Top Accelerators in Canada, According to ChatGPT, Perplexity and Google AI (2026 Study)

Study date: October 30, 2026

Ask AI for the top accelerators in Canada and five names come back again and again: Velocity, L-SPARK, Creative Destruction Lab (CDL), Centech and Next Canada. Together they took 231 of the 289 counted mentions (80%) across 76 answers from ChatGPT, Perplexity and Google AI Overview.

We asked the three engines the same 25 unbranded questions about Canadian startup accelerators on the morning of October 30, 2026, with the location set to Canada. Velocity was named most, with 63 mentions. CDL was named first in an answer more often than any other program, 20 times.

These numbers are what the AI engines returned. They are not Beket AI’s opinion or a ranking of accelerators. AI answers change over time, so read this as a snapshot.

Study detail	Value
Study date	October 30, 2026 (one morning run, 10:35 to 10:54 AM PT)
Location	Canada (national, not one city)
Language	English
Engines	ChatGPT, Perplexity, Google AI Overview
Questions	25 selected questions, plus 3 discovery prompts the audit added on its own
Answers recorded	76 (ChatGPT 28, Perplexity 28, Google AI Overview 20)
Sources cited	957
Names with 2+ mentions	16 (10 accelerator programs, 3 investment firms, 3 that are not accelerators)
Mentions of those names	289

Which accelerators does AI name most in Canada?

Velocity, the University of Waterloo’s incubator, led with 63 mentions. Ottawa’s L-SPARK was close behind with 56. Three of the top five are linked to universities: Velocity (Waterloo), CDL (founded at the University of Toronto) and Centech (École de technologie supérieure in Montreal).

Rank	Name	Mentions	Share of mentions	Times named first
1	Velocity	63	21.8%	5
2	L-SPARK	56	19.4%	7
3	Creative Destruction Lab (CDL)	45	15.6%	20
4	Centech	37	12.8%	2
5	Next Canada	30	10.4%	2
6	TandemLaunch	10	3.5%	0
7	Techstars	9	3.1%	0
8	The DMZ	7	2.4%	1
9	Antler Canada	3	1.0%	0
10	FounderFuel	2	0.7%	1
	6 other names (3 investment firms, 3 not accelerators)	27	9.3%	5
	All 16 names	289	100%	43

Source: Beket AI market audit, October 30, 2026. “Accelerator program” is our label. We kept investment firms and names that are not accelerators out of the top 10, but they are in the totals.

Mentions and “named first” tell different stories. CDL was third by mentions but was named first 20 times, more than the next four programs combined. When an engine put one program at the top of its answer, it was most often CDL.

The 6 other names had 27 mentions. Three were venture capital firms (11 mentions). The other three were not accelerators at all: a virtual data room software company, a coworking space and a cloud provider (16 mentions, all from Google AI Overview).

Which accelerator websites did AI cite most?

The engines cited 957 sources. The programs’ own websites led the list. Some programs were cited often but rarely counted as named.

Rank	Domain	Citations
1	creativedestructionlab.com	62
2	dmz.torontomu.ca	42
3	failory.com (startup resource site)	32
4	acceleratorcentre.com	26
5	uwaterloo.ca	25
6	entrepreneurs.utoronto.ca	24
7	foresightcac.com	22
8	communitech.ca	21
9	nextcanada.com	20
10	velocityincubator.com	20

Source: Beket AI market audit, October 30, 2026. Citations counted across all 76 answers.

The DMZ’s site at Toronto Metropolitan University was the second most cited domain, with 42 citations, but The DMZ had only 7 counted mentions, all from Google AI Overview. The Accelerator Centre (26), Foresight (22) and Communitech (21) were cited more than 20 times each but did not reach 2 counted mentions. Being cited as a source and being counted as named are not the same thing, as we explain in where your AI citations come from. Some of the gap may also come from how names are matched; see the limits below.

Did ChatGPT, Perplexity and Google AI Overview agree?

On the top two, mostly. Velocity and L-SPARK were in the top five on all three engines. Beyond that, the engines differed a lot.

	ChatGPT	Perplexity	Google AI Overview
Answers recorded	28	28	20
Selected questions answered	25 of 25	25 of 25	18 of 25
Sources cited	293	529	135
Answers with no cited source	2	0	1
Names with 2+ mentions	10	9	13
Mentions	171	50	68

Source: Beket AI market audit, October 30, 2026. Answers and sources from the answer log. Names and mentions from the market report’s per-engine split.

ChatGPT

• Velocity (37), L-SPARK (36), Centech (29), Next Canada (26), CDL (25); 5 other names had 18 mentions.

ChatGPT produced 171 of the 289 mentions (59%). Centech and Next Canada got most of their mentions here: 29 of Centech’s 37 and 26 of Next Canada’s 30.

Perplexity

• L-SPARK (14), Velocity (13), CDL (9), Centech (4); 5 other names had 2 mentions each.

Perplexity cited the most sources, 18.9 per answer, but had the fewest counted mentions, 50. It was the only engine with L-SPARK in first place.

Google AI Overview

• Velocity (13), CDL (11), The DMZ (7), L-SPARK (6), Techstars (5); 8 other names had 26 mentions.

Google showed an AI Overview for 18 of the 25 selected questions. There was none for “top startup accelerators in Canada”, the Montreal and Calgary questions, or the cleantech, healthtech, deep tech and women founders questions. Google’s overviews were the only answers that counted The DMZ, and they also produced all 16 mentions of the names that are not accelerators. Our post on what share of Google searches show AI Overviews covers how often they appear.

What does this mean for accelerators and startups?

For founders, AI answers lean heavily on a short list. Five programs took 80% of the counted mentions. Programs that were often cited but rarely named, such as Communitech, Foresight and the Accelerator Centre, may simply not show up when a founder asks a chatbot. AI answers are a starting point, not a replacement for checking a program’s terms, equity and cohort yourself.

For accelerators, the engines did not agree on who to name. Centech and Next Canada got most of their mentions from ChatGPT, and The DMZ only appeared in Google’s overviews. That is why one AI engine is not enough to judge where you stand. A program’s AI share of voice can look very different from one engine to the next.

How did we run the study?

We ran one Beket AI market audit on October 30, 2026. Answers were recorded between 10:35 and 10:54 AM PT. The location was set to Canada, and the language was English.

1. Questions. We wrote 25 questions about Canadian startup accelerators: national rankings, six cities, sectors, founder groups and funding. None named an accelerator.
2. Discovery prompts. The audit also added 3 longer prompts of its own, about university accelerators, deep tech in Ontario and B2B SaaS in Quebec. Their answers are included in every count, and we cannot separate them out.
3. Engines. ChatGPT and Perplexity answered all 28 prompts. Google AI Overview appeared for 18 of 25 selected questions and 2 of the 3 discovery prompts.
4. Mentions. A mention is an organization named in an answer. One answer can name the same program more than once, so mentions can be higher than the number of answers.
5. Threshold. Beket AI’s market report lists only names with at least 2 mentions. Anything named once is not counted here.
6. Labels. We labeled each of the 16 names as an accelerator or incubator program, an investment firm, or not an accelerator. Those labels are our judgment. The report listed a venture fund with DMZ in its name separately from The DMZ, and we kept them apart.

How far can you trust these numbers?

Treat them as one careful snapshot, not a verdict. Our note on why one AI check is only a snapshot explains why.

• One run on one morning. Answers can change by day, by wording and by user.
• Only names with 2 or more mentions are counted. Programs named once do not appear.
• The name counts look incomplete. Several programs whose websites were cited 20 or more times, such as Communitech, Foresight and the Accelerator Centre, did not reach 2 counted mentions. We can’t see the answer text in the data, so we can’t check whether they were named under other spellings. Treat the lower ranks with care.
• The 3 discovery prompts the audit added are in the counts. They lean toward university programs, Ontario deep tech and Quebec B2B SaaS.
• The labels (accelerator, investment firm, not an accelerator) are our judgment, not a field in the data.
• Beket AI’s data gives names and counts by engine, not by question. So we can’t say which question produced which name.
• Google AI Overview showed up for 18 of 25 questions, so its numbers rest on fewer answers.
• A mention says nothing about a program’s quality, funding terms or results. We did not rate or rank any accelerator ourselves.

What questions did we ask?

The 25 selected questions, asked on all three engines with the location set to Canada. None named an accelerator.

1. top 10 accelerators in Canada 2026
2. best fintech accelerator in Canada
3. best accelerators for B2B startups in Canada
4. best startup accelerators in Vancouver
5. top startup accelerators in Canada
6. best university startup accelerators in Canada
7. best accelerator for first-time founders in Canada
8. best startup accelerators in Montreal
9. best healthtech accelerator in Canada
10. best startup accelerators in Canada
11. best SaaS accelerator in Canada
12. best accelerators in Toronto
13. best startup accelerators in Calgary
14. best cleantech accelerator in Canada
15. best startup accelerators in Ottawa
16. best accelerators for women founders in Canada
17. most prestigious startup accelerator in Canada
18. best deep tech accelerator in Canada
19. best startup accelerators in Waterloo
20. best accelerators for immigrant founders in Canada
21. best accelerator for AI startups in Canada 2026
22. best agtech accelerator in Canada
23. Canadian accelerators that invest in pre-seed startups
24. equity-free startup accelerators in Canada
25. which Canadian accelerator gives the most funding

Discovery prompts the audit added on its own:

• “How do the leading Canadian university-linked accelerators compare in terms of equity taken and funding provided?”
• “I am building a deep tech startup in Ontario. Which accelerator programs should I apply to for scaling up?”
• “What are the best business accelerators in Quebec and Eastern Canada for B2B SaaS startups looking to raise a seed round?”

How can an accelerator check its own AI answers?

Beket AI runs the same kind of audit for a single organization. It asks unbranded questions like the ones above on ChatGPT, Perplexity and Google AI Overview, then shows which names come up, how often, on which engine and which sources were cited. Running it again on later days shows how the answers move.

Any business can run its own free check at https://beket.ai. The free Beket AI audit covers 25 prompts across 3 engines. An accelerator can also ask Beket AI for another run of this study.

About the author: Nur Rysbek is the CEO of Beket AI.