How a premium skincare brand went from invisible to 34 AI citations in 90 days
A European DTC skincare brand had strong Google rankings but zero presence in AI answers. We changed that in one quarter.
The problem
The brand ranked well on Google for most of its target keywords. But when potential customers asked ChatGPT, Perplexity, or Gemini for skincare recommendations, the brand was nowhere. Competitors with weaker products kept getting mentioned because they had the right citation signals. The brand's head of digital estimated they were losing 15-20% of potential customers who now start their research in AI tools instead of Google.
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What we did
Prompt research
We mapped 847 prompts that potential customers actually type into AI tools when looking for products like theirs. Not guesses. We tested each prompt across all four platforms and logged which competitors appeared, how often, and in what context.
Citation building
We built citations on 12 high-authority sources that AI platforms pull from. This included getting the brand mentioned in ingredient databases, skincare comparison resources, and expert roundups that LLMs consistently reference.
Monitoring and growth
We tracked citation changes daily across all four platforms, caught two hallucination issues early, and adjusted the strategy based on which citation sources were actually driving recommendations.
The results
Citations by platform
“We had spent two years building our Google presence. Akravo did something similar for AI in three months. The traffic from AI referrals converts better because those users already trust the recommendation.”
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