What questions are your ideal patients asking? we start there.
Most AI visibility tools start by pulling keywords and counting mentions. We start by asking a different question entirely: what are the specific queries your highest-value patients are using when they're ready to make a decision — and are you the answer they're getting?
Everything we do is built around that question.
How it Works
Our Methodology
Step 1 It Starts With A Conversation
Before we run a single query, we learn your business. Your highest-revenue procedures. Your competitive landscape. The patients you want more of and the ones you're losing to competitors you may not even know about.
This is the part no software can do. Understanding what actually drives revenue for your practice — not just what gets traffic — is what makes everything that follows meaningful.
Step 2We Build Your Query Library
Most tools measure visibility across thousands of generic keywords. We do the opposite.
We build a custom library of 20 to 25 high-intent conversational queries — the specific questions your patients type into ChatGPT, Gemini, and Perplexity when they're actively choosing a provider. Not symptom searches. Not informational content. The decision-stage queries that separate patients who are browsing from patients who are ready to book.
Every query is assigned three scores before we test a single one:
Intent Score — how close is the person asking this to actually booking? A patient asking "what is hypothyroidism" scores very differently than one asking "best thyroid surgeon in Tampa accepting new patients."
Revenue Score — how valuable is a patient who comes in through this query? A routine consultation scores very differently than a high-volume surgical case worth $35,000 or more in hospital revenue.
Volume Score — how many people are actually asking this? Pulled from real search data so we know which queries are worth prioritizing.
These three scores are multiplied to produce an Opportunity Score for every query — on a scale of 1 to 64. The higher the score, the more important it is to show up. This is the foundation of everything we measure.
Step 3We Test Every Query, on every platform
Once the query library is built, we run every single query across six major AI platforms — ChatGPT, Gemini, Perplexity, Copilot, Claude, and Grok.
For each query on each platform we score four things:
Are you mentioned?
How prominently — buried in a list, positively referenced, or top recommendation?
Are you cited or linked?
Who is winning the queries where you aren't?
This is manual, methodical, human work. No scraping. No sampling. Every query, every platform, scored consistently so the results are actually comparable.
Step 4We Calculate the numbers that matter
From your testing results, we calculate three scores that tell the complete story:
AI Visibility Score (AVS) — your overall presence across all platforms and all queries. The broad awareness number. How often does your name show up when it should?
Revenue-Weighted AI Visibility Score (R-AVS) — your visibility specifically on the queries that drive revenue, weighted by Opportunity Score. This is the number that predicts patient flow. A practice can have a decent AVS and a terrible R-AVS — meaning they show up on low-value queries but are invisible where it counts. The gap between AVS and R-AVS is where the insight lives.
AI Share of Voice — how you compare to your top competitors across the exact same queries. Not a general market comparison — the specific practices competing for the same patients you are.
Step 5We find your low-hanging fruit
Every analysis produces a Low-Hanging Fruit report — the specific queries where your Opportunity Score is high but your current visibility is low. These are your fastest wins. The queries with the most patients, the most revenue potential, and the clearest path to improvement.
This is the list most practices have never seen before. And it changes how you think about your marketing entirely — because instead of investing broadly and hoping, you know exactly where to focus.
Step 6We tell you exactly what to do
This is what separates Lowfruit from every tool on the market.
You don't get a dashboard to interpret. You don't get a list of best practices that could apply to anyone. You get a specific, prioritized action plan — built for your practice, your queries, and your market.
Content to create. Schema markup to implement. Authority signals to build. Citation opportunities to pursue. Platform-specific recommendations based on where your gaps are largest.
Not general advice. A roadmap. One that tells you what to do first, what to do next, and why.
Step 7We track results over time
AI search is not static. Platforms update. Competitors make moves. New queries emerge as patient behavior evolves. The practices that stay ahead are the ones actively monitoring their position — not the ones who did an audit once and hoped for the best.
Our retainer clients receive monthly score tracking, competitor monitoring, content feedback, and quarterly executive reporting. You'll always know where you stand, how you're improving, and what the next move is.
Step 8the results speak for themselves
A clear, revenue-weighted picture of exactly where you stand in AI search. The specific queries sending patients to your competitors. And an exact plan to change it — with someone in your corner every step of the way.
That's not a data point. That's strategy.
