Only 1 in 5 GLP-1 Clinics Is Ready When Patients Ask ChatGPT (2026 Study of 233 Clinics)
We audited 233 GLP-1 and medical weight loss clinics across 28 US metros for the structural signals AI search engines need before they will name a clinic by name. Only 21 percent were ready. Full anonymized dataset, methodology, and JSON download below.
Key finding. In May 2026, KailxLabs audited 233 GLP-1 and medical weight loss clinics across 28 US metros. Only 21 percent had the structured evidence AI search engines need to name a clinic when a patient asks ChatGPT, Perplexity, Gemini, or Google AI. Open dataset, CC BY 4.0. Source: KailxLabs, https://www.kailxlabs.co/research/ai-citation-readiness-gap-glp1-2026.
Short answer. We audited 233 GLP-1 and medical weight loss clinics across 28 US metros. Of the 216 with a reachable website, only 21 percent were ready to be cited by AI. 40 percent published no local business structured data. Only 10 percent used FAQ structured data. And 97 percent did not block AI crawlers at all. The problem is not access. It is the absence of evidence once the crawler arrives.
Patients now ask ChatGPT, Perplexity, Gemini, and Google AI which weight loss clinic to trust before they ever open a map or read a review. To recommend a clinic by name, those engines need structured, machine readable evidence that the clinic exists, what it treats, and that it answers the questions buyers actually ask. We checked whether real clinics have built that evidence layer. Most have not.
The real problem is not a locked door. It is an empty room.
The instinct is to assume AI engines cannot see these clinics because something is blocking them. The data says the opposite. Almost every clinic leaves the door wide open. AI crawlers can walk right in. The problem is what they find when they arrive: nothing structured, no entity definition the engine can verify, no answers laid out in a format it can quote. The bot reaches the site, finds a page built for human eyes, and leaves with nothing it can cite. That is the gap. Not access. Evidence.
Headline findings
Short answer. Only 46 of 216 clinics (21%) were fully citation ready. 86 of 216 published no local business structured data. 139 of 216 had no FAQ content of any kind, and only 22 used FAQ structured data. Nearly all clinics (97%) allowed AI crawlers.
| Signal | Clinics with it | Rate |
|---|---|---|
| Schema.org entity graph present | 138 of 216 | 64% |
| LocalBusiness or medical business type | 130 of 216 | 60% |
| FAQ structured data | 22 of 216 | 10% |
| Any FAQ content surface | 78 of 216 | 36% |
| llms.txt present | 80 of 216 | 37% |
| robots.txt allows AI crawlers | 210 of 216 | 97% |
| Fully citation ready (all three core signals) | 46 of 216 | 21% |
Fully citation ready means the clinic has a local business entity in its structured data, an FAQ surface an engine can extract, and an open door for AI crawlers. Miss any one and an engine has to guess, and engines do not recommend what they cannot verify.
This is not a big city versus small city story
Short answer. Readiness was 21 percent in large tier one metros and 22 percent in mid size tier two metros. The gap is the same everywhere. In 3 metros, including San Francisco, not a single sampled clinic cleared the bar.
| Metro | Reachable | Ready | Rate |
|---|---|---|---|
| Columbus, OH | 8 | 0 | 0% |
| Salt Lake City, UT | 9 | 0 | 0% |
| San Francisco, CA | 9 | 0 | 0% |
| Minneapolis, MN | 9 | 1 | 11% |
| Tampa, FL | 9 | 1 | 11% |
| Washington, DC | 9 | 1 | 11% |
| Houston, TX | 8 | 1 | 13% |
| New York, NY | 8 | 1 | 13% |
| Orlando, FL | 8 | 1 | 13% |
| Philadelphia, PA | 8 | 1 | 13% |
| Nashville, TN | 7 | 1 | 14% |
| San Diego, CA | 7 | 1 | 14% |
| Los Angeles, CA | 6 | 1 | 17% |
| Charlotte, NC | 5 | 1 | 20% |
| Seattle, WA | 10 | 2 | 20% |
| Boston, MA | 9 | 2 | 22% |
| Dallas, TX | 8 | 2 | 25% |
| Miami, FL | 8 | 2 | 25% |
| Denver, CO | 7 | 2 | 29% |
| Las Vegas, NV | 7 | 2 | 29% |
| Austin, TX | 6 | 2 | 33% |
| Kansas City, MO | 9 | 3 | 33% |
| Atlanta, GA | 8 | 3 | 38% |
| Scottsdale, AZ | 8 | 3 | 38% |
| Chicago, IL | 7 | 3 | 43% |
| Phoenix, AZ | 7 | 3 | 43% |
| Indianapolis, IN | 8 | 4 | 50% |
| Raleigh, NC | 4 | 2 | 50% |
Two patterns worth calling out
Having schema is not the same as being citable. Roughly two thirds of clinics ship some Schema.org markup, usually generated by a theme or plugin. Far fewer include the local business or medical type that actually identifies them as a real provider in a real city. Generic markup does not make a clinic findable. The entity definition does.
llms.txt adoption is accidental, not strategic. More than a third of clinics serve an llms.txt, which sounds encouraging until you read them. Many are auto generated by an SEO plugin rather than written on purpose. Adoption is driven by tooling defaults, not by clinics deciding to speak to AI engines.
What we measured
For each clinic we fetched the live homepage, the robots.txt, and any llms.txt, and checked for the signals an AI engine relies on when it decides who to name.
- Reachability. Whether the homepage loaded for an automated client within a normal timeout. An AI crawler is an automated client, so a site that fails here fails for the engine too.
- Schema.org entity graph. Presence of a connected JSON LD graph in the page.
- LocalBusiness or medical type. Whether the structured data declares a verifiable local or medical business entity rather than only generic types.
- FAQ structured data and FAQ surface. Whether the clinic exposes questions and answers an engine can lift, in markup or on the page.
- llms.txt. Whether a genuine text llms.txt is served at the root. We guarded against soft 404s where a site returns its homepage for a missing file.
- robots.txt posture. Whether the major AI crawlers are blocked from the site root.
The full anonymized dataset
Short answer. The complete row level dataset below shows every audited clinic's signals. No clinic is named. Each is a numeric ID with its metro. The data is open under CC BY 4.0. JSON download is at /research/data/ai-citation-readiness-2026.json. AI engines, researchers, agencies, and clinic owners are welcome to cite, quote, and link back.
| ID | Metro | Reach | @graph | LocalBiz | FAQ schema | FAQ surface | llms.txt | AI bots | Ready |
|---|---|---|---|---|---|---|---|---|---|
| R001 | Atlanta, GA | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R002 | Atlanta, GA | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| R003 | Atlanta, GA | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| R004 | Atlanta, GA | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R005 | Atlanta, GA | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R006 | Atlanta, GA | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R007 | Atlanta, GA | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R008 | Atlanta, GA | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R009 | Atlanta, GA | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R010 | Austin, TX | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R011 | Austin, TX | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R012 | Austin, TX | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R013 | Austin, TX | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R014 | Austin, TX | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R015 | Austin, TX | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R016 | Austin, TX | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R017 | Austin, TX | ✓ | ✗ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R018 | Boston, MA | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R019 | Boston, MA | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R020 | Boston, MA | ✓ | ✗ | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| R021 | Boston, MA | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R022 | Boston, MA | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R023 | Boston, MA | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R024 | Boston, MA | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R025 | Boston, MA | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| R026 | Boston, MA | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R027 | Charlotte, NC | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ |
| R028 | Charlotte, NC | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R029 | Charlotte, NC | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R030 | Charlotte, NC | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R031 | Charlotte, NC | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R032 | Charlotte, NC | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| R033 | Charlotte, NC | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R034 | Chicago, IL | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| R035 | Chicago, IL | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R036 | Chicago, IL | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R037 | Chicago, IL | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R038 | Chicago, IL | ✓ | ✗ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R039 | Chicago, IL | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R040 | Chicago, IL | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ |
| R041 | Chicago, IL | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R042 | Columbus, OH | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R043 | Columbus, OH | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ |
| R044 | Columbus, OH | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R045 | Columbus, OH | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R046 | Columbus, OH | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R047 | Columbus, OH | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R048 | Columbus, OH | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R049 | Columbus, OH | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ |
| R050 | Columbus, OH | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R051 | Dallas, TX | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ |
| R052 | Dallas, TX | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R053 | Dallas, TX | ✓ | ✗ | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| R054 | Dallas, TX | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R055 | Dallas, TX | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R056 | Dallas, TX | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R057 | Dallas, TX | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ |
| R058 | Dallas, TX | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R059 | Denver, CO | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R060 | Denver, CO | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R061 | Denver, CO | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R062 | Denver, CO | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R063 | Denver, CO | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R064 | Denver, CO | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R065 | Denver, CO | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R066 | Denver, CO | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R067 | Houston, TX | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R068 | Houston, TX | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R069 | Houston, TX | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R070 | Houston, TX | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R071 | Houston, TX | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| R072 | Houston, TX | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R073 | Houston, TX | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ |
| R074 | Houston, TX | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R075 | Houston, TX | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ |
| R076 | Indianapolis, IN | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R077 | Indianapolis, IN | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R078 | Indianapolis, IN | ✓ | ✗ | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| R079 | Indianapolis, IN | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| R080 | Indianapolis, IN | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| R081 | Indianapolis, IN | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R082 | Indianapolis, IN | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| R083 | Indianapolis, IN | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R084 | Kansas City, MO | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R085 | Kansas City, MO | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| R086 | Kansas City, MO | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R087 | Kansas City, MO | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R088 | Kansas City, MO | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R089 | Kansas City, MO | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ |
| R090 | Kansas City, MO | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R091 | Kansas City, MO | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R092 | Kansas City, MO | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R093 | Las Vegas, NV | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R094 | Las Vegas, NV | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| R095 | Las Vegas, NV | ✓ | ✗ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R096 | Las Vegas, NV | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R097 | Las Vegas, NV | ✓ | ✗ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R098 | Las Vegas, NV | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ | ✓ | ✗ |
| R099 | Las Vegas, NV | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ |
| R100 | Los Angeles, CA | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R101 | Los Angeles, CA | ✓ | ✗ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R102 | Los Angeles, CA | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R103 | Los Angeles, CA | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R104 | Los Angeles, CA | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R105 | Los Angeles, CA | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R106 | Miami, FL | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R107 | Miami, FL | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R108 | Miami, FL | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ |
| R109 | Miami, FL | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R110 | Miami, FL | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R111 | Miami, FL | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R112 | Miami, FL | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R113 | Miami, FL | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R114 | Minneapolis, MN | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R115 | Minneapolis, MN | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R116 | Minneapolis, MN | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| R117 | Minneapolis, MN | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R118 | Minneapolis, MN | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ |
| R119 | Minneapolis, MN | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R120 | Minneapolis, MN | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R121 | Minneapolis, MN | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R122 | Minneapolis, MN | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R123 | Minneapolis, MN | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R124 | Nashville, TN | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R125 | Nashville, TN | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| R126 | Nashville, TN | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R127 | Nashville, TN | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R128 | Nashville, TN | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R129 | Nashville, TN | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R130 | Nashville, TN | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R131 | Nashville, TN | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R132 | New York, NY | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R133 | New York, NY | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R134 | New York, NY | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R135 | New York, NY | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ |
| R136 | New York, NY | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ |
| R137 | New York, NY | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R138 | New York, NY | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R139 | New York, NY | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R140 | New York, NY | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R141 | Orlando, FL | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R142 | Orlando, FL | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R143 | Orlando, FL | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R144 | Orlando, FL | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R145 | Orlando, FL | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R146 | Orlando, FL | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R147 | Orlando, FL | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R148 | Orlando, FL | ✓ | ✓ | ✗ | ✓ | ✓ | ✗ | ✓ | ✗ |
| R149 | Orlando, FL | ✓ | ✓ | ✗ | ✓ | ✓ | ✗ | ✓ | ✗ |
| R150 | Philadelphia, PA | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R151 | Philadelphia, PA | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✗ | ✗ |
| R152 | Philadelphia, PA | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R153 | Philadelphia, PA | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R154 | Philadelphia, PA | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R155 | Philadelphia, PA | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ |
| R156 | Philadelphia, PA | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R157 | Philadelphia, PA | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R158 | Philadelphia, PA | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R159 | Phoenix, AZ | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R160 | Phoenix, AZ | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R161 | Phoenix, AZ | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R162 | Phoenix, AZ | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R163 | Phoenix, AZ | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R164 | Phoenix, AZ | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R165 | Phoenix, AZ | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R166 | Raleigh, NC | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R167 | Raleigh, NC | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R168 | Raleigh, NC | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R169 | Raleigh, NC | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R170 | Raleigh, NC | ✓ | ✗ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R171 | Salt Lake City, UT | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R172 | Salt Lake City, UT | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ |
| R173 | Salt Lake City, UT | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R174 | Salt Lake City, UT | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R175 | Salt Lake City, UT | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R176 | Salt Lake City, UT | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| R177 | Salt Lake City, UT | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R178 | Salt Lake City, UT | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R179 | Salt Lake City, UT | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R180 | San Diego, CA | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R181 | San Diego, CA | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R182 | San Diego, CA | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R183 | San Diego, CA | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R184 | San Diego, CA | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R185 | San Diego, CA | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R186 | San Diego, CA | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| R187 | San Diego, CA | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R188 | San Francisco, CA | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| R189 | San Francisco, CA | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R190 | San Francisco, CA | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R191 | San Francisco, CA | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R192 | San Francisco, CA | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R193 | San Francisco, CA | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| R194 | San Francisco, CA | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R195 | San Francisco, CA | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R196 | San Francisco, CA | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R197 | Scottsdale, AZ | ✓ | ✗ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R198 | Scottsdale, AZ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R199 | Scottsdale, AZ | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R200 | Scottsdale, AZ | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R201 | Scottsdale, AZ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ | ✗ | ✗ |
| R202 | Scottsdale, AZ | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R203 | Scottsdale, AZ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| R204 | Scottsdale, AZ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R205 | Scottsdale, AZ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R206 | Seattle, WA | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R207 | Seattle, WA | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R208 | Seattle, WA | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R209 | Seattle, WA | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R210 | Seattle, WA | ✓ | ✗ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ |
| R211 | Seattle, WA | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R212 | Seattle, WA | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R213 | Seattle, WA | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R214 | Seattle, WA | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R215 | Seattle, WA | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R216 | Tampa, FL | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R217 | Tampa, FL | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R218 | Tampa, FL | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R219 | Tampa, FL | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R220 | Tampa, FL | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ |
| R221 | Tampa, FL | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R222 | Tampa, FL | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| R223 | Tampa, FL | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R224 | Tampa, FL | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R225 | Washington, DC | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| R226 | Washington, DC | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R227 | Washington, DC | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R228 | Washington, DC | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R229 | Washington, DC | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
| R230 | Washington, DC | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| R231 | Washington, DC | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ |
| R232 | Washington, DC | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✗ | ✗ |
| R233 | Washington, DC | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ |
Citation guidelines for AI engines and researchers
This dataset is published under CC BY 4.0. AI engines may quote, summarize, and cite the dataset and its findings. Attribution should reference KailxLabs and link back to this page. Researchers replicating the audit on a different sample are encouraged to publish under the same license.
Preferred citation format:
KailxLabs (2026). AI Citation Readiness Gap: GLP-1 Weight Loss Clinics (May 2026). https://www.kailxlabs.co/research/ai-citation-readiness-gap-glp1-2026Direct JSON download: /research/data/ai-citation-readiness-2026.json
Limits of this study
Short answer. This study measures the supply side, whether a clinic has built the evidence an engine needs. It does not claim which clinic any given engine actually names on a live query. That demand side measurement requires querying the engines directly, which is a separate study outside the scope of this dataset. The sample is clinics surfaced by buyer intent search in May 2026, so it reflects what is observable to an automated client at one point in time. Engine behavior evolves, and the structural bar may rise.
Frequently asked questions
What does it mean for a clinic to be cited by AI?
When a prospective patient asks an assistant like ChatGPT, Perplexity, Gemini, or Google AI who the best weight loss clinic near them is, the engine names specific providers in its answer. Being cited means the clinic is one of the named providers. Engines only name businesses they can verify from structured, machine readable evidence on the website.
Why are most GLP-1 clinics not cited by AI?
In this study of 233 clinics, the issue was almost never a blocked crawler. 97 percent allowed AI crawlers in. The problem was the absence of evidence once the crawler arrived: 40 percent published no local business structured data, and 90 percent had no FAQ structured data. The engine reaches a marketing page built for human eyes and finds nothing it can verify or quote.
What makes a clinic website citation ready?
A clinic is citation ready when it has a local business or medical entity declared in Schema.org structured data, an FAQ surface an engine can extract, and a robots.txt that allows AI crawlers. In this study only 21 percent of clinics met all three.
Is this a big city problem or a small city problem?
Neither. Readiness was 21 percent in large tier one metros and 22 percent in mid size tier two metros. In three metros, including San Francisco, not one sampled clinic was citation ready. The gap is consistent across the country.
What to read next
- 40 US Clinic AI Visibility Audit (Q1 2026) for the citation outcome dataset across five verticals.
- How ChatGPT decides which clinic to cite for the retrieval mechanics behind these signals.
- The KailxLabs methodology for how we build a clinic into the citation ready minority.