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Infobip at 20: the AI Era Is Here, and the Next 20 Years Start Now

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Celebrating Two Decades of Innovation: Infobip at 20 and the Dawn of the AI Era

Infobip, a trailblazer in cloud communications, marks its 20th anniversary in 2026 by embracing an AI-driven future. What began in 2006 as an SMS service has grown into a powerhouse omnichannel communications platform, now poised to revolutionize customer engagement through advanced artificial intelligence.

From SMS to AI-First Cloud Communications

Founded two decades ago, Infobip has continuously evolved to meet the changing landscape of business communication. Its shift from simple SMS services to an AI-first platform exemplifies the company’s commitment to innovation. The recent launch of AgentOS, an advanced AI system, signals a new phase where machines handle agentic tasks—such as booking travel or resolving billing issues—automating complex customer interactions expected by 2030.

Prioritizing the Customer in an AI World

Infobip’s leadership stresses that businesses that succeed in this emerging era will need to focus on customer experience with unparalleled responsiveness across all communication channels. The idea of “channel-native responsiveness” means that customer engagement must be seamless and native to each platform, whether it’s messaging apps, email, or voice.

Unifying Data for Scalable AI Integration

A key to this transformation lies in data unification. Infobip is pioneering ways to integrate customer data spread across multiple marketing and sales platforms. This unified dataset allows AI to operate effectively at scale while human oversight ensures quality and relevance in interactions.

Key Insights

  • How is Infobip changing customer communications? Through AI-powered omnichannel platforms that enhance responsiveness and handling of complex inquiries.
  • What role does AgentOS play? It acts as an intelligent agent system ready to take over automatable tasks by 2030.
  • Why is data unification important? It enables scalable AI that can deliver personalized and efficient customer engagement.
  • What does channel-native responsiveness mean for businesses? Companies must adapt their communication strategies to be seamless and natural on each platform.

Conclusion

As Infobip celebrates its 20th anniversary, it not only reflects on past achievements but also boldly steps into the AI era. Businesses aspiring to thrive must prioritize customer engagement powered by intelligent systems capable of natural, scalable interactions. With its AgentOS and data unification approach, Infobip is setting the stage for the future of communication—where AI and human insight work hand in hand for superior customer experiences.

Source: https://martechseries.com/sales-marketing/sales-enablement/unified-communications/infobip-at-20-the-ai-era-is-here-and-the-next-20-years-start-now/

LynkDog Launches the First Backlink Monitoring Platform Built for the AEO and GEO Era

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

In an era where artificial intelligence (AI) is reshaping digital marketing, LynkDog has launched a ground-breaking backlink and directory monitoring platform designed specifically to enhance brand visibility within AI-powered search engines such as ChatGPT and Google AI. This innovative platform addresses a crucial challenge faced by businesses in the B2B sector where backlinks and directory listings are key components of online reputation and search engine visibility.

The Changing Landscape of Search and Marketing

Traditional SEO practices have focused heavily on conventional metrics and search engine algorithms primarily targeting keyword rankings and link authority. However, as AI technologies become a dominant factor in how content is discovered and presented, LynkDog’s new platform shifts focus toward monitoring all third-party mentions, backlinks, and directory placements that influence AI recognition and brand presence in AI-generated responses.

Key Features and Benefits

  • Real-Time Monitoring: The platform scans and tracks over a million backlinks and directory listings, alerting businesses immediately when changes occur. This real-time insight is vital, considering studies show that up to 15% of B2B backlinks deteriorate or disappear each year without notification, which adversely impacts brand visibility.
  • AI and GEO Era Focus: Designed specifically for the era where AI (Artificial Intelligence) and GEO (Geolocation) data drive search results and marketing effectiveness, LynkDog helps brands maintain their competitive edge by safeguarding their online footprint against the dynamic nature of AI search algorithms.
  • Beyond Traditional SEO: By incorporating a broader strategy that includes all third-party mentions, LynkDog empowers marketers to manage and protect their brand’s online ecosystem comprehensively rather than relying solely on outdated SEO metrics.

Why This Matters for B2B Marketers

As AI continues to integrate deeply with marketing technologies, the way brands appear in search results and AI queries is evolving rapidly. Backlinks and directory listings, traditionally SEO staples, have become even more critical in ensuring brands are accurately recognized and recommended by AI tools. LynkDog’s platform presents a strategic advantage by mitigating the risk of unnoticed link decay and shifting market conditions.

Key Insights

  • What problem does LynkDog’s platform solve? It resolves the issue of invisible backlink deterioration and unmonitored directory placements that risk reducing brand visibility in AI-based searches.
  • How does this platform differ from traditional SEO tools? It extends beyond classic SEO metrics by focusing on all third-party mentions important to AI recognition, integrating AI and localization factors.
  • Who benefits most from this platform? B2B marketers and brands that rely on AI-powered search and want to proactively maintain and improve their digital presence.

Conclusion

LynkDog’s launch of the first backlink monitoring platform tailored for the AEO (Answer Engine Optimization) and GEO era signals an important shift in digital marketing strategies. By prioritizing AI-based search realities and integrating comprehensive backlink monitoring, the platform equips marketers with the tools needed to stay relevant and visible. As AI technologies mature and evolve, tools like this will be essential for sustaining brand authority and navigating the complexities of the digital ecosystem effectively.

Source: https://martechseries.com/predictive-ai/ai-platforms-machine-learning/lynkdog-launches-the-first-backlink-monitoring-platform-built-for-the-aeo-and-geo-era/

What Pichai’s Interview Reveals About Google’s Search Direction via @sejournal, @MattGSouthern

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

In a recent interview, Google CEO Sundar Pichai shared a compelling vision for the evolution of search technology, signaling a transformative shift in how users will interact with information online. Instead of simply browsing results, Pichai describes future search as functioning more like an “agent manager,” where users can complete complex, multi-threaded tasks with the support of AI assistants. This insight provides critical clues about Google’s long-term strategy and the implications for digital marketing and SEO.

Redefining Search: From Queries to Task Completion

Pichai envisions that by 2027, search engines will no longer be just places to type in queries and receive links. They will integrate advanced AI capabilities that enable users to manage and execute multiple related tasks seamlessly. This evolution will move search beyond information retrieval to becoming a proactive assistant that orchestrates processes and helps users achieve goals with less manual input.

Despite this exciting outlook, there are considerable hurdles Google must overcome. Pichai highlights structural challenges, including the need to improve internal tools and organizational adoption of AI technologies. A key concept introduced is the “intelligence overhang,” referring to the gap between AI’s potential and its current utilization within enterprises. Barriers like inadequate prompting skills, limited data access, and outdated organizational structures slow progress.

Implications for SEO and Marketing Teams

The shift towards AI-driven search necessitates a change in SEO strategies. Pichai emphasizes the importance of structured data and making information easily accessible to AI agents. SEO professionals must adapt by focusing on data formats and content accessibility that AI can process efficiently. As traditional search dynamics evolve, marketers may need to rethink how they track traffic and engagement, especially with emerging questions about reported traffic growth in the new AI search environment.

Key Insights

  • How will AI transform search by 2027? Search will become an “agent manager,” enabling complex, multi-step interactions rather than simple query results.
  • What are the main challenges for implementing AI search? Organizational barriers, data accessibility, and current skills gaps limit adoption and efficiency.
  • How should SEO strategies evolve? Focus on structured data and creating AI-friendly content to remain relevant.
  • Why is traffic tracking becoming more complicated? AI-driven search changes user behavior and search mechanics, calling for new tracking methods.

Conclusion

Sundar Pichai’s interview sheds light on a future where search is deeply intertwined with AI task management, demanding new approaches from organizations and marketers alike. Embracing structured data and preparing for evolving search interfaces will be crucial. Meanwhile, addressing internal and external challenges will determine how effectively this vision materializes, ultimately influencing the future landscape of SEO and digital marketing.

Source: https://www.searchenginejournal.com/what-pichais-interview-reveals-about-googles-search-direction/571574/

Why CTV Is Becoming The First Real Test Of Agentic Advertising

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Why Connected TV (CTV) Is the New Frontier for Agentic Advertising

The advertising landscape is rapidly evolving, and Connected TV (CTV) has emerged as a powerful platform driving this transformation. As consumer demand for streaming content surges, advertisers are confronted with new challenges and opportunities that traditional advertising models are ill-equipped to handle. Among these challenges is the complexity of managing CTV advertising deals, which are becoming increasingly customized and require intricate coordination across multiple systems. This scenario sets the stage for agentic advertising to become a pivotal force in reshaping how CTV campaigns are executed and optimized.

Understanding the Rise of CTV Advertising

Connected TV refers to devices that allow users to stream digital content directly to their television sets, bypassing traditional broadcast and cable channels. With millions of viewers shifting to these platforms, advertisers have recognized CTV’s potential to target audiences more precisely and deliver engaging formats. However, unlike conventional digital ad campaigns typically managed through real-time bidding (RTB), CTV advertising deals often involve bespoke arrangements that demand extensive management and integration efforts.

The Limitations of Traditional Campaign Models

Traditional advertising campaigns rely heavily on RTB, where ads are bought and sold in milliseconds through automated auctions. While effective for many digital media types, this model struggles to accommodate the custom deals and premium inventory management characteristic of CTV. The coordination required across different platforms, data sets, and operational workflows highlights significant inefficiencies and operational bottlenecks in the current system.

Enter Agentic Advertising: AI-Driven Solutions for CTV

Agentic advertising introduces an AI-centric approach wherein autonomous agents handle the complexities of campaign execution and optimization throughout the advertising lifecycle. These intelligent systems can encode publisher-defined intent consistently, allowing faster and more accurate decisions regarding inventory and deal management. By automating these processes, agentic advertising promises to streamline operations, reduce errors, and enhance the effectiveness of CTV campaigns.

Key Insights

  • What makes CTV a unique test case for agentic advertising? CTV’s demand for highly customized deals exposes the limitations of real-time bidding models, making it an ideal environment to test autonomous, AI-driven campaign management.

  • How do agentic systems improve CTV campaign execution? They provide consistent encoding of publisher intent and facilitate rapid decision-making, which enhances the management of premium advertising inventory.

  • What opportunities arise from agentic trading in CTV? Broadcasters and advertisers can optimize monetization strategies, leveraging AI to unlock efficiencies and potentially increase revenue.

  • What challenges does agentic advertising address? It tackles the operational complexities and coordination issues inherent in managing multi-platform, customized CTV campaigns.

Conclusion

The integration of agentic advertising into the Connected TV ecosystem represents a significant shift toward more intelligent, automated campaign management. As CTV continues to grow as a preferred medium for content consumption, embracing AI-driven agentic systems offers advertisers and publishers a strategic advantage—enabling them to manage complexities better, accelerate decision-making, and maximize monetization potential. Staying ahead in this space will require industry players to invest in and adapt to these innovative technologies, heralding a new era in digital advertising.

Source: https://www.adexchanger.com/data-driven-thinking/why-ctv-is-becoming-the-first-real-test-of-agentic-advertising/

A 6-step AI workflow for building better seasonal campaigns

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Enhancing Seasonal Mortgage Campaigns: A 6-Step AI Workflow

Seasonal marketing campaigns in the mortgage industry often face challenges due to fluctuating consumer behavior and market complexities. However, leveraging artificial intelligence (AI) can transform these campaigns into more targeted and effective initiatives. This article explores a comprehensive six-step AI workflow designed to optimize seasonal marketing efforts specifically for mortgage marketers.

Defining Clear Project Goals To start, it is essential to establish precise goals that align with overall business objectives. Defining what success looks like—whether it’s increased mortgage applications, higher funded loan rates, or improved borrower engagement—provides a focused direction for the AI system.

Setting Up AI Project Workspaces Leveraging AI requires a structured environment where data and projects can be managed efficiently. Setting up dedicated AI workspaces helps marketers organize campaign assets, data sources, and AI tools. These workspaces become the hub for collaboration and iterative campaign development.

Formulating Effective Prompts AI’s effectiveness depends heavily on the quality of prompts used to generate content and insights. This step involves crafting strategic prompts that direct AI to analyze customer relationship management (CRM) data, industry trends, and borrower concerns, ensuring the created content resonates with the target audience.

Linking Research Sources Combining AI-generated content with real-time market research and data enhances campaign relevance. By linking trusted research sources to AI workflows, marketers ensure their messaging reflects current industry dynamics and borrower anxieties.

Iterating Based on Campaign Results The AI workflow encourages continuous improvement through iteration. Marketers analyze campaign outcomes, measure key performance indicators, and refine prompts and strategies accordingly. This cyclical process fine-tunes campaigns to better meet consumer needs and market realities.

Tailoring Content to Borrower Concerns A unique advantage of this AI approach is its ability to tailor messaging that addresses borrower anxieties, such as interest rate fluctuations, loan approval processes, and financial planning. This targeted content fosters trust and motivates prospective borrowers to take action.

Key Insights

  • How does AI improve seasonal campaign effectiveness? AI synthesizes CRM data, industry trends, and brand strategies to create content that truly resonates with borrowers.
  • What role do structured prompts play? They guide AI to produce targeted insights and messaging that address specific market and consumer needs.
  • How does iteration benefit mortgage marketing? Ongoing refinement based on results ensures campaigns stay relevant and impactful.

Conclusion Incorporating a structured AI workflow into seasonal mortgage campaigns offers marketers a strategic advantage by creating repeatable, data-driven systems. This approach not only enhances campaign precision and responsiveness but also builds trust with prospective borrowers through tailored content addressing their concerns. As AI technology evolves, mortgage marketers who adopt such workflows will be better positioned to drive applications and close more funded loans in competitive markets.

Source: https://martech.org/a-6-step-ai-workflow-for-building-better-seasonal-campaigns/