Create citation-worthy content—and reject the myths

Build assets worth referencing

Strong candidates include original research with transparent methods, free tools that complete a real task, definitive product documentation, versioned benchmarks, public datasets, expert frameworks, calculators, templates, and unusually clear explanations of difficult decisions. Keep them current and easy to link directly.

Citation-worthiness is not a formatting trick. It combines relevance, clarity, evidence, distinctiveness, accessibility, and trust. A concise answer can help retrieval, but it should sit inside a page that supplies method, context, exceptions, and next steps.

Reject unsupported shortcuts

There is no general requirement for special “AI schema,” an llms.txt file, machine-only wording, or a separate AI version of every page. Do not chase fake author biographies, keyword-stuffed answer blocks, paid mentions, synthetic consensus, or mass rewrites that remove expertise. Google says the same SEO fundamentals apply to its AI features and warns against scaled abuse and inauthentic value.

Academic GEO experiments are useful research, not universal production guarantees. The original paper reported visibility improvements in a controlled benchmark. A later critical survey describes substantial open questions around measurement, platform variation, causal inference, and downstream business effects. Present both the result and its boundary.

Build a defensible asset brief

Define the user problem, why your company can answer it, data or expertise available, method, update cadence, review owner, target audiences, distribution plan, and product connection. Decide what would make the asset no longer reliable and how you will signal that.

The best AI-visibility program looks remarkably like excellent publishing: create trustworthy things people want to use and reference, make them technically accessible, and measure without pretending certainty.