marketing 4 Aug 2026
Artificial intelligence, sustainable manufacturing, and regional supply chain transformation will take center stage at WEPSEA 2026 (World Expo of Packaging Industry Southeast Asia) as the packaging industry adapts to new production technologies and evolving regulatory demands. Scheduled for August 27–29, 2026, in Jakarta, Indonesia, the event will bring together manufacturers, technology providers, converters, and brand owners to explore how AI, automation, and sustainability are reshaping one of Southeast Asia's fastest-growing industrial sectors.
The packaging industry is undergoing one of its most significant technological shifts in decades, driven by artificial intelligence, digital manufacturing, sustainability initiatives, and changing global supply chains. Against this backdrop, WEPSEA 2026, organized by RX (China) in partnership with the World Packaging Organisation (WPO), will convene industry stakeholders from across Southeast Asia at Jakarta International Expo from August 27 to 29, 2026.
The exhibition is expected to showcase technologies spanning corrugated packaging, folding cartons, digital printing, specialty paper, food packaging, converting equipment, and smart packaging applications. Alongside the exhibition floor, organizers have scheduled more than 20 conferences, technical forums, workshops, and networking events, highlighting the growing importance of knowledge sharing as manufacturers modernize production and respond to evolving market demands.
The event comes as Southeast Asia strengthens its position as a global manufacturing hub. Companies diversifying supply chains beyond traditional production centers continue to increase investment across the ASEAN region, driving demand for advanced packaging technologies capable of supporting food, beverage, consumer goods, pharmaceuticals, and e-commerce industries.
One of the event's headline sessions, the Southeast Asia Packaging Industry Conference 2026, will examine how packaging manufacturers can remain competitive while meeting increasingly stringent environmental and regulatory expectations. Industry leaders are expected to discuss regional investment opportunities, cross-border supply chain collaboration, and strategies for expanding production capacity within Southeast Asia's growing consumer markets.
Sustainability remains a dominant theme throughout the conference agenda. Packaging manufacturers face increasing pressure from governments, multinational brands, and consumers to reduce waste, improve recyclability, and comply with evolving environmental regulations. Discussions surrounding Extended Producer Responsibility (EPR) and sustainable packaging materials are expected to provide practical guidance for businesses adapting to changing compliance requirements.
Artificial intelligence will play an equally prominent role during the event. The Next-Generation Smart Packaging Solutions Forum will explore how AI-powered automation is transforming production workflows, from intelligent prepress systems and workflow optimization to automated imposition and print production management.
AI-driven manufacturing systems are increasingly being adopted to improve production efficiency, reduce material waste, shorten production cycles, and improve quality control. These capabilities are becoming especially important as packaging companies respond to growing demand for customized packaging, shorter production runs, and more flexible manufacturing operations.
Another notable session will examine Halal packaging labeling, reflecting Indonesia's position as one of the world's largest halal consumer markets. The forum is expected to help international manufacturers better understand certification requirements while exploring branding opportunities for products targeting Muslim consumers across Southeast Asia.
Business strategy will also receive significant attention. The Printerpreneur Talk Show and the Navigating Challenges and Innovations in the Packaging Industry forum will focus on cost optimization, lightweight packaging materials, print-on-demand manufacturing, resilient supply chains, and strategies for responding to geopolitical uncertainty and fluctuating raw material prices.
Beyond executive discussions, WEPSEA 2026 is placing greater emphasis on hands-on learning. A dedicated workshop addressing the Top Ten Printing Challenges in FMCG Packaging will guide participants through real-world production scenarios covering artwork preparation, print registration, die-cutting accuracy, quality assurance, and troubleshooting common manufacturing defects.
The practical nature of these sessions reflects growing demand for workforce development as packaging facilities adopt increasingly sophisticated digital production technologies. Manufacturing organizations are investing not only in equipment modernization but also in developing technical skills that enable employees to manage AI-assisted production environments effectively.
Networking will remain another key component of the event. Organizers have scheduled business matchmaking opportunities, an executive cocktail reception, and the PACT Alliance Indonesia Golf Invitational, creating forums for technology vendors, converters, packaging manufacturers, buyers, and industry associations to establish commercial partnerships beyond formal conference sessions.
The broader significance of WEPSEA 2026 extends beyond product demonstrations. The event illustrates how packaging is becoming increasingly interconnected with artificial intelligence, automation, sustainability, and digital transformation. Major enterprise technology providers including Google, Microsoft, and Amazon continue advancing AI infrastructure that supports manufacturing analytics, predictive maintenance, and industrial automation, while packaging equipment vendors increasingly integrate intelligent software into production operations.
Industry forecasts reinforce the importance of these developments. According to McKinsey & Company, AI-enabled manufacturing has the potential to improve operational efficiency and reduce production costs across industrial sectors. Meanwhile, Statista projects continued growth in global packaging demand, supported by expanding e-commerce, food delivery, healthcare, and consumer goods markets.
For packaging manufacturers, brand owners, and technology providers, WEPSEA 2026 represents more than an industry exhibition. It highlights how AI-powered manufacturing, sustainable packaging innovation, and regional collaboration are becoming central pillars of long-term competitiveness in Southeast Asia's expanding industrial economy.
Southeast Asia continues to emerge as one of the world's fastest-growing manufacturing and consumer markets, attracting investment in packaging, logistics, consumer goods, and industrial production. AI-powered automation, digital printing, smart manufacturing, and sustainable packaging are accelerating modernization across the sector. As regulatory requirements tighten and supply chains diversify, manufacturers are investing in technologies that improve operational efficiency while supporting ESG objectives and circular economy initiatives.
WEPSEA 2026 reflects broader industry trends toward intelligent manufacturing and sustainable production. Future packaging operations are expected to rely more heavily on AI-driven workflow automation, predictive quality management, digital production systems, and environmentally responsible materials. Businesses that combine technological innovation with regulatory compliance and regional partnerships will likely be better positioned to compete across Southeast Asia's evolving packaging ecosystem.
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marketing 4 Aug 2026
Competitive intelligence has long been associated with enterprise research teams and expensive analyst-driven platforms. Minnesota-based Rival Shark is looking to change that equation with the public launch of its AI-powered competitive intelligence platform, a solution designed to deliver structured market intelligence in minutes for organizations that need faster insights into competitors, industry trends, and local market dynamics.
Rival Shark has officially launched its AI-powered competitive intelligence platform to the public, expanding access to automated market analysis that has traditionally been reserved for enterprises with dedicated research teams. The software is designed to generate actionable competitive intelligence reports in less than 10 minutes, enabling organizations to monitor rivals, industry developments, and local market conditions through AI-assisted analysis.
The launch reflects a broader shift in enterprise software, where artificial intelligence is increasingly automating business research, strategic planning, and market intelligence. Rather than relying on manual data collection and analyst-driven reports, AI platforms are emerging to synthesize competitive information into recommendations that business leaders can act on more quickly.
According to Rival Shark, the platform transforms competitive data into structured intelligence that includes recommended actions, urgency ratings, and assigned ownership. This workflow-oriented approach aims to integrate competitive insights into ongoing business operations rather than treating market research as a periodic reporting exercise.
At launch, the platform introduces three primary intelligence modules that address different aspects of business strategy.
The Competitor Intelligence module provides multi-section profiles of tracked competitors, evaluating areas such as product positioning, pricing strategies, market presence, business momentum, competitive threats, and recent market activity. Higher-tier subscription plans also include battle cards and win-loss intelligence designed to support sales and go-to-market teams.
The Industry Intelligence capability focuses on broader market conditions by analyzing category growth, industry trends, regulatory developments, technology adoption, and emerging competitive signals. This enables organizations to evaluate how macroeconomic and industry-specific changes could influence future business strategy.
Perhaps the platform's most distinctive capability is its Local Market Intelligence feature. Rival Shark assigns a numerical score ranging from 0 to 100 that measures market saturation within a defined geographic area while mapping competitor density and benchmarking businesses against nearby rivals. The company describes this quantitative approach to local market saturation as a differentiator in a competitive intelligence market that has traditionally emphasized national or global competitor analysis.
A fourth capability, Opportunity Intelligence, is planned for a future release, indicating Rival Shark's ambition to expand beyond monitoring competitors toward identifying growth opportunities through predictive analysis.
The launch comes as competitive intelligence evolves from a specialist discipline into a mainstream business function. Organizations increasingly require continuous awareness of competitor activity, pricing changes, customer positioning, and market developments as product cycles accelerate and AI-driven decision-making becomes more common across industries.
Historically, enterprise competitive intelligence platforms have been designed for large organizations with dedicated analyst teams capable of interpreting extensive research datasets. Rival Shark instead positions AI as the primary research engine, lowering the operational barrier for startups, mid-sized businesses, and regional organizations that may lack internal intelligence resources.
The platform's subscription model also reflects growing demand for software-as-a-service (SaaS) solutions that democratize access to advanced business intelligence. With pricing tiers ranging from US$149 to US$1,299 per month, Rival Shark targets a broad customer base, from smaller businesses monitoring a handful of competitors to larger enterprises requiring more comprehensive competitive tracking.
The competitive intelligence software market has expanded rapidly as enterprises seek better visibility into changing market conditions. Major technology providers including Microsoft, Google, Salesforce, and Amazon continue embedding AI capabilities into enterprise analytics, CRM, and productivity platforms. Meanwhile, specialist vendors are focusing on vertical applications such as competitive intelligence, revenue enablement, and strategic planning.
Industry analysts have identified competitive intelligence as an increasingly important component of enterprise decision-making. According to Gartner, organizations are investing in AI-powered decision intelligence technologies that combine analytics, automation, and contextual recommendations to improve business outcomes. McKinsey & Company has similarly noted that AI is reducing the time required to synthesize complex business information while supporting faster strategic decisions.
For marketing leaders, product teams, and sales organizations, platforms like Rival Shark represent a shift from reactive competitive analysis toward continuous market monitoring. AI-generated intelligence can help organizations identify competitor moves, pricing changes, geographic expansion, and market trends before they materially affect customer acquisition or revenue performance.
As AI becomes more deeply integrated into enterprise strategy, competitive intelligence platforms are expected to move beyond reporting historical activity toward predicting future market developments and recommending proactive business actions. Rival Shark's launch illustrates how AI is reshaping a function that has traditionally relied on manual research into one driven by automation, real-time monitoring, and operational decision support.
The competitive intelligence market is undergoing rapid transformation as AI automates research, market analysis, and strategic planning. Businesses increasingly require continuous visibility into competitors, customer behavior, pricing, and industry developments rather than quarterly research reports. Enterprise software providers are integrating AI-driven decision intelligence across analytics, CRM, and marketing platforms, while specialized vendors are delivering purpose-built competitive intelligence solutions for organizations of all sizes.
Rival Shark's public launch reflects growing demand for AI-powered market intelligence that is both accessible and operationally actionable. As enterprises continue investing in AI-assisted strategy tools, future competitive intelligence platforms are expected to incorporate predictive analytics, workflow automation, and real-time market monitoring. Vendors capable of combining automated research with business recommendations may become increasingly valuable across sales, marketing, and executive leadership functions.
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digital marketing 4 Aug 2026
The E-Commerce & Digital Marketing Association (ECDMA) has unveiled the winners of its ECDMA Global Awards 2026, honoring professionals and organizations that demonstrated measurable business outcomes across digital marketing, e-commerce, customer operations, marketing technology, and enterprise innovation.
The second edition of the awards drew 538 nominations from companies, agencies, technology vendors, and industry professionals worldwide, representing a notable increase from the inaugural program, which received more than 350 entries. The growth reflects rising interest in recognition programs that prioritize documented business impact over reputation or marketing visibility.
Unlike many industry awards that rely heavily on promotional campaigns or entry budgets, ECDMA continued its policy of offering free submissions for individual categories. According to the association, professionals could be nominated by colleagues, managers, business partners, or clients without requiring employer sponsorship. Organizational categories carried an administrative fee, while every submission underwent eligibility verification and evidence-based evaluation before reaching the judging panel.
The judging process emphasized quantifiable business performance. Entries were independently scored by multiple jurors against category-specific criteria, including measurable commercial results, innovation, leadership, customer impact, operational effectiveness, and strategic execution. To receive an award, nominations were required to achieve at least 80 out of 100 points alongside a minimum average score of 8 out of 10 for the category's primary evaluation criterion. Categories without qualifying submissions remained without winners.
This evidence-first methodology mirrors a broader trend across enterprise marketing and digital commerce, where organizations increasingly evaluate success through key performance indicators (KPIs), return on investment (ROI), customer acquisition efficiency, and long-term business outcomes rather than campaign visibility alone.
Among the individual winners, Yana Kuzina received Best Digital Marketing Professional of the Year for rebuilding the Careers to Love PA recruitment initiative supporting nonprofit aging services employers in Pennsylvania. The campaign shifted investment toward search marketing, retargeting, video advertising, and customer relationship management (CRM) measurement, contributing to a 35% increase in website sessions, higher conversion volumes, and lower media spending.
Yelena Kovalenko was recognized as Best Growth Marketing Professional of the Year after developing a customer acquisition strategy for a premium beauty brand in Dubai. The initiative combined paid social advertising, quiz-based lead qualification, CRM integration, and automated follow-up workflows to generate more than 1,600 recorded conversions and significant attributed revenue.
Technology providers also featured prominently in this year's awards. Omnisend earned recognition as Best Marketing Automation Platform, highlighting continued enterprise demand for omnichannel customer engagement platforms that integrate email marketing, SMS campaigns, web push notifications, customer lifecycle automation, and personalization. According to the company, merchants using its platform generated an average of $79 in revenue for every dollar spent, while its product teams analyzed billions of customer interactions to improve platform capabilities.
Meanwhile, MarketProvider received Product Data Management Solution of the Year for software combining product information management (PIM), digital asset management (DAM), content syndication, and market intelligence. Organizations reported improvements including faster product launches, fewer listing errors, and significant reductions in manual content management, illustrating the growing importance of centralized product data infrastructure within modern e-commerce operations.
The awards also highlighted innovation in enterprise commerce leadership. Niki Aghaei, named Best E-Commerce Product Manager of the Year, led multiple digital transformation initiatives involving commerce platforms, marketplace integrations, analytics, forecasting systems, workflow automation, and enterprise reporting without disrupting live customer operations. Such projects reflect how digital commerce increasingly depends on integrated technology ecosystems rather than standalone online storefronts.
Customer success and operational excellence also received attention. Margarita Barysheva earned Best Customer Success Professional of the Year after developing customer success operations that achieved 114% net revenue retention, high customer satisfaction scores, and low churn rates—metrics that have become increasingly important as software companies prioritize recurring revenue growth.
Several winners demonstrated how digital transformation extends beyond technology companies. Yelena Kozubskaya was recognized for modernizing the customer experience of a national quick-service restaurant chain through a mobile application, loyalty platform, CRM modernization, and performance marketing strategy that significantly increased digital orders and customer engagement.
According to Gartner, organizations continue increasing investments in customer experience technologies and marketing automation as they seek more measurable business outcomes from digital initiatives. Forrester likewise reports that data-driven customer engagement, personalization, and integrated commerce technologies remain among the highest priorities for enterprise marketing leaders.
The ECDMA Global Awards reflect these broader industry trends by recognizing organizations that combine marketing strategy, digital technologies, operational excellence, and measurable business performance. Rather than rewarding creative concepts alone, the program emphasizes documented evidence demonstrating tangible commercial impact across multiple industries.
As enterprise organizations continue investing in AI-powered marketing platforms, customer analytics, commerce technologies, and digital operations, performance-based recognition programs are likely to gain further relevance among marketing professionals, technology providers, and business leaders seeking independent validation of measurable success.
Enterprise marketing and e-commerce are increasingly driven by measurable business outcomes supported by AI, automation, analytics, and integrated customer engagement platforms. Organizations are prioritizing technologies that improve customer acquisition, operational efficiency, personalization, and long-term revenue growth, making evidence-based performance a key differentiator across digital commerce.
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events 4 Aug 2026
Edge Marketing and Law.com are expanding digital media engagement for legal industry events through the launch of The Edge Room at the Women, Influence & Power in Law (WIPL) 2026 conference. The collaboration introduces an AI-enhanced platform intended to simplify how conference sponsors distribute news and how journalists access event-related information.
The partnership marks the first time The Edge Room will be integrated into WIPL, one of the United States' leading conferences focused on advancing women in the legal profession. The annual event brings together general counsel, law firm executives, legal technology leaders, and corporate decision-makers to discuss leadership, innovation, diversity, and the future of legal services.
Rather than relying on traditional press kits, email outreach, or ad hoc media meetings, The Edge Room provides a centralized digital hub where sponsors can upload press releases, executive announcements, product demonstrations, videos, and other multimedia resources. Credentialed journalists attending the conference can access these materials through a single platform, helping reduce information fragmentation while improving the efficiency of event coverage.
The launch reflects a broader shift toward digital-first media engagement at enterprise conferences. As organizations participate in increasingly large and content-rich events, marketing and communications teams are seeking platforms that enable faster content distribution, better asset management, and more structured engagement with members of the press.
Artificial intelligence is playing an increasingly important role in this transformation. AI-powered media platforms can help organize digital content, improve searchability, recommend relevant materials to journalists, and streamline information discovery throughout an event. Although Edge Marketing has described The Edge Room as AI-enhanced, the broader trend illustrates how AI is becoming embedded within public relations, event marketing, and corporate communications workflows.
For conference sponsors, centralized media platforms offer an opportunity to maximize visibility beyond exhibition booths or scheduled presentations. Instead of distributing individual press materials through multiple channels, organizations can publish updates in a single location that remains accessible to accredited media throughout the event.
Journalists also benefit from faster access to verified company information, executive statements, multimedia assets, and supporting documentation, allowing them to produce more timely and accurate coverage. As enterprise conferences continue to grow in scale, digital pressrooms are increasingly becoming part of the broader event technology ecosystem.
The collaboration also reflects the ongoing evolution of event marketing technology. Conference organizers are investing in digital platforms that extend audience engagement before, during, and after in-person events. Beyond registration and networking tools, organizers are adding AI-powered content management, media engagement, analytics, and virtual collaboration capabilities to increase the long-term value of conferences for sponsors and attendees.
According to Gartner, organizations continue to increase investments in digital customer engagement technologies as marketing teams prioritize measurable interactions across multiple channels. Similarly, Forrester has highlighted that B2B buyers increasingly expect digital experiences that provide faster access to relevant information and personalized content throughout the customer journey.
Within the legal sector, conferences such as WIPL have also become important forums for discussing leadership development, legal innovation, diversity initiatives, and technology adoption. As law firms and corporate legal departments embrace digital transformation, supporting technologies for communications, knowledge sharing, and media engagement are becoming more strategically important.
The Edge Room is scheduled to open immediately for conference sponsors, while credentialed media will gain access beginning August 31. By creating a centralized environment for news distribution, the platform aims to improve collaboration between conference participants and the media while extending the reach of discussions taking place during the event.
The initiative also highlights a wider trend across B2B event marketing: enterprise organizations increasingly view conferences not only as networking opportunities but also as content-generation platforms. AI-enabled media engagement solutions help organizations amplify announcements, improve press accessibility, and maintain visibility beyond the conference floor.
As enterprise events continue incorporating intelligent digital tools, platforms that connect sponsors, journalists, and attendees through centralized content ecosystems are likely to play a larger role in modern event marketing and public relations strategies.
B2B conferences are rapidly adopting AI-powered event technologies to improve attendee engagement, media relations, and sponsor visibility. Digital pressrooms, intelligent content management, analytics platforms, and centralized communication tools are becoming essential components of enterprise event marketing strategies across professional services and technology industries.
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digital transformation 4 Aug 2026
ChargePoint has broadened its collaboration with Mercedes-Benz to deliver end-to-end fleet charging solutions for commercial customers in the United Kingdom and Germany, marking another step in the evolution of enterprise electric mobility. The expanded partnership aims to help businesses deploy workplace charging infrastructure more efficiently while supporting the growing transition to electric vehicle (EV) fleets.
Under the agreement, Mercedes-Benz business customers will have access to a fully integrated charging ecosystem that spans infrastructure planning, installation, operation, maintenance, and ongoing technical support. The solution is designed for organizations operating passenger vehicles as well as light- and medium-duty commercial vans, enabling companies to manage fleet electrification through a single service provider.
As fleet operators accelerate the shift toward electric transportation, charging infrastructure has emerged as one of the biggest barriers to adoption. While vehicle availability continues to improve, organizations often face challenges related to site readiness, electrical capacity, energy management, installation timelines, and long-term operational support. The partnership between ChargePoint and Mercedes-Benz seeks to address these challenges by packaging charging infrastructure and fleet management services into a unified offering.
ChargePoint will provide site assessments, charging infrastructure planning, professional installation services, and ongoing system support. The company will also supply its portfolio of AC and DC charging hardware alongside software designed to optimize fleet charging schedules, monitor energy consumption, and improve charging efficiency.
A key component of the offering is ChargePoint's intelligent energy management platform, which enables businesses to balance charging demand across multiple vehicles while minimizing electricity costs. Features such as automated energy reporting, cost analytics, and optional integration with solar photovoltaic systems and battery energy storage allow fleet operators to better manage operational expenses and sustainability initiatives.
For enterprise fleet managers, these capabilities are becoming increasingly important as organizations seek to maximize asset utilization while complying with stricter environmental regulations. Smart charging software can help prevent peak electricity demand charges, improve charger availability, and provide data-driven insights that support fleet planning and budgeting.
Mercedes-Benz views charging infrastructure as an essential component of enterprise electrification rather than an add-on service. By integrating workplace charging with existing home and public charging options, the automaker aims to provide customers with a more comprehensive electric mobility ecosystem.
The announcement reflects a broader trend across the automotive industry, where manufacturers are increasingly expanding beyond vehicle sales to offer software, charging services, energy management, and connected mobility platforms. Automakers including Tesla, BMW, Volvo, and Ford have similarly invested in charging ecosystems as competition shifts toward delivering complete ownership experiences rather than standalone vehicles.
The partnership also highlights the growing importance of software-defined infrastructure in fleet operations. Modern charging networks increasingly rely on cloud-based platforms to monitor charger performance, schedule charging sessions, optimize energy consumption, and generate operational reports. These digital capabilities allow fleet operators to manage charging infrastructure alongside broader fleet management systems.
According to IDC, global spending on digital transformation initiatives continues to accelerate as organizations modernize operational infrastructure and adopt connected technologies. Meanwhile, McKinsey & Company estimates that fleet electrification could significantly reduce operating costs over a vehicle's lifetime, particularly when supported by intelligent charging management and optimized energy strategies.
For businesses operating large vehicle fleets, total cost of ownership remains a primary consideration. Although electric vehicles often require higher upfront investments, optimized charging infrastructure, lower maintenance requirements, and reduced fuel expenses can improve long-term economics. Integrated charging solutions also simplify deployment by reducing the need to coordinate multiple vendors across infrastructure, software, and maintenance services.
Initially launching in the UK and Germany, the expanded partnership is expected to extend into additional markets later this year, reflecting continued demand for enterprise charging infrastructure across Europe. The move also aligns with broader government policies encouraging commercial fleet electrification and investments in low-emission transportation.
As enterprise mobility evolves, partnerships between automakers and charging technology providers are becoming increasingly strategic. Companies are looking for scalable charging ecosystems that combine hardware, cloud software, energy management, and ongoing operational support to reduce implementation risks and accelerate electric fleet adoption.
For ChargePoint, the collaboration strengthens its position in the enterprise charging market, while Mercedes-Benz expands the services surrounding its electric commercial vehicle portfolio. Together, the companies are responding to a growing market where charging infrastructure has become as critical as the vehicles themselves in enabling large-scale fleet electrification.
Fleet electrification is becoming a strategic priority across Europe as organizations seek to reduce emissions, lower operating costs, and comply with evolving environmental regulations. Enterprise demand is shifting beyond charging hardware toward integrated software platforms, smart energy management, workplace charging, and cloud-connected infrastructure that supports scalable fleet operations.
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marketing 4 Aug 2026
A new study from Schwartz Marketing Lab suggests that securing Google's top search ranking is no longer enough to drive meaningful website traffic. Analyzing 118 B2B SaaS companies over an 18-month period, the research found that some pages maintained—or even improved—their search rankings while experiencing dramatic declines in organic clicks, underscoring how AI-powered search experiences are reshaping enterprise SEO strategies.
For years, earning the number one position on Google Search was considered the ultimate objective of search engine optimization. New research from Schwartz Marketing Lab, however, argues that this long-standing assumption is becoming less reliable as AI-generated search experiences change how users interact with search results.
The firm's 2026 Modern Organic Growth Playbook examined organic search performance across 118 B2B SaaS companies spanning 10 industry verticals between January 2025 and June 2026. Researchers evaluated organic traffic, keyword rankings, traffic value, and referring domain growth to understand why some companies continued to expand their search visibility while others experienced significant declines.
The headline finding challenges one of SEO's most established metrics: achieving Google's top ranking no longer guarantees meaningful organic traffic. According to the study, several organizations improved or retained first-page rankings while losing as much as 99% of the clicks those rankings had previously generated.
The report attributes many of these cases to AI Overview interception, where Google's AI-generated summaries answer users' questions directly on the search results page, reducing the need to visit external websites. While ranking positions may remain unchanged, user behavior increasingly shifts toward consuming AI-generated responses rather than clicking through to publishers' content.
The findings reinforce a growing industry discussion around the evolution of search from traditional keyword-based discovery toward AI-assisted information retrieval. As conversational AI and search-generated summaries become more prominent, marketers are beginning to evaluate success using metrics beyond rankings, including brand visibility, citation frequency, and engagement across AI-powered platforms.
Schwartz Marketing Lab identified five primary mechanisms contributing to organic traffic declines:
Rather than treating every decline as a content quality issue, the researchers argue that organizations should first determine which mechanism is affecting performance before selecting an optimization strategy.
This diagnostic approach reflects an emerging shift in enterprise SEO. Traditional optimization focused on improving keyword rankings and acquiring backlinks. Today's search landscape increasingly requires marketers to understand how AI systems interpret, summarize, and recommend content across multiple discovery channels.
The research also identified notable differences between companies that expanded organic visibility and those that declined. Among the 38 companies identified as growth leaders, 61% generated most of their gains through educational and definitional content addressing enduring professional topics rather than short-lived news or trend-driven articles.
Researchers describe these assets as content that requires sustained engagement to deliver value—resources users return to throughout their professional careers. Such content appears to remain resilient even as AI changes how information is surfaced because it provides depth and context that cannot always be condensed into a brief AI-generated summary.
The findings align with broader industry observations regarding the evolution of search. Gartner has projected that generative AI will significantly reshape online search behavior during the coming years, while enterprise marketing teams increasingly invest in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) alongside conventional SEO.
For B2B SaaS companies, the implications extend beyond traffic measurement. Marketing leaders are placing greater emphasis on topical authority, first-party expertise, brand credibility, and structured content that AI models can accurately interpret and reference. Success is becoming less dependent on individual keyword rankings and more closely tied to overall digital authority across multiple information ecosystems.
Major technology companies including Google, Microsoft, and Amazon continue integrating generative AI into search, productivity, and enterprise software platforms, accelerating changes in how business buyers discover vendors and research software solutions. As AI assistants increasingly summarize product information before directing users to websites, marketers may need to rethink how content is created, measured, and optimized.
Rather than signaling the end of SEO, the study suggests the discipline is entering a new phase. Rankings remain important for discoverability, but they are no longer the sole indicator of visibility or business impact. Organizations that combine traditional SEO with AI-focused optimization strategies, authoritative educational content, and strong topical expertise may be better positioned to maintain organic growth as search continues to evolve.
The rise of AI-powered search is redefining enterprise search marketing. Google's AI Overviews, conversational search assistants, and generative AI platforms are reducing reliance on traditional blue-link results while increasing the importance of authoritative, well-structured content. According to Gartner, generative AI is expected to reshape digital discovery across industries, prompting enterprises to expand beyond conventional SEO toward AEO and GEO strategies. B2B SaaS companies, publishers, and digital marketers are increasingly measuring visibility through AI citations, topical authority, and brand presence rather than rankings alone.
Schwartz Marketing Lab's research highlights a broader transition from ranking-focused SEO to visibility-focused search optimization. As AI-generated answers become a larger part of search experiences, enterprise marketers are expected to invest more heavily in evergreen educational content, structured knowledge assets, entity optimization, and authoritative publishing strategies. Future SEO success will likely depend on how effectively organizations adapt content for both human users and AI-powered discovery platforms.
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marketing 4 Aug 2026
Hitek Global Inc. is expanding beyond IT consulting with a planned acquisition that signals its entry into the advertising and digital marketing sector. The Nasdaq-listed company has signed a Share Purchase Agreement to acquire Ju Fu Limited for up to $20 million, a move that broadens Hitek's technology portfolio and positions it to compete in the growing market for data-driven marketing services.
Hitek Global Inc. has entered into a Share Purchase Agreement (SPA) to acquire Ju Fu Limited, marking the company's first major move into the advertising and digital marketing industry. The transaction, announced on August 3, 2026, reflects a broader trend of technology companies diversifying into marketing services as enterprises increasingly seek integrated digital transformation solutions.
The proposed acquisition values Ju Fu at up to US$20 million, combining cash payments, performance-based incentives, and equity. Once completed, the deal will provide Hitek with ownership of Ju Fu and its operating subsidiaries, Fourth Coco Technology Limited and Beijing Fourth Coco Technology Co., Ltd., which conduct business under the Beijing Fourth Coco brand.
The acquisition is expected to close in two phases, with the initial closing anticipated around August 11, 2026, subject to customary regulatory and contractual conditions.
Beijing Fourth Coco provides a portfolio of advertising and digital marketing services, including media planning and buying, campaign management, performance marketing, data analytics, and marketing technology support. These capabilities complement Hitek's existing information technology consulting business while expanding its reach into customer acquisition and digital media services.
The purchase agreement outlines an aggregate consideration of up to US$20 million. The structure includes up to US$14 million in cash, comprising an initial payment and deferred consideration tied to specified performance targets, alongside 4 million Class A ordinary shares issued by Hitek. The equity component is subject to performance-based lock-up and release provisions, aligning part of the transaction value with the acquired company's future business performance.
The acquisition highlights a growing convergence between enterprise IT services and digital marketing technology. Organizations increasingly expect technology partners to deliver not only infrastructure and software implementation but also solutions that improve customer engagement, advertising performance, and measurable business outcomes.
Performance marketing has become particularly important as businesses allocate larger portions of advertising budgets toward measurable digital channels. Campaign optimization increasingly depends on analytics, automation, and AI-assisted decision-making, creating opportunities for technology providers that combine consulting expertise with marketing capabilities.
For Hitek, the acquisition represents strategic diversification into a sector experiencing continued digital investment. While the company has traditionally focused on IT consulting and technology solutions, adding an established advertising and marketing operation could enable it to offer broader enterprise services spanning digital infrastructure, marketing execution, and business analytics.
The move also reflects wider consolidation across the MarTech and AdTech industries. Software vendors and consulting firms are increasingly acquiring specialist agencies and digital marketing companies to strengthen first-party data capabilities, campaign management expertise, and performance measurement offerings. Enterprise platforms from Google, Adobe, Salesforce, and Microsoft continue expanding AI-powered advertising, analytics, and customer engagement tools, raising competitive expectations across the marketing technology ecosystem.
Research supports the continued growth of enterprise marketing technology investment. According to Gartner, organizations continue to prioritize digital customer experience and marketing technologies despite broader economic pressures. Meanwhile, Statista projects global digital advertising spending to maintain long-term growth as businesses shift budgets toward measurable online channels and AI-enabled campaign optimization.
Ju Fu's expertise in media buying, campaign execution, and marketing analytics could position Hitek to capitalize on these market dynamics. By combining technology consulting with advertising operations, the company may be able to support enterprise clients seeking integrated digital transformation initiatives that encompass both technology implementation and marketing performance.
From an enterprise perspective, the transaction demonstrates how the boundaries between IT consulting, MarTech, and AdTech continue to blur. Businesses increasingly require unified technology ecosystems capable of managing customer data, digital campaigns, analytics, and AI-powered optimization within a connected framework rather than through isolated service providers.
Although Hitek has not disclosed detailed post-acquisition integration plans, the transaction indicates an ambition to participate more directly in the rapidly evolving digital advertising economy. The success of the acquisition will likely depend on how effectively the company integrates Ju Fu's marketing capabilities with its existing technology services while navigating a highly competitive global MarTech landscape.
Digital advertising and marketing technology continue to attract investment as enterprises prioritize measurable customer acquisition and AI-driven campaign optimization. Industry consolidation has accelerated, with technology consultancies, SaaS providers, and marketing platforms expanding through acquisitions to offer integrated services spanning analytics, automation, media buying, and customer engagement. As AI reshapes advertising workflows, demand for end-to-end digital marketing capabilities is expected to remain strong.
Hitek's acquisition of Ju Fu reflects the increasing convergence of IT consulting and marketing technology. If successfully integrated, the deal could enable the company to compete in higher-value enterprise engagements that combine digital infrastructure, analytics, advertising operations, and AI-powered marketing services. Future growth will depend on execution, cross-selling opportunities, and adapting to rapidly evolving MarTech and AdTech markets.
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marketing 4 Aug 2026
As artificial intelligence reshapes how consumers discover local businesses, dental marketing firm Gargle has introduced a new reporting solution aimed at helping dental practices understand their visibility across AI-powered search, Google Search, local listings, and other digital marketing channels. The launch reflects a broader shift in healthcare marketing, where practices are increasingly expected to optimize not only for traditional search engines but also for AI-driven discovery platforms.
Gargle has unveiled its AI Search & Marketing Visibility Report, a new analytics offering designed to provide dental practices with a consolidated view of their digital marketing performance. The report evaluates multiple aspects of online visibility, including AI search presence, website performance, Google Search rankings, local search optimization, and Google Business Profile effectiveness.
The introduction comes at a time when AI-powered search experiences are beginning to influence how consumers research healthcare providers. Large language model (LLM)-based assistants and AI-generated search summaries are changing traditional search behavior, prompting marketers to rethink search engine optimization strategies beyond keyword rankings alone.
The report is intended to simplify digital marketing measurement for dental practices by combining multiple performance indicators into a single assessment. Instead of reviewing separate SEO reports, website analytics, local search metrics, and business profile insights, practices receive an integrated overview highlighting strengths, weaknesses, and optimization opportunities.
According to Gargle, the assessment examines several core areas affecting online discoverability, including AI search visibility, website usability, search engine rankings, local SEO performance, Google Business Profile optimization, and overall digital marketing health. The objective is to help practices better understand how prospective patients are likely to encounter their business across evolving search environments.
The launch also reflects growing interest in AI visibility as a new performance category within digital marketing. While traditional SEO has historically focused on improving rankings in search engines such as Google, marketers are increasingly evaluating how brands appear in AI-generated responses and conversational search platforms. This emerging discipline—often associated with Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO)—extends optimization efforts to AI assistants that summarize and recommend businesses based on trusted online information.
For dental practices, visibility across both conventional and AI-powered search channels can directly influence patient acquisition. Consumers increasingly compare providers through online reviews, business listings, location data, and website quality before booking appointments. AI-enhanced search experiences often aggregate this information into concise recommendations, placing greater importance on accurate business data and authoritative digital content.
Industry analysts have observed a broader transformation in digital discovery. According to Gartner, generative AI is expected to significantly influence search behavior over the coming years, encouraging organizations to diversify their digital visibility strategies beyond conventional SEO. Meanwhile, Statista continues to report steady growth in online healthcare information seeking, reinforcing the importance of maintaining a strong digital presence across multiple discovery channels.
Unlike conventional SEO audits that focus primarily on rankings and technical optimization, Gargle's report attempts to present a broader marketing health assessment. Metrics related to user experience, local visibility, business listings, and AI discoverability are evaluated together, providing practices with a more holistic understanding of their online performance.
The release also highlights an ongoing trend within vertical SaaS marketing platforms, where industry-specific analytics tools are becoming increasingly specialized. Healthcare providers, legal firms, financial advisors, and home service businesses often require marketing insights tailored to local customer acquisition rather than generic website performance metrics.
Competition in marketing intelligence has intensified as software vendors expand analytics capabilities with AI-powered insights. Enterprise platforms from companies such as Adobe, Salesforce, and Microsoft have introduced AI-assisted marketing features for larger organizations, while specialized vendors like Gargle are tailoring similar concepts for niche industries such as dental healthcare. This vertical approach enables practices to receive recommendations that align with industry-specific search behaviors and patient engagement patterns.
Another notable aspect of the report is its emphasis on actionable recommendations rather than presenting large volumes of raw analytics. For smaller practices without dedicated marketing teams, simplified reporting may reduce the complexity of interpreting SEO metrics while helping prioritize improvements with the greatest impact on local visibility.
As AI continues to reshape digital discovery, businesses across healthcare and other service industries are likely to place greater emphasis on understanding how they appear not only in search engine results pages but also within AI-generated answers and recommendation systems. Tools that combine traditional SEO measurement with AI visibility analysis may become increasingly common as organizations adapt to evolving search behaviors.
For dental practices, the ability to monitor both conventional search performance and AI-driven discoverability could become an important component of future patient acquisition strategies as digital marketing continues its transition toward conversational search experiences.
Artificial intelligence is rapidly redefining local search and healthcare marketing. Gartner predicts generative AI will reshape how consumers discover businesses, while enterprise marketing platforms are increasingly integrating AI-powered search optimization into analytics and campaign management. Dental practices, which rely heavily on local visibility and online reputation, are among the sectors most affected by this transition. As AI-generated search results become more prevalent, marketers are expanding beyond traditional SEO toward AEO and GEO strategies that improve visibility across conversational AI platforms and emerging search interfaces.
The introduction of AI visibility reporting signals a broader evolution in local marketing analytics. Future marketing platforms are expected to combine AI search monitoring, customer experience metrics, local SEO, reputation management, and predictive insights into unified dashboards. For healthcare providers, measuring AI discoverability alongside traditional search performance is likely to become a standard practice as patient search behavior continues to evolve.
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