Case study · Healthcare tech
How NPHub grew LLM traffic 380% in 30 days
By implementing foundational generative engine optimization (GEO) fixes, NPHub drove a 380% increase in weekly LLM referral traffic and raised its AI Visibility Score by 44% in the first 30 days.
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+380%
LLM traffic to site
5 → 24 weekly sessions
Source: Google Analytics
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+76
GEO Score
230 → 306
Source: Parsnipp
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+44%
AI Visibility Score
34.7% → 50%
Source: Parsnipp
-
+378
Brand citations in LLMs
540 → 918
Source: Parsnipp
Key takeaways
- NPHub matches nurse practitioner students with vetted preceptors for clinical rotations.
- It implemented the first 6 of 33 Parsnipp GEO recommendations in its first 30 days.
- Weekly LLM referral sessions rose from 5 to 24, measured in NPHub’s own Google Analytics.
- AI Visibility Score rose from 34.7% to 50%, and brand citations in LLMs from 540 to 918.
01 · The business
NPHub is investing in GEO with Parsnipp
NPHub’s buyers, NP students and university program directors, had started asking ChatGPT, Claude and Gemini to find clinical rotations, vetted preceptors and placement services. When an LLM recommends someone else, that demand is invisible, and a competitor picks it up.
Securing a clinical placement is a high-stakes race against graduation deadlines and preceptor shortages. As those buyers shift from search engines to AI assistants, being the recommended brand drives revenue. So NPHub partnered with Parsnipp to measure where it stood in AI search and start closing the gap.
02 · The audit
It starts with a baseline
Getting started meant setting up NPHub’s AI Visibility Report and capturing a baseline before acting on any recommendations: where NPHub ranked, its AI Visibility Score, how it compared to competitors, and what the major LLMs said about it.
Only 36.9% of the citations LLMs used in NPHub's space mentioned the brand at all.
03 · Implementation
Turning recommendations into action
Using Parsnipp’s recommendation engine, NPHub started with the highest-impact, GEO-specific optimizations first: a custom checklist built for its brand, not a generic SEO playbook.
- AI Visibility Report live, with a baseline across ChatGPT, Claude and Gemini
- Deep-dive audit of brand, competitor and prompt-level visibility
- First 6 of 33 recommendations resolved, starting with foundational site optimizations
- Independent traffic validation set up in NPHub’s Google Analytics
6 of 33
recommendations implemented
The foundation is in. Most of the runway is still ahead.
04 · Results
Almost immediate impact in 30 days
Scores climbed across the Parsnipp dashboard. Just as important, traffic to NPHub’s website from LLMs spiked, measured independently in Google Analytics.
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LLM traffic to site
Source: Google Analytics
+380%
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GEO Score
Source: Parsnipp
+76
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AI Visibility Score
Source: Parsnipp
+44%
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Brand citations in LLMs
Source: Parsnipp
+378
Three of these metrics are Parsnipp-native. Traffic is measured independently in NPHub's own Google Analytics, so when our scores rise and their traffic follows, the gain is real.
Parsnipp didn't just give us a generic audit. They gave us deep visibility across brand, competitors, and prompts, then provided an actionable, high-impact checklist built specifically for NPHub's audience. Seeing our weekly LLM traffic increase nearly 5x in just 30 days proves that when you combine the right GEO insights with fast implementation, the payoff is immediate.
05 · The road ahead
This is just the beginning
Parsnipp will keep analyzing NPHub as it implements more of its custom GEO program. The gains so far came mainly from strengthening NPHub’s own website, and only 6 of 33 recommendations are live.
Recommendations across PR, social, content marketing and review sites haven’t been prioritized yet. NPHub is also looking at ChatGPT ads and content for its GEO content-gap recommendations.
Next steps
- Remaining 27 recommendations in the custom GEO roadmap
- Content-gap recs, starting with citations NPHub isn't competing for today
- Trust and review-focused content to lift brand-citation share
- PR, social and review-site recommendations
FAQs
Questions about the NPHub results
How fast can GEO changes affect LLM traffic?
It can be fast. NPHub’s weekly LLM referral sessions began climbing right after its first fixes went live and grew from 5 to 24 within 30 days.
What is an AI Visibility Score?
It’s Parsnipp’s measure of how often and how prominently AI engines mention your brand across the prompts that matter to your buyers. NPHub’s rose from 34.7% to 50% in its first 30 days.
Which recommendations did NPHub implement first?
NPHub started with the highest-impact foundational site optimizations from its custom Parsnipp checklist. It resolved 6 of 33 recommendations in the first 30 days, with PR, social and review-site work still ahead.
How was NPHub's traffic increase verified?
LLM referral sessions from ChatGPT, Claude and Gemini were measured in NPHub’s own Google Analytics, independent of Parsnipp’s scores.
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