The four citation-worthy formats
- Original data. Benchmarks, surveys, telemetry, pricing studies. Even modest original data (30 prompts × 5 engines) is uncopiable by definition. This site's benchmark series exists for exactly this reason.
- Canonical definitions. The cleanest 80-word definition of a term in your field, kept current. Definitions are the most-lifted passage type in AI answers.
- Transparent methodology. Publishing how you measured makes the numbers citable by careful writers — and engines reward what careful writers cite.
- Structured comparisons. Honest comparison tables (including where you're weak) get lifted into "X vs Y" answers — a query class that is growing fast as commercial AI queries expand.
Formats engines lift
- Definition boxes and answer blocks (see the writing chapter).
- Tables with clear row/column semantics — machines parse tables more reliably than prose lists.
- Numbered checklists and step sequences.
- Dated statistics with named sources — the "2.5B users (Alphabet Q2 2026)" pattern.
The originality bar
Test every content investment with one question: could the engine have written this without us? If yes, it adds no citation surface — it's synthesis fodder at best. If no — because it contains your data, your method, your measured experience — it is a source. Budget accordingly.
Frequently asked questions
We're a small company with no data — can we still be citation-worthy?
Yes: definitions and methodology are open to anyone. Write the clearest explainer in your niche, publish your honest process, run small structured tests and publish the results with limitations stated. Small-but-original beats large-but-derivative.
Should citation-worthy content be gated?
No — gated content is invisible to retrieval. Publish the findings openly; gate the tooling or the engagement, not the data. The citation is worth more than the email address.