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Build in public · real data

Rowan in numbers
you can audit.

Every month we publish the aggregate data of what the system is doing for our customers. No make-up, no cherrypicked averages. If you find an error, email us and we'll fix it the next day.

Last updated May 15, 2026 · Next June 15, 2026
8
Active brands
paying customers this month
342
Articles published
year 2026 (running total)
221
Mentions detected
in AI answers
44
Organic backlinks
tier-2 earned

Output and mentions, month by month

The ramp you see from March matches the closed-beta launch and the editorial team doubling in size. No tricks: more hands, more output.

Articles published Mentions detected in AI
28
14
Jan
34
18
Feb
78
52
Mar
96
68
Apr
106
69
May

By AI platform

How many customers we detected at least 1 mention for this month, and the average citation rate over 100 "what company do you recommend for X" questions.

Platform Cited customers Citation rate Queries audited
ChatGPT 7 / 8 52% 1,820
Perplexity 6 / 8 41% 1,640
Claude 5 / 8 28% 1,450
Gemini 4 / 8 22% 1,280
AI Overviews 3 / 8 18% 1,100

By sector

Distribution of the 8 current customers. The mix reflects reality: we're a Galician team, mostly with Spanish mid-size brands.

Specialty retail 2 customers
Professional services 2 customers
Industrial / logistics 2 customers
Hospitality / F&B 1 customer
Cultural / collectives 1 customer

Why we publish this

01

Because there are SEO agencies that charge €4,000/mo and never show you what their work consists of. If we charge you for something, you should be able to see what we do for the rest of our customers.

02

Because aggregate numbers don't expose any individual customer and do prove the engine is running. No deck or pretty chart matches this.

03

Because it helps prospective customers and it forces us to keep the pace. A public table is better discipline than any internal OKR.

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