Scaling B2B Content Marketing with AI and Automations
27mGeneral2024-11-06
Authors

Madecraft
Full-Service Learning Content Company

Tamara Franklin
Course details
Learn to implement scalable B2B content marketing strategies with AI and automation. This course, led by Tamara Franklin, offers deep insights into integrating AI technologies to enhance content creation, distribution, and SEO. Learn to set objectives, automate processes, and personalize content at scale to drive engagement and improve performance metrics. After this course, you will be able to use automations to save time, build productivity, and enhance your overall B2B marketing efforts.
Learning objectives
Recognize the role and impact of AI and automation in B2B content marketing.
Select and deploy AI tools for content generation and SEO optimization.
Develop strategic goals for employing AI in marketing campaigns.
Implement automation in content distribution to maximize efficiency.
Analyze content performance using AI-driven data analytics.
Learning objectives
Recognize the role and impact of AI and automation in B2B content marketing.
Select and deploy AI tools for content generation and SEO optimization.
Develop strategic goals for employing AI in marketing campaigns.
Implement automation in content distribution to maximize efficiency.
Analyze content performance using AI-driven data analytics.
Skills covered
B2B MarketingContent MarketingMarketing StrategyIT AutomationDevOps FoundationsArtificial Intelligence FoundationsDevOpsMarketingLimited SeriesArtificial Intelligence (AI)Network and System Administration
Concepts
0. Introduction
- 01 - Leveraging AI in your B2B content marketing efforts
1. Tackling AI-Driven Content Marketing
- 02 - Using AI technologies in content marketing
- 03 - Setting objectives for AI integration
2. Implementing AI in Content Creation
- 04 - Automating content creation with AI
- 05 - Personalizing your content at scale
- 06 - Optimizing content for search engines
- 07 - Practicing ethical considerations with AI
3. Streamlining Content Distribution and Analytics
- 08 - Automating content distribution
- 09 - Leveraging AI for data analytics
Conclusion
- 10 - Continuing your AI-integration processes