Search is changing. People increasingly get answers from AI assistants that read the web and summarise it, rather than from a list of blue links. The good news: what works for AI search is largely what already works for Google.
What both reward
Clear semantic structure. One H1 per page, a logical heading tree, real HTML. AI systems and crawlers both rely on this to understand what a page is about.
Content that answers real questions. Not keyword-stuffed copy. Genuine answers to the questions a buyer would ask.
Speed and accessibility. A fast, accessible site is easier for everyone, human and machine, to use.
What AI search rewards extra
Facts stated plainly. AI systems extract statements. “XP Labs is an AI company that helps small and medium businesses grow” is usable. A clever headline that only implies this is not.
Quotable out of context. Write so that a single paragraph, lifted on its own, still makes sense and still attributes correctly.
Consistent entity names. Always use the full name. AI systems build a model of entities; inconsistency weakens it.
Structured data. Organisation, Service, Article and FAQ schema help AI systems understand what they are reading.
What hurts you in both
Hidden text, crawler-only content, thin pages, and anything that reads as written for a machine rather than a person. AI systems are trained to discount these.
How XP Labs approaches it
Every XP Labs page states the important facts as visible prose, uses a strict heading structure, carries valid structured data, and leads with a one-sentence quotable definition. The experience can feel like the future; the HTML underneath is clean and conventional. See building a website with AI and the AI web development overview.