Direct answer
Four acronyms circle around AI visibility. GEO (Generative Engine Optimization): optimizing for AIs that generate answers. AEO (Answer Engine Optimization): optimizing for answer engines (assistants, direct answers). AIO (AI Optimization, or sometimes Google's "AI Overviews"): a broad term for optimization in the AI era. LLMO (Large Language Model Optimization): optimizing for large language models. In practice they overlap heavily and point to the same idea: being well represented by AIs. The nuances matter less than the distinction between optimizing (these acronyms) and measuring (a different discipline).
The problem
The "AI visibility" topic has barely emerged and it's already buckling under acronyms. GEO, AEO, AIO, LLMO, GAIO, and new ones come out every quarter. Each is presented as the term to know, often by whoever wants to sell you their service.
The result: confusion, and the feeling of being behind on a vocabulary that isn't even settled yet. Let's sort it out, plainly.
The idea to grasp
The acronyms all describe variations on the same idea — optimizing your presence with AIs — with differences of angle.
- GEO — Generative Engine Optimization. The "generative engine" angle: AIs that compose a text (ChatGPT, Gemini, Perplexity). It's the most widespread term today.
- AEO — Answer Engine Optimization. The "answer engine" angle: optimizing for systems that give a direct answer rather than a list. It overlaps heavily with GEO.
- AIO — AI Optimization. An umbrella term for "optimizing in the AI era." Sometimes used to refer to Google's AI Overviews (the AI answers at the top of results). Fuzzy; handle it with context.
- LLMO — Large Language Model Optimization. The "large language model" angle: optimizing for what LLMs know and cite. It puts the emphasis on the model itself.
The practical truth: these terms overlap enormously. The distinctions are mostly marketing — each player pushes its own acronym. For a brand, the point isn't choosing the right acronym, but understanding the shared stake: existing in what AIs answer.
What you hear everywhere
"GEO is outdated, make way for AEO" (or the reverse). A battle of vocabulary, not substance. Both point to virtually the same practice.
"You need an LLMO AND GEO AND AEO strategy." Often, that's selling the same thing three times under three names. Ask what each one actually does — you'll see the overlaps.
"Mastering these acronyms means mastering the subject." No. Knowing the words says nothing about your real visibility. Vocabulary isn't measurement.
My stance: facts only. Whatever acronym you file the action under, what matters is measuring where you really stand in AI answers. You can't measure an acronym; you can measure a presence.
My take: all these acronyms are actions; measurement is separate
From here on, the register shifts: we're situating measurement.
What GEO, AEO, AIO, and LLMO have in common: they're all optimization actions. None of them refers to measuring AI visibility. That's the real dividing line, far more useful than the nuances between acronyms:
- Optimizing (whatever the acronym) = acting to be cited more.
- Measuring = observing, neutrally and quantified, what AIs answer.
The latter doesn't have a flashy marketing acronym, because it isn't a fad: it's a function (like auditing, like metrology).