CATEGORY MAP

GEO. AEO. AI Visibility. Source Intelligence.

Four terms for four related things. They are not interchangeable. Knowing the precise relationship between them is the easiest way to understand the AI visibility category — and to see that all four sit inside Phase 1 of a longer journey: understanding what AI is doing before you improve it and, eventually, answer it directly.

THE FOUR TERMS

A precise definition of each.

UMBRELLA TERM

GEO - Generative Engine Optimization

The umbrella discipline. All optimisation strategies aimed at being cited, recommended, mentioned, or referenced by any generative AI system. GEO covers content engineering, entity authority, structured data, third-party source presence, and continuous measurement across multiple AI engines. It is the broadest term in current use.

Most useful when: you need a single term that covers the whole discipline.

NARROWER SUB-DISCIPLINE

AEO - Answer Engine Optimization

A sub-discipline of GEO focused on the answer-extraction layer. AEO is concerned with being chosen as the cited source when an answer engine extracts a specific factual answer. Tactically it overlaps heavily with GEO but emphasises FAQPage schema, answer-first content shape, and direct extractability. HubSpot's branding has popularised the term - in practice many teams use AEO and GEO interchangeably.

Most useful when: you want to optimise specifically for answer engines (ChatGPT, Perplexity, Google AI Overviews).

OUTCOME METRIC

AI Visibility

The measurable outcome that GEO and AEO try to move. AI Visibility describes how often, how accurately, and how favourably a brand appears in AI-generated responses. It is the metric that boards and CMOs want reported on. GEO and AEO are the disciplines; AI Visibility is the score.

Most useful when: reporting to executives or measuring progress over time.

A SPECIFIC LAYER OF GEO

Source Intelligence

Coined by Kodiac. The discipline of monitoring and improving the third-party sources AI systems cite when describing a brand - Reddit, Wikipedia, G2, Hacker News, trade press, news. University of Toronto research (Chen et al., September 2025) found AI search engines cite these earned sources 74-92% of the time depending on category, vs Google's more balanced mix. Most GEO and AEO tools either ignore this layer or treat it as a footnote. Source Intelligence is the layer that produces the largest movement in AI visibility for most brands.

Most useful when: you've optimised your owned content and your AI score still isn't moving.

HOW THEY RELATE

A single picture of the category.

Term What it is Scope Used by
GEODiscipline (umbrella)All generative AI surfacesSpecialist vendors, technical SEO community
AEODiscipline (sub-set)Answer-extraction layerMainstream marketing tools, HubSpot ecosystem
AI VisibilityOutcome metricHow brand appears in AI responsesCMOs, boards, brand teams
Source IntelligenceSub-discipline of GEOThird-party sources AI citesBrands serious about diagnosing root causes
THE NEXT ERA

Why Source Intelligence is where GEO and AEO go next.

GEO and AEO are now widely-known categories with crowded vendor landscapes. Source Intelligence is where brands win or lose AI visibility in practice - and where most current tools have nothing to offer.

The strategic claim

If your AI visibility score is low and you have already optimised your owned content, the answer is almost always Source Intelligence. The next era of AI brand discovery is not about more content on your website. It is about understanding, measuring, and influencing the third-party sources that produce the overwhelming majority of your AI representation. And beyond that lies the real prize: not chasing what AI says, but governing what it can rely on.

THE BIGGER PICTURE

Visibility is the symptom. Control is the real problem.

All four terms describe ways of understanding and improving what AI is doing today. Organisations have lost control over how AI understands them — that is the problem underneath every visibility score. Kodiac is the control layer for AI-mediated discovery, built as three phases of one journey.

Phase 1 · Understand what AI is doing

Kodiac Audit

See how AI currently understands your organisation — diagnosis, benchmarking and prioritised recommendations across the major AI systems.

Learn more →

Phase 2 · Influence what AI does

Kodiac Content

Actively improve how AI understands you — structured content, schema, taxonomy, knowledge graphs, governance and API delivery across your existing systems.

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Phase 3 · Become the system AI depends on

Kodiac Agent

Participate directly in AI-mediated decisions — a governed Brand Agent serving trusted, real-time answers over MCP and trusted APIs.

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See all four in your free audit.

A single 60-second audit shows your AI visibility score, scores your owned content for AEO/GEO, and surfaces the top 10 third-party sources shaping your brand. No credit card. It is Phase 1 of the Kodiac journey: understand, improve, participate.

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