Prof. Aleks Farseev is an entrepreneur, keynote speaker and CEO of SOMIN, a communications and marketing strategy analysis AI platform.
Hands holding smart phone using ChatGPT
Sanket Mishra
AI agents are rapidly transforming how brands engage customers, personalize experiences and optimize campaigns in real time. From automating psychographic analysis to competitor tracking and business analytics, these systems are redefining efficiency and strategic execution. To stay relevant, marketers must evolve from mere content creators to AI facilitators — curating and orchestrating autonomous tools that can operate campaigns with minimal human input. In this new paradigm, AI agents are not just tools but strategic partners, signaling a fundamental shift in how advertising works.
With rising demand for hyperlocal content across regions and product lines, agentic content generators are becoming essential. Global brands like Coca-Cola must uphold a consistent “Red Line” of brand identity across over 200 markets while adapting to local nuances. For instance, campaigns in Brazil may highlight Carnaval or street football, while those in Japan might reflect Hanami or traditional seasonal designs. Agentic systems can analyze local behavior, media habits and competition to generate content that is both locally resonant and globally aligned. In my experience, this level of hyperlocalization — once impossible at scale — is now achievable, driving deeper engagement and authenticity through AI-powered insights.
To help leaders stay informed on these developments, I turned to members of the Marketing and Advertising Group, a community that I lead through Forbes Technology Council. They share impactful applications of AI agents that should be on every leader’s radar, making their marketing strategies more precise, efficient and scalable.
1. Eliminated Shopper Touchpoints
AI agents are shaping the customer journey by eliminating shopper touchpoints. If AI agents can help customers order their essentials before they run out or direct them to storefronts with the cheapest prices, we’ll see customers spending less time shopping or browsing. Think of this as a high-powered “subscribe and save” model. That’s going to make the brief brand exposure you get all the more critical. The first impression your brand makes on a consumer could make or break your long-term relationship with them. – Jehan Hamedi, Vizit
2. Hyper-Personalized Customer Service
The future of marketing is here with autonomous AI agents for hyper-personalization and customer engagement. These revolutionary AI agents offer real-time hyper-personalized messages, products and service recommendations, adapting to changing customer behavior patterns. They replace simple chatbot interfaces with multi-channel, contextual and human-like interactions in a brand’s voice. AI agents optimize customer retention and use advanced real-time behavior data for predictive analytics. – Dutt Kalluri, Celsior
3. Evaluated CX Metrics
AI agents are transforming CX strategy by evaluating CX metrics and scales like CSAT, CES and NPS. Freethinking agents benefit from AI-powered analytical tools like Tableau and Sisense to evaluate measurable data like churn rates and CLV to position their CX strategy. By using LLM-based AI products like Google’s Bard, Midjourney and ChatGPT, these agents contribute to the A/B testing of your customer-facing assets like websites and emails in order to get useful insights. – Salman Shahid, DevBatch
4. Automated Sales
Autonomous AI-driven customer experience agents are revolutionizing marketing by enabling hyper-personalization, predictive analytics and real-time engagement. These AI agents optimize content, automate sales and refine campaigns autonomously, enhancing customer interactions at scale. The future lies in AI-powered marketing teams that execute and make strategic decisions, driving efficiency, engagement and growth. – Punnam Raju Manthena, Tekskills Inc.
5. Campaign Research
When marketing is viewed as a revenue-generating activity, AI agents will have the greatest impact in researching, planning, building, generating, orchestrating, and analyzing campaigns to create a qualified sales funnel. They will help bridge the longstanding gap between marketing and sales, delivering multiplier value that drives revenue growth and strengthens brand building. This will not only improve sales performance and the experience of sales teams, but also enhance the overall client experience. – Rajat Sharma, NGN Advisory
6. Lead Scoring
In the B2B niche, one of the most impactful AI agent applications is lead scoring and predictive analytics. These AI-driven tools help businesses identify and prioritize potential leads, optimizing the sales process and improving conversion rates. – Stoyan Mitov, Dreamix
7. Enhanced Ad Targeting
AI is revolutionizing marketing by automating tasks, personalizing experiences and optimizing decisions. It enhances ad targeting, predicts trends and analyzes customer sentiment. Tools like Jasper and Midjourney simplify content creation, while AI-driven social media boosts trend analysis and engagement. AI also improves SEO with keyword optimization and A/B testing. Businesses using AI gain a competitive edge through greater efficiency, accuracy and a higher ROI. – Dhivya Nagasubramanian, U.S. Bank
8. Covered Blind Spots
Media planning has several blind spots from missing critical data. These include ad inventory, cross-channel consistency, diminishing returns, seasonality, customer heterogeneity, creative impact, funnel vs. topline goals and short- vs. long-term objectives. Managing these complexities manually is nearly impossible. An AI agent can bridge these gaps, assisting media planners and campaign managers in unlocking the next level of marketing performance. – Kasi Rajeev Oduri, Walmart Inc
9. Data-Driven Decision Making
The AI agent applications that are shaping the future of marketing are AI-driven and personalized customer engagement through predictive analytics for data-driven decision making. They will be used to forecast customer behavior and anticipate purchasing patterns, optimize ad targeting and bidding strategies in real-time. Additionally, they’ll improve lead scoring and segmentation, ensuring marketing efforts are directed toward the most valuable prospects. – Joydeb Mandal, Accenture
10. Clarity On Customers’ Needs
AI-powered solutions that serve a true marketing purpose, yet don’t market directly to an audience, will be most impactful. For instance, combining several sales methodologies with agentic AI gives businesses a clear idea of customers’ needs. AI solutions that return information to marketers in NLP (much like the inputs) and validate points with peer-driven perspectives will be highly effective. – Rick Vanover, Veeam
11. Personalized Content Creation
AI-powered personalized content creation agents are incredibly impactful. These agents can analyze vast amounts of data to understand customer preferences and generate tailored marketing content, from ad copy to social media posts. This level of personalization leads to higher engagement, improved conversion rates, and ultimately, a more effective marketing strategy. – Nikhil Jathar, AvanSaber Technologies
12. Improved Feedback Loop
AI agents are removing humans from the feedback loop. They turn free text into precise queries, orchestrate workflows across hundreds of tools and APIs, and execute with perfect timing. Soon, AI agents will bypass traditional interfaces, communicating directly with other AI agents to strategize, adapt and act. This makes human intervention an obsolete bottleneck in most marketing functions. – Roi Sorezki, twik
13. Multi-Tool Setups
One of the most impactful AI agents in marketing is ChatSonic by Writesonic, leveraging GPT-4 technology. It’s integrated with Google for real-time content, supports multiple formats (eg. text, images, audio), and works with tools like ChatGPT, WordPress and Ahrefs. ChatSonic personalizes the experience, which is crucial since 80% of consumers prefer personalized outreach. Automating tasks and providing data analysis allows marketers to focus on strategy and creativity, enhancing the overall effectiveness of the campaign. – Sreekanth Narayan, LTIMindtree
14. End-To-End Marketing Activations
AI agents that can manage end-to-end marketing activations have deep product and customer understanding, strategic campaign execution and automated deployments. This creates content, identifies audience segments, selects channels and optimizes targeting in real time. They enhance personalization efficiency and optimize performance through continuous learning, real-time adjustments, and predictive insights, reshaping how marketing activations happen in the future. – Deepa Shekhar, Logitech Inc.
15. Minimal Manual Setup
No single AI tool covers all marketing needs, so businesses use Jasper, chatbots, Zapier and Salesforce Einstein for different tasks. While Zapier helps integrate them, there’s a growing need for a humanized AI Agent — one that can take commands and execute tasks with minimal customization or effort, making automation seamless and reducing manual setup. – Amit Samsukha, Emizen Tech
16. Adapted Messaging On The Fly
AI-driven autonomous marketing agents are reshaping the future of marketing by making personalization truly dynamic. These agents don’t just analyze data — they learn consumer behavior in real-time, adapt messaging on the fly, and optimize campaigns autonomously. Instead of static segmentation, brands now have AI agents that hyper-personalize experiences at scale, predict intent, and engage customers before they even realize they need something. – Doug Shannon
17. Customer Loyalty
AI-driven autonomous customer experience agents are revolutionizing marketing by transforming engagement, personalization and support. These agents analyze consumer behavior in real time, deliver hyper-personalized content, and streamline interactions across channels. By enhancing responsiveness and reducing friction, AI is not just shaping but redefining how brands build loyalty and drive conversions. – Morgan Shuler, Tapplix Applications & Web Design
18. Seamless Omni-Channel Experiences
Without a doubt, the AI Agent application that’s truly going to reshape marketing is the hyper-personalized, predictive customer journey orchestrator. I’ve always felt that simply lumping customers into broad segments misses the point entirely. It’s about understanding each individual and crafting their own unique story. It weaves together seamless, omni-channel experiences, ensuring consistency at every turn, and constantly refines its understanding of each customer. – Karan Jain, NayaOne
As this diverse range of applications demonstrates, AI agents are no longer experimental tools – they are mission-critical assets in the modern marketer’s toolkit. Their ability to unify data, automate execution and adapt messaging at scale enables marketing teams to move faster, work smarter and engage customers more meaningfully than ever before. Leaders who embrace this innovation early on will not only optimize performance but redefine what marketing success looks like in an AI-powered era.
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