Topic hub
Content and keywords
What to write, how to structure it, and how to make pages that AI answers want to cite. Content strategy for working publishers.
Content is where most SEO effort goes, and where most of it is wasted. AI assistants now answer basic definitional questions, so generic articles have lost their value. What still works is specific, original, and matched to what the reader is actually trying to decide.
The numbers back this up. Across 100 companies studied by Neil Patel's team, AI-generated content made up 52.1% of what they published but drove only 4.9% of their organic traffic. And 68% of US Google searches now end without a click, according to SparkToro. Content has to earn the click, or earn the citation.
The tips in this hub come from Instagram posts by working SEO experts, summarized in our own words, with the source post embedded and linked.
From Issue 1
- Generic B2B 'what is X' content is dead (Brian Dean)
- AI content was half the output, under 5% of the traffic (Neil Patel)
Frequently asked questions
What content still ranks?
Content built on something AI cannot generate: original data, real experience, a genuine case study, a comparison you actually tested. Generic summaries of what everyone already wrote do not rank anymore, because AI answers them directly.
Does AI-generated content rank?
Rarely on its own. In a study of 100 companies, AI-generated content was 52.1% of output but drove only 4.9% of organic traffic. AI can help draft and research, but the published page needs a human angle: experience, data, or judgment.
How do I write for AI answers?
Answer the question in the first 40 to 60 words, use question-based headings, keep each section self-contained, and include verified facts with dates. AI tools cite pages they can understand and trust, so clarity and specificity beat length.
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