If someone types a question about your industry into ChatGPT right now, does your business come up? For most companies, the honest answer is no - and that gap is getting more expensive by the month.
800 million people use ChatGPT every week, according to Sam Altman. Google AI Overviews reaches 1.5 billion users monthly. Perplexity serves 45 million queries a month. These are not niche tools anymore - they are where your customers are increasingly looking for recommendations.
LLM SEO is the practice of optimising your digital presence so these AI systems can find your content, understand your brand, and recommend you when someone asks a relevant question. It is different from traditional SEO, and if you are relying on your Google rankings alone, you are missing a fast-growing slice of the market.
What is LLM SEO and why does it matter?
LLM SEO (also called AEO, or Answer Engine Optimisation) is the practice of making your business visible in AI-generated answers - not just traditional search results. Where classic SEO got you a link in a list of ten blue links, LLM SEO gets you cited as a trusted source inside ChatGPT or Perplexity's answer.
The distinction matters because AI answer engines do not show ten options. They typically cite two or three. If you are not one of them, you are invisible - even if you rank #1 on Google.
For a deeper look at how AEO relates to traditional SEO, Omni Eclipse's AEO vs SEO guide is a solid starting point.
How do AI search engines find and use your content?
There are two main mechanisms, and you need to optimise for both.
Training data is the foundation every large language model is built on. Before ChatGPT, Gemini, or Claude ever answers a question, they were trained on billions of web pages, articles, and documents. If your brand was well-represented in that training data - through consistent editorial coverage, directory listings, and published content - the model already has a baseline understanding of who you are.
Real-time web retrieval (RAG) is what happens when an AI searches the web live to generate a current answer. Perplexity does this for every query. ChatGPT uses it in browsing mode. Google AI Overviews use Google's own index. The model fetches your page, reads it, and decides whether to cite it in its response.
Most actionable LLM SEO work sits on the real-time retrieval side, because that is where you have direct control.
What does an AI look at when deciding who to cite?
LLMs do not cite randomly. They evaluate content on several factors:
Multi-source consensus. A Yext study of 6.8 million AI citations found that 86% of AI citations come from brand-managed sources - split between first-party websites (44%) and business listings and directories (42%). Your directory and listing presence matters more than most businesses realise.
Content structure and clarity. Research from Kevin Indig found that 44.2% of AI citations come from the first 30% of a page's content. If your key answers are buried below three paragraphs of preamble, you are losing citations to competitors who put the answer first.
Freshness. BrightEdge found that 40-60% of ChatGPT citations change monthly. ConvertMate found that 76.4% of ChatGPT citations come from content updated within the last 30 days. If you set and forget your content, you will lose citations over time.
Referring domain authority. A Higglo study of 129,000 domains found that sites with over 32,000 referring domains receive 3.5x more AI citations.
Why does entity recognition matter so much?
Entity recognition is one of the most overlooked parts of LLM SEO, and one of the most powerful.
Traditional SEO works on keywords. LLMs work on entities - they understand that your business is an organisation, what it does, where it operates, and who is associated with it. When that entity understanding is strong and consistent across the web, an LLM can recommend your brand in response to prompts it has never seen before.
Building strong entity recognition means: consistent schema markup on your website, consistent NAP (name, address, phone) across all directories, editorial mentions that reference your brand consistently, and publishing with enough topical depth to signal genuine authority.
How is LLM SEO different from traditional SEO?
The overlap is significant - roughly 80% of what works in traditional SEO still applies. But the 20% that differs is what separates businesses that appear in AI answers from those that do not.
The biggest mindset shift: you are not competing for a position. You are competing for a citation. There is no #1 ranking in ChatGPT. There is either "cited as a trusted source" or "not mentioned."
Key differences:
- LLM SEO requires Bing Webmaster Tools submission (ChatGPT and Perplexity primarily use Bing's index)
- Content structure rewards direct-answer first paragraphs and question-format headings
- Authority signals include multi-source consensus and citation portfolio depth
- Content needs monthly refreshes given 40-60% citation churn
What should a business actually do first?
- Audit your entity presence - search your brand in ChatGPT and Perplexity, check directory listings, add schema markup
- Restructure your most important content with question-format headings and direct answers upfront
- Submit to Bing Webmaster Tools - free and directly affects ChatGPT and Perplexity visibility
- Build your citation footprint through directories, editorial coverage, and offsite content
At Omni Eclipse, we run AI visibility audits that show businesses exactly where they stand across ChatGPT, Perplexity, Google AI Overviews, and Gemini. The full LLM SEO guide on our site goes deeper on each pillar.
The window to act is now
LLM SEO is still early. Businesses building AI visibility now are establishing citation patterns and entity authority that will be much harder to displace in two or three years.
Book a free AI Visibility Audit to find out where your business stands right now.
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