AI Marketing

GEO, AEO, LLMO and AI SEO explained by a working strategist. What each term means, which ones are real, and what to actually do to get cited in AI answers.

Entity SEO makes your brand identifiable to Google and AI systems as one clear thing. Here is the sameAs, schema and Wikidata setup that underpins GEO and LLMO.

AI SEO and AIO get used to mean two different, unrelated things. Here is why that ambiguity costs you in a vendor contract, and what to ask instead.

LLMO means shaping how AI models describe your brand, not tuning a page. Here is the two-prompt audit method and the off-site work that actually moves it.

AEO targets one extracted answer. GEO targets citation share in a synthesised answer. Here is the real difference, a side-by-side comparison, and where the content work overlaps.

GEO explained from the actual KDD 2024 research paper it comes from: what the study tested, what moved citations, and a real before-and-after edit you can copy.

Google says it does not use llms.txt. One in ten sites ships one anyway. Here is what the file actually does, who reads it, and an honest recommendation.

AI assistants recommend brands they can verify across multiple sources. Here is how mention-building works in practice, and why it looks a lot like old-fashioned PR.

AI systems cite passages, not pages. Here is the exact definition-block format I use at the top of every section, with before and after examples.

Ranking first no longer guarantees a citation. Here is what 2026 citation studies show about how Google’s AI Overviews pick sources, and what to change on your pages.