That is a crowded market. The other names in the answer are a large pain management group and a hospital affiliated multispecialty clinic. This is a pain management group with offices across Orange County and the wider Southern California area.
Why AI placement in a metro like this is harder than it sounds
the largest of its markets is not a small city with three pain clinics. It sits inside a metro with hospital systems, large physician groups and national directories, all of which have the kind of domain authority an independent practice will never match.
When a model answers a question like this, it is pulling from pages it can read and verify. Large systems win that by default, because they have hundreds of pages and decades of citations. An independent practice gets into that answer by being unambiguous about three things: which physician treats what, which conditions the practice handles, and where its offices are.
That is the entire play. Not tricks, not prompt stuffing, not anything you do to ChatGPT directly. Clear pages that state plainly what is true.
What a multi location practice gets wrong by default
A group with offices in several cities usually builds one website with a locations page, and that is where the problem starts.
A patient in one of those cities searches with their city attached. The locations page mentions the city once, in an address block, alongside six other cities. To a search engine that page is about nothing in particular, and to a model summarizing options it is weak evidence that the practice actually serves that city.
The fix is not subtle. Each office city needs its own real page, and the major conditions need their own pages within those cities. A group with offices in seven cities and eight core conditions is looking at 56 pages before anyone writes a word about a suburb, which is why most groups never do it and why the ones that do pull away.
What we work on first for a practice in this shape
- The Google Business Profile for each office, because a multi location group has one per city and most are half filled in
- The condition pages that carry the real revenue, built for the home city first
- The second and third city, repeating the same condition set rather than writing thin variations
- Review generation per location, since map placement is per profile and not shared across the group
The order matters more here than for a single location practice. Spreading effort evenly across every city at once produces a weak footprint in all of them. Finishing one city produces a template that makes the rest faster.
Where this practice sits now
ChatGPT names one of their physicians as its second recommendation for pain management in the largest of its markets, with the practice attached, checked logged out with no account.
In nearby a second city twenty minutes away the same question returns four other practices and not this one, which tells us exactly where the next work goes. We would rather show you both results than the one that flatters us, because the gap between the two is the honest picture of where a multi location campaign stands partway through.
What we would do the same for another multi location group
Pick the city where the practice is strongest and finish it completely before touching the others. Build a real page per city per condition rather than a locations page. Treat each office's Google Business Profile as its own asset with its own reviews. Expect the cities to come in sequence rather than together.
What practices ask us about this account
What does this cost and what do I have to do?
The $97 test covers one keyword and four pages, so you can see the work before you commit to anything. Ongoing work is a monthly retainer starting at $495 and we quote it after we look at your market, because one city costs less than a cluster of them. Your side of it is approving the keyword list and correcting us when we get something clinical wrong. We write the pages, build them and publish them.
Is being named second in ChatGPT worth anything?
Yes, in a metro like this one. A patient asking an AI for a recommendation typically gets three or four names. Being one of them puts an independent practice in the same consideration set as the hospital systems, which is not where it would land in a plain directory listing.
Why does the practice rank in one city and not the next one over?
Because the pages exist for one and not yet for the other. AI and Google both need something concrete to point at, per city, per condition. Where we have built that, the placement follows. Where we have not, it does not.
Does a group need a separate website per location?
No. Separate pages, same site. Separate sites split your authority and make everything harder.
Which practice is this?
A group this size has several front desks and a compliance officer. Naming them in a marketing page is a conversation we are not going to win, so we do not have it. It is a pain management group with offices across Southern California.
See what this looks like on your own practice
Pick your weakest office.
- You pick one keyword your practice does not rank for today.
- We build four pages designed to rank for it and publish them.
- Within 10 days you are on page one of Google for that keyword or recommended by ChatGPT for it.
- If we miss, you get your money back plus $500 in SEO credits.
It costs $97. If you run several locations, book a call instead and we will check each of your cities live and show you which ones you already own and which ones you are invisible in.
[BUTTON: Test it for $97 → https://animalhousemarketing.com/rank-fast/]
[BUTTON: Book a ranking strategy session → https://calendly.com/jan-animalhousemarketing/ranking-strategy-session]