What LLMs cite

hazardous waste labels for California compliance

From recent prompt runs · US · Updated October 13, 2025

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

Top brand

Labelmaster

Leads across all key metrics

AI engines mentioning

2 of 3

Labelmaster appears in 2 of 3 AI engines

#1 recommendations

2

Labelmaster was the #1 recommendation twice.

AI answer share

67%

Labelmaster appears in 67% of answers in our tests

Top AI Answers

Which companies appear most often in AI responses?

Updated October 13, 2025

Company AI Answer Share across AI engines
#CompanyAI engines mentioning#1 recommendationsAI answer share
1Labelmaster Claim your company2 of 3267%
2HCL Labels, Inc. Claim1 of 3133%
3J. J. Keller & Associates, Inc. Claim1 of 3033%
4JJ Keller Claim1 of 3033%
5Avery Products Corporation Claim1 of 3033%
6Brady Corporation Claim2 of 3067%
7My Safety Labels Claim1 of 3033%
8Seton Claim2 of 3067%

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

Labelmaster 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
hazardous waste labels for California compliance
Market
US
AI engines
Gemini, Perplexity, and ChatGPT
Research date
October 13, 2025