeks of research, strategic planning, and creative exploration. According to the company, early versions of the RYA platform already reduced this timeline from six to eight weeks of strategy work to roughly a day.

With the release of RYA 2.0, the company is expanding beyond insight generation into predictive campaign evaluation.

The central feature of the new platform is the RYA Score, a proprietary framework designed to measure the likely cultural impact of a marketing concept. The system evaluates creative ideas across two key dimensions:

• Radical (R-Score) — measuring how bold or attention-grabbing an idea is
• Acceptable (A-Score) — measuring how likely the idea is to remain aligned with audience expectations and brand safety

The combination produces an overall RYA Score, which attempts to forecast how audiences will react to a campaign before it is launched.

For marketers, the concept addresses a long-standing tension in advertising strategy: campaigns must push boundaries enough to attract attention, yet remain relatable enough to avoid alienating audiences.

The Data Behind the Platform

One of the platform’s key differentiators is its underlying data model.

While many generative AI tools rely heavily on large internet datasets scraped from publicly available sources, RYA says its platform is trained on proprietary audience passion data collected directly from real participants.

The dataset is built from weekly surveys of roughly 1,000 individuals, conducted by PhD researchers and designed to track evolving cultural interests, emotional triggers, and emerging trends across audience segments.

This approach allows the platform to map creative ideas against behavioral signals rather than simply generating content from statistical patterns in web data.

The system also incorporates insights from creative professionals across multiple industries, including leaders from agencies such as:

• BBDO
• Ogilvy
• Wieden+Kennedy

By combining expert interviews with audience behavior data, the platform attempts to bridge the gap between creative intuition and predictive analytics.

Introducing RYA Chat

Another major component of the new platform is RYA Chat, a conversational interface designed to guide marketers through campaign development.

The tool functions as a context-aware AI workflow where users can explore audience trends, test creative concepts, and refine campaign messaging in real time.

Through the interface, marketing teams can:

• identify emerging cultural trends tied to passion-based audience segments
• develop campaign positioning frameworks
• generate creative ideas across multiple channels
• test and refine messaging based on predictive audience feedback

The result is a continuous dialogue between marketers and the AI system, designed to simulate a collaborative creative process rather than a one-time content generation task.

Why Predictive Creativity Matters

The release of RYA 2.0 comes at a moment when AI adoption across marketing departments is accelerating rapidly.

Research from Gartner indicates that more than 70% of marketing organizations are experimenting with generative AI for content creation and campaign development.

Yet the widespread adoption of similar AI tools has also introduced new strategic risks.

When marketing teams rely on the same AI models trained on the same datasets, creative outputs can converge—leading to campaigns that feel interchangeable across brands.

This phenomenon has become particularly visible in digital advertising and social media campaigns, where AI-generated visuals, copy, and storytelling patterns increasingly resemble each other.

RYA’s approach reflects a broader shift in the AI landscape: competitive advantage is moving from access to algorithms toward access to proprietary data.

A Changing Role for Agencies and Marketing Platforms

The introduction of platforms like RYA 2.0 also highlights an evolving relationship between marketing agencies and technology platforms.

Traditionally, agencies built value through creative strategy and campaign execution. Increasingly, however, agencies are developing technology-driven platforms that package their expertise into scalable tools.

Large marketing ecosystems—including platforms from Adobe and Salesforce—have already embedded AI across marketing automation, customer data platforms, and analytics tools.

But those systems tend to focus on optimization and personalization, rather than evaluating the core creative concept behind a campaign.

Platforms like RYA are attempting to move AI further upstream in the marketing process—into the earliest stages of idea generation and creative strategy.

The Future of Audience Intelligence

If predictive creative tools prove reliable, they could fundamentally reshape how marketing campaigns are developed.

Instead of relying primarily on instinct, focus groups, or post-launch analytics, brands could evaluate multiple campaign concepts before committing to production budgets.

This approach aligns with broader industry trends around data-driven marketing strategy.

According to research from Statista, global spending on AI in marketing is expected to grow significantly through the end of the decade as companies invest in predictive analytics, automation, and AI-assisted creativity.

For marketers, the long-term goal is clear: reduce uncertainty while preserving creative originality.

RYA’s leadership believes the platform’s evolution reflects a shift in how AI should support creative work.

As CEO and co-founder Mark Himmelsbach explained, the company’s journey from agency to platform revealed an unexpected insight: the most valuable asset was not the creative tools themselves but the data infrastructure built around audience behavior and cultural trends.

In a marketing environment where generative AI tools are rapidly commoditizing, platforms grounded in proprietary intelligence may become the next competitive frontier.

Market Landscape

The marketing technology sector is undergoing a rapid transformation as artificial intelligence becomes embedded across campaign strategy, audience analytics, and content production.

Research from IDC estimates that global spending on AI technologies could surpass $300 billion by 2026, with marketing and customer experience platforms among the fastest-growing segments.

Within this environment, audience intelligence platforms are evolving beyond traditional segmentation tools. Modern systems increasingly combine behavioral data, predictive analytics, and generative AI to guide both strategic planning and creative execution.

The emergence of platforms like RYA 2.0 signals a new category within martech: predictive creative intelligence, where AI helps evaluate not just audience targeting but the cultural impact of campaign ideas themselves.

Top Insights

• RYA 2.0 introduces a predictive audience intelligence platform, enabling marketers to evaluate the likely cultural impact of creative campaigns before investing in production or media spending.

• The platform’s proprietary RYA Score evaluates campaign ideas across radical and acceptable dimensions, helping marketing teams balance bold creativity with audience resonance.

• RYA combines generative AI with proprietary audience passion data collected weekly from surveyed participants, creating a dataset designed to capture real-world behavioral signals.

• RYA Chat provides a conversational AI interface for campaign development, allowing marketers to explore audience insights, refine creative strategies, and generate multi-channel campaigns in real time.

• The launch reflects a broader shift in marketing AI toward proprietary data advantage, as generative models become increasingly commoditized across the industry.

Get in touch with our MarTech Experts.

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U.S. communications firm 5W Public Relations has been named a finalist in the 2026 North America edition of the SABRE Awards for its B2B marketing campaign with enterprise AI platform provider AISquared. The nomination highlights a communications strategy that helped elevate the AI infrastructure startup’s profile within the rapidly expanding enterprise artificial intelligence ecosystem.

Recognition from the North American SABRE Awards places the campaign among the public relations industry’s most visible examples of strategic B2B communications. Organized by PRovoke Media, the awards program honors campaigns that demonstrate measurable impact in branding, reputation management, and stakeholder engagement.

The finalist nomination recognizes a campaign titled “Putting AI Squared On The Map,” which focused on establishing AISquared as a visible voice in enterprise artificial intelligence discussions. The company develops software designed to operationalize AI systems within enterprise environments—particularly where machine learning models must integrate with complex data pipelines, compliance frameworks, and business workflows.

The campaign was led by 5W Public Relations, one of the largest independently owned public relations firms in the United States. According to the agency, the strategy emphasized executive thought leadership, targeted media outreach, and rapid-response commentary tied to evolving discussions around AI adoption in enterprise settings.

In practical terms, that meant positioning AISquared executives in conversations around workforce transformation, data infrastructure modernization, and the broader shift toward production-scale AI deployment.

Elevating Visibility in the Enterprise AI Market

Enterprise adoption of artificial intelligence has accelerated significantly over the past two years. Organizations across sectors are attempting to move beyond experimental machine learning projects toward operational AI systems that directly support decision-making, automation, and customer engagement.

This transition—from pilot projects to production AI—has created demand for infrastructure platforms that connect models with enterprise data environments. Companies such as Microsoft, Google, and Amazon have expanded their enterprise AI ecosystems, while startups and specialist vendors are focusing on orchestration, governance, and data integration layers.

AISquared positions its platform within this infrastructure category. The company’s software is designed to embed machine learning insights directly into operational workflows—such as CRM platforms, data dashboards, or internal applications—without requiring users to interact directly with model outputs.

For enterprise marketing and analytics teams, this type of integration can allow predictive models or AI-driven recommendations to appear directly inside tools already used by analysts and decision-makers.

Industry research suggests demand for this type of operational AI capability is rising rapidly. According to Gartner, more than 55% of enterprises are expected to move AI models into production environments by 2026, compared with fewer than 30% just a few years earlier.

Media Strategy and Campaign Execution

Within that evolving landscape, the communications campaign led by 5W focused on positioning AISquared executives as subject-matter experts in AI adoption challenges.

The program combined thought leadership placements, proactive media relations, and rapid commentary tied to breaking AI news cycles. The agency reported securing 165 media placements during 2025, with coverage appearing in outlets such as:

• The Wall Street Journal
• Fast Company
• Barron's
• Fortune

The approach relied heavily on “newsjacking,” a communications tactic in which companies respond quickly to emerging industry news with expert commentary.

In AI-related sectors—where regulatory debates, product launches, and ethical discussions frequently dominate headlines—timely commentary can significantly increase visibility for emerging technology vendors.

Business Impact and Growth Metrics

The visibility generated by the campaign coincided with a year of rapid expansion for AISquared.

According to the company, annual recurring revenue (ARR) grew by 1,100% in 2025, while net revenue retention exceeded 115%. The firm also reported expanding its customer base by four times across commercial, regulated, and federal sectors.

While growth metrics in emerging AI companies often reflect broader market demand, increased media exposure can play a meaningful role in enterprise sales cycles—particularly in categories where buyers rely heavily on credibility signals.

Enterprise technology procurement decisions frequently involve months of vendor evaluation, proof-of-concept testing, and executive approval. Media visibility and thought leadership can therefore function as an early trust-building mechanism.

The Role of PR in the AI Economy

The nomination also reflects a broader shift in how AI companies approach communications.

In earlier technology cycles, product announcements often drove media attention. In the current AI market, however, the conversation increasingly revolves around strategy, governance, and real-world impact.

As a result, companies that can articulate how AI fits into enterprise workflows—rather than simply highlighting algorithmic capabilities—tend to attract stronger engagement from business audiences.

That dynamic is particularly relevant in sectors intersecting with marketing technology and customer data infrastructure. Platforms used by marketing teams increasingly incorporate machine learning features ranging from predictive segmentation to automated content generation.

Large enterprise platforms such as Salesforce and Adobe have embedded AI capabilities across marketing clouds, analytics suites, and customer data platforms. As those ecosystems expand, specialized AI infrastructure vendors are emerging to bridge gaps between models, data, and operational tools.

Industry Recognition and Upcoming Awards

The winners of the 2026 North America SABRE Awards will be announced on May 5 during a ceremony at Cipriani 42nd Street in New York.

The awards are widely considered among the public relations industry's most prestigious recognitions, evaluating campaigns across criteria including creativity, execution quality, and measurable business outcomes.

For agencies working in technology communications, finalist recognition often reflects the increasing importance of strategic storytelling in shaping how emerging technologies—particularly artificial intelligence—are understood by enterprise audiences.

Market Landscape

The enterprise AI market is rapidly evolving as organizations seek ways to integrate machine learning models into real-world operations rather than isolated data science projects.

Research from IDC estimates that global spending on AI-centric systems could exceed $300 billion by 2026, driven largely by enterprise automation, predictive analytics, and AI-powered decision tools.

In marketing technology specifically, AI is becoming a core component of modern digital infrastructure—from predictive audience segmentation to automated campaign optimization. As a result, vendors that can bridge AI models with operational data systems are increasingly positioned as strategic infrastructure providers.

For communications agencies working with AI startups, this environment creates opportunities to frame companies not simply as software vendors but as contributors to broader discussions about workforce transformation, governance, and enterprise data strategy.

Top Insights

• 5W PR’s campaign for AISquared earned finalist recognition at the 2026 SABRE Awards, highlighting how strategic communications can elevate emerging enterprise AI platforms within competitive technology markets.

• The campaign centered on executive thought leadership and rapid-response media engagement, positioning AISquared within broader discussions around AI adoption, enterprise data infrastructure, and workforce transformation.

• AISquared reported significant business growth during the campaign period, including 1,100% ARR growth and a fourfold increase in customers across commercial and regulated markets.

• Enterprise demand for operational AI infrastructure is accelerating, as companies move from experimental machine learning models toward fully integrated AI-powered workflows.

• The nomination underscores the growing role of strategic PR in the AI economy, where visibility, credibility, and narrative positioning increasingly influence enterprise adoption decisions.

Get in touch with our MarTech Experts.

AcquireUp has released its 2026 Industry Index, revealing how financial advisors are modernizing client acquisition strategies by combining traditional referral marketing and educational seminars with automation and AI tools. Based on insights from more than 500 financial professionals, the report highlights how advisors are building repeatable growth systems to generate new client relationships and net new assets while operating with lean teams.

The findings underscore a key industry shift: rather than relying solely on digital advertising or aggressive lead-generation tactics, many advisors are focusing on structured referral programs, event-driven engagement, and automation-powered marketing workflows.

Client acquisition remains one of the most critical challenges for financial advisors seeking sustainable business growth.

According to the 2026 Industry Index from AcquireUp, roughly 66% of financial professionals plan to grow their client base within the next three years. However, many firms must pursue that growth with limited marketing resources and small internal teams.

The report suggests that success is increasingly tied to systematizing proven client acquisition channels rather than experimenting with entirely new marketing strategies.

Referrals Still Deliver the Highest ROI

Despite the expansion of digital marketing tools, referrals remain the most powerful client acquisition channel for financial advisors.

The study found that 48% of financial professionals identify networking and referrals as their highest-return growth channel.

However, there is a significant gap between reliance on referrals and structured programs designed to support them.

The research revealed that 52% of advisors do not have a formal referral program, meaning many firms depend on informal client recommendations rather than consistent referral systems.

According to Greg Bogich, CEO of AcquireUp, the issue for many advisors is not a lack of leads but a lack of consistent processes.

Advisors who build structured systems around referrals and follow-up communication often see more predictable growth in client acquisition.

Automation and Technology Expand Advisor Capacity

Technology is playing a growing role in helping advisors scale marketing and client engagement without expanding headcount.

The report found that 41% of advisors plan to adopt technology tools to automate marketing activities, client communication, and operational processes.

Automation tools are commonly used for:

• email marketing campaigns
• client follow-ups
• appointment scheduling
• marketing workflow management

These technologies allow advisors to streamline administrative tasks while dedicating more time to strategic client conversations.

Major financial services technology platforms such as Salesforce and HubSpot have introduced automation tools specifically designed for financial advisory firms.

Seminars Continue to Generate Qualified Prospects

Educational seminars remain a core part of many financial advisors’ client acquisition strategies.

The report indicates that seminar-based marketing contributes roughly 25% of benchmark production among advisors who use event-based marketing strategies.

These seminars typically involve educational presentations about financial planning, retirement strategies, or investment management.

They are often hosted in community venues or restaurants, creating a trust-focused environment where prospective clients can interact directly with advisors.

Hybrid engagement models are also becoming common. The study found that 34% of advisors conduct more than half of their business online, combining digital meetings with in-person events.

This blended strategy enables advisors to maintain personal relationships while reaching a broader audience.

AI Supports Marketing and Operations

Artificial intelligence is also gaining traction among financial professionals.

The report shows that 40% of advisors are now using AI tools, primarily for marketing support, operational efficiency, and communication management.

Common AI applications include:

• marketing content generation
• email communication automation
• CRM data analysis
• workflow optimization

However, technology is not replacing human interaction in financial advisory relationships.

Nearly 47% of advisors say managing client emotions and expectations during market volatility remains their biggest relationship challenge.

This highlights the continued importance of trust and personal judgment in financial services.

Building Repeatable Growth Systems

The report concludes that the next phase of advisor growth will be driven by building structured systems around strategies that already work.

These systems typically include:

• formal referral programs
• repeatable seminar marketing frameworks
• automated follow-up processes
• CRM-driven client relationship management

By combining trusted relationship-building strategies with modern marketing technology, advisors can create predictable and scalable client acquisition models.

AcquireUp’s platform aims to help financial advisors turn these strategies into repeatable growth engines that generate consistent lead flow and long-term client relationships.

Key Insights

• AcquireUp’s 2026 Industry Index surveyed more than 500 financial professionals about client acquisition strategies.
• Referrals remain the most effective growth channel, yet more than half of advisors lack formal referral programs.
• Automation and marketing technology are helping advisors scale operations without expanding teams.
• Educational seminars continue to generate qualified leads and account for a meaningful share of advisor production.
• AI is increasingly used to support marketing and operations, though human relationships remain central to financial advice.

Get in touch with our MarTech Experts.

Designkit has launched a new AI-powered e-commerce design platform aimed at helping global sellers produce high-quality product visuals faster and at significantly lower cost. The platform combines generative AI image creation with advanced photo editing tools, enabling merchants to generate complete product image sets—including lifestyle visuals, white-background photos, and promotional assets—from a single prompt.

The launch addresses a growing challenge in digital commerce: producing conversion-ready product imagery at scale without the time and cost constraints of traditional photography studios.

High-quality product visuals have become one of the most important conversion factors in online retail. From marketplace listings to social commerce campaigns, compelling imagery often determines whether a shopper clicks “buy.”

However, creating professional product images traditionally requires expensive photography studios, specialized equipment, and long production timelines.

To simplify this process, Designkit has introduced a comprehensive AI-driven design platform that allows sellers to produce e-commerce product visuals in hours instead of days.

The platform combines two integrated toolsets designed to automate the entire product image production workflow.

Generative AI Suite for Product Visual Creation

The first component is Designkit’s Generative AI Suite, which enables sellers to generate complete product listing visuals from a single text prompt.

Using generative AI, the system automatically produces multiple types of product imagery, including:

• white-background product shots
• lifestyle scenes
• product-in-use images
• promotional marketing visuals

This approach allows sellers to rapidly create listing-ready visuals without requiring physical product photoshoots.

The system also supports high-volume batch processing, allowing merchants and agencies to generate imagery for hundreds of products simultaneously.

Built for Global E-Commerce Localization

A key feature of the platform is its localization capability.

Designkit’s AI engine can adapt visuals and product content for different regional markets, supporting five major languages:

• English
• Spanish
• Portuguese
• Chinese
• Indonesian

Localization extends beyond translation, enabling the system to adjust visual style, layout preferences, and cultural design elements to align with regional consumer expectations.

For global sellers operating on platforms like Amazon, Shopify, and Walmart Marketplace, this functionality can significantly accelerate international product launches.

Specialized AI Tools for E-Commerce Content

The generative suite includes several specialized tools designed for different product categories and marketing formats.

These include:

AI Fashion Model Generator
Allows apparel brands to generate virtual models and create try-on visuals without physical photoshoots.

AI Product Photography Generator
Creates realistic product backgrounds instantly, eliminating the need for studio photography.

Product Video Generator
Enables sellers to create short promotional videos optimized for social commerce platforms like TikTok and Instagram.

AI Product Detail Page Design
Automatically generates A+ style product detail pages for marketplace listings.

These tools allow merchants to create complete visual merchandising assets for product listings and marketing campaigns.

AI Photo Editor Suite for Final Optimization

In addition to generative design capabilities, the platform also includes an AI Photo Editor Suite for refining images.

The editing suite features five core tools:

• background remover
• background generator
• object remover
• image enhancement tools
• text and design element integration

These tools allow sellers to finalize images for publication across marketplaces and digital storefronts.

The integrated workflow helps compress image production timelines from days to hours.

Why Product Visuals Matter for E-Commerce Conversion

Product imagery has become increasingly important as online shopping continues to grow globally.

According to research from Statista, global e-commerce sales are expected to surpass $6 trillion annually within the next few years, intensifying competition among online retailers.

Studies from Baymard Institute also show that high-quality product images significantly improve customer confidence and reduce return rates by helping shoppers better understand product features.

For merchants managing hundreds or thousands of SKUs, scalable visual content production is becoming a critical operational challenge.

AI-powered design platforms aim to solve that problem by automating the creation and optimization of product visuals.

Toward an Operating System for the Digital Shelf

According to Designkit’s leadership, the company plans to expand the platform beyond image generation and editing.

Future product updates are expected to include:

• automated product description generation
• marketplace compliance checks
• listing optimization tools
• enhanced product content localization

The long-term goal is to develop a comprehensive operating system for digital retail listings, helping sellers manage all aspects of visual and content merchandising.

Key Insights

• Designkit has launched a global AI-powered platform designed to automate e-commerce product visual creation.
• The platform includes a Generative AI Suite for image generation and an AI Photo Editor Suite for image refinement.
• Merchants can generate full product listing visuals—including lifestyle images and marketing assets—from a single prompt.
• Localization features support multiple languages and regional design preferences.
• The platform aims to evolve into a broader digital shelf management system for global e-commerce sellers.

Get in touch with our MarTech Experts.

Doba has introduced Doba Pilot, a unified AI-powered platform designed to consolidate the core tools required to run a dropshipping business into a single interface. The system enables online merchants to manage store creation, product discovery, inventory synchronization, and listing generation using natural language commands.

With the launch of Doba Pilot, the company aims to evolve from a supplier directory and modular toolkit into a fully integrated AI-driven eCommerce operations platform that simplifies store management for entrepreneurs and digital merchants.

Dropshipping has become one of the most accessible ways for entrepreneurs to enter the eCommerce market, allowing sellers to launch online stores without managing physical inventory or warehousing logistics.

However, operating a dropshipping business typically requires juggling multiple platforms for product research, supplier management, store setup, listing optimization, and inventory tracking.

To address these challenges, Doba has launched Doba Pilot, an AI-powered automation platform designed to unify these processes within a single operational system.

AI Co-Pilot for Dropshipping Businesses

Doba Pilot functions as an AI co-pilot for online sellers, enabling merchants to manage complex workflows through simple instructions.

For example, a user can enter a command such as:
“Build a store, find trending outdoor products, and list them with a 20% margin.”

The system then executes the entire workflow automatically.

The platform integrates four primary capabilities into one system:

1. AI-powered product discovery
The platform analyzes market demand signals, supplier data, and pricing trends to identify high-potential products.

2. Automated store creation
Doba Pilot can automatically create and configure online stores on platforms such as Shopify.

3. AI-generated product listings
The system generates product titles, descriptions, pricing suggestions, and product metadata.

4. Real-time inventory synchronization
The platform synchronizes supplier inventory across the Doba network to help prevent overselling.

For sellers who prefer using standalone tools, individual features remain available through the core Doba platform.

Addressing the Complexity of Running Online Stores

According to Mandy Ji, CEO of Doba, the platform was designed to eliminate the operational complexity that often discourages new entrepreneurs from starting an eCommerce business.

Rather than requiring sellers to manage multiple software platforms and manual processes, Doba Pilot shifts the operational burden to automation software.

The goal is to allow merchants to focus on business strategy, marketing, and customer acquisition, rather than backend operations.

Dropshipping Market Growth Accelerates

The launch of Doba Pilot comes amid rapid growth in the global dropshipping sector.

Research from Research and Markets projects that the global dropshipping market will grow from $330.86 billion in 2025 to $401.41 billion in 2026, representing a compound annual growth rate of 21.3 percent.

By 2030, the market could reach $828.46 billion, driven by increasing global eCommerce adoption and the rising popularity of low-cost online business models.

Dropshipping’s appeal stems largely from its low capital requirements, making it attractive to new entrepreneurs launching digital businesses.

Supplier Network and Multi-Channel Integration

Doba’s platform includes a large supplier network that plays a critical role in supporting merchants.

The company reports that more than 90% of its supplier partners are based in the United States, which can help sellers reduce delivery times when targeting American customers.

This advantage is particularly important as consumers increasingly expect faster shipping and reliable fulfillment from online retailers.

Doba Pilot also integrates with major eCommerce marketplaces and platforms, including:

• Shopify
• WooCommerce
• Amazon
• eBay
• Walmart
• TikTok Shop
• Wix
• BigCommerce

These integrations allow sellers to manage listings, orders, and inventory across multiple channels from a centralized dashboard.

AI and Automation in eCommerce Operations

Artificial intelligence is rapidly transforming how online businesses manage operational workflows.

Major eCommerce technology providers such as Shopify and Amazon are increasingly introducing AI tools designed to help merchants automate tasks like product recommendations, pricing optimization, and content generation.

Doba’s strategy reflects a broader trend toward AI-driven commerce operations platforms, where automation assists entrepreneurs throughout the entire lifecycle of an online business.

Future development of Doba Pilot will focus on expanding automation capabilities, including:

• advanced product intelligence
• listing optimization tools
• automated inventory monitoring
• compliance management features

The company ultimately plans to evolve Doba Pilot into a comprehensive business assistant for online merchants.

Key Insights

• Doba has launched Doba Pilot, an AI-powered dropshipping automation platform that unifies multiple tools into a single system.
• The platform supports product discovery, store setup, AI-generated listings, and real-time inventory synchronization.
• Doba Pilot enables sellers to run store operations using natural language commands.
• The global dropshipping market is projected to reach $828 billion by 2030.
• The platform integrates with major eCommerce ecosystems including Shopify, Amazon, and TikTok Shop.

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Cuentas, Inc. has announced the launch of World Mobile Media Group (WMMG), a next-generation decentralized media platform designed to reshape how digital content is produced, distributed, and monetized. The new platform—developed by Cuentas’ majority-owned subsidiary World Mobile Media Group—aims to combine premium entertainment content, global distribution, and direct-to-consumer monetization within a mobile-first ecosystem focused on creator ownership and audience engagement.

The launch signals a broader shift in the digital media industry toward decentralized creator economies, where content creators maintain greater control over their intellectual property and revenue streams.

The traditional streaming media model has largely concentrated revenue and platform control within a small group of global technology and entertainment companies. Platforms like Netflix, Amazon Prime Video, and Disney+ dominate content distribution but often retain significant control over monetization and audience access.

With the introduction of World Mobile Media Group (WMMG), Cuentas, Inc. is attempting to introduce a new model built around decentralization, creator ownership, and mobile-first distribution.

The platform aims to support a diverse mix of digital entertainment, including:

• licensed and original video programming
• live streaming events
• music performances
• creator-driven social content

These offerings will be delivered through an interactive platform designed to enable deeper engagement between creators and their audiences.

A Decentralized Model for the Creator Economy

One of the defining features of WMMG is its decentralized infrastructure, which removes many of the intermediaries typically involved in digital media distribution.

Instead of relying solely on advertising or platform-controlled revenue models, the platform will support multiple direct-to-fan monetization formats such as:

• pay-per-minute content access
• pay-per-event streaming
• subscription models
• ad-supported viewing options

This approach aligns with the broader evolution of the creator economy, where independent creators seek greater ownership over their work and direct financial relationships with their audiences.

According to research from Goldman Sachs, the global creator economy could reach $480 billion by 2027, driven by the growth of influencer marketing, digital content creation, and creator-led media platforms.

Mobile-First Media Distribution

Another differentiating factor of WMMG is its integration with Cuentas’ mobile communications infrastructure.

Cuentas, Inc. has developed an ecosystem that combines telecommunications services with digital entertainment platforms. This allows the company to deliver content directly to mobile audiences through integrated connectivity services including:

• mobile voice and data services
• secure digital communications
• streaming media distribution

By integrating connectivity with content delivery, the company aims to build a vertically integrated digital ecosystem that connects media, telecommunications, and digital lifestyle services.

This model could prove especially valuable in emerging global markets, where mobile devices are often the primary gateway to digital content.

Leadership Behind the Platform

The new media platform will be led by Chip Quigley, CEO of World Mobile Media Group, who brings extensive experience across television production, live entertainment, and global media development.

He will work alongside Shalom Arik Maimon, CEO of Cuentas, who has been spearheading the company’s broader strategy to integrate telecommunications, fintech, and digital media services.

The company has also formed a strategic partnership with NUE Agency to support talent partnerships, brand integrations, and global marketing initiatives.

The agency is led by entertainment executives Alex Kirshbaum and Jesse Kirshbaum.

Community-Driven Content Discovery

WMMG is designed to offer a highly interactive environment where fans can participate in content discovery and engagement.

Community features will allow audiences to interact with creators, influence programming discovery, and participate more directly in the entertainment ecosystem.

This approach reflects a broader trend in digital media toward community-driven platforms, where audiences play a more active role in shaping content visibility and creator success.

Platforms such as TikTok, YouTube, and Twitch have demonstrated how algorithmic discovery and community engagement can accelerate content distribution at scale.

WMMG aims to build on these dynamics while introducing creator ownership and decentralized revenue models.

Market Context

The media and entertainment industry is undergoing rapid transformation as streaming services, creator platforms, and decentralized technologies converge.

According to data from Statista, global streaming video revenue is projected to surpass $140 billion annually within the next few years.

Meanwhile, consulting firm PwC notes that the global entertainment and media industry could exceed $3 trillion in total value by the end of the decade.

Within this evolving landscape, decentralized media platforms like WMMG represent an emerging category aimed at aligning incentives between creators, audiences, and distribution platforms.

Key Insights

• Cuentas has launched World Mobile Media Group (WMMG), a decentralized digital media platform focused on creator ownership and mobile distribution.
• The platform will offer licensed and original programming, live streaming events, and creator-driven content.
• WMMG supports direct-to-fan monetization models including subscriptions, pay-per-event, and ad-supported streaming.
• The platform integrates with Cuentas’ telecommunications infrastructure to deliver mobile-first content distribution.
• Strategic partnerships with NUE Agency will support talent relationships, brand partnerships, and global marketing expansion.

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IZEA Worldwide, Inc. has introduced ZED, a new AI-powered creator economy marketing operations platform designed to help brands manage large-scale influencer campaigns across multiple social platforms. The platform enables enterprise marketing teams to plan, execute, and measure creator marketing programs while automating workflows and optimizing campaign performance with artificial intelligence.

The launch reflects the rapid evolution of the creator economy, where brands increasingly rely on influencer partnerships to drive engagement, brand awareness, and measurable marketing outcomes.

As the creator economy continues to mature, marketing teams are facing new operational challenges. Campaigns now involve hundreds of creators, multiple social platforms, and deeper integration across content, commerce, and media channels.

To address these complexities, IZEA Worldwide, Inc. has launched ZED, a marketing operations platform designed specifically for enterprise-scale creator marketing campaigns.

Built for IZEA’s internal teams and brand clients, ZED centralizes campaign planning, creator collaboration, workflow automation, and performance measurement within a single platform.

Creator Marketing Is Becoming a Core Marketing Strategy

Influencer marketing has evolved from experimental brand collaborations into a core pillar of modern digital marketing strategies.

According to research from Interactive Advertising Bureau, brands are significantly increasing investments in creator-led marketing initiatives as consumers spend more time engaging with content produced by independent creators on social platforms.

However, the same research also highlights two major challenges for brands:

• Identifying the right creators to partner with
• Proving the return on investment (ROI) of creator campaigns

The report found that 39% of brands struggle to measure ROI from influencer marketing efforts, making campaign measurement and analytics critical capabilities.

ZED: A Marketing Operations Platform for the Creator Economy

ZED aims to address these challenges by introducing a centralized operational system for managing creator marketing programs.

The platform enables marketers to:

• discover and evaluate creators
• manage campaign collaboration and communication
• automate workflow execution
• track real-time campaign performance
• optimize campaigns using AI insights

By bringing these functions together, the platform aims to simplify complex campaign workflows that often involve dozens or even hundreds of creators across platforms like Instagram, YouTube, TikTok, and Facebook.

“Salesforce for the Creator Economy”

According to Patrick Venetucci, CEO of IZEA, the platform functions similarly to a customer relationship management system but specifically designed for creator marketing operations.

He compared ZED’s functionality to enterprise CRM platforms like Salesforce, which allow sales teams to manage large volumes of customer relationships.

In a similar way, ZED enables marketing teams to coordinate relationships with hundreds of creators simultaneously, providing visibility into campaign performance and creator engagement.

The platform aligns with IZEA’s standardized campaign delivery framework, enabling teams to manage all stages of influencer marketing campaigns from a single operational environment.

The Growing Creator Economy Market

The creator economy has expanded dramatically over the past decade as social platforms enable individuals to build large audiences and monetize content.

Industry analysts estimate that the global creator economy now supports millions of independent creators and influencers, generating billions of dollars in marketing spend each year.

Research from Goldman Sachs estimates the creator economy could reach $480 billion in market size by 2027, driven by growth in social media platforms, brand sponsorships, and creator-driven commerce.

For brands, creator partnerships provide a way to reach highly engaged audiences through authentic content rather than traditional advertising.

IZEA’s Long History in Influencer Marketing

Founded in 2006, IZEA Worldwide, Inc. was one of the earliest companies to build platforms for influencer marketing and sponsored content collaborations.

Since launching its first influencer marketing platform, the company reports facilitating nearly four million brand–creator collaborations.

The introduction of ZED represents the latest evolution of IZEA’s technology strategy, combining creator discovery, campaign management, workflow automation, and AI-powered analytics within one integrated platform.

Market Context

The creator marketing technology space is becoming increasingly competitive as brands scale influencer campaigns and demand stronger measurement tools.

Major marketing platforms such as Google, Meta Platforms, and Adobe are also expanding their creator and influencer marketing capabilities through analytics and social commerce tools.

Meanwhile, enterprise marketers are seeking platforms that allow them to integrate creator campaigns into broader marketing automation and customer data strategies.

ZED positions IZEA as a technology provider focused specifically on operationalizing influencer marketing at enterprise scale.

Key Insights

• IZEA has launched ZED, an AI-powered creator economy marketing operations platform designed to manage large-scale influencer campaigns.
• The platform centralizes creator discovery, campaign collaboration, workflow automation, and performance analytics.
• ZED helps brands coordinate campaigns involving hundreds of creators across multiple social platforms.
• Research from the Interactive Advertising Bureau shows brands still struggle with creator selection and ROI measurement.
• The creator economy is projected to reach $480 billion by 2027, highlighting growing brand investment in influencer marketing.

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