What Is GEO? Generative Engine Optimization Explained

Generative engine optimization — GEO — is the practice of making a brand legible, citable and accurate in answers produced by AI systems. Not ranking a page in a list of ten blue links, but appearing inside a synthesised answer that may never produce a click at all.

Why it's different from classic SEO

• The unit of competition is a claim, not a page. Models assemble answers from many sources.
• Consistency across the web matters more than on-page keyword placement.
• Being quoted by sources the model trusts can matter more than your own site's ranking.
• There is no reliable rank to track, so measurement shifts to citation presence and brand mention share.

The work itself

1. Entity clarity: make it unambiguous who you are, what you sell, where you operate and what you're comparable to. Consistent naming, descriptions and structured data across your site, profiles and directories.
2. Extractable content: direct answers near the top of the page, clean headings, specific numbers, plain definitions. Content a model can lift a sentence from without distorting it.
3. Third-party corroboration: reviews, directories, press, comparison sites, industry lists. Models weight agreement across independent sources.
4. Coverage of real questions: the comparison, pricing, alternative and 'is it worth it' questions people actually ask, answered honestly.

How to measure it

Track a fixed set of category prompts monthly across the assistants your customers use. Record whether you're mentioned, how you're described, and whether the description is accurate. Pair that with branded search volume and direct traffic, which tend to move when AI visibility improves.

The underlying discipline is old: be genuinely clear about what you do, be corroborated by others, and be easy to quote correctly. GEO is that discipline, aimed at a new reader.