The single highest-leverage thing you can do for your practice marketing in 2026: Build out a list of FAQ posts answering the questions your patients actually ask.
Hopefully you have your list (→ watch here if you missed the video walkthrough) of frequently asked questions.
Today, I'll cover the anatomy of a perfectly optimized FAQ post – so ChatGPT, Claude, Gemini, and Perplexity all decide your answer is the one worth citing.
I shot a short walkthrough breaking this down on a real example page:
If you'd rather read, here are the five factors that separate an FAQ post that ranks from one that disappears into the void.
When someone types "how long does it take for BHRT to work" into ChatGPT, they want a quick answer up top. Give them one in the first paragraph.
Then go deeper. Answer the related questions they didn't ask but absolutely need to understand. Why this isn't a one-and-done thing. A realistic timeline. What actually influences how fast someone feels better.
The reason this matters is that AI is judging your post on comprehensiveness. A post that answers only the literal question looks thin. A post that answers the literal question plus the five questions hovering behind it looks like authoritative content. And authoritative is what ChatGPT is trained to surface.
The patient asking "how fast does BHRT work" almost always has a quieter second question they didn't type. "Is this safe?"
Don't make them go searching for the answer on a different page. Address it inside the FAQ. Walk them through your process. You test. You retest. You dial in the right dose and route. You don't do one-and-done dosing. That's the answer to "is it safe" without ever needing the patient to ask the question out loud.
The same principle applies to "what if I don't feel better." Be honest. Some people don't feel better right away. Some feel worse first. That's normal, and that's what your follow-up process is for. Full disclosure builds trust, both with the patient reading and with the AI scoring the page.
This is the part that surprises practitioners.
You cannot write a 300-word FAQ post and expect ChatGPT to pick it up. There are a gazillion 300-word FAQ posts on every health topic. None of them rank. ChatGPT looks at them, decides there's a more comprehensive source somewhere else, and surfaces that one instead.
If you want to be the source ChatGPT cites, you have to be the most thorough thing it can find on that question. 1,500 - 1,800 words is the floor, not the stretch goal.
This sounds like a lot. It isn't, once you include the direct answer, the related questions, the objections, the realistic timeline, your clinical process, and what to do next. By the time you've covered all of that, you're already at 1,500 words.
AI is scanning every FAQ for the same handful of credibility signals. Make sure yours has all of them.
You wrote 1,800 words. The patient reading is engaged. Don't leave them at the bottom of the page with nowhere to go.
Two options work well. Link to a related resource (a deeper article, a relevant webinar, another FAQ). Or invite them to book a discovery call to talk about their specific situation. Either way, the post ends with a path forward, not a dead end.
Build 30-50 FAQ posts like that and ChatGPT will start treating you as a the source for your topic in your area.
Dr. Garland Glenn, the same doctor from the ad split test last week, published 70 of these on his website in roughly three hours, using the AI workflow we built for our clients. 2-3 minutes per post. That's how he went from a website ChatGPT had never heard of to one ChatGPT routinely cites for cognitive decline questions in his area.
You can do this yourself. The structure above is everything you need.
If you'd like the AI workflow that turns this into a two-minute-per-post production line, or if you'd rather have our team write and publish the whole library for you, book a Success Planning Session aand tell me which one. I'll point you the right way.
