What Buyer Questions Should I Test to See if AI Recommends My Pain-Management Clinic?

What question groups should the test cover?

Adjust the mix to your services. A clinic focused on interventional procedures should weight treatment questions more heavily; one focused on multidisciplinary care, condition questions.

What questions should you ask? A starter bank

Replace [city] or [area] with your locations. Use the words patients use, not clinical shorthand.

Local shortlist - "Best pain management clinic in [city]?" - "Pain management doctors near [area] with good reviews?" - "Where can I get help for chronic pain in [city] without opioids?"

Conditions - "Who treats chronic lower back pain in [city]?" - "Where to get treatment for sciatica that isn't getting better?" - "Specialist for neuropathy pain in my feet near [area]?" - "Pain clinic for arthritis knee pain when surgery isn't an option?" - "Who treats chronic migraines in [city]?" - "Help for pain after back surgery that didn't work?"

Treatments and procedures - "Where can I get an epidural steroid injection in [city]?" - "Who does radiofrequency ablation for back pain near me?" - "Spinal cord stimulator trial in [city]?" - "Nerve block for chronic pain near [area]?" - "Clinics offering physical therapy and pain management together in [city]?"

Insurance, cost and access - "Pain management clinic that accepts Medicare in [city]?" - "Pain doctor that takes [insurer] near me?" - "Pain clinic for workers' compensation injuries in [city]?" - "Pain management after a car accident in [city]?" - "Do I need a referral to see a pain management doctor?" - "How long is the wait for a pain clinic appointment in [city]?" - "Pain management telehealth appointments in [state]?"

Comparisons and choosing - "Pain management doctor or orthopaedic surgeon for back pain?" - "Pain management or chiropractor for neck pain?" - "What should I look for in a pain management doctor?" - "Board-certified pain medicine specialists in [city]?"

Your clinic - "What does [clinic name] treat?" - "Is [clinic name] in [city] any good?" - "Does [clinic name] accept [insurer]?"

Where US-specific terms such as Medicare or workers' compensation do not apply, use your market's equivalents, such as NHS referral routes or private insurers.

How should you run the test?

1. Choose the engines patients use: Google's AI Overviews and AI Mode, ChatGPT, Gemini and Perplexity, plus Siri and Apple Maps for phone users.
2. State the location in each question, or test from devices in your area for "near me" questions.
3. Run each question three times per engine, in fresh sessions.
4. Record every clinic or provider named, whether you appear, how you are described, and the sources cited.
5. Check accuracy: insurance accepted, treatments offered, locations, hours, physicians named.
6. Repeat monthly with the same questions.

What sources do AI answers cite for pain care?

Typical sources include:

• Google Business Profiles and reviews for local questions in Google's AI features;
• physician directories and review sites, such as Healthgrades, Zocdoc and Vitals in the US;
• hospital and health system pages listing affiliated pain specialists;
• insurer provider directories for insurance questions;
• health information publishers for condition and treatment explanations;
• clinic websites with clear service and condition pages.

Recording which of these appear for each question shows where you need to be present or accurate. How healthcare providers audit AI visibility step by step is covered in how healthcare providers audit AI search visibility.

How does health-topic caution affect the results?

Health is a high-stakes topic, and AI engines are more careful with it:

• Answers often begin with general advice, such as seeing a doctor or considering physical therapy, before naming any provider.
• Engines may recommend types of specialist rather than specific clinics.
• They lean on authoritative sources: health systems, physician directories and reputable health publishers.
• Claims about outcomes are treated cautiously.

So treat a mention in a condition or treatment answer as a strong signal. Absence from broad questions does not necessarily mean you are doing badly. Being accurately described for insurance and procedure questions is often where clinics can win most quickly.

What should you fix if you are not recommended?

1. Publish condition and treatment pages that explain who each treatment is for, what to expect and how to book, reviewed by a named physician.
2. State insurance and access details plainly: plans accepted, referral requirements, telehealth, typical waits.
3. Keep physician profiles current on directories and health system sites, with board certifications.
4. Complete Business Profiles for each location, including services and hours.
5. Ask every patient, whatever the outcome, for an honest review in their own words, following your regulator's and privacy rules. Never confirm that someone is a patient when replying to a review, and never use patient stories without the required authorisation.
6. Correct wrong information at its source.

The wider approach for health providers is set out in how healthcare and other YMYL businesses can improve AI visibility.

What do people ask about testing AI for a pain clinic?

Should we test questions about opioids?

Include questions patients ask, such as non-opioid options, but expect cautious, general answers. Focus measurement on questions where naming a clinic is appropriate.

How many locations should we test?

Test each location separately with its own area names, since local answers differ.

Should referrers' questions be included?

Yes. Add questions a GP or physiotherapist might ask, such as "pain clinics in [city] that accept referrals for radiofrequency ablation".

How often should we rerun the questions?

Monthly, plus after changes to insurance contracts, services or physicians.