How We Measure AI Visibility

Predicted scores tell you if AI might mention you. We run the real prompts every day and show what AI actually says — including what it gets wrong.

What do you actually measure?

Every day, Seeniq sends real, unmodified patient queries to four AI engines: ChatGPT, Perplexity, Google AI Overviews, and Gemini. We submit the same prompt from the same geography each day, capture what each engine recommends, and measure whether your practice appears. This is the data your AI Visibility Score is built on.

These are the actual search experiences a patient would have — not simulations, not estimated reach, not hypothetical rankings. We run the same queries day after day and aggregate the results over a rolling window to create a stable measure of how consistently AI assistants recommend your practice. Engine weights published on our engine-weights methodology page reflect each engine's role in that recommendation pattern. The score's blend of factors is a product decision, reviewed against published research — we make it openly so you can decide if it matters for your practice.

What do your score bands mean?

Your score tells you what tier of AI visibility your practice has, from Invisible to Established.

One honest note: at a score of 70, our research review found practices are cited across engines far more consistently. That's why the threshold matters — below 70, your main opportunity is getting found in the first place. Above 70, fixing errors in what AI says about you becomes the higher-leverage play.

How do we estimate the dollars at stake?

The "dollars at stake" metric tells you what's on the line if AI assistants skip your practice. It's an exposure estimate, not a guaranteed loss — what the opportunity is worth, not what you've lost.

Here's the math:

This isn't a prediction. It's a transparent range showing what your practice's local AI visibility could be worth, built from industry data and publicly documented conversion rates.

Why does my score move day to day?

An AI engine might mention your practice one day and not the next, even when nothing about your business or the listing data changed. The sources engines draw on overlap only about a third to 40% from day to day — the engine uses new sources, refreshes its training data, or returns results in a different order. This variance is normal for generative AI, which is why we measure daily and aggregate the results over a rolling window to show you trends, not one-off scores.

We re-check until the answer is right — when we spot a factual error in what AI says about you, we re-verify after you fix the source, so you can see the correction propagate. Our daily cadence gives you visibility into whether that fix actually changed what the engine recommends.

What do you not measure?

Seeniq monitors what ChatGPT, Perplexity, Google AI Overviews, and Gemini say about your practice in response to public queries. We don't access patient records, insurance claims, appointment data, or anything behind your practice management system. We never store PHI (protected health information). Our whole product runs on public AI responses — that's where the visibility challenge lives, and that's what we solve.

Our white-hat commitment

We improve your AI visibility with real, verifiable content — accurate listings, measured scores, published methodology. Never hidden text, no ranking tricks.

Questions?

If you have questions about how we measure or what your score means, contact us at support@getseeniq.com. We're happy to walk through your audit with you.