Forecast of Content Marketing through AI

Technology providers are poised to unlock the full potential of generative AI in content marketing, with a strategic focus on value, quality, and responsible use.
As the landscape evolves, continuous adaptation and integration of generative AI will allow tech marketers to meet the dynamic demands of the industry and deliver impactful content across diverse channels

1. - Rinky Navigating the Future: AI and Blogs in Content Marketing

2. Executive summary

3. Evolution of AI INTEGRATION INTO DAILY LIFE AI-based technologies are becoming integral to daily life. Sk telecom’s AI speaker, “Aria," is a notable example of AI seamlessly integrated into daily routines. Aria: A Real-World Case Study Aria is a smart, voice-activated device with diverse functionalities. Emergency assistance: Aria can make emergency calls when the user is unable to use other devices, aiding in situations like accidents or physical handicaps. Health support: Aria assists the elderly by alerting care centers or family members in emergency situations, resulting in lives being saved. Personal assistance: Aria helps with daily tasks, such as guiding users through recipes and offering advice on managing personal finance. Artificial intelligence (AI) is the emulation of human intelligence in machines. It involves programming computers or robots to replicate cognitive functions associated with human minds, such as learning and problem-solving. AI, machine learning, and deep learning are commonly used terms, with AI being the overarching concept. AI, MACHINE LEARNING, AND DEEP LEARNING AI encompasses machine learning and deep learning. Machine learning includes various algorithms for tasks like regression and clustering, improving with more training data. Deep learning, a subset of AI, relies on artificial neural networks and demands substantial data for effective task-solving.

4. Revolutionizing Marketing Communication with AI AI, particularly in content creation, enhances customer experience and engagement. The development of AI tools, like chatGPT , has significantly improved communication strategies. The potential spans across product development, pricing, promotion, and distribution. AI Tools: Balancing Benefits and Challenges AI tools offer benefits such as improved personalization and customer experience, but challenges like high costs and data dependence persist. Despite challenges, the use of AI in marketing is on the rise.

5. AI TOOLS IN MARKETING Categories of AI tools in marketing C ategorizing AI tools based on digital marketing areas, including search engine marketing, email marketing, social media marketing, content marketing, and display advertising. AI's impact extends across various marketing activities. Methodology for assessment tools Combining qualitative methods for theoretical analysis and quantitative methods for tool evaluation. A systematic analysis identified relevant AI tools, leading to a comprehensive assessment . Selected assessment tools Through analysis identified top AI tools, including adcreative , jasper.AI, writesonic , SEM rush, and chatGPT . These tools showcase diverse functionalities for marketers.

6. RESULTS - AI TOOLS AND MARKETING ACTIVITIES Figure 1: Illustrates AI tools' applications in marketing activities. Areas like social media, PPC management, SEO, and blogging benefit from AI, offering marketers valuable options. Figure 1: I llustrates AI tools' applications in marketing activities Aligning AI tools with marketing activities

7. RESULTS - Quantity and Competitiveness Figure 2, reveals the prominence of chatGPT as a foundational tool. The competitive landscape shows a diverse range of AI tools, with text-oriented tools leading in quantity. ChatGPT Cornerstone: Core of many AI tools, consistently top-ranked. Tool Diversity: Varied AI tools, strong emphasis on copywriting and social media. Broad vs. Specialized: Broad tools leverage ChatGPT for versatility; specialized tools offer unique interfaces. Development Dynamics: Specialized tools fewer, slower, and pricier than broad-focused AI. Automation Impact: AI tools boost efficiency, automate marketing processes. Figure 2: C hatGPT is a foundational tool

8. Results - Feature Range Comparison Feature Range: Comparing AI tools Figure 4, compares the feature range of AI tools. ChatGPT leads, emphasizing its foundational role. Tools like writesonic and ndigital excel, showcasing their versatility in marketing activities. Figure 4: C ompares the feature range of AI tools

9. Innovations in AI-Generated Content Overview - Key findings

10. Innovations in AI-Generated Content Overview - Recommendations

11. Strategic Planning Assumptions

12. ANALYSIS 2027

13. Tech Innovators - AI-Generated Content Genie AI • Reinventing legal services through AI automation, transforming the legal industry. Narrativa • Utilizing LLMs for data-to-text in medical and pharmaceutical industries, enhancing efficiency. Omneky • Generative AI platform with GPT, improving ad personalization for social commerce. Pencil • Generates ad creatives at scale, enabling effective monitoring for social commerce. Valossa • Autocreates video promos based on video analytics, enhancing creative directors' roles. Vizologi • Generates business plans based on internet data, accelerating strategy development for startups.

14. Valossa's AI-Enabled Content Monetization

15. Client Overview: MTV Oy Largest commercial TV channel broadcasting network in finland Aimed to automate content production and creative work for online videos Challenge Enhance productivity and scalability in content production Improve content promotions and monetization for online distribution AI Solution: Valossa's Autopreview Automated generation of video teasers and previews using AI Customized clips for content promotion and marketing through social media campaigns Client Case Story

16. AI Impact on MTV Oy's Operations Content Analysis Solutions AI analyses large quantities of video content from multiple cameras Frame-level accuracy in tagging information: emotions, actors, content types, activities, hazardous material use, etc. Content Workflows and Distribution AI-analyzed video used for: Streamlining video production Creating automated short teasers and previews for diverse audience interests. Assisting in content compliance and ensuring brand safety .

17. Market Adoption and Impact - Valossa GenAI Transforming the Video Industry Automates content creation for personalized experiences Improves advertising, content search, and discovery Increases engagement through AI-enabled video editing Valossa's Platform and Generative AI Augments creative directors' roles Reduces time spent on finding, editing, and building scenes Enables country-specific cultural editing and compliance with regional legislation

18. Tech Marketing and Generative AI Survey reveals 30% of outbound marketing messages from large organizations will be AI-generated by 2025 . Generative AI enhances content marketing capabilities, providing scalability for various platforms. Key Insights: Generative AI's impact on content marketing, with 49% of tech providers implementing or planning. Steps for effective incorporation into content marketing strategy outlined. Text leads in generative AI usage among technology providers.

19. Conclusion Generative AI's transformative impact on content creation and marketing is unprecedented. Tech leaders must navigate challenges responsibly, ensuring human oversight and strategic alignment. The era of AI-generated content opens new possibilities, demanding thoughtful adoption and continuous evolution. What You Need to Do Align generative AI usage with strategic content marketing objectives. Identify key components for generative ai integration, conduct an audit, and experiment before implementation. Focus on buyer's jobs to ensure valuable content; use generative AI for content atomization

20. Omneky Overview Omneky revolutionizes marketing with personalized creative advertising at scale. Three-tier technology: Data and analytics, Computer vision models, LLMs and diffusion models (including GPT-3.5, GPT-4, etc.). Key Features Analyzes ad creative databases across channels ( facebook , youtube , google, tiktok ). Computer vision tags visuals for successful ad elements. Ad analytics provides valuable input for personalized content generation. Easy-to-use platform targeting marketing business users. Introduction to Omneky's Innovative AI-powered Marketing Platform

21. Thndr's Background Financial service company in egypt . Goal: democratize investing in the mena region. Used facebook and google ads for multilingual content. Challenges Faced Traditional advertising process was time-consuming and costly. Lacked a data-driven approach for insights. Dynamic environment required constant adaptation. Omneky's Solution Centralized platform for omnichannel assets, performance metrics, ad copy, and creatives. Data-driven advertising approach. ACHIEVED: 3.15x increase in app installs. 2.28x increase in registrations. 55% decrease in cost per registration Client Case Story - Thndr's Success with Omneky

22. Market Impact and Implications for Product Leaders Market Adoption & Impact Generative AI gaining traction in commercial applications. Personalization is crucial for brand connections. Omneky's platform exemplifies success in reaching new audiences and increasing engagement. Implications for Product Leaders Generative AI in marketing accelerates content creation. Opportunities for personalized content creation at scale. Showcase diverse customer examples for quicker sales cycles. Better outcomes with measured business processes and demonstrable performance improvements. Conclusion AI-driven content generation enhances customer experience, builds brand loyalty, and boosts sales and revenue.

23. Leveraging Generative AI for Advanced Content Creation in Tech Marketing Introduction The rise of generative AI tools is revolutionizing content marketing strategies for technology providers. According to a 2023 Gartner survey, 49% of technology leaders are either implementing or planning to implement generative AI for content marketing by 2025. This shift indicates a substantial move toward synthetic content generation, with a projected increase from less than 2% in 2022 to 30% by 2025. KEY STATISITCS

24. Top Content Marketing Use Cases for Generative AI Blog posts Social media content Email marketing Titles/headline ideation Generative AI is becoming an integral part of tech marketing strategies, enhancing productivity and enabling scalability in content production. The top content marketing use cases include: 5. Research and content curation 6.Translating content into different languages 7. Image generation for content marketing 8. Demo content, script, and flow generation for product marketing

25. Statistics Generative AI actively analyzes data in content marketing

26. Insights and Recommendations: Insight No. 1: Strategic Implementation Steps Define strategic content marketing objectives for generative AI, considering diverse market segments, channels, and buyer personas. Identify key components of the content marketing strategy that stand to benefit the most from generative AI. Audit existing content marketing technology stack to identify gaps and assess the need for new tools. Check data inputs of selected generative ai tools to ensure high-quality output and compliance with privacy policies. Experiment with a pilot project to gather metrics for success and understand the impact on the content marketing workflow. Collaborate with it and other cross-functional departments for successful implementation. Strive for continuous evolution by monitoring use and collecting feedback to inform the broader content marketing strategy.

27. Insights and Recommendations: Insight No. 2: Content Atomization Generative AI can be used to "atomize" existing content, producing iterative content asset types for different personas or marketing channels. 49% of participants indicated that generative AI impacted increasing the volume of content and/or personalized content .

28. Insights and Recommendations: Insight No. 3: Text Dominates Generative AI Usage Text remains the primary focus of generative AI , with 100% of respondents using the technology for text creation. Multimedia content creation (images: 33%, videos: 9%, audio: 7%) is an emerging area for generative AI.

29. Figure Illustrates Insight no. 3: text dominates generative AI usage

30. Figure Illustration Integrate generative AI seamlessly into your content marketing strategy for optimal effectiveness

31. Recommendations for Tech Marketers Focus on the strategic use of generative AI to address specific content marketing objectives. Implement generative ai for various content-related tasks such as scaling production, ideation, research, translation, and image generation. Prioritize the quality of output, ensuring that content aligns strategically with buyer needs and provides value across different phases of the buyer's journey. Develop responsible use guidelines for generative ai, working cross-functionally to define governance, access, and scalability frameworks. Mitigate risks through employee training and maintaining a "human in the loop" for editing and verifying output.

32. the Power of Managed Metadata and AI for Digital Asset Governance In many midsize organizations, digital asset management and governance often face neglect due to perceived challenges in obtaining comprehensive inventories. However, adopting targeted and practical approaches can transform these challenges into opportunities for streamlined data classification and improved metadata management. Key Points Digital asset governance goals: Development of managed metadata attributes, content types (templates), and classification standards often remains aspirational or viewed as unnecessary overhead. Clarity and justification: Practical approaches provide clarity, justifying efforts in user engagement and the adoption of formal digital asset governance tools. Workflow initiation: Probability analysis assigns attributes to object types, initiating workflows and commencing business processing. Example: S harepoint integration: sharepoint users benefit from power automate workflows that leverage ai-based document analysis. This enables automated content classification, language detection, entity extraction, object counting, and managed metadata attribute assignment. Enhanced security measures: AI outcomes contribute to the assignment of security tags and classifications, bolstering overall data security and compliance.

33. OBJECT PROCESSING AND METADATA ASSIGNMENT Figure illustrates how AI tools streamline object processing by extracting metadata attributes from images, documents, and videos during object intake.

34. Conclusion Technology providers are poised to unlock the full potential of generative AI in content marketing, with a strategic focus on value, quality, and responsible use. As the landscape evolves, continuous adaptation and integration of generative AI will allow tech marketers to meet the dynamic demands of the industry and deliver impactful content across diverse channels.