23 of 26 posts posted on Pixis picked by up AI, 8 on first page of google (11 ranking on google)

We used Pixis Visibility to identify where Pixis could show up, create content to close those gaps, and measure the resulting visibility across search and AI engines.

What we did

1. Used visibility insights to identify content gaps and create at scale

Used Pixis Visibility to identify high-intent content gaps and create tailored content around those opportunities.

To support the volume needed, we developed repeatable content templates—including how-to guides, comparison pages, listicles and other proven formats—allowing us to move from one-off content creation to a scalable publishing engine.

2. Built an end-to-end workflow for AI visibility

For AI search specifically, Pixis Visibility helped us identify visibility gaps across prompts, define the right prompts to target, and surface content recommendations designed to improve visibility end to end.

We published 26 pieces of content, of which 24/26 are now cited by AI engines.

The content also generated traditional search visibility, with 11/26 ranking on Google, 8/26 reaching page one, and 3 reaching #1.

3. Strengthened the technical SEO foundation

Improved the site's technical and content infrastructure through schema hu implementation, internal linking, E-E-A-T guidelines, robots.txt updates, page consolidation and metadata optimization.

4. Continuously measured and optimized

Used Pixis Visibility to continuously track AI visibility, citations and competitive presence, helping us identify what was working, where gaps remained, and where to focus the next wave of content.

The dogfooding proof

The same tool we sell to marketers to measure and improve their AI visibility is the tool we used to build and measure our own.