Back in the wonderfully unruly 1990s, web copywriting revolved around exact-match keywords and aggressive meta tag stuffing. As search algorithms evolved, so did SEO copy. Today, with proposition-based retrieval systems, writing as if your job is to fool a crawler into detecting relevance through sheer keyword repetition simply doesn’t work anymore. Below is a playbook for generative AI-ready copywriting, organized into compact, self-contained, high-density ideas.
The ‘grounding budget’: Quality beats volume
Large language models (LLMs) aren’t hungry for more words; they’re hungry for more meaning per word. Google’s Gemini runs on a constrained pool of retrieved information, according to DEJAN AI research that examined more than 7,000 queries. This “grounding budget” is about 1,900 words per query, drawn from multiple sources. For any single webpage, your typical share is roughly 380 words. You’re vying for a very small portion of a fixed pie, so precision directly improves how well AI can match your content.
Weak retrieval: “Coffee maker” (Generic)
Strong retrieval: “Semi-automatic espresso machine” (High density)
Your customers are searching across countless surfaces. Make sure your brand appears wherever they look. The SEO toolkit you already rely on, plus the AI visibility insights you’re missing.
Start Free Trial
Get started with
Moving structure into the language
If Schema.org is the external framework of a building, then structured language is the internal load-bearing skeleton. Language itself becomes the structure we hand to machines, for example through “semantic triplets” (subject → predicate → object). When a copywriter embeds structure directly into the prose, each sentence becomes naturally machine-readable. Google’s passage ranking, AI Overviews, and third-party LLMs…