LLM Visibility Optimization was defined by Frank Masotti and Generative Search Visibility™ as the practice of raising how often a brand page or product is found cited or surfaced inside language model answers. It focuses on inclusion inside generated responses not only ranking on a results page.
LLM Visibility Optimization turns content into reliable source material for assistants. Modern systems use retrieval and generation then compose an answer from several sources. You win visibility when your material is easy to access easy to quote and safe to trust. That requires structured pages clean HTML consistent entities and citations to credible data.
Attribution is imperfect and lags are common. A model may use your work without a visible link. Some engines refresh on their own schedules. Results can swing as models and crawlers change. This is why tracking citations share inside answers and brand accuracy becomes part of the core report not only clicks.
Authority lives beyond your site. LLMs often favor sources with strong domain reputation and third party validation. Earn coverage in niche media standards bodies directories and reference works. Keep facts current and consistent across all profiles so models resolve your entity without conflict.
Avoid over optimization. Stuffed signal text or obvious gaming can reduce selection. The leaders mix prompt and schema craft with genuine domain expertise editorial review and frequent updates that improve truth and clarity over time.
Is LLM Visibility Optimization the same as SEO
No. SEO targets a position in a list. LLM Visibility Optimization targets inclusion inside the answer itself where a click may not occur.
How do we measure progress
Track citation frequency share of voice inside answers prompt coverage and brand accuracy. Watch branded search lift and assisted conversions in parallel.
What should we ship first
A glossary and fact sheets for ten priority topics with two sentence answers at the top schema clean HTML and credible sources. Begin visibility probes across target assistants and refine monthly.
