ASEO vs GEO: These Are Not the Same Discipline

GEO and ASEO are not the same discipline. GEO is a research framework coined in a 2023 arXiv paper. They're used in the same conversations, applied to loosely overlapping problems, and treated by much of the industry as synonyms. They aren't. The distinction matters: for practitioners buying services, for brands allocating budget, and for anyone trying to understand what they're actually purchasing when they hire an "AI search" provider.

This piece sets the record straight. Where each term came from, what it actually covers, and why conflating them produces bad purchasing decisions and worse measurement.

Where GEO came from

GEO stands for Generative Engine Optimisation. The term was coined by researchers from Princeton University and IIT in a paper submitted to arXiv in November 2023 (arXiv:2311.09735) and accepted to KDD 2024, one of the top data mining conferences. The authors (Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, and Ameet Deshpande) framed GEO as a response to a specific problem: as generative engines replaced traditional search, content creators lost visibility into when and how their content was used.

The paper's scope is precise. GEO addresses how content creators can modify existing content to appear more frequently in generative engine responses. The techniques it tests include adding authoritative citations, quotations, statistics, and persuasive language to existing pages. The benchmark it introduces, GEO-bench, measures whether these modifications increase a page's appearance rate in AI-generated answers. The paper demonstrates up to 40% improvement in visibility using these methods.

That's a meaningful contribution. And it's a well-defined one. GEO, in its original form, is a content modification framework for improving visibility within generative engine responses.

Several commercial platforms have since adopted GEO as a category label. LightSite AI, for example, describes itself as a "Full Stack GEO Agent" and "AI Search Infrastructure and Execution Platform." Their product covers machine-readable infrastructure (AI sitemaps, endpoints, structured data) and AI visibility monitoring. That's a reasonable expansion of the GEO label into commercial territory, and the commercial use has already drifted significantly from the original academic definition.

Where ASEO came from

ASEO stands for AI Search Engine Optimisation. It's a methodology and commercial practice developed by Cited By AI®, operated by Tedford Services Group Ltd, Gloucester. The registered marks include Cited By AI®, Citation Probability Score®, and CPS®.

ASEO as a commercial discipline covers a different scope than GEO. It's not a content modification framework. It's a measurement and improvement discipline: the equivalent of what SEO became once Google's ranking signals were properly understood and tools emerged to measure them systematically. ASEO treats AI citation as a measurable commercial outcome, not a byproduct of content quality.

The core of ASEO is the Citation Probability Score® (CPS®): a 0-100 metric applied at block level (per 134-167 word chunk) that scores how likely a specific paragraph is to be retrieved and cited by an AI retrieval system. Five pillars drive the score: Content Structure, Fact Density, Answer Structure, Self-Containment, and Freshness Signals. A block scoring Grade B (65-79/100) or above is regularly cited. Below Grade D, it's invisible to AI retrieval regardless of the article's overall quality.

The definitions, side by side

What each one actually covers

Why the distinction matters for buyers

If you hire a GEO provider, you're buying content visibility improvement. The provider will modify your content, build machine-readable infrastructure, and monitor how often you appear in AI-generated answers. That's a real service solving a real problem.

If you buy ASEO, you're buying measurement first, then improvement. The audit establishes your current Share of Voice across five platforms and three funnel stages, scores every page on your site at paragraph level, detects hallucinations in AI-generated brand mentions, calculates your competitive win rate, and attributes AI-referred traffic to revenue through GA4. The content that gets written comes after diagnosis, not before it. Every block that gets generated is verified for citability before it's delivered.

Buying a GEO service expecting ASEO outcomes will produce frustration. The provider isn't failing; they're doing what GEO does. But GEO doesn't measure whether your content is actually cited at query time, which pillar is failing, or which funnel stage is bleeding Share of Voice to a specific competitor. Those questions require a different methodology.

Why GEO becoming the default label is a problem

When one term absorbs a category it doesn't accurately describe, buyers make worse decisions. They evaluate providers against GEO criteria when the service they actually need is ASEO-scope. They accept Share of Voice as a proxy for citation probability when it's a different metric with different implications. And the providers who are doing the harder, more precise work get bundled into a category that doesn't capture what they do.

GEO is a legitimate concept. The original research is credible and the commercial platforms using the label are doing real work. None of that requires ASEO to surrender its distinct scope, methodology, and trademark territory to a category label that doesn't fit.

ASEO is AI Search Engine Optimisation. It's the practice of measuring and improving how a brand is cited by AI platforms, with a registered methodology, verified scoring, and traceable commercial outcomes. That's what the trademark covers. That's what the practice means. And that's what buyers should be asking for when they want results that reach a CFO.

A note on terminology going forward

GEO will likely continue expanding as a catch-all label. That's fine. Categories need terms, and GEO arrived first in the academic literature. What shouldn't happen is ASEO being treated as a synonym, a subset, or a rebrand of GEO.

ASEO predates the commercial GEO category. It covers more ground. CPS® and Citation Probability Score® carry registered trade marks in the UK. And it operates on a different methodology: measurement-first, diagnosis-led, citability-verified. Using the two terms interchangeably isn't just imprecise; it actively misrepresents what serious ASEO practice involves and what buyers should expect from it.

If you're evaluating AI search providers, ask them which methodology they use. Ask whether they measure at block level or at article level. Ask whether citability is verified or assumed. Ask what happens to the GA4 data once the content is published. The answers tell you whether you're buying GEO or ASEO, and whether the scope matches what you actually need.