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Structure beats rewriting: the stable lever in AI citations

Several independent studies point the same way — giving content structure earns more AI citations than polishing wording, and pure rewriting can even lose ground.

Many teams’ first instinct in GEO is “let’s make the copy flow better.” The measured data keeps saying otherwise: what gets you cited by AI is mostly not smoother sentences, but clearer structure.

Three independent studies, one direction

  • GEO-SFE (arXiv 2603.29979): structural remodeling of a document lifts citations by about +17.3%.
  • SAGEO Arena: structural remodeling +22%, while pure prose rewriting −9% — opposite directions.
  • Princeton’s foundational GEO paper (KDD 2024, arXiv 2311.09735): adding statistics +33–41%, citing sources +30%, adding quotations +28–41% in citation rate.

Put together, the conclusion is consistent: machine-parseable structure signals (heading hierarchy, lists, tables, explicit numbers and citations) decide whether a passage gets cited far more than wording polish does.

“Document structure is the most stable citation signal in AI engines; pure prose rewriting can actually lose ground.”

Why infrastructure dominates content tweaks

One level up, C-SEO Bench (NeurIPS 2025, arXiv 2506.11097) offers an easily overlooked result: infrastructure dominates content tweaks. Whether AI can fetch you and parse your structure comes before “is this sentence well written.”

That’s exactly why our site audit fixes the three-tier weights at 45 / 30 / 25 — basic access highest, structured data next, content and entities last:

  1. Basic access (45): robots allowing AI crawlers, llms.txt, HTTPS, server-readability, sitemap with lastmod.
  2. Structured data (30): JSON-LD (Organization / FAQ / Article…), Open Graph, canonical, hreflang.
  3. Content and Chinese entities (25): heading hierarchy, statistic density, citation density, quotable assertions, freshness, structure signals, encyclopedia/social presence.

What to actually do

If you can only do three things first, in this order:

  1. Let AI in and let it read: allow crawlers, add llms.txt and structured data.
  2. Then give content structure: headings, lists, checkable numbers and citations — not endless wording edits.
  3. Wording comes last: once structure and evidence are in place, polish has marginal value.

Get the order wrong and no amount of rewriting buys back citations. Measure which tier you’re stuck on first — that’s what our site audit does.


For the source behind each weight, read the full methodology.