CS-701
Content Strategy
How to plan, create and maintain content that ranks in Google and gets cited by AI tools.
The earlier subjects cover individual fixes; this one covers the planning layer above them - deciding what to write, how to structure it, and how to keep it accurate as your industry and the AI tools reading it both change. It ties together on-page structure, search intent and AEO into a repeatable process rather than a one-off checklist.
Lesson 1
What Content Strategy Actually Means
Content strategy is the plan behind what you publish - not just what topics to write about, but why those topics, for which audience, in what format, at what frequency, and with what goal.
Lesson 2
Choosing the Right Content Format
The format of your content matters as much as the topic.
Lesson 3
Binary Answer Pages: A Format AI Tools Love
One of the most underused content formats in 2026 is the binary answer page: a page built entirely around a yes-or-no question, with the answer stated immediately and the reasoning explained underneath.
Lesson 4
Content Freshness and the Update Strategy
Publishing new content is only half the job.
Lesson 5
Writing Content That AI Tools Want to Cite
Getting cited by AI tools like ChatGPT, Perplexity and Google's AI Overviews is not random.
Lesson 6
Being Cited Is Not the Same as Being Recommended
Many brands have tried a tactic to appear in AI search results: publish a "best [category]" article that lists competitors but ranks themselves as number one.
Lesson 7
Create One Original Data Point Per Topic
LLMs do not need to cite content that restates what they already know.