Search engine optimization
Optimizes a page to rank in a list of blue links. The win is a click through to your site.
Your buyers ask AI before they ask Google. GEO is how you become the answer it gives.
◆ The definition
Generative engine optimization is the practice of structuring your content and your wider presence so AI assistants cite you when they write an answer. More and more B2B research now starts inside ChatGPT, Perplexity, and AI overviews, where the buyer reads a synthesized answer instead of scrolling a page of links.
The shift is real. Gartner has projected that traditional search volume will fall roughly 25 percent by 2026 as buyers move to AI assistants and agents (Gartner). Google now composes answers directly at the top of results with AI Overviews (Google), and the term itself comes from research showing those AI answers can be measurably shifted by how content is written and structured (Aggarwal et al.).
That moves the goal. The job is no longer only to rank. It is to be the brand the model trusts enough to quote. GEO is how you earn that, and it is the discipline I have spent a decade building into B2B content engines.
◆ The three layers
Optimizes a page to rank in a list of blue links. The win is a click through to your site.
Optimizes a passage to be the direct answer in a featured snippet or voice result. The win is the answer box, even without a click.
Optimizes your whole entity so AI assistants cite you when they write the answer. The win is being the source the model trusts.
They stack rather than replace each other. The same authority and clarity that help you rank also help you get cited.
◆ How to do it
Clean structured data, one clearly defined entity, and an llms.txt that tells AI systems who you are and what you know. The signal has to be legible before it can be trusted.
State claims plainly, lead with first-party insight, and structure each page so a model can lift a clean, correct answer. Depth and clarity beat keyword density.
Models cross-check. Your name, your offer, and your facts should match across your site, your profiles, and anywhere you are mentioned, or the model hedges.
Being referenced by sources the model already trusts raises the odds it reaches for you. Third-party validation is becoming a discovery channel of its own.
This site runs the playbook it describes. Every page is wired into one connected schema graph, with the Person and Organization cross-linked by ID so an engine reads a single, consistent entity. There is a public llms.txt and a full reference for AI crawlers, both generated from the content so they never drift. Guides and playbooks carry answer-first summaries and HowTo markup written to be lifted cleanly. It is the same discipline that goes into the AI content engine and the way a marketing engineer treats discoverability as a system.
◆ Go deeper
Making your point of view legible to a machine is the first step to being cited by one.
Read articleCitable content is accurate content. The review gate is what earns the trust.
Read articleThe operator who treats discoverability as a system, not a checklist.
Read articleShipping the structured data, feeds, and machine-readable signals AI engines read.
Read articlePart of the JAC guides.
◆ Common questions
GEO is the practice of structuring your content and your wider presence so generative AI assistants cite you when they answer a question. It works at the level of your brand as an entity, not just a single page, so the model treats you as a trusted source.
SEO competes for a ranking in a list of links and wins a click. GEO competes to be the source an AI assistant quotes when it writes the answer directly. They share signals like authority and clarity, but the outcome is a citation, not a click.
AEO optimizes a specific passage to become a direct answer, like a featured snippet or a voice result. GEO is broader. It optimizes your whole entity, your structured data, and your presence across the web so generative models recognize and reference you.
Be genuinely useful, make your expertise machine-readable with clean structured data, state claims clearly with first-party insight, keep facts consistent across the web, and earn mentions from credible sources. AI engines reward depth and clarity, not keyword density.
Content Creation builds the content and the signals that get a brand found by people and by AI.