Visibility
Did AI recommend your practice?
When I ask a patient question, does the AI service mention your practice, recommend it, or leave it out? I record which service I tested and when.
AI visibility & accuracy
Being found by AI and being described correctly are different problems.
When a patient asks Google or AI for an eye doctor, the answer should be built on facts you’ve confirmed. GSA organizes and verifies the facts about your doctors, services, insurance and location, and checks how AI describes your practice.
I build each website with pages that answer real patient questions, structured data that spells out who the practice is, listings that match, and regular checks of what AI says. The goal is to help patients find your practice and understand why it may be right for them.
A practice can appear in an AI answer and still be described incorrectly. It can also have a correct website and still be omitted, summarized from stale information, or represented differently across systems.
What GSA doesI verify your practice facts with you, keep your website and the public profiles I can update clear and current, and give search and AI services time to pick up the changes. Then I ask the same patient questions again to see whether the answers changed.
A real example
Park Slope Eye showed why visibility alone is not enough.
Park Slope Eye already had strong visibility on Google. Yet on launch evening, when I asked Gemini patient questions, it described the practice’s VSP and EyeMed participation incorrectly.
What I check
Visibility asks whether AI mentions your practice. Accuracy asks whether what it says is right.
Both matter when a patient asks AI whom to call, whether a plan is accepted, which services you offer, or what to expect before booking.
Accuracy
Were the important facts right?
Doctors, location, services, hours, vision plans, insurance, policies and how to book can matter more than just being mentioned.
Consistency
Do patients get consistent answers?
One good answer does not mean the practice will always be recommended or described correctly. Repeating the same questions can reveal outdated or conflicting answers.
Start with the practice
First, we confirm your facts. Then I can spot when AI gets them wrong.
I keep a record of the facts you’ve confirmed, the ones patients need before choosing care, and check what AI says against it.
- Identity
- Practice name, providers and current roles.
- Location
- Address, hours, contact details and accessibility.
- Care
- Services, technology, and what the practice does and doesn’t treat.
- Coverage
- Vision plans and insurance, including the fine print patients ask about.
- Actions
- Booking, forms, contact-lens reorders and directions.
When something is wrong
Correcting the source is not the same as correcting the AI answer.
I check three things separately: what I corrected, whether search services picked up the change, and what AI now tells patients.
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1Correct the facts
Fix what the practice controls.
I correct wrong, outdated or conflicting information on the practice website and other sources the practice is allowed to update.
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2Check for the update
Check whether search services picked up the change.
Publishing a correction does not mean every service has seen it. Where I can check, I look for the updated information instead of assuming it has reached every system.
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3Check the AI answer
Retest the same question.
After allowing time for the update, I ask the same question in the same AI service, save the new answer and compare it with the original. A better answer today doesn’t guarantee every future answer.
Evidence before folklore
“AI-ready” should mean more than adding whatever tactic is fashionable this month.
Google, ChatGPT and other services do not all work the same way. I start with each company’s own published guidance, like Google’s guide to AI features and your website ↗ (opens in a new tab). When it does not explain something important, I test what happens and state what I still do not know.
Showing up on Google, AI reading your website to answer a patient, and AI companies training their models are three different things. A tactic aimed at one may not help the others.
No single file, piece of structured data, website setting or other technical change can guarantee how an AI system ranks, cites, recommends or describes your practice.
Questions for any vendor
If someone says your website is “AI-ready,” ask what they can actually prove.
Ask which services and patient questions were tested, what was found, and whether the vendor can show you the original answers and the results after any changes.
- 01
What exactly are you testing?
Which AI/search products, which patient questions, which dates, and under what test conditions?
- 02
Which practice facts are you checking against?
How do you know the provider, service, insurance, hours or policy fact you are judging is actually current?
- 03
What happens when an answer is wrong?
Do you look for outdated or conflicting information, correct what you can update, and ask the same question again to check the result?
- 04
Did the answer change, or just the website?
Can you show the website correction, whether search services picked it up, and what AI tells patients now? Those are separate checks.
- 05
Which claims come from Google or the AI company itself?
Ask what the AI or search company itself says, what the vendor has tested, and what is still only an assumption.
- 06
What do you refuse to promise?
No credible vendor can guarantee a top position, every AI recommendation, or how many appointments or how much revenue the work will produce.
I hold GSA to the same six questions. I repeat the same planned tests, keep the evidence, and your Practice Pulse report shows what I found, what matters, and what I’m doing about it.
Two ways to start
Let GSA handle how patients find you. You keep running the practice.
Your part takes a few hours. I do the research, writing, building and monthly care, just as I do for my own practice.
Founding Practice offer
$500 one-time + $149/month for 12 months.
I was paying about $1,000 a month before I built this.
- Love GSA or your money back. If you don’t love GSA, cancel in writing within 30 days of signing. I’ll refund your $500 setup fee and every $149 monthly payment in full. No remaining payments on your initial term.
- A 12-month initial term. After that, no lock-in, and your practice-specific website is yours to keep.
- Your $149/month rate is locked for your first 3 years while you stay enrolled.
- Only 2 founding places remain.
Not sure yet?
Free AI Snapshot
- I’ll find out what AI tells patients about your practice.
- Free, with no follow-up call.
Justin Bazan, OD · Optometrist and practice owner.
You work directly with me. Questions first? Email me