SEO × AEO × GEO: Building AI Search Visibility

TL;DR

Use SEO for crawl, comprehension, and eligibility; AEO so answers are extractable and cite-worthy; GEO so generative engines can understand, trust, and cite your content—without tricks. Google confirms that strong SEO practices still apply to AI-driven features.

AI features in search are changing how people discover information. Instead of clicking through multiple pages, leaders and decision-makers increasingly rely on summarised results generated directly in the search interface. This shift makes it essential to think beyond classic Search Engine Optimisation (SEO). Answer Engine Optimisation (AEO) ensures your content is easily extractable and verifiable, while Generative Engine Optimisation (GEO) focuses on clarity, evidence, and citations so AI-generated responses reference your brand. The opportunity lies in combining all three approaches into a responsible and ethical hybrid.

Why Do Leaders Need To Care About SEO, AEO, And GEO Together?

AI summaries appear before clicks but still rely heavily on the open web. Google has stressed the importance of publishing unique, non-commodity content that stands apart from generic material. Research on Generative Engine Optimisation shows that evidence-rich, unambiguous content is more likely to be cited in generative answers. Leaders should therefore see GEO not as a replacement but as a complementary layer to SEO and AEO experimentation.

What Exactly Do SEO, AEO, And GEO Cover?

• SEO (Search Engine Optimisation): Crawlable links, clear information architecture, optimised titles and meta descriptions, strong performance, and people-first writing.
• AEO (Answer Engine Optimisation): Content structured as clear question-and-answer blocks, with comparisons, definitions, and properly aligned structured data such as JSON-LD.
• GEO (Generative Engine Optimisation): Answer-first clarity, numbers supported by sources, quotable statements, tables or checklists, clear disambiguation using attributes such as sameAs, and freshness indicators.

How Can Organisations Practically Apply This Hybrid Approach?

• Start With Clarity And Structure: Open pages with a TL;DR section, use descriptive headings, and provide at least two quantified facts with citations. This makes your content scannable, credible, and ready to be referenced.
• Implement Strong Schema Markup: Add Organisation, Service, and FAQ schema in JSON-LD format. Ensure the structured data is consistent with visible text to maintain credibility and alignment with search engines.
• Strengthen Authoritative Connections: Use sameAs attributes to connect your content to verified organisational and leadership profiles. Internal links should also use descriptive anchor text that makes sense in context.
• Maintain Freshness: Display “Last updated” on your pages and update your sitemap with an accurate lastmod value. These signals reassure both human readers and AI systems that your content is current.
• Stay Ethical: Avoid manipulative practices like prompt injection, keyword stuffing, or scaled thin content. Google’s spam policies clearly mark such tactics as harmful to both visibility and trust.

Show & Tell

Search engines emphasise that “best practices for SEO remain relevant” even as AI features expand (Google for Developers). The same GEO research shows that evidence-backed clarity and proper disambiguation can influence how often your content appears in generative responses. Industry explainers from outlets such as Search Engine Land and coverage in The Wall Street Journal highlight how AI-driven search is reshaping user journeys. Together, these examples show leaders why GEO should be treated as a strategic experiment layered onto strong SEO and AEO foundations.

Takeaway

SEO, AEO, and GEO are not competing strategies but complementary layers. SEO ensures your content is discoverable and credible; AEO makes it easy for AI features to extract and cite; GEO strengthens visibility in generative responses. Leaders should focus on clarity, evidence, and trust rather than shortcuts. Ethical implementation will help organisations build sustainable visibility in an AI-driven search world.

Micro-Glossary

• FAQ Schema: A type of structured data markup that signals frequently asked questions and answers to search engines, making content eligible for rich results.
• JSON-LD (JavaScript Object Notation for Linked Data): A lightweight format for structuring data so search engines can better understand and index website content.