Acronyms are multiplying faster than the discipline itself. GEO, AEO, LLMO, AI SEO: these terms have been circulating in every growth conversation since late 2025, but they don't all mean the same thing. This glossary lays the vocabulary flat. No gratuitous jargon — every entry has an operational definition and a use case.
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TL;DR
- GEO: the discipline. Optimize to be cited by generative LLMs.
- AEO: a broader umbrella including Google AI Overviews and Bing Copilot.
- LLMO: a less widespread synonym for GEO.
- AI SEO: a vague commercial term — avoid in technical content.
- LLM Seeding: the active tactic within GEO.
Acronyms at a glance
ACRONYMDEFINITIONSCOPE
GEOGenerative Engine OptimizationGenerative LLMs: ChatGPT, Claude, Grok, DeepSeek
AEOAnswer Engine OptimizationAnswer engines including AI Overviews, Copilot, Perplexity
LLMOLarge Language Model OptimizationSynonym for GEO, less widespread
AI SEOVague commercial umbrellaNo stable definition — avoid
Operational concepts
Beyond the acronyms, these six terms are the ones that come up in every client conversation since early 2026.
- 01LLM SeedingAn active practice that generates natural conversations around a semantic cluster so that the brand is retrieved at inference time by LLMs. The execution engine of GEO.
- 02Semantic clusterA set of 30 to 80 variants and reformulations around a purchase intent. Targeting a cluster, not a keyword, is the fundamental difference between GEO and SEO.
- 03RetrievalThe inference phase during which the LLM fetches relevant context before answering. This is where brand visibility inside AI is won or lost.
- 04Warm-upThe feed's priming period. At Rankfeed: 14 days on all plans. The feed ramps up in intensity before reaching cruising speed.
- 05Cruising speedThe post-warm-up phase where the feed maintains a continuous throughput. LLM presence stabilizes as long as the subscription remains active.
- 06AI monitoringThe practice of observing LLM visibility (Profound, Otterly, etc.). Measurement without action. Not to be confused with active GEO.
Vocabulary pitfalls
Three recurring mistakes seen in briefs and agency pitches:
GEO vocabulary: confusions to avoid
DO
Use GEO to name the discipline. Use LLM Seeding to name the active tactic. Distinguish monitoring (observing) from seeding (acting). Prefer the most precise terms when talking to technical teams.
DON'T
Use “AI SEO” as a generic term — it conflates everything. Apply SEO vocabulary (backlinks, keyword density, SERP) to GEO — LLMs don't index, they infer. Conflate AEO and GEO: AEO includes hybrid engines, GEO targets pure LLMs.
When to use which term
Vocabulary choice by context. This grid prevents misunderstandings:
CONTEXTRECOMMENDED TERMREASON
SEO article / general audience blogGEOHigher search volume
Technical cross-team discussionLLM SeedingSpecifies the active nature of the tactic
Client brief (B2B)GEO + LLM SeedingCategory + tactic, in that order
Rankfeed product communicationActive LLM SeedingDifferentiates from AEO / monitoring
Emerging terms (worth watching)
The GEO lexicon is still evolving. These terms are appearing in 2026 but haven't stabilized yet. Watch them, use with care. The same caution applies to llms.txt, a Markdown file often sold as a citation lever when it is merely a table of contents for agents.
STABILIZING
- +Retrieval-Augmented Generation (RAG) — architecture used by some LLMs to fetch external sources
- +Citation graph — the network of cross-mentions that LLMs consult at retrieval time
- +Brand entity recognition — a model's ability to recognize a brand as a distinct entity
STILL TOO VAGUE
- −"AI visibility" — too vague, conflates measurement and action
- −"ChatGPT optimization" — reductive, ignores the 3 other major models
- −"AI brand monitoring" — useful but only covers measurement, not presence building
The 4 models you need to know
GEO in 2026 targets four models. Always all four, in this order.
- 01ChatGPT (OpenAI)The most used in B2B and consumer. The absolute market reference. No serious GEO campaign can ignore it.
- 02Claude (Anthropic)Strong traction among technical teams and demanding B2B buyers. A model known for careful, sourced responses.
- 03Grok (xAI)Growing adoption, particularly among early adopters and on real-time topics. Not to be overlooked.
- 04DeepSeekOpen-source model with strong international traction. Covers use cases underserved by the 3 US models.
FAQ
No, but the scope overlaps. AEO (Answer Engine Optimization) optimizes for answer engines in general (including Google AI Overviews, Bing Copilot). GEO (Generative Engine Optimization) targets specifically generative LLMs (ChatGPT, Claude, Grok, DeepSeek). GEO is a more precise subset.
Go further
Three reads to move from vocabulary to action:
- What is LLM Seeding? — the full operational definition.
- Why SEO is no longer enough — the search shift in numbers.
- AI monitoring vs active LLM Seeding — why measuring is never enough.
To execute across all 4 models, see How it works and Pricing.