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Marketing case study · Series B Health & Wellness

How a Series B health brand went from invisible to 47 AI citations in 90 days

Competitors were getting cited in ChatGPT and Perplexity answers while this Series B health & wellness brand was invisible in the prompts that mattered to their category. We deployed the AI Mention Tracker, closed the structured-data gaps on their authority pages, and shipped the fixes — taking them from 0 to 47 AI citations in 90 days and lifting branded search 61%.

How a Series B health brand went from invisible to 47 AI citations in 90 days — anonymized visual proof
0 → 47
AI citations (90 days)
+61%
Branded-search lift
Now tracked
AI visibility

The context

A Series B health & wellness brand had a strong product and a credible content library, but its category was increasingly being decided inside AI assistants. Buyers were asking ChatGPT and Perplexity for recommendations, and the answers were naming competitors. The brand had invested in traditional SEO for years; nobody had checked whether the pages search engines liked were the same pages answer engines could actually parse and cite.

What was holding them back

When we ran the prompts that mattered to their category, the brand simply didn't appear — competitors were cited by name while they were absent from the answer entirely. The root cause was that their authority pages read well to humans but were thin to machines: missing or malformed structured data, no clear entity markup tying the brand to its expertise, and key claims buried in prose with nothing an answer engine could lift and attribute. They had no way to even see the problem — there was no measurement of AI visibility, so the gap was invisible until a prospect mentioned a competitor 'ChatGPT recommended.'

What we ran

We deployed our AI Mention Tracker to measure where the brand stood across the assistants and the category prompts that drove real demand, turning an invisible problem into a scoreboard. That surfaced exactly which authority pages were being skipped and why. We then closed the structured-data gaps — adding and correcting schema, tightening entity markup, and restructuring key claims so they were machine-extractable and clearly attributable to the brand — and shipped the fixes page by page, tracking each one's effect on citations as it went live.

The outcome

Within 90 days the brand went from 0 to 47 AI citations across the prompts we were tracking — moving from absent to consistently named in the answers buyers were reading. Branded search lifted 61% over the same window as that AI visibility fed back into how people discovered and looked them up. Just as importantly, they now have a standing measurement of AI visibility, so the category can't quietly shift around them again without it showing up on the tracker.

Anonymized and representative of the work — not a guarantee. Your results depend on your starting point.

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The 90-Day Get-Found Playbook.

The exact 12-step checklist we run with new clients to get them cited in ChatGPT, Perplexity, and Google's AI Overviews inside one quarter — including the structured-data audit, GBP fixes, and content gaps to close first.

  • 12-step audit checklist (week-by-week)
  • The 18 schema types that move the needle
  • Sample prompts to track AI citations for your category

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