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GEO examples

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GEO examples show how a page is changed to be easier for AI answers to use: putting a direct answer first, adding a sourced statistic, citing a primary source, or quoting an expert. The GEO paper tested methods like these and reported gains of up to 40% in its benchmark; later research found weaker effects, so test changes.

Example 1: direct answer first

Before: three paragraphs of background before the definition. After: a one-sentence definition in the first paragraph, then detail. This mirrors the question-answer structure of AI responses.

Example 2: add a sourced statistic

Before: “Most searches don’t get clicks.” After: “SparkToro’s 2024 study found 58.5% of US Google searches ended without a click.”[1] The GEO paper’s “Statistics Addition” method was among its stronger performers.[2]

Example 3: cite and quote primary sources

Before: “Google says no special markup is needed.” After: quote Google: “There’s also no special schema.org structured data that you need to add.”[3] The GEO paper tested “Cite Sources” and “Quotation Addition.”[2]

Do these examples work?

C-SEO Bench found most content-rewriting methods largely ineffective in its setup.[4] See GEO replications.

Frequently asked questions

What is the best GEO technique?

In the original paper, adding quotations, statistics and citations performed best; results vary by domain.

Is keyword stuffing a GEO technique?

It was tested and performed poorly.

Can I see real GEO case studies?

Vendor case studies exist but are rarely independently verified.

References

Sources accessed October 14, 2026 unless another date is given. See all sources.

  1. “2024 Zero-Click Search Study”. SparkToro (data from Datos). July 1, 2024.
  2. “GEO: Generative Engine Optimization”. arXiv (Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, Deshpande). v1 submitted November 16, 2023; published at KDD ’24.
  3. “AI features and your website”. Google Search Central. accessed October 14, 2026.
  4. “C-SEO Bench: Does Conversational SEO Work?”. arXiv (Puerto, Gubri, Green, Oh, Yun). June 2025; NeurIPS 2025 Datasets & Benchmarks.
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