ContentGrapher maps the concept structure of your content, flags what’s underexplained or missing, and tells you what to add so AI tools cite you. Whether it works as advertised is another question.
- Digital marketer Daniel Cheung spent two years hand-coding schema.org ontologies, only to watch the structured data signal collapse when LLMs went mainstream.
- He built ContentGrapher, a tool that maps conceptual relationships in content rather than keyword gaps, because RAG pipelines retrieve concepts but lose the connections between them.
- The tool translates that relational logic into writing guidance for humans, with five free analyses and no subscription.
