A sourced reference for AI Optimization

What is known about AIO.

AIOFacts documents the definitions, evidence, claims, disagreements, and changes shaping AI Optimization. It separates what can be supported from what is still emerging or unproven.

AIOFacts defines the terminology. The practice itself belongs to AIOTruth, which publishes how AI Optimization is evaluated and verified.

Published by Digilu. Maintained with documented sources, visible corrections, and versioned definitions.

Clear Proof Cited Expert Open Entity Same Trust AIO

AIO  /  AI Optimization  /  noun

AI Optimization is the practice of improving how clearly AI-powered systems can access, understand, verify, and represent an entity, its information, and its evidence.

AIOFacts position

This is the AIOFacts working definition, version 2.0, published by Digilu. The terminology remains unsettled, and other practitioners use terms including GEO, AEO, LLMO, AI search optimization, and answer-engine optimization. Read the full definition, with its version record.

What is changing

A share of discovery is moving from ranked links to generated answers.

AI assistants and AI search surfaces now answer some questions directly instead of returning a list. How large that share is, and how fast it is growing, is measured differently by different sources. What is publicly observable is that the surface exists and that it names a small number of options.

01

The ranked-link path

Search, results, website, the person evaluates, the person decides. The practice built around it is search engine optimization.

02

The generated-answer path

Question, the system assembles an answer, a few sources are named, the person verifies and decides. This is the surface AIOFacts documents.

Supported

That AI-generated answer surfaces exist and cite a limited number of sources is directly observable in the products themselves. The size of the shift, and whether it displaces or supplements search, is measured inconsistently across sources and is not settled here.

The terminology

Several names are in use, and none of them has won.

AIOFacts uses AIO as an umbrella term for work intended to improve visibility, interpretation, citation, and representation across AI-powered discovery systems. Other practitioners use GEO, AEO, LLMO, AI search optimization, and related terms differently. The terminology has not reached universal agreement.

TermStands forHow its users describe it
AIOAI OptimizationUsed here as the broadest term, covering how AI systems access, understand, verify, and represent an entity.
GEOGenerative Engine OptimizationUsed for visibility inside generative search answers. Its practitioners do not generally describe it as a part of AIO.
AEOAnswer Engine OptimizationUsed for direct answers, snippets, and voice responses.
LLMOLLM OptimizationUsed for visibility in large language model outputs specifically.
SEOSearch Engine OptimizationRanked-link search. Still in active use, and overlapping with all of the above.
Disputed

Which term describes this work, and how the terms relate to one another, is actively disagreed on by credible practitioners. The comparison pages separate documented usage from the AIOFacts position and from what remains unsettled.

Compare the terminology →

What gets measured

A second set of questions has appeared next to the traffic ones.

Ranked-link measures

How much traffic, what we rank for, how many clicks. Well established, well instrumented, and still in use.

Generated-answer measures

Whether we are named, cited, or referenced when an assistant answers. Newer, measured inconsistently, and not yet standardized across tools.

AIOFacts publishes no scores. Evaluating the signals a specific site publishes is what AIOInsights does.

The Source Library

111 entries, currently under audit.

The library was built from templates and from automated drafts, and none of its entries cites an external source. Automatic publication is paused. Every entry has been set to noindex, follow and removed from the sitemap until it passes the source audit. The pages are kept and readable, not deleted.

Unverified

These entries have not been checked against external sources. Read them as unreviewed material, not as findings. Entries are being audited in order and relabelled as they pass.

Browse the Source Library →

Where this sits

AIOFacts is the reference layer of a larger system.

The AIO platform has one public front door and several engines behind it. AIOFacts is the definitions and standards layer. It documents; it does not diagnose, score, or sell.

AIOInsights

The flagship public platform and entry point. It unifies the engines and answers one question for a specific site: how does AI understand this business?

AIOTruth

The evaluation and verification engine behind the main AIOInsights checks. It examines the observable signals a specific site publishes.

AIOStory

The comparison engine: how a business shows up against others, and across locations. Comparison lives here, not on AIOFacts.

AIOWeather

The forecasting and change-intelligence engine: what is shifting in how AI systems retrieve and recommend, labeled by confidence.

AIOFacts

This site: the reference authority for definitions, standards, evidence, and technical education. It publishes no scores and runs no diagnostics.

Digilu

The company that provides strategy, implementation, ongoing management, and accountability. It publishes AIOFacts and sells work in this field, a conflict disclosed in the Editorial Method.

Start here

The definition, and the standard behind it.

Read the working definition with its version record, then read the standard that governs what may be published here and how errors get corrected.

Start with the AIO Definition Editorial Standard →