GEO Content Optimization

Rewrite content so generative engines cite it and answer engines feature it. Classic SEO gets you ranked; GEO gets you quoted in the AI answer. The two are different jobs, and most content does neither for AI because it reads like undifferentiated prose with no extractable facts.

When to use

The user wants a page to be cited by LLMs / appear in AI Overviews / win featured snippets, or wants a draft written to do so from the start.

Method

Retrieval comes first. A page an engine never retrieves is never cited, so crawlability, content in the raw HTML, indexation and a direct answer to a real question come before any rewrite. Then make each passage the most useful, checkable unit on the topic. Don't keyword-stuff — it lowered visibility in the study below.

What the evidence says about content levers:

• The original GEO study (Aggarwal et al., KDD 2024) placed five search results in a model's context, rewrote one, and measured its share of the answer. Against a baseline of 19.3 (position-adjusted word count): quotations 27.2 (about +41%), statistics 25.2 (about +31%), cited sources 24.6 (about +27%), technical terms 22.7 (about +18%). Keyword stuffing fell to 17.7.
• Those gains are within a fixed context, not across search. SAGEO Arena (Kim et al., KDD 2026) ran the full pipeline — crawl, retrieval, reranking, generation — and found that optimising the body for citation alone lowered retrieval and final citation. C-SEO Bench (Puerto et al., NeurIPS 2025 Datasets & Benchmarks) found only 3 of 54 method–domain combinations significantly positive.
• So use the levers because they make the page better, not as a forecast. Real statistics, named sources and attributed quotations make a claim checkable for a reader and an engine alike. Never promise a percentage lift.