AI SEO
AI SEO is an industry-popular term for the practice of optimising content to be cited by AI assistants — essentially a synonym for AEO and GEO, but framed as an extension of traditional SEO rather than a separate discipline.
Why it matters
If you already have an SEO function, the AI SEO framing helps slot the work into existing workflows. The risk is treating it as 'SEO with extra steps' when several mechanics (extractability, primary-source citation, no keyword stuffing) actively diverge from classical SEO.
What it covers
AI SEO covers the same surface area as AEO and GEO: making content discoverable, extractable, and cited by AI engines. The framing emphasises continuity with traditional search engine optimisation rather than treating AI search as a separate channel.
Where it overlaps with classical SEO
- Authority and trust signals — domain reputation, backlinks, and E-E-A-T still matter.
- Freshness — recently updated content is favoured by both classical and AI engines.
- Structured data — schema markup helps both Google and AI engines parse pages.
Where it diverges
- Extractability beats ranking — AI answer engines synthesise from multiple sources, so a clearly-extractable passage on page two can beat a thin page-one result.
- Citations and statistics dominate — visible primary-source citations move the needle more than keyword density.
- Keyword stuffing hurts — Princeton GEO research showed it reduces AI visibility. The opposite of classical SEO.
Recommendation
Pick one term for your team — AEO, GEO, AI SEO, or LLMO — and stick with it internally. Use whichever the rest of your stakeholders already use.
Related terms
