The terms overlap, and their definitions are not used uniformly across the industry. A useful starting point is to treat them as different lenses on the same discovery journey—not as four competing formulas.

SEO: the broad foundation for discovery

Search engine optimization (SEO) helps search systems find, understand and present relevant pages to users. It includes technical accessibility, useful content, clear site structure, internal links and other practices that help people decide whether a result is worth visiting.

For Google’s AI search features, the existing SEO foundations still apply. Google says pages must be indexed and eligible to appear with a snippet to qualify as supporting links in AI Overviews or AI Mode. It does not require special AI markup or guarantee that an eligible page will appear. Read Google’s guidance on AI features.

SEO is therefore not simply “ranking for keywords.” It is the wider groundwork that helps a site become discoverable and understandable.

AEO: making information answer-ready

Answer Engine Optimization (AEO) is a commonly used term for preparing content to respond clearly to questions in answer-oriented experiences. In practice, this can mean stating the answer directly, organizing information with descriptive headings, explaining terms and making supporting evidence easy to find.

AEO is best understood as a focus within broader discovery and content-quality work—not as a separate official Google ranking system. Google describes AEO as a term people use for work aimed at visibility in AI search, while noting that its own generative search features continue to rely on SEO foundations. See Google’s guide to generative AI features in Search.

GEO: studying visibility in generative answers

Generative Engine Optimization (GEO) focuses on how content may be surfaced, used or cited in responses produced by generative search systems. GEO has also become a subject of academic research. A KDD 2024 paper proposed methods and a benchmark for studying source visibility in generative-engine responses. Its experiments show that visibility can be investigated and measured, but they do not establish a universal method that guarantees results across platforms and topics. Aggarwal et al., “GEO: Generative Engine Optimization,” KDD 2024.

GEO does not replace SEO. It asks additional questions about content discovery and use in generative answers, while still depending on accessibility, relevance and useful information.

AI visibility: the outcome being observed

AI visibility describes whether a site or its pages appear in AI experiences, and what form that appearance takes. A practical measurement approach may track distinct signals:

  1. Mention: Is the brand or website named?
  2. Citation: Is a page linked or identified as a supporting source?
  3. Recommendation: Is the brand or its offering actively suggested?

These signals are not interchangeable. A citation does not necessarily mean a recommendation, and a mention may not include a link. For a closer look, see our guide to mentions, citations and recommendations.

Measurement tools are beginning to expose some of these signals. Microsoft’s Bing Webmaster Tools AI Performance report, for example, shows citation activity and pages referenced across supported AI experiences. Microsoft describes citation data as observational; on its own, it does not indicate ranking or authority. Learn about Bing Webmaster Tools AI Performance.

How the four perspectives fit together

  1. SEO supports a site’s overall discoverability and comprehension.
  2. AEO focuses on presenting information so it can answer a specific question clearly.
  3. GEO examines whether content is surfaced or cited in generative responses.
  4. AI visibility tracks observable appearances and their different forms.

The process is connected, not guaranteed: a page may be technically accessible but not selected; it may be cited without producing a visit; and a visit does not automatically mean the content satisfied the user.

How Bilveo brings the perspectives into one workflow

Bilveo brings SEO, AEO, GEO, AI Readiness and AI Visibility perspectives into a shared website-audit workflow. Considering them together can help teams understand different types of findings and decide what to investigate or improve next. It does not promise a particular ranking, citation or recommendation; the aim is to make the work involved clearer.

Key takeaway: SEO is the broad foundation. AEO and GEO describe focused ways of thinking about answer and generative experiences. AI visibility is the observable presence a team can monitor. Knowing which lens a metric belongs to helps avoid confusing technical readiness, optimization activity and actual appearance in AI answers.

AEO, GEO and AI visibility terminology and measurement are evolving. Definitions and platform reporting can differ; this article treats them as practical lenses rather than a universal standard.

References

  1. Google Search Central. AI Features and Your Website.
  2. Google Search Central. Optimizing your website for generative AI features on Google Search.
  3. Aggarwal, P. et al. (2024). GEO: Generative Engine Optimization. KDD 2024.
  4. Microsoft Bing Webmaster Blog. (2026). Introducing AI Performance in Bing Webmaster Tools Public Preview.