Key takeaways
- The GEO paper was first submitted to arXiv on Nov. 16, 2023, and was accepted to KDD 2024. [1]
- As of Oct. 29, 2026, Google says its AI search features rely on core Search ranking and quality systems. [2]
- AVJ’s methodology distinguishes linked citations from brand names appearing in answer text. [3]
Definition: Generative engine optimization is work intended to improve how visibly content appears in responses generated by AI search systems; the research paper introducing GEO describes a black-box optimization framework and visibility metrics. [1]
Related concepts: Answer engine optimization and AI visibility.
Where does the term come from?
Pranjal Aggarwal and colleagues introduced GEO in their paper GEO: Generative Engine Optimization, first submitted in November 2023 and revised on June 28, 2024. [1] The paper describes generative engines as systems that combine information from multiple sources into generated answers. [1]
How does it work?
The researchers frame GEO as optimizing content visibility without access to the engine’s internal workings. [1] Their GEO-bench benchmark supports evaluation across different query domains, and the abstract reports that the effectiveness of strategies varies by domain. [1]
That research framework is distinct from Google’s platform-specific guidance: as of Oct. 29, 2026, Google says foundational SEO remains relevant to its generative AI features. [2]
What does the evidence support?
| Question | Supported answer | Scope |
|---|---|---|
| Is GEO a research framework? | The paper introduces an optimization framework and benchmark. [1] | The paper’s research setting. |
| Does Google require special AI files? | Google says AI text files and special markup are unnecessary for Google Search. [2] | Google Search, as of Oct. 29, 2026. |
| Can outside tools access Google’s internal systems? | Google says third-party tools lack access to its internal ranking and AI systems. [2] | Google’s documented position. |
How can it be measured?
AVJ’s Citation Index methodology defines citation share and presence rate as separate measures of source visibility. [3] These are design definitions, not evidence that an optimization tactic works. [3]
For Google, the official guide recommends Search Console’s Generative AI performance report to monitor appearances in its generative AI features. [2]
How this was made: AVJ used AI tools to help draft this definition and compare it with the cited sources. Nhi Phan reviews the published version.
Sources
[1] Aggarwal, Pranjal, et al. GEO: Generative Engine Optimization. arXiv:2311.09735; first submitted Nov. 16, 2023; revised June 28, 2024; accepted to KDD 2024; accessed Oct. 29, 2026. https://arxiv.org/abs/2311.09735
[2] Google Search Central. Optimizing your website for generative AI features on Google Search. Updated July 10, 2026; accessed Oct. 29, 2026. https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
[3] AI Visibility Journal. AVJ Citation Index — Methodology. Methodology v0, published Oct. 23, 2026; accessed Oct. 29, 2026. /index/methodology/