Overview Leaderboard Methodology
Industry Report

Cloud Bookkeeping Services

Service-oriented cloud platforms combining automated bookkeeping software with human bookkeepers to maintain journals, reconciliations, and periodic financial statements for SMBs.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Xero
61/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Xero
84

Highest score on the LBA metric.

Authority Leader?
Xero
56

Highest score on the Authority metric.

TOM Leader?
Bench
84

Highest score on the TOM metric.

Cloud Bookkeeping Services has no dominant brand in AI responses

Xero is the top-ranked brand here, but its overall score of 61 reflects a competitive field rather than a dominant player. AI assistants answer category questions about Cloud Bookkeeping Services with varied recommendations from query to query - users get a different set of suggestions each time. This is the kind of category where mid-tier brands still have room to move up.

Brand Leaderboard All 37 Cloud Bookkeeping Services brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Xero
xero.com
 84
56
48
61
2
Bench
bench.co
 66
38
84
60
3
Pilot
pilot.com
 71
42
70
59
4
Bookkeeper360
bookkeeper360.com
 52
30
69
47
5
Wave
waveapps.com
 71
29
42
44
6
QuickBooks Live
intuit.com
 75
18
45
40
7
FreshBooks
freshbooks.com
 73
10
37
29
8
Zoho
zoho.com
 80
7
33
26
9
Xendoo
xendoo.com
 32
4
20
13
10
Merritt Bookkeeping
merrittbookkeeping.com
 7
1
23
5
11
Bookkeeper.com
bookkeeper.com
 33
0
3
3
12
1-800Accountant
1800accountant.com
 52
0
15
2
13
inDinero
indinero.com
 55
0
17
2
14
Acuity
acuity.co
 10
0
2
1
15
Botkeeper
botkeeper.com
 62
0
5
1
16
decimal
decimal.com
 22
0
1
1
17
Dext
dext.com
 80
1
0
1
18
Ignite Spot
ignitespot.com
 15
0
6
1
19
Supporting Strategies
supportingstrategies.com
 41
0
0
1
20
Accountfully
accountfully.com
 27
0
0
0
21
AccountingDepartment.com
accountingdepartment.com
 34
0
0
0
22
Bean Ninjas
beanninjas.com
 47
0
0
0
23
Binery
binery.co
 0
0
0
0
24
doola
doola.com
 52
0
0
0
25
eBetterBooks
ebetterbooks.com
 12
0
0
0
26
Enkel
enkel.ca
 12
0
0
0
27
Escalon
escalon.services
 12
0
0
0
28
Fincent
fincent.com
 24
0
0
0
29
Hubdoc
hubdoc.com
 64
0
0
0
30
KPMG Spark
kpmgspark.com
 44
0
0
0
31
LedgersOnline
ledgersonline.com
 0
0
0
0
32
M
Mazuma
mazumausa.com
 23
0
0
0
33
Osome
osome.com
 32
0
0
0
34
Outbooks
outbooks.com
 23
0
0
0
35
Reconciled
reconciled.com
 10
0
0
0
36
Sage CRM
sage.com
 57
0
0
0
37
Sleek
sleek.com
 17
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Cloud Bookkeeping Services 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
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
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 →