Overview Leaderboard Methodology
Industry Report

Cloud Database Platforms

Managed database services provided by cloud vendors that offer scalable, fully managed relational and NoSQL databases with integrated backups and monitoring.

Brands tracked: 29
Brands analyzed: 29
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 239
Total responses: 1,190
Top Brand Overall?
Google
78/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Google
100

Highest score on the LBA metric.

Authority Leader?
MongoDB
68

Highest score on the Authority metric.

TOM Leader?
Google
86

Highest score on the TOM metric.

Google leads the Cloud Database Platforms category in AI responses

Google is the most consistently-surfaced brand when users ask AI assistants about Cloud Database Platforms, but not to the point of monopolising the conversation. MongoDB and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 29 Cloud Database Platforms 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
Google
google.com
 100
54
86
78
2
MongoDB
mongodb.com
 90
68
59
71
3
Amazon
amazon.com
 90
41
79
66
4
Supabase
supabase.com
 77
38
40
49
5
Neon
neon.tech
 81
29
30
41
6
PlanetScale
planetscale.com
 79
15
22
30
7
CockroachDB
cockroachlabs.com
 82
5
40
25
8
Microsoft
microsoft.com
 89
2
19
15
9
Aiven
aiven.io
 73
2
5
9
10
Snowflake
snowflake.com
 95
0
46
4
11
Oracle
oracle.com
 81
0
12
2
12
Redis
redis.io
 85
0
12
2
13
YugabyteDB
yugabyte.com
 70
0
6
2
14
Couchbase
couchbase.com
 82
0
1
1
15
Crunchy Bridge
crunchydata.com
 57
0
2
1
16
DataStax
datastax.com
 84
0
1
1
17
DigitalOcean
digitalocean.com
 83
0
1
1
18
IBM
ibm.com
 88
0
3
1
19
Render
render.com
 60
0
1
1
20
Alibaba Cloud
alibabacloud.com
 69
0
0
0
21
ElephantSQL
elephantsql.com
 50
0
0
0
22
Heroku
heroku.com
 78
0
0
0
23
Memgraph
memgraph.com
 58
0
0
0
24
ScyllaDB
scylladb.com
 82
0
0
0
25
SingleStore
singlestore.com
 76
0
0
0
26
TencentDB
tencent.com
 67
0
0
0
27
TiDB
pingcap.com
 78
0
0
0
28
Timescale
timescale.com
 76
0
0
0
29
Turso
turso.tech
 67
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 239 shared Cloud Database Platforms 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 239 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 →