Overview Leaderboard Methodology
Industry Report

Commercial Property Management Software

Software designed for managing commercial real estate portfolios, including lease administration, CAM reconciliation, tenant invoicing, and facilities management.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
MRI Software
65/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Yardi Voyager
73

Highest score on the LBA metric.

Authority Leader?
MRI Software
42

Highest score on the Authority metric.

TOM Leader?
MRI Software
99

Highest score on the TOM metric.

Commercial Property Management Software has no dominant brand in AI responses

MRI Software is the top-ranked brand here, but its overall score of 65 reflects a competitive field rather than a dominant player. AI assistants answer category questions about Commercial Property Management Software 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 38 Commercial Property Management Software 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
MRI Software
mrisoftware.com
 66
42
99
65
2
Yardi Voyager
yardi.com
 73
42
54
55
3
RealPage
realpage.com
 64
26
71
49
4
AppFolio
appfolio.com
 70
20
38
38
5
Buildium
buildium.com
 65
15
29
30
6
VTS
vts.com
 58
3
42
19
7
DoorLoop
doorloop.com
 53
7
14
17
8
Building Engines
buildingengines.com
 59
4
19
16
9
Entrata
entrata.com
 53
3
28
16
10
Visual Lease
visuallease.com
 67
2
24
16
11
Juniper Square
junipersquare.com
 62
2
20
14
12
UpKeep
upkeep.com
 59
5
6
12
13
LeaseQuery
leasequery.com
 49
1
16
10
14
Re-Leased
re-leased.com
 54
0
3
3
15
ARGUS Enterprise
altusgroup.com
 64
0
9
2
16
AvidXchange
avidxchange.com
 69
0
6
2
17
IBM
ibm.com
 60
0
10
2
18
Procore
procore.com
 64
0
10
2
19
Tango
tangoanalytics.com
 38
0
9
2
20
Accruent
accruent.com
 57
0
2
1
21
Archibus
archibus.com
 65
0
1
1
22
Corrigo
corrigo.com
 42
0
1
1
23
FM:Systems
fmsystems.com
 64
0
3
1
24
Leasecake
leasecake.com
 33
0
4
1
25
Lucernex
lucernex.com
 21
0
5
1
26
Nakisa
nakisa.com
 42
0
0
1
27
P
ProLease
prolease.com
 5
4
0
1
28
Rent Manager
rentmanager.com
 54
0
2
1
29
AMTdirect
amtdirect.com
 35
0
0
0
30
Axxerion
axxerion.com
 38
0
0
0
31
CommercialEdge
commercialedge.com
 33
0
0
0
32
ePACS
epacs.com
 11
0
0
0
33
I
iOFFICE
iofficecorp.com
 46
0
0
0
34
M
MCS Solutions
mcs.solutions
 17
0
0
0
35
Planon
planonsoftware.com
 63
0
0
0
36
Property Matrix
propertymatrix.com
 39
0
0
0
37
Spacewell
spacewell.com
 54
0
0
0
38
UnitConnect
unitconnect.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Commercial Property Management 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
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 293 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 →