Category AI Visibility Report
Body Parts AI Visibility Report 2026: Top Brands & Buyer Topics in AI Search
Data updated 2026-08-27 · 30-day window · ChatGPT · Google AI Mode · Google AI Overviews
≈39,994
Est. AI queries / month
12
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 12 buyer topics in Body Parts across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 39,994 AI queries per month.
- Netter Atlas of Human Anatomy leads the AI shelf with 15.9% of brand mentions, followed by Kenhub (11.2%) and Gray’s Anatomy (7.1%). The top three hold 34.2% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “body parts nervous system” (top keyword “neuron diagram”, ~27,100 searches/mo).
- AI answers lean on nih.gov most (23.4% of citations) — earning presence on these sources is the shortest path to being recommended.
Brands AI recommends most
Share of brand mentions across AI answers in the last 30 days (Share of Model).
| # | Brand | AI mentions | Share |
|---|---|---|---|
| 1 | Netter Atlas of Human Anatomy | 488 | 15.9% |
| 2 | Kenhub | 342 | 11.2% |
| 3 | Gray’s Anatomy | 217 | 7.1% |
| 4 | Thieme Atlas of Anatomy | 198 | 6.5% |
| 5 | Netter's | 140 | 4.6% |
| 6 | Complete Anatomy | 135 | 4.4% |
| 7 | Visible Body | 127 | 4.1% |
| 8 | 3B Scientific | 119 | 3.9% |
| 9 | OpenStax | 92 | 3% |
| 10 | Gray's Anatomy for Students | 74 | 2.4% |
What shoppers ask AI
Buyer topics monitored in this category, with estimated monthly AI queries and the top Google keyword behind each topic.
| Topic | Est. AI queries / mo | Top keyword | Search volume / mo |
|---|---|---|---|
| body parts nervous system | ≈23,009 | neuron diagram | 27,100 |
| body parts body types | ≈16,985 | body shapes | 27,100 |
| body parts organs | — | which side is appendix on | 22,200 |
| body parts in Spanish | — | parts of the body in spanish language | 18,100 |
| body parts respiratory system | — | respiratory system diagram | 22,200 |
| male and female body parts | — | male anatomy | 22,200 |
| body parts anatomy | — | body anatomy | 27,100 |
| body parts body cavities | — | cavities human body | 27,100 |
| body parts diagrams | — | body diagram | 18,100 |
| body parts muscles | — | back muscle diagram | 22,200 |
| body parts bones | — | facial bones | 27,100 |
| body parts by region | — | leg anatomy | 27,100 |
Sources AI cites in this category
Root domains AI engines cited most when answering category queries in the last 30 days.
| Domain | Citations | Share |
|---|---|---|
| nih.gov | 214 | 23.4% |
| reddit.com | 179 | 19.5% |
| kenhub.com | 159 | 17.4% |
| elsevier.com | 95 | 10.4% |
| openstax.org | 44 | 4.8% |
| elsevierhealth.com | 33 | 3.6% |
| teachmeanatomy.info | 18 | 2% |
| anatomyatlases.org | 18 | 2% |
FAQ
Which brands do AI assistants recommend most for body parts?
Over the last 30 days the top brands by AI mention share are: Netter Atlas of Human Anatomy (15.9%), Kenhub (11.2%), Gray’s Anatomy (7.1%), Thieme Atlas of Anatomy (6.5%), Netter's (4.6%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about body parts?
GEOly estimates ~39,994 AI queries per month in this category across 12 buyer topics, led by “body parts nervous system”.
Which sources do AI engines cite for body parts?
The most-cited domains are: nih.gov, reddit.com, kenhub.com, elsevier.com, openstax.org. Building brand presence on these sources is the most direct way to win AI recommendations.
Methodology
GEOly continuously runs category buyer prompts across ChatGPT, Google AI Mode, Google AI Overviews and records which brands are mentioned and which sources are cited. Figures aggregate a 30-day window; AI query volumes are modeled estimates from keyword demand and AI-adoption share. Data: GEOly MCP Server, updated 2026-08-27.
See your brand inside this category
GEOly tracks how ChatGPT, Google AI Mode and Google AI Overviews mention, rank and cite your brand against every competitor above — and what to fix to win the AI shelf.