There are now half a dozen genuinely large AI-citation datasets floating around — 129,000 domains here, 1.4 million prompts there — and most of the commentary on them is either stat regurgitation or a sales pitch. This post does something different: we line the biggest 2026 datasets up next to each other, keep only the numbers we could verify at the source, and rank what they actually agree on into a to-do list for a mid-sized service business.
What this covers
- The five datasets we synthesised
- Takeaway 1: Referring domains are the biggest lever — and the slowest
- Takeaway 2: Freshness has a hard expiry date
- Takeaway 3: Depth and speed both correlate with citations
- Takeaway 4: Quotes and statistics are the highest-ROI edit
- Takeaway 5: FAQ content helps; FAQ schema markup didn't
This is a technical summary. The full guide — with the data, tables and worked examples — is on our site: *What Actually Drives AI Citations? Takeaways from the Biggest 2026 Datasets*.
LeadsNow AI builds pay-per-result AI lead generation and answer-engine-optimisation systems in Australia.
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