Overview Leaderboard Methodology
Industry Report

Team Time Tracking Software

Applications that track employee or project time, produce timesheets, and integrate time data with billing and payroll.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Toggl Track
91/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Toggl Track
85

Highest score on the LBA metric in this industry.

Authority Leader?
Toggl Track
93

Highest score on the Authority metric in this industry.

TOM Leader?
Harvest
96

Highest score on the TOM metric in this industry.

Toggl Track is the default answer in AI responses for Team Time Tracking Software

When users ask ChatGPT, Claude, or Gemini about Team Time Tracking Software, Toggl Track is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Clockify is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 37 Team Time Tracking Software brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Toggl Track
toggl.com
 85
93
94
91
2
Clockify
clockify.me
 71
82
90
80
3
Harvest
getharvest.com
 81
63
96
79
4
Hubstaff
hubstaff.com
 67
26
72
51
5
QuickBooks Time
quickbooks.com
 78
19
74
49
6
Time Doctor
timedoctor.com
 63
6
35
26
7
Deputy
deputy.com
 75
8
16
23
8
ClickUp
clickup.com
 79
8
14
22
9
RescueTime
rescuetime.com
 78
8
13
22
10
Monday CRM
monday.com
 52
5
24
21
11
Asana
asana.com
 85
9
9
20
12
Replicon
replicon.com
 61
6
17
20
13
Connecteam
connecteam.com
 79
8
8
19
14
FreshBooks
freshbooks.com
 80
8
8
19
15
Rippling
rippling.com
 72
7
7
18
16
ClockShark
clockshark.com
 60
10
6
17
17
Timely
gettimely.com
 68
7
7
17
18
When I Work
wheniwork.com
 68
7
7
17
19
Buddy Punch
buddypunch.com
 64
6
6
16
20
Paymo
paymoapp.com
 58
6
8
16
21
ClickTime
clicktime.com
 60
6
6
15
22
Everhour
everhour.com
 63
6
6
15
23
Homebase
joinhomebase.com
 59
6
7
15
24
Jibble
jibble.io
 60
6
6
15
25
Kimai
kimai.org
 61
6
6
15
26
TimeCamp
timecamp.com
 61
6
6
15
27
actiTIME
actitime.com
 56
6
6
14
28
DeskTime
desktime.com
 58
6
6
14
29
My Hours
myhours.com
 53
5
6
14
30
TimeClock Plus
timeclockplus.com
 57
6
6
14
31
OnTheClock
ontheclock.com
 48
5
5
12
32
TrackingTime
trackingtime.co
 47
5
5
12
33
Tick
tickspot.com
 41
4
4
11
34
Monitask
monitask.com
 39
4
4
10
35
Timeero
timeero.com
 37
4
4
10
36
TimeTac
timetac.com
 38
4
4
10
37
Beebole
beebole.com
 33
3
3
9

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Team Time Tracking Software prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 287 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →