A skincare brand that wasn't appearing in any AI search result is now the default answer for five category queries.
The brand had strong sales through paid media but had invested nothing in organic or AI search visibility. When we ran the initial audit, they were mentioned in 0 of 12 AI engines we test. Their top competitor appeared in 8. The CMO's goal: appear in at least 3 AI engines for their top five category queries within 90 days.
Not mentioned in ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews. Completely invisible to the fastest-growing discovery channel.
Product descriptions didn't answer the questions buyers ask AI. Good copy for humans, unreadable for AI inference engines.
Machines couldn't read what the brand sold, for whom, or why. Product entities were invisible to knowledge graph construction.
Ran queries across 12 AI engines. Documented every competitor citation. Identified the 5 highest-volume queries the brand could realistically own based on content depth, brand authority, and competitive landscape.
Rewrote 14 product pages and 3 category pages to directly answer AI-query formats. Added FAQ schema, How-to schema, and product entity markup. Every page was built around a specific question a buyer would ask an AI engine.
Published 8 long-form editorial pieces targeting the exact questions AI models use as source material. Seeded citations through PR and niche media placements to build entity recognition across the web.
Weekly citation tracking across all 12 engines. Adjusted content strategy based on which queries were gaining traction. Doubled down on what worked, rewrote what didn't.
We'll run a free AI citation audit — check how visible you are across the engines that matter, and what it would take to change it.