GEO vs SEO vs AEO: What's the difference and what matters?

SEO, AEO and GEO: clear definitions

SEO (Search Engine Optimization) is the practice of optimising web pages so they rank highly in the classic, link-based results of search engines like Google and Bing. Its currency is rankings, impressions and clicks to your website.

AEO (Answer Engine Optimization) targets the direct answer rather than a list of links: featured snippets, 'People also ask', voice assistants and answer boxes. The goal is to be the single response the engine displays or reads out, often without a click.

GEO (Generative Engine Optimization) optimises for being named and cited inside AI-generated answers from ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews. Instead of ranking a page, you aim to be a trusted source the model synthesises into its response.

The three are layers, not rivals. AEO and GEO extend proven SEO fundamentals - crawlable, well-structured, authoritative content - toward a world where the answer increasingly appears before, or instead of, the blue links.

Goals and metrics compared

• SEO - Goal: organic traffic and visibility. Metrics: keyword rankings, impressions, click-through rate (CTR), organic sessions, backlinks.
• AEO - Goal: own the direct answer. Metrics: featured-snippet share, 'People also ask' presence, zero-click coverage, voice-answer wins.
• GEO - Goal: be cited in AI answers. Metrics: citation/mention frequency across assistants, share of voice in AI responses, referral traffic from ChatGPT, Perplexity and AI Overviews.
• Shared reality: all three depend on the same foundation - content that is accessible, accurate, well-structured and demonstrably trustworthy (E-E-A-T).

Tactics: what you actually do differently

Roughly 70 percent of the work overlaps. What counts are the differences in execution.

• Foundation (all three): fast, crawlable, mobile-friendly pages (Core Web Vitals), clean information architecture, internal linking and genuine topical authority.
• SEO-specific: keyword and intent research, title/meta optimisation, link building, content depth and freshness, technical indexing.
• AEO-specific: answer-first paragraphs, question-based headings, concise 40-60 word definitions, FAQ and HowTo schema.org markup, tables that resolve a query at a glance.
• GEO-specific: extractable, self-contained passages; explicit, consistent entity naming; verifiable citations, statistics and quotes; strong author and organisation signals; a clean llms.txt; and factual consistency across your site and third-party sources.
• Access control: decide deliberately whether to allow AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended). Blocking them in robots.txt can remove you from AI answers entirely.

When does each matter - and the verdict

SEO remains the foundation: the majority of discovery still starts in a search box, and every AEO and GEO gain is built on crawlable, authoritative pages. Abandoning SEO to 'do GEO' is a category error.

AEO matters most for question-shaped, informational and local queries where users want an immediate answer - definitions, how-tos, opening hours, comparisons.

GEO matters most for research and consideration queries, where people increasingly ask an AI assistant instead of scanning ten links. If your buyers use ChatGPT or Perplexity to shortlist providers, being uncited means being invisible.

The verdict: this is not either/or. Treat SEO as the base layer, then layer AEO and GEO on top - they share most of the work. One well-structured, answer-first, genuinely authoritative page can rank in Google, win the snippet and get cited by an LLM at the same time.

Common mistakes to avoid

• Treating GEO as a replacement for SEO instead of an extension of it.
• Chasing AI visibility while blocking AI crawlers in robots.txt, so no model can read your content.
• Keyword stuffing and vague wording instead of clear, consistently named entities that models can attribute.
• Publishing without structured data, so engines have to guess your page's meaning.
• Inconsistent facts across your website, profiles and third-party sources, which makes LLMs distrust and drop you.
• Never measuring AI referrals or citations, so you cannot tell whether GEO is working.

The Swiss perspective

For Swiss SMEs, search visibility is multilingual by default: the same entity must be clearly and consistently described in German, French and Italian for engines and AI models to connect the dots across languages.

Data protection shapes the tooling: analytics and personalisation must comply with the revised Federal Act on Data Protection (revDSG/nFADP) and EDOEB guidance - not the EU's rules by name. Prefer privacy-friendly measurement and be transparent about tracking.

A Swiss-rooted content strategy - accurate .ch entities, local references and CHF pricing where relevant - helps you earn citations in the exact context your buyers and their AI assistants care about. This is the kind of foundation the Weissmann AI Academy helps Swiss teams build.