AI Visibility

AI systems don't need a bunch of fancy tricks; they need clear content, accessible pages, and understandable signals. Here's how to make your WordPress site easier to read.

A good AI visibility audit doesn't just measure whether a brand is mentioned. It examines how systems understand it, which sources they use, and which gaps really matter.

AI Search no longer relies solely on a single keyword. Query Fan-Out reveals the sub-questions underlying a search query and explains why well-structured content clusters are becoming increasingly important.

Not all AI crawlers are the same. If you want to clearly separate visibility, training, and user-triggered requests, you need more than just a knee-jerk robots.txt block.

Listicles aren't some new GEO magic trick, but rather an old SEO trick with a new twist: In AI Search, a self-promoting list can actually help the competition.

Structured data isn't a magic solution for weak content. However, it helps connect brands, authors, products, and sources in a way that reduces the need for machines to guess.

llms.txt can provide AI systems with a machine-readable table of contents. It is not a ranking factor for Google Search. However, it can still be useful for agents and documentation.

AI Visibility shows whether and how your brand appears in AI response systems and Google AI Search: accurately, visibly, citably, and comparably.