What Is LLM SEO?
LLM SEO is the practice of optimizing your brand, product, and content so large language models like ChatGPT, Perplexity, Gemini, and Copilot cite you, recommend you, and describe you accurately when someone asks a question in your category. It is not a replacement for SEO, it is a layer built on top of it.
What does LLM SEO actually cover?
LLM SEO is not one technique. It is a set of practices aimed at three things a model does with your content.
Retrieval
Whether the model can find and correctly parse your page at the moment someone asks a question.
Citation
Whether the model quotes you, links to you, or names you when it answers.
Representation
Whether the model's understanding of who you are and what you do is accurate and complete.
How is LLM SEO different from SEO and AEO?
Traditional SEO optimizes for ranking a page in a list of links a person then clicks. LLM SEO optimizes for being the fact an AI system repeats directly in its answer, often with no click at all. Answer Engine Optimization (AEO) is a subset of LLM SEO, focused specifically on structuring content to be extracted as a direct answer. LLM SEO is broader: it covers AEO's structuring work plus everything that shapes how a model represents your brand, including your off-site citation footprint. See What Is Answer Engine Optimization (AEO)? for the deeper walkthrough.
What actually changes in practice?
Lead with a liftable definition
If a model has to infer your point from three paragraphs, it will summarize you wrong or skip you.
Question-shaped headers
Headers phrased the way a user would actually ask get matched to queries more reliably.
Build off-site presence deliberately
Category directories and comparison content are part of the optimization surface now.
State who you are not for
Models represent categories more accurately when a source draws its own boundaries.
Track citations, not just rankings
A page can rank on page one and still never get cited inside an AI answer.
Where SourceRank AI fits
We baseline where you stand across ChatGPT, Perplexity, and Gemini, close the gaps keeping you out of the answers, then track citations monthly.
Common questions
Is LLM SEO the same as AEO?
No. AEO is one part of LLM SEO, focused specifically on structuring content to be extracted as a direct answer. LLM SEO is the broader discipline covering everything that shapes how a model represents and cites your brand.
Is LLM SEO the same as GEO (Generative Engine Optimization)?
They overlap heavily and some practitioners use them interchangeably. GEO tends to emphasize being the cited source behind an AI-generated summary, while LLM SEO is used as the umbrella term covering GEO, AEO, and off-site brand work.
Does LLM SEO replace traditional SEO?
No. Technical SEO is still what gets a page crawled and indexed. LLM SEO is the layer on top that determines whether, once indexed, a model actually cites and correctly represents you.
Do I need to do anything differently for ChatGPT versus Perplexity versus Gemini?
The fundamentals, clear definitions, entity clarity, off-site citation presence, transfer across all three. Each engine has its own retrieval quirks worth tuning for individually.