In this page
Why attend this course?
Who should attend?
What will I learn?
About us
Topics covered
Delivery format
Pricing
Workshops and consultancy options
Contact us
Your content now needs to work twice as hard – convincing humans to trust you while ensuring AI systems can find, understand, and recommend your work. As ChatGPT, Perplexity, and other AI tools reshape how people discover information, the rules of content creation have fundamentally changed.
This course teaches you to write content that succeeds in both worlds: content that connects emotionally with human readers while remaining structured and clear enough for AI systems to process accurately.
Why attend this course?
- Write for the AI-mediated web
- Create content that ranks in both Google search and AI chatbot responses
- Prevent AI misinterpretation
- Structure information so AI tools cite you accurately, not partially or incorrectly
- Future-proof your skillset
- Master the techniques that will define content creation for the next decade
- Build scalable systems
- Develop processes that work across traditional and AI-powered channels
- Expand your career options
- Position yourself as someone who understands both human communication and machine logic
Who should attend
- Marketers and content strategists
- Creating campaigns that rank well in search and resonate with customers.
- Technical Writers and knowledge managers
- Creating documentation that both helps users and feeds accurately into AI-powered help systems.
- UX writers and product managers
- Designing microcopy and interfaces that guide users clearly, whether they interact with a human or a chatbot.
- Editors and communications managers
- Overseeing quality and brand voice in an era of AI-assisted creation.
- Anyone curious about the future of writing
- Writers who see AI not as a threat, but as a new tool to master and a new dimension of their craft to understand.
What will I learn?
By the end of this course, you’ll be able to:
- Structure content so it’s both scannable for humans and parseable for AI systems
- Write documentation that AI assistants can extract and present accurately
- Apply semantic markup and metadata that machines can interpret
- Test your content from both human and AI perspectives
- Develop content strategies that serve discovery through search engines and conversational AI
- Create style guides that account for dual-audience needs
The goal isn’t to write for machines, but to write with an understanding of how machines read, so you can create content that serves human needs more effectively and scales through AI systems.
Topics covered
Note: This outline is subject to change
Writing for two audiences
- Understanding how to create content that resonates emotionally with humans while remaining machine-readable for AI systems (The dual audience paradigm)
- The cognitive differences between how humans seek emotional connection and narrative while AI processes statistical patterns and semantic relationships
- The shift from “search and click” to “ask and receive,” where AI acts as a concierge mediating your first impression with audiences
- Defining SEO, GEO (generative engine optimisation), AEO (answer engine optimisation), and how they work together
Information structure and design
- Outlining and planning the document
- Designing information flow
- Designing for scanability
- How to meet the needs of more than one audience
- How to structure and organise the content to assist users in finding what they are looking for
- Why structure matters
- Logical content hierarchies:o provide visual roadmaps for humans and semantic signals for machines
- Descriptive, context-rich headings
- Topic-based writing
- Chunking for readability and extraction
- Structured formats
- Content templates for consistency
Writing for humans
- What content should you write?
- Writing the topics
- Using clear English
- How to write and present different types of information
- Organising the content in a page
- Page layout and how this can help users find what they are looking for.
Writing for LLMs
- Writing the topics
- Eliminating ambiguity
- Making implicit information explicit
- The self-contained principle
- Consistency and terminology standards
- HTML5 semantic elements
- Markdown best practices
- Schema.org and json-ld
- Files for AI crawlers
- Topic clusters
- Natural language alignment
Revising content for both audiences
- Why revise content
- Applying dual-audience writing principles to analyse real content critically
- Identifying specific weaknesses that impact both human readers and AI systems
- Developing systematic revision strategies using a structured approach
- Using practical checklists to evaluate and improve documentation quality
Software
- Agents that simulate how humans and AI systems understand the content and identify any issues.
Testing and optimisation
- Understanding your dual audience
- Testing methods for human readability
- Testing methods for LLM effectiveness
- Integrated testing approaches
- Optimisation strategies
- Measuring success
- Iterative improvement process
Delivery format
Standard course delivery
This instructor-led course is delivered online over three consecutive days via Microsoft Teams:
- Duration – Three 3-hour sessions
- Format – Live, interactive sessions with practical exercises
- Platform – Microsoft Teams (other platforms available for corporate bookings)
Corporate/Enterprise pricing
We offer private sessions for teams of up to 12 participants, with:
- Dedicated session for your organisation only
- Customisable content tailored to your industry and documentation needs
- Analysis of your company’s actual documentation examples
- Flexible scheduling to suit your team
- Optional follow-up consultation session
Contact us to discuss this option.
an AI app that optimises content for both humans and LLMs
Cherryleaf has developed an advanced content editor that analyses and optimises text for two distinct audiences: human readers and Large Language Models. Contact us for more information.
Workshops and consultancy options
Implementation support
For organisations that are ready to fully integrate AI, we offer consultancy services to guide your strategy, implementation, and change management. It bridges the “knowing-doing” gap.
This typically comprises training, plus:
- 30/60/90-day Slack/Teams support to help you implement the solutions
- 1-hour follow-up coaching calls
- Access to our agent template library
Contact us
Ready to get started?
Email:
info@cherryleaf.com
We’re happy to discuss your specific needs via Microsoft Teams, Zoom, GoToMeeting, or your preferred video conferencing platform.