LLM SEO: content that AI assistants quote
More of your customers ask ChatGPT, Perplexity and Google's AI Overviews before they click anything. Those answers are built from pages the AI can find, trust and quote. The crew writes those pages and publishes them to your site.
How AI answers pick their sources
Step 1
They search first
Assistants with web access run searches, read the top pages, then write their answer from what they read.
Step 2
They quote passages that answer
A paragraph that answers the question on its own is easy to lift. A vague intro is not.
Step 3
They favor specific, sourced facts
Numbers, named sources and clear definitions give the model something it can cite with confidence.
Researchers from Princeton and IIT Delhi tested this in GEO: Generative Engine Optimization (KDD 2024): adding citations, quotations and statistics to a page raised its visibility in generative engine answers by up to 40%.
What the crew does for LLM visibility
Every article is written for two readers: the person searching and the model that might quote it.
- Answer-first paragraphs
- The first two sentences of every article answer the search in a way that stands on its own when quoted.
- Facts with their sources
- Statistics and claims come from live web research, each one linked to where it came from.
- Question headings and an FAQ
- Headings and FAQ entries mirror the questions people actually type and ask.
- Depth across your topic
- Up to 50 articles a month around what you sell, so assistants keep finding your site on the subject.
- Fast discovery
- Your sitemap is resubmitted in Google Search Console and IndexNow pings Bing and other engines after every article.
- On your own domain
- Plain, crawlable pages on your site, with links to your products, not content locked inside a widget.
LLM SEO and classic SEO, side by side
| Topic | Classic SEO | LLM SEO |
|---|---|---|
| Where people ask | Google search box | ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews |
| What wins | A page that ranks in the top results | A passage the assistant can quote and cite |
| Foundations | Useful content, crawlable pages, links | The same, plus answer-first writing and sourced facts |
| How you measure it | Search Console clicks and positions | Referral visits from AI assistants, and mentions when you ask them |
The crew covers both with the same articles. See blog SEO on autopilot for the Google side.
What we don't do
No hidden text aimed at models, no fake reviews, no invented statistics and no promise of a guaranteed citation. Those tricks get pages ignored by AI engines and penalized by Google.
LLM SEO questions
What is LLM SEO?
LLM SEO is the work of making your pages easy for large language models to find, trust and quote, so assistants like ChatGPT, Perplexity and Google's AI Overviews mention your site in their answers. It is also called generative engine optimization (GEO) or AI search optimization.
Is LLM SEO different from regular SEO?
It builds on the same foundations: useful pages that search engines can crawl and index. The difference is in the writing. Assistants quote short passages, so answers have to come first, stand on their own and carry their sources.
Can you guarantee ChatGPT will mention my site?
No, and nobody honestly can. Each assistant decides what to cite for each question. What the crew controls is the part that makes citations likely: more pages that answer real questions, with sourced facts, discovered quickly by search engines.
How do I know if AI assistants send me visitors?
Look for referral visits from chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com in your analytics. You can also ask the assistants the questions your articles answer and see which sources they cite.
Do I need an llms.txt file?
It is a proposed format that lists your key pages for language models. It does no harm, but AI search engines find and rank pages through their regular web index, so the pages themselves matter far more.
Start publishing articles AI assistants can quote