What is the core difference between SEO, AEO, and GEO?
SEO optimizes for blue-link rankings, AEO optimizes for direct answer extraction, and GEO optimizes for being cited in AI-generated responses.
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Most teams should treat these as layers, not replacements. SEO still builds the foundation, AEO improves extraction quality, and GEO increases your chance of being cited by AI engines.
| Dimension | SEO | AEO | GEO |
|---|---|---|---|
| Primary surface | Search result rankings | Featured snippets and instant answers | AI-generated summaries and citations |
| Content shape | Keyword intent + page depth | Direct question/answer blocks | Evidence-backed claims with clear context |
| Success metric | Organic clicks and conversions | Answer box visibility | Citation frequency and assisted conversions |
Start by fixing crawlability, titles, headings, and internal linking. Then add explicit answer blocks for high-intent questions. Finally, write with citation quality in mind: include concrete claims, brief evidence, and clear context.
For most early-stage products, 70% of effort still belongs to SEO fundamentals. AEO and GEO compound that investment; they rarely replace it.
Week 1: publish one intent-first page targeting a specific job-to-be-done keyword, and tighten title/H1/meta for that query.
Week 2: add a Q&A block with 4-6 direct answers from real customer calls; keep each answer under 80 words so extraction is clean.
Week 3: add evidence lines next to claims (for example, implementation time range, pricing boundaries, or onboarding constraints).
Week 4: run AI Visibility in Mark for those prompts. Use the citation sprint — ship an extractable page for the worst lost question (Preview flags question title, author, last-updated, and source links), then measure citation rank again.
SEO optimizes for blue-link rankings, AEO optimizes for direct answer extraction, and GEO optimizes for being cited in AI-generated responses.
Small teams should start with SEO fundamentals, then layer AEO formatting on top, and add GEO evidence-driven writing patterns as content matures.
In Mark, AI Visibility tracks cited vs lost buyer questions, citation rank, and silent vs referenced mentions. Ship an extractable page for the worst lost question (citation sprint), then measure again. Also watch referral quality from AI assistants.
Use Mark to move from ideas to publishable strategy and content in one workflow.