Published Research
Chiropractic AI Citation Study
We ran the largest published AI citation study in the chiropractic industry. 20 U.S. cities. 120 query templates. 3 AI platforms. Over 12,000 responses analyzed. Here's what actually makes AI recommend one practice over another.
Key Takeaways
- ✓Website structure is the single strongest predictor of AI citation (Cohen’s d = 1.14). Nothing else comes close.
- ✓Domain authority has virtually no relationship with AI recommendations (r = -0.05). Backlinks don’t matter here.
- ✓82-89% of AI-cited practices are independent, not corporate chains. Depth of content beats brand recognition.
- ✓Only 8.7% of practices are recommended across all three AI platforms. Each model picks different winners.
- ✓Content under 3 months old is cited at 3x the rate. AI rewards freshness over age.
On this page
Study at a glance.
AI responses analyzed
U.S. cities studied
Query templates tested
AI platforms tested
Website structure effect
Domain authority correlation
How we ran this study.
This study was pre-registered, meaning we designed our hypotheses and methodology before collecting any data. This prevents cherry-picking results and ensures the findings are honest.
We tested across 20 U.S. cities of different sizes — from major metros to smaller markets. In each city, we queried ChatGPT, Perplexity, and Gemini using 120 different query templates covering the full range of how patients search for chiropractic care.
Query templates included things like “best chiropractor near me,” “chiropractor for back pain in [city],” and “who should I see for sciatica in [city].” We varied the wording, the conditions mentioned, and the type of query.
For every practice that AI recommended, we analyzed their website. We looked at heading structure, schema markup, content depth, domain authority, page speed, backlink profiles, content freshness, and more. Then we compared the websites AI recommended against the ones it didn’t.
The result: over 12,000 AI responses and a clear picture of what actually drives AI recommendations in chiropractic.
Pre-registered design
Hypotheses and methods were locked in before data collection. This prevents bias and ensures honest results.
120 query templates
We tested the full range of how patients search — conditions, treatments, locations, and general recommendations.
Full website audit
Every cited practice had its website analyzed for structure, schema, content, authority, speed, and freshness.
Finding #1
Website structure is the #1 predictor of AI citation.
This was the biggest finding in the entire study. How your website is organized — specifically, your heading hierarchy — is the strongest predictor of whether AI recommends you. Nothing else comes close.
The effect size was massive: Cohen's d = 1.14. In research terms, anything above 0.8 is considered a “large” effect. This is well beyond that. It means the gap between practices with good heading structure and those without is huge.
Practices with sequential heading hierarchies — meaning they use H1, then H2, then H3 in proper order — show 2.8x higher citation rates than those with messy or missing heading structure.
87% of cited practices use a single H1 tag on their pages. This sounds like a small detail, but it matters because it tells AI exactly what the page is about. When you have multiple H1 tags or no clear structure, AI struggles to understand your content.
Effect size (Cohen's d)
Higher citation rate with proper headings
Of cited practices use a single H1
Finding #3
Independent practices dominate AI recommendations.
When AI picks chiropractors to recommend, it overwhelmingly picks independent practices. Between 82% and 89% of all AI citations go to independent, owner-operated practices — not franchise locations or corporate chains.
This makes sense when you think about it. Independent practices tend to have deeper, more specific content. They write about the exact conditions they treat. They have pages about their specific approach. Corporate chains tend to use templated websites that say the same thing in every city.
AI is looking for depth and specificity. It wants to understand what makes your practice different. Cookie-cutter content doesn't give AI anything useful to work with. Original, detailed content does.
If you're an independent chiropractor, this is great news. You don't need a big brand. You don't need a national marketing budget. You need a well-structured website with content that shows your expertise.
Of AI citations go to independent practices
Of AI citations go to corporate chains
Finding #4
Each AI platform picks different winners.
Here's something most people don't realize: ChatGPT, Perplexity, and Gemini almost never agree on which chiropractor to recommend.
Only 8.7% of practices that received a citation were recommended by all three platforms. That means over 91% of the time, a practice cited by one AI is not cited by the others.
Each AI model processes content differently. They weight different signals. They pull from different sources. So optimizing for just one platform leaves you invisible on the others. You need an approach that works across all of them.
On top of that, only about 30% of brands that appear in one AI response show up again in the next consecutive answer to the same query. AI recommendations are volatile. Consistent visibility requires ongoing optimization, not a one-time fix.
Overlap across all 3 AI platforms
Of citations are platform-specific
Consistency across consecutive answers
Finding #5
Lists, headings, and schema all compound.
Beyond overall heading hierarchy, we found several specific content structure signals that correlate strongly with AI citations.
HTML lists are a big one. Pages with bullet points and numbered lists are roughly 3x more likely to be cited. Cited practices average 13.75 list sections per page, compared to just 0.81 for non-cited practices. AI loves content it can easily parse and extract from.
Schema markup also matters. Practices with 3 or more schema types on their site — like LocalBusiness, MedicalBusiness, FAQPage, or Service schema — are about 13% more likely to be cited. Schema gives AI structured, machine-readable data about who you are, what you do, and where you are.
These factors stack. A practice with clean headings, plenty of lists, and robust schema markup is giving AI everything it needs to understand and recommend them. A practice without these things is making AI guess — and AI usually guesses in favor of someone else.
Higher citation rate with HTML lists
Avg list sections on cited pages
Citation boost with 3+ schema types
Finding #6
Fresh content gets cited at 3x the rate.
Content that was published or updated within the last 3 months is cited at roughly 3x the rate of older content. AI models prefer current information. This is different from traditional SEO, where an old page with lots of backlinks can rank for years without an update.
In AI search, recency is a signal. If your website hasn't been updated in a year, AI may treat it as stale and look elsewhere. This is especially true for content that touches on treatments, techniques, or patient questions that evolve over time.
This is why AEO is not a one-time project. It requires ongoing content updates and freshness signals. Practices that publish and update regularly stay visible. Those that “set it and forget it” slowly fade from AI recommendations.
Citation rate for content < 3 months old
Maintain visibility across consecutive answers
What this means for your practice.
The chiropractic AI citation landscape is wide open. With an average citation rate of only 1.6%, almost no one is being recommended by AI right now. That's not a problem — it's an opportunity.
The practices that win in AI search are not the ones with the biggest budgets or the most backlinks. They're the ones with the best-structured websites. Clean headings. Dedicated service pages. Structured data. Fresh content. HTML lists.
None of this is expensive. None of it requires a huge team. But it does require knowing what to do and doing it consistently. That's what we help with.
Fix your website structure first
Get a single H1 per page. Use H2s and H3s in proper order. This one change has a bigger impact than anything else you can do.
Create dedicated service pages
Every condition you treat should have its own page. 82-89% of cited practices have these. If you don't, you're invisible for those searches.
Add structured data (schema)
Implement LocalBusiness, MedicalBusiness, and FAQ schema at minimum. Practices with 3+ schema types see a measurable citation boost.
Use lists and clear formatting
Add bullet points, numbered lists, and scannable content. Cited pages have 17x more list sections than non-cited pages.
Keep your content fresh
Publish or update content regularly. Content less than 3 months old is cited at 3x the rate. AI rewards recency.
Optimize for all platforms
ChatGPT, Perplexity, and Gemini pick different winners. Only 8.7% overlap. You need to be visible everywhere, not just one platform.
Frequently asked questions.
How is this different from other AEO studies?
Most AEO claims are based on theory or anecdotes. This study is pre-registered research — we designed the methodology before collecting data, tested across 20 US cities and 3 AI platforms, and analyzed over 12,000 responses. It's the largest published AI citation study in the chiropractic industry. The findings are based on what we measured, not what we assumed.
Does this study apply to other industries?
The core principles — website structure, content depth, schema markup — apply broadly. We've confirmed similar patterns in our physical therapy study. That said, every industry has nuances. That's why we run separate studies for each vertical instead of generalizing from one dataset.
Why doesn't domain authority matter for AI search?
Domain authority is a proxy for how many other websites link to you. Google uses links as a trust signal. But AI models don't evaluate pages the same way Google does. AI reads your content directly and evaluates whether it answers the user's question clearly. It cares about what's on your page — not who links to it.
How often do AI recommendations change?
They're more volatile than Google rankings. Only about 30% of practices that appear in one AI response show up again in the next consecutive answer to the same query. That's why ongoing optimization matters. A one-time fix isn't enough — you need consistent structure, fresh content, and monitoring across platforms.
Can I do this myself, or do I need help?
The structural fixes — heading hierarchy, single H1, schema markup — are specific and well-defined. If you have a web developer, you can implement them. The harder part is ongoing content strategy, cross-platform monitoring, and knowing which changes to prioritize. That's where working with a team that has the research data gives you an edge.
Want this research applied to your practice?
Every recommendation we make is backed by this data. Start with a free strategy call to see how AI handles your market today.