What LLMs cite

Clean sterilization methods for medical products

From recent prompt runs · United States · Updated September 10, 2026

GEOGrow tested this high-intent customer question across Gemini, ChatGPT, and Perplexity. Rankings below show which companies appeared most often in those responses — not who is independently the best.

Top brand

STERIS

Leads across all key metrics

AI engines mentioning

2 of 3

STERIS appears in 2 of 3 AI engines

#1 recommendations

2

STERIS was the #1 recommendation twice.

AI answer share

67%

STERIS appears in 67% of answers in our tests

Top AI Answers

Which companies appear most often in AI responses?

Updated September 10, 2026

Company AI Answer Share across AI engines
#CompanyAI engines mentioning#1 recommendationsAI answer share
1STERIS Claim your company2 of 3267%
2Steris Corporation Claim1 of 3133%
3Advanced Sterilization Products (ASP) Claim2 of 3067%
4sterigenics Claim2 of 3067%
53m Claim1 of 3033%
6Getinge Group Claim1 of 3033%
7Getinge Claim1 of 3033%
8Tuttnauer Claim3 of 30100%

What Each AI Recommended

Recent answer snapshots by engine.

What LLMs cite

Sources cited in the most recent prompt runs for this question. The mix varies by engine.

View full citation index →

Who's Winning in AI?

AI Leaderboard · Based on this buyer question

STERIS currently leads this conversation.

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How We Measure AI Answer Share

AI Answer Tracker by GEOGrow measures how companies appear when high-intent customer questions are asked across supported AI platforms. Results are observational snapshots and can vary by model, location, personalization, source availability, and date.

AI Answer Share is weighted recommendation appearances divided by all possible recommendation opportunities. Rankings shown here represent the responses collected during the stated research period and are not endorsements by GEOGrow. Method: 3 independent AI observations.

Question tested
Clean sterilization methods for medical products
Market
United States
AI engines
Gemini, ChatGPT, and Perplexity
Research date
September 10, 2026