Agentic AI Optimisation (AAIO): What it is, How it Works, Why it Matters, and How to Deal With It
(revised preprint, published in Minds and Machines)

20 Pages Posted: 21 Apr 2025 Last revised: 29 Apr 2026

See all articles by Luciano Floridi

Luciano Floridi

Yale University - Digital Ethics Center; University of Bologna- Department of Legal Studies

Carlotta Buttaboni

Yale University - Digital Ethics Center; Eindhoven University of Technology (TUE); Rathenau Instituut

Nicolas Gertler

Yale University - Digital Ethics Center

Emmie Hine

Yale University - Digital Ethics Center; University of Bologna- Department of Legal Studies; KU Leuven - Centre for IT & IP Law (CiTiP)

Jessica Morley

University of Oxford - Bennett Institute of Applied Data Science

Claudio Novelli

Yale University - Digital Ethics Center

Tyler Schroder

Dakota State University; Yale University - Digital Ethics Center

Date Written: January 22, 2026

Abstract

The emergence of Agentic Artificial Intelligence (AAI) systems capable of independently initiating digital interactions necessitates a new optimisation paradigm designed explicitly for seamless agent-platform interactions. This article introduces Agentic AI Optimisation (AAIO) as an essential methodology for ensuring effective integration between websites and agentic AI systems. Like how Search Engine Optimisation (SEO) has shaped digital content discoverability, AAIO can define interactions between autonomous AI agents and online platforms. By examining the mutual interdependency between website optimisation and agentic AI success, the article highlights the virtuous cycle that AAIO can create. It further explores the governance, ethical, legal, and social implications (GELSI) of AAIO, emphasising the necessity of proactive regulatory frameworks to mitigate potential negative impacts. The article concludes by affirming AAIO's essential role as part of a fundamental digital infrastructure in the era of autonomous digital agents, advocating for equitable and inclusive access to its benefits. 

Keywords: Agentic Artificial Intelligence (AAI), Agentic AI Optimisation (AAIO), Digital Optimisation, AI Ethics, Digital Governance

Suggested Citation

Floridi, Luciano and Buttaboni, Carlotta and Gertler, Nicolas and Hine, Emmie and Morley, Jessica and Novelli, Claudio and Schroder, Tyler, Agentic AI Optimisation (AAIO): What it is, How it Works, Why it Matters, and How to Deal With It
(revised preprint, published in Minds and Machines) (January 22, 2026). Available at SSRN: https://ssrn.com/abstract=5220068 or http://dx.doi.org/10.2139/ssrn.5220068

Luciano Floridi (Contact Author)

Yale University - Digital Ethics Center ( email )

85 Trumbull Street
New Haven, CT CT 06511
United States
2034326473 (Phone)

University of Bologna- Department of Legal Studies ( email )

Via Zamboni 22
Bologna, Bo 40100
Italy

HOME PAGE: http://www.unibo.it/sitoweb/luciano.floridi/en

Carlotta Buttaboni

Yale University - Digital Ethics Center ( email )

85, Trumbull Street
New Haven, CT 06511
United States

Eindhoven University of Technology (TUE)

PO Box 513
Eindhoven, 5600 MB
Netherlands

Rathenau Instituut ( email )

Anna van Saksenlaan 51
The Hague, 2593 HW
Netherlands

Nicolas Gertler

Yale University - Digital Ethics Center ( email )

85, Trumbull Street
New Haven, CT 06511
United States

Emmie Hine

Yale University - Digital Ethics Center ( email )

85, Trumbull Street
New Haven, CT 06511
United States

University of Bologna- Department of Legal Studies ( email )

Via Zamboni 22
Bologna, Bo 40100
Italy

KU Leuven - Centre for IT & IP Law (CiTiP) ( email )

Sint-Michielsstraat 6 box 3443
Leuven, 3000
Belgium

Jessica Morley

University of Oxford - Bennett Institute of Applied Data Science ( email )

Claudio Novelli

Yale University - Digital Ethics Center ( email )

85, Trumbull Street
New Haven, CT 06511
United States

HOME PAGE: http://https://dec.yale.edu

Tyler Schroder

Dakota State University

820 N. Washington Avenue
Madison, SD 57042
United States

Yale University - Digital Ethics Center ( email )

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