ChatGPT2 / 3
4—5
Recognized the regional fit, but placed Falkenwerk after multinational equipment suppliers.
AI visibility baseline / Industrial refrigeration / DACH
Your brand appears when named.
It is rarely found unprompted.
Falkenwerk appears consistently in questions that name the company. In unbranded buyer questions, larger manufacturers take the field before Falkenwerk is considered.
Falkenwerk Process Cooling
Fictional company · realistic composite case
Visibility score
Confidence: directional
34/100
AbsentEstablished
Unbranded discovery29
Decision-stage fit38
4AI platforms
8controlled questions
3×repetitions per question
96answers analyzed
ChatGPT · Claude · Gemini · Perplexity
01
Core finding
The short version
Falkenwerk appears in direct questions. It rarely enters the answer when a buyer asks who can do the work.
Questions that named Falkenwerk produced consistent mentions. That visibility did not carry into category discovery: Falkenwerk appeared in only five of twelve repeated answers to the primary unbranded question.
02
Evidence trail
Primary discovery question
“Which companies design and maintain low-GWP industrial refrigeration systems for food manufacturers in southern Germany?”
Each platform received the same question in three separate runs. The table shows whether Falkenwerk appeared organically and, if so, its position in the answer.
Claude1 / 3
—5—
Favored established manufacturers and cautioned buyers to verify local service coverage.
Gemini0 / 3
———
Returned global brands with strong category pages; Falkenwerk did not enter the answer set.
Perplexity2 / 3
—44
Found Falkenwerk through project references, though the cited pages lacked comparable outcome data.
What displaced the brand
GEA12/12
Johnson Controls11/12
ENGIE Refrigeration9/12
Falkenwerk5/12
Share of repeated answers containing each company; not market share.
03
What to change
Evidence-led priorities
Make the category explicit, then prove the fit.
These are content and evidence priorities suggested by the observed answer patterns—not a promise of ranking or model behavior.
Lead with the buyer’s category language.
Describe Falkenwerk consistently as an industrial refrigeration engineering and service provider for food production—not only as a “systems partner.”
Priority · NowTurn project references into usable evidence.
Publish refrigerant, capacity, temperature range, heat-recovery outcome, customer type, region, and service scope where disclosure permits.
Priority · NextClarify where and how Falkenwerk can engage.
State coverage area, retrofit and new-build capabilities, maintenance response model, and the first step for technical evaluation.
Priority · NextMethod note
One answer is an anecdote.
Repeated answers reveal a pattern.
This sample uses eight controlled questions across discovery, validation, and decision stages. Each question is repeated three times on four AI platforms. The 34 visibility score is the rounded mean of unbranded discovery (29) and decision-stage fit (38). Scores summarize observable mention and prominence. They do not measure sentiment or claim to represent a platform’s “opinion.”
Falkenwerk Process Cooling and its results are fictional. The company profile, buyer language, technology, and response pattern are a composite shaped around real industrial-refrigeration market conventions. Named third-party companies are shown only to make the example legible.