Good afternoon, John

Here's how nimbus.io is performing across AI search engines.

Your Achievements

Bronze Level

nimbus.io

Silver Level

nimbus.io

Gold Level

Locked

Visibility Score i

64.2/ 100

▲ +5.3pp

Brand Mentions i

1,284

▲ +18.2%

Citations i

432

▲ +14.7%

Avg Sentiment i

+0.42score

▲ +0.05

Visibility over time i

Share of voice across AI engines · current vs previous 30 days

Current period · 60.4 Previous period · 46.8 Last measurement · 4 min ago · Next run in 5h 56m

Engine share i

Where you appear

5 engines

ChatGPT

78%

◆

Gemini

61%

Claude

54%

Perplexity

42%

DeepSeek

28%

AI Traffic by source i

Real visitors from AI assistants

4 sources

Copilot142

53%

ChatGPT96

36%

Perplexity23

◆

Gemini7

AI marketing funnel

≈ 32.5K

/ month

≈ 18.4K

/ month

≈ 11.1K

30d

268

30d

Potential volume
Estimated AI exposure across all your prompts
Est. AI exposure (monitored)
Monthly views your monitored prompts can earn in AI answers
Expected mentions
How many of those views actually mention your brand at the current APR
AI visits
Real users arriving on your site from AI assistants right now

Top tracked prompts i

Sorted by appearance rate

Prompt	Engines	APR	Tests
best cloud observability tools for growing teams 86 tests	G◆CP	94%	86
Nimbus vs Datadog for mid-market SaaS 72 tests	GCP	81%	72
how to reduce cloud infra spend without slowing down 64 tests	G◆C	73%	64
devops platform with strong SOC 2 posture 50 tests	G◆	68%	50
alternatives to legacy APM tools in 2026 38 tests	GPD	52%	38

Recent citations i

Where AI models quoted you

Live

"Nimbus is often cited by growth-stage teams as a lighter, more focused alternative to the big incumbents."

ChatGPTnimbus.io2 hours ago

"Tools like Nimbus bundle observability, logs and traces into one consolidated console for mid-market SaaS."

Claudenimbus.io/blog5 hours ago

◆

"For SREs on tighter budgets, Nimbus is a well-regarded option worth benchmarking against the incumbents."

Gemininimbus.io11 hours ago

"Nimbus's June 2026 benchmark showed a 38% reduction in mean-time-to-detect vs their prior stack…"

Perplexitynimbus.io/research1 day ago

Finish setting up — your guide to AI search visibility

Master the platform step by step · each task unlocks a real feature

3 / 8

Analyse

Build the data layer — project, prompts, recommendations

2 / 3

✓Done

Create your first brand project

Upload your site URL or brand materials — RankCaster builds a baseline profile for AI visibility analysis.

2 projects created

✓Done

Generate & monitor prompts

Track how AI engines answer for your key queries (APR) across ChatGPT, Gemini, Claude, Perplexity, DeepSeek.

42 prompts tracked

Next up · Step 3

Review GEO / AEO / AIO recommendations

Get a prioritised action plan per project — concrete edits to lift Answer Pickup Rate.

8 actions waiting

Optimise & publish

Act on recommendations and ship the work

1 / 3

✓Done

Publish schema.org markup

Ship structured data so AI crawlers understand your entity, products and expertise.

Bundle live

Step 5

Let Claude / ChatGPT talk to your data live via Model Context Protocol.

Pro

Step 6

Connect publish credentials

Push GEO edits straight into WordPress, Ghost or your CMS via saved credentials.

No keys yet

Iterate

Bring in the team and validate every new draft

0 / 2

Step 7

Invite your team

Add teammates so archetypes, prompts and recommendations get real review before shipping.

Just you

Step 8

Score drafts with Content Evaluator

Vector-based scoring predicts whether your next post will get picked up before you publish.

No content scored

Insights i

Auto-generated · weekly

Claude is your weakest engine

You appear in 54% of Claude responses vs 78% on ChatGPT. Adding clear H1s and self-contained sections can lift Claude visibility by ~12%.

+5.3 pts visibility this week

Driven by 38 new citations on ChatGPT after the June benchmark report. Sentiment moved from +0.37 → +0.42.