HR AI Index
Index Vendors › Toggl Track · September 2026 Edition
Toggl · 1 category · Ranked

Toggl Track

32Judge labels
10First choices
1Negative labels
10 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
10% in Time and attendance for mid-market buyers
Rank 5 of 90 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 0% of its 10 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In time and attendance · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Toggl Track for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Time and attendanceCore HR and payroll10%5 of 900%10accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Toggl Track yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Toggl Track across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini10001
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.1 Fast11002
Mistral Small00000
DeepSeek V4 Flash10102
Llama 4 Maverick00000
Qwen 3.7 Flash10001
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.510102

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct6 labels2
Paraphrase19 labels8
Comparative2 labelsNone
Budget-constrained3 labelsNone
Scale-constrained1 labelNone
Negative1 labelNone
First choiceAlternativeMentionNegative32 labels in all, every segment counted; 10 of the 10 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“The Best All-Rounder: Toggl Track ... Toggl Track is the industry leader for a reason.” Qwen 3.7 Flash · Time and attendance · paraphrase prompt · first choice
“I'd recommend Toggl Track as the top choice for employee time tracking software” Grok 4.1 Fast · Time and attendance · paraphrase prompt · first choice
“For most mid-sized B2B companies, I'd pick Toggl Track first” GPT-5.4 mini · Time and attendance · paraphrase prompt · first choice
“My Top Recommendation: Toggl Track” DeepSeek V4 Flash · Time and attendance · paraphrase prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Toggl Track, over the 32 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Toggl Track was named but was not.
ProductSame answerTook the first choice insteadHead to head
Clockify24 of 324Not in the top three
Harvest15 of 326Not in the top three
QuickBooks Time15 of 322Not in the top three
Hubstaff13 of 320Not in the top three
Connecteam6 of 321Not in the top three
Homebase6 of 321Not in the top three
Jibble5 of 322Not in the top three
Rippling4 of 322Not in the top three
ADP Workforce Now4 of 321Not in the top three
Deputy4 of 321Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Toggl Track. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 22 of the 32 answers that named Toggl Track and are not a share of its labels.

Domains cited

forbes.com16
toggl.comYour site14
myhours.com10
capterra.com9
thedigitalprojectmanager.com9
learn.g2.com8
peoplemanagingpeople.com8
selectsoftwarereviews.com8
clockify.me7
g2.com7

Eighty-two of the ninety-six domain citations in answers naming Toggl Track came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Toggl Track

What the judge wrote, as written, with how often. The vendor table decides that these count as Toggl Track; a claim can dispute any of them.
Clockify / Toggl 1
Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Toggl Track's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Toggl Track, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at toggl.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

Subscribe to the pack