Content Marketing
Content designed to be cited by ChatGPT, Perplexity, and AI Overviews — not just indexed by Google.
The difference between content for SEO and content for AI search
Traditional SEO content is written for crawlers and ranked by relevance signals. AI search content has to clear a higher bar — it has to be specific enough, evidence-backed enough, and structurally clear enough that an AI assistant decides it’s worth quoting.
We build content around the exact prompts your buyers are asking AI tools, with the depth and specificity LLMs pull into their responses.
What’s included
- Prompt research mapping high-intent AI queries in your category
- “Best of” articles with comparison tables, specs, and use cases
- Competitor comparison posts targeting decision-stage prompts
- Subject-matter-expert quotes and statistics (the patterns that increase citation likelihood by 27–30%)
- FAQ-structured content that maps directly to how AI surfaces answers
- Monthly editorial calendar tied to your prompt tracker
What citation-optimized content looks like
Per a Princeton study on AI citation patterns, the strongest signals are: expert quotes (~30% lift in citation likelihood), quantitative statistics (~27% lift), simple Wikipedia-style language (~22%), and source citations within the content (~20%). Every piece we publish is structured around these patterns.
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