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
Recent research suggests a hybrid approach—leveraging ai for efficiency while ensuring human oversight for creativity and contextual
relevance—proves most effective. This executive summary highlights the need for a nuanced strategy that combines the strengths of
search engine optimization and AI integration for impactful content marketing.
Looking forward to 2023 and beyond, the strategic focus should balance optimizing content for search engines and integrating AI
technologies. AI tools, like chatgpt, showcase potential in expediting content creation but face challenges in creativity and contextual
understanding.
Blogs in today's content marketing landscape face the transformative influence of evolving search engine algorithms and advanced AI
technologies, such as chatgpt. Recent statistics emphasize ai's growing significance in content creation, offering speed, relevance, and
personalization.

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. 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
Categorizing 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: Illustrates 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: ChatGPT 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: Compares the feature range of AI tools

9. INNOVATIONS IN AI-GENERATED
CONTENT
•Growing domain-specific GenAI solutions for operational efficiency.
•Prominent use cases: ads, data-to-text, video creation, and analytics.
•Human-in-the-loop essential for brand messaging and compliance.
Overview- Key findings

10. INNOVATIONS IN AI-GENERATED CONTENT
•Product leaders should target repetitive tasks for early AI implementation.
•Specialization in genai content creation by modality (text, video, data)
for specific use cases.
•Transparent communication on human involvement crucial for customer
adoption.
Overview- Recommendations

11. STRATEGIC PLANNING ASSUMPTIONS
By 2025, 30% of large
organizations' outbound
marketing messages will
be AI-generated.
AI avatars using text-to-
video will support 70% of
digital and marketing
communications by 2025.
90% of a blockbuster
film will be AI-generated
by 2027.

12. ANALY
SIS
AI-generated content encompasses
text, image, video, and audio
applications across domains.
Generative AI techniques, including
GPT-3, GPT-4, and DALL·e 2,
revolutionize content creation.
Gartner's case-based research explores
genai applications, focusing on AI-
generated content.

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
Valossa's video-to-video AI content generation speeds up
video production.
Oulu-based company's suite offers content intelligence,
including content moderation and contextual advertising.
Case study: MTV Oy automates content production,
enhances content promotions using Valossa's Auto
preview.

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:
1. 3.15x increase in app installs.
2. 2.28x increase in registrations.
3. 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.
49% of technology providers are
currently implementing or planning to
implement generative AI for content
marketing.
By 2025, 30% of outbound marketing
messages from large organizations will
be synthetically generated.
KEY STATISITCS

24. TOP CONTENT MARKETING USE CASES FOR
GENERATIVE AI
1. Blog posts
2. Social media content
3. Email marketing
4. 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: Sharepoint 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.