Getting cited by AI: a practical GEO playbook for technical sites

Short answer: to be cited by an AI answer engine, write passages that stand on their own and prove to a machine who you are. Lead every section with the answer, name the specific entities you want to be associated with, and back the page with valid structured data. AI engines quote sources they can extract cleanly and trust quickly; GEO is the discipline of being both.

Why GEO is now separate from SEO

For years, ranking well and being a trusted source were effectively the same thing. That has changed. As AI answer engines summarize the web, the overlap between top search links and the sources those engines actually cite has fallen sharply. A page can rank and still never be quoted, because ranking rewards relevance signals while citation rewards extractability and clarity. Optimizing for one no longer guarantees the other.

Write answer-first, in self-contained sections

An AI engine builds an answer by lifting passages from sources, so make that easy:

• Lead with the conclusion. Put the direct answer in the first sentence of each section, then explain. A reader who skims and a machine that extracts both get the point immediately.
• Make sections stand alone. Each heading should pose a real question, and the text beneath it should answer that question without needing the rest of the page. Self-contained passages are the unit an engine quotes.
• Use question-shaped headings. Match how people actually ask, because that is how the question reaches the engine in the first place.

Prove the entities and the trust

Extractability gets you read; trust gets you cited.

• Name concrete entities. Specific technologies, standards, and methods tell an engine what your page is authoritatively about. Vague copy associates you with nothing.
• Ship structured data. JSON-LD describing your organization, articles, and FAQs gives engines a machine-readable model of the page, which they use to ground answers and reduce guessing. Incomplete schema earns nothing, so make it complete.
• Add a machine-readable summary. A plain-language file such as llms.txt states what you do and links your key pages, so an engine does not have to infer it.

This is the same structure behind our own build and our static-first GEO case study.

Keep it fresh

AI citations decay. Content that stops being updated loses citation priority within a couple of weeks, so revisit important pages on a schedule and let the structured data carry an honest modified date. Freshness is not a trick; it is a signal that the source is still maintained.

Takeaways

• GEO optimizes for being quoted, not just ranked, and the two have diverged.
• Lead with the answer and write self-contained, question-shaped sections.
• Name entities and ship complete JSON-LD so engines can trust and ground the page.
• Refresh important pages regularly; citations fade without it. See how we engineer for GEO.