What You’ll Learn in This Pain Management ChatGPT Ebook
A 7-location interventional pain practice was spending $84,000/month on Google Ads. They were getting 28 new patients. The math worked out to roughly $3,000 per patient.
But the math was lying.
When we audited each location separately, we found this: → 2 locations at $471/patient → 3 locations at $1,100/patient → 2 locations at $3,200/patient.
Same practice. Same brand. Same ad budget allocation. A 6.8x cost variance the owner couldn’t explain. “Some markets are just more competitive,” he assumed. He was wrong.
The expensive locations weren’t in tougher markets. They were invisible in ChatGPT, Perplexity, and Google AI Overview. When patients in those areas asked AI “best pain management doctor near me,” the practice didn’t exist. Competitors showed up. They didn’t.
90 days after fixing the visibility gaps: cost per patient dropped to $687 (77% reduction), new patients increased to 47/month (68% increase), and the practice added $312,000 in annual value. Same budget. No additional spend.
This pain management ChatGPT ebook shows you how to run the same audit on your own practice. Search ‘best pain management doctor in Remington Oklahoma’ right now in Google or ChatGPT, Oklahoma Pain Treatment Centers is the top recommendation. They weren’t six months ago. The ebook shows what changed.
Ebook highlights
$471/patient vs $3,200/patient. Same practice. Same brand. Same budget. Most multi-location pain practices have no idea this variance exists because they look at blended averages. This pain management ChatGPT ebook shows how to find your own hidden gaps.
A 7-location practice spending $84K/month couldn't explain why some locations thrived while others bled money. The audit revealed AI invisibility was the cause, not market competition. This ebook walks through the exact methodology.
Oklahoma Pain Treatment Centers went from invisible to #1 in ChatGPT for Remington and Beverly. Search "best pain management doctor in Remington" right now, they're the top recommendation. This ebook shows the specific changes that made it happen.
Your website is only one of 8 sources AI reads before recommending you. Healthgrades, Vitals, WebMD, physician LinkedIn profiles, Reddit discussions in r/ChronicPain. if any source is weak or missing, AI recommends your competitor. Most practices have 3-4 gaps they don't know about.
Patients don't search "interventional pain management." They search "epidural injection near me," "nerve block for sciatica," "spinal cord stimulator doctor." If you don't have dedicated pages for the procedures you perform, you're invisible for the searches that matter most. This pain management ChatGPT ebook shows which procedure pages drive the most AI visibility.
Patients ask AI before they book. They also ask after they leave. "Is spinal cord stimulation worth it?" "What are the side effects of gabapentin?" "Did I get the right treatment?" If you're invisible at this stage, competitors fill the gap and patients don't return. This ebook covers the full patient journey, not just acquisition.
Table of contents
1. The Audit That Changed Everything
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$84K/Month, 28 Patients, No Visibility Into Why
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The 6.8x Variance Hiding in Blended Averages
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Why “Some Markets Are More Competitive” Is Usually Wrong
2. Before They Call Your Office, They Ask ChatGPT
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800 Million Weekly ChatGPT Users
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Why 1 in 4 Patients Let AI Influence Their Choice
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The Referral That Never Arrived: 61% Override Physician Referrals
3. The 8 Sources AI Checks Before Recommending You
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Your Website: Procedure Pages, Provider Bios, Location Pages
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Google Business Profile: The Foundation Most Practices Neglect
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Review Platforms: Healthgrades, Vitals, WebMD
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LinkedIn: Practice Page and Individual Physician Profiles
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Reddit: r/ChronicPain, r/backpain Discussions
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The Source Gap Audit: Finding Your Missing Pieces
4. The Procedure Search Gap
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What Patients Actually Search vs What You Think They Search
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“Epidural Injection Near Me” vs “Interventional Pain Management”
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Which Procedure Pages Drive the Most AI Visibility
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Building Pages AI Can Actually Extract From
5. The Post-Visit AI Problem
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Patients Ask AI After Appointments, Not Just Before
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Treatment Validation Searches: “Is This Worth It?”
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Side Effect Searches: “What Should I Expect?”
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How Invisibility at This Stage Kills Retention
6. Case Study: 7-Location Interventional Pain Practice
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The $3,000/Patient Problem
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The Audit Methodology
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$3,000 → $687/Patient (77% Reduction)
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28 → 47 New Patients/Month (68% Increase)
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$312K Annual Value Added, Same Budget
7. Case Study: Oklahoma Pain Treatment Centers
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From Invisible to #1 in ChatGPT
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Remington and Beverly: Proof You Can Verify Right Now
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The Specific Changes That Made the Difference
8. The 5-Minute AI Visibility Test
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The 3 Queries to Run Right Now
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The 5 Criteria to Score Yourself On
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What Your Score Means (0-2: Invisible, 3-4: Partial, 5: Optimized)
9. The Fix: Four Pillars of AI Visibility
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Content Architecture for Pain Practices
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Technical Foundation
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Trust Signals
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Ecosystem Presence
10. What to Fix This Week
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The 3 Google Business Profile Changes That Matter Most
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Procedure Pages: Template and Checklist
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Physician LinkedIn Setup for AI Extraction
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Review Response System That Builds Trust Signals
Before They Call Your Pain Medicine Office, They Ask ChatGPT
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