What does AI say about Canadian aluminum extrusion suppliers?
Dajcor Aluminum is named most, on 21.9 percent of 256 mentions, and the other 82 companies share the rest.
Asked who supplies, AI names a Canadian extruder on 42.1 percent of questions; asked how to decide, on 8.3 percent.
Figure 2No company owns the category: 83 companies were named across 256 mentions, and the leader took 21.9 percent.
Figure 1The most cited supplier site in the category, after the subject's own, is a Chinese extruder with 52 citations.
Figure 3Google AI Overview named the leading company in 15 percent of answers, against 36 for ChatGPT and 39 for Perplexity.
Figure 4Four directory sites carry 117 citations, more than three times the most cited Canadian extruder's own domain at 37.
Figure 3
Which aluminum extrusion companies does AI name most often?
Dajcor Aluminum, on 21.9 percent of 256 mentions, then Can Art at 7.4 and Hydro at 7.0. Eighty-three companies were named in total.
Forty-three of the 50 questions describe a need and leave the engine to choose who to name. Across those the three engines produced 256 company mentions spread over 83 companies, and the leader holds 21.9 percent of them while being absent from 21 of the 43 questions.
Can Art and Hydro follow at 7.4 and 7.0 percent, and below them the list falls into single mentions. Eight of the ten most named companies are Canadian, so on questions of this shape the engines do reach for local suppliers.
The full ranking
No company holds more than 22 percent of the mentions, and 83 are named
- 01Dajcor Aluminum21.9%
- 02Can Art7.4%
- 03Hydro7.0%
- 04Apex Aluminum Extrusions4.3%
- 05Spectra Aluminum Products2.3%
- 06Macfab ManufacturingCNC SHOP2.3%
- 07APEL Extrusions2.0%
- 08Bonnell Aluminum2.0%
- 09Signature Aluminum Canada1.6%
- 10MAP Inc.DISTRIBUTOR1.6%
Data behind Figure 1
Share of the 256 company mentions across the 43 questions that name no company. The Prompt Group, 29 September 2026.
Dajcor Aluminum leads and is still absent from 21 of those 43 questions. Origin is our classification, made by opening each company's own site; where a site did not state a head office we left it unconfirmed rather than guess.
| Name | Value | Mentions | Questions naming it | Legal name |
|---|---|---|---|---|
| Dajcor Aluminum | 21.9% | 56 of 256 | 22 of 43 | |
| Can Art | 7.4% | 19 of 256 | ||
| Hydro | 7.0% | 18 of 256 | Norsk Hydro ASA | |
| Apex Aluminum Extrusions | 4.3% | 11 of 256 | ||
| Spectra Aluminum Products | 2.3% | 6 of 256 | ||
| Macfab Manufacturing | 2.3% | 6 of 256 | ||
| APEL Extrusions | 2.0% | 5 of 256 | ||
| Bonnell Aluminum | 2.0% | 5 of 256 | ||
| Signature Aluminum Canada | 1.6% | 4 of 256 | ||
| MAP Inc. | 1.6% | 4 of 256 |
Two names in the top ten do not extrude anything. MAP Inc. in Waterloo distributes MayTec t-slot framing and Macfab in Mississauga is a CNC machine shop; both supply aluminum parts and neither runs a press.
The questions do not separate extrusion from machining or framing, and the answers do not either, so a buyer building a shortlist from them would be comparing three different kinds of supplier.
Why does AI stop naming Canadian extruders on technical questions?
Because those answers are assembled from technical explanations rather than supplier lists, and Canadian extruders published very little of that explanation.
Splitting the 43 unbranded questions on their first word divides them almost evenly, and the two halves behave nothing alike. Seventeen open with who, where or which, ask for a supplier, and return a Canadian extruder on 42.1 percent of them, with an absence on only two.
Twenty-six open with how, why, what, can or does. These are the questions a buyer asks before shortlisting anyone: whether anodizing is worth paying for, what drives lead time, whether an extrusion can replace a steel part. Mean visibility across them is 8.3 percent, with no Canadian extruder at all in nineteen of the twenty-six.
By question type
Asked for a supplier the industry answers. Asked for advice it disappears
- Who, where or which42.1%
- How, why, what, can or does8.3%
Data behind Figure 2
Mean visibility across the two runs, split on the question's first word. The Prompt Group, 29 September 2026.
Who, where and which are asking for a supplier. How, why, what, can and does are asking how to decide. The split is ours, made on the first word alone so anyone can reproduce it.
| Name | Value | Questions | Absent from |
|---|---|---|---|
| Who, where or which | 42.1% | 17 | 2 of 17 |
| How, why, what, can or does | 8.3% | 26 | 19 of 26 |
The gap is five to one, and on nineteen of those twenty-six questions there is no position to improve, only an absence. Somebody else is answering them.
The split is made on the first word alone so anyone can reproduce it. It is a proxy for intent rather than a measure of it, and a coded intent taxonomy could place some questions differently.
Which websites does AI cite when answering about aluminum extrusion?
Supplier guides, directories and social pages. The most cited supplier site in the category, after the subject's own, belongs to a Chinese extruder.
The 300 answers carried 2,512 citations across 916 domains. Setting the subject's own site aside, shengxinaluminium.com is the most cited supplier domain at 52 citations from all three engines, and it belongs to Anhui Shengxin Aluminum in Anhui Province, China. Its pages carry titles such as Anodized Aluminum Extrusion: Why Your Alloy Choice Makes Or Breaks The Finish, which answers the question a Canadian engineer typed.
Directories carry another large block: iqsdirectory.com, ensun.io, thomasnet.com and alibaba.com together hold 117 citations, more than three times canart.com at 37.
Most cited domains
The most cited supplier site in the category is a Chinese extruder
- 01linkedin.com62
- 02shengxinaluminium.com52
- 03canada.ca45
- 04iqsdirectory.com45
- 05ensun.io41
- 06google.com40
- 07canart.com37
- 08hydro.com36
- 09apexextrusions.ca30
- 10aec.org27
- 11facebook.com25
- 12thomasnet.com16
- 13alibaba.com15
- 14yjing-extrusion.com15
Data behind Figure 3
Citations by source domain across all 300 answers. The Prompt Group, 29 September 2026.
The subject's own site is left out: seven questions name it, which guarantees it citations and would put it off the scale at 267. Anhui Shengxin publishes guides on anodizing, alloys and finishing, the kind of page these answers reach for.
| Domain | Value | Pages cited | Company | Body |
|---|---|---|---|---|
| linkedin.com | 62 | 33 | ||
| shengxinaluminium.com | 52 | 26 | Anhui Shengxin Aluminum, China | |
| canada.ca | 45 | 43 | ||
| iqsdirectory.com | 45 | 23 | ||
| ensun.io | 41 | 20 | ||
| google.com | 40 | 36 | ||
| canart.com | 37 | 15 | ||
| hydro.com | 36 | 30 | ||
| apexextrusions.ca | 30 | 13 | ||
| aec.org | 27 | 21 | Aluminum Extruders Council | |
| facebook.com | 25 | 21 | ||
| thomasnet.com | 16 | 12 | ||
| alibaba.com | 15 | 14 | ||
| yjing-extrusion.com | 15 | 7 | Foshan Yejing Machinery, China |
The engines are reaching for explanation rather than for suppliers, and whoever published the explanation is cited. yjing-extrusion.com, which sells extrusion presses rather than extrusions, is cited 15 times as evidence about buying them.
One question shows the instability directly. Asked why anodizing improves an extrusion's performance, one run cited ten sources with no Canadian company among them, and a second run six minutes later cited the Aluminum Anodizers Council, AluQuebec, Apex Extrusions and Can Art.
Do ChatGPT, Perplexity and Google AI Overview name the same aluminum extruders?
No. On identical questions collected on the same day, Google AI Overview named the leading company in 15 percent of answers against 36 for ChatGPT and 39 for Perplexity.
Google AI Overview answered less rather than differently. It produced 259 citations against 447 and 497 for the other two engines, and frequently returned a general explanation with no supplier named at all.
The seven questions that name the company lift all three engines equally, so the level is flattered and the gap between engines is not.
Engine by engine
Google AI Overview names the company less than half as often as the other two
- 39%Perplexity
- 36%ChatGPT
- 15%Google AI Overview
Data behind Figure 4
How often each engine named Dajcor Aluminum, across all 50 questions and both runs. The Prompt Group, 29 September 2026.
The seven questions that name the company lift all three engines equally, so the level is flattered and the gap between engines is not.
| Name | Value | Answers | Citations |
|---|---|---|---|
| Perplexity | 39% | 100 | 497 |
| ChatGPT | 36% | 100 | 447 |
| Google AI Overview | 15% | 100 | 259 |
That makes the three engines three separate channels for a manufacturer. A page built for Perplexity's appetite for citable technical detail does not automatically earn a place in an AI Overview, which draws on a narrower set of sources.
The difference here is in how often an answer names anyone at all rather than in who it names, which is a different problem from the rank reversals seen in other categories.
How can an aluminum extruder get named in AI answers?
Publish the technical explanation the pre-shortlist questions are assembled from, and say on the page where the plant is.
The category is lost before the shortlist. A Canadian extruder appears on 42.1 percent of questions asking who supplies and 8.3 percent of questions asking how to decide. On nineteen of the twenty-six technical questions none appears at all, so there is no position to improve.
Publish explanations, not capability lists. The most cited supplier domain after the subject's own belongs to a Chinese extruder publishing technical guides on anodizing, alloys and finishing. The engines cited it 52 times for explanation, not as a supplier.
Directories hold more of the evidence layer. iqsdirectory.com, ensun.io, thomasnet.com and alibaba.com together carry 117 citations against 37 for canart.com, the most cited Canadian extruder's own site.
Say on the page where the plant is. Only 2 of the 43 unbranded questions mention Canada, and eight of the ten most named companies are Canadian anyway. The pages cited to support those names largely are not.
How was this aluminum extrusion benchmark measured?
50 questions about custom aluminum extrusion, 43 of which name no company, put to ChatGPT, Perplexity and Google AI Overview twice each for a Canadian location, giving 300 answers.
What we asked, word for word6 of the panel
- What aluminum extrusion capabilities do top Canadian manufacturers offer
- Who can fabricate and finish my aluminum extrusions in one place
- What is the typical lead time for custom aluminum extrusions
- Why would anodizing improve my aluminum extrusion performance
- How do extrusion costs compare across different manufacturers
- Can aluminum extrusions replace steel in automotive parts
- The panel
- Fifty questions about custom aluminum extrusion, anodizing, CNC machining, finishing and design support, put to ChatGPT, Perplexity and Google AI Overview. Each question was run twice on each engine, producing 300 answers. All answers were collected for a Canadian location.
- Branded and unbranded
- Seven of the 50 questions name Dajcor Aluminum in their text. The other 43 do not. We classify by reading the question text, not by the flag that ships with the question set: that flag marks six of the seven, and misses Does Dajcor offer design support for my extrusion project. Every category figure here uses the 43 unbranded questions only, and says so.
- Share of company mentions
- Every time an answer names a company, that is one mention. Share is a company's mentions as a percentage of all 256 mentions collected on the 43 unbranded questions. It measures how much of the conversation a name takes, not how many buyers would choose it.
- Visibility
- The percentage of answers to a given question that name the company in question. A question scores zero when no answer to it named that company in either run.
- Sources and citations
- A citation is one reference to one URL inside one answer. Domains are counted across all 300 answers, including the seven branded questions, which is why the subject's own domain is excluded from the source figure rather than shown at the top of it.
- Identifying companies
- Company websites were confirmed by opening them, not by taking the domain attached to the name in the data. That mattered: the roster in the source data lists Spectra Aluminum Products against a data broker's domain and MAP Inc. against a mapping software company. Where a head office could not be confirmed on the company's own site, the company is marked as origin not confirmed rather than assigned a country.
- Two runs
- Each question was run twice, a few minutes apart. That is enough to show run to run instability and not enough to average it away. Where the two runs disagree, the report says so rather than reporting the mean as settled.
- Limitations
- This is one collection day and two runs, which is a snapshot and not a trend. Answer engines vary run to run, and this set shows it plainly. The same anodizing question on the same engine, six minutes apart, returned two entirely different source lists: one with no Canadian company in it, and one built on Canadian institutions. Treat the ordering below about 3 percent as unstable. The question set was built around one manufacturer's capabilities, so it over-represents design support, one-stop fabrication and anodizing relative to the category as a whole. A company strong in those areas will look better here than a broader question set would show. Share of mentions measures presence in answers, not market share, revenue or quality. Nothing here says which supplier a buyer should choose.
Cite this report
Sopov, A. (2026). The Prompt Group Research. https://thepromptgroup.com/research/aluminum-extruders/ca
Figures and data are free to reuse with attribution under CC BY 4.0. Every chart is available as a PNG carrying its source line, and every dataset as CSV and JSON.
Frequently asked questions about AI and aluminum extrusion suppliers
Which aluminum extrusion supplier does AI recommend in Canada?
There is no single answer. Across 43 questions that named no company, the three engines named 83 different companies. Dajcor Aluminum was named most often, taking 21.9 percent of all company mentions, but it was absent from 21 of those 43 questions. Can Art and Hydro follow at 7.4 and 7.0 percent.
Is Dajcor Aluminum the biggest aluminum extruder in Canada?
No. This measures how often a company is named in AI answers, not its size, revenue or share of the market. It also uses a question set built around one manufacturer's capabilities, which flatters companies strong in those areas. Read it as visibility in answers and nothing else.
Why does AI not name Canadian aluminum suppliers on technical questions?
Because those answers are assembled from technical explanations rather than supplier listings, and most of that explanation was published by somebody else. The single most cited supplier site in this set, after the subject's own, is a Chinese extruder that publishes detailed guides on anodizing, alloy choice and finishing.
Why does AI cite Chinese aluminum suppliers?
Nothing in this data speaks to price. The Chinese domains here are cited as explanations, not as quotes. One of them, Foshan Yejing Machinery, sells extrusion presses rather than extrusions, and is still cited as evidence in answers about buying extrusions.
Why does Google AI Overview name so few aluminum companies?
It answered less. Across the same 100 questions it produced 259 citations to Perplexity's 497 and ChatGPT's 447, and frequently returned a general explanation with no supplier named at all. That is a different behaviour from disagreeing about which supplier is best.
Does AI give the same answer every time you ask?
Yes, and materially. Each question here was run twice. On one anodizing question, six minutes apart on the same engine, the first run cited ten sources with no Canadian company among them and the second cited the Aluminum Anodizers Council, AluQuebec, Apex Extrusions and Can Art. Any single reading of an AI answer should be treated as one sample.
How do I get my company named in AI answers?
On the evidence here, by publishing the explanation rather than the capability. The questions the industry is absent from are the ones asking how to decide, and they are answered from technical guides. Stating location and certifications explicitly also matters, because only 2 of 43 questions said Canada and the engines otherwise reached outside it.

