Put the product in front of buyers ready to act and turn that demand into recurring revenue.

01 / The objective

The starting point

A good product that solves a real problem, but that nobody could find. The site did what most founders do at the start: a few blog posts, a few SEO "hacks", and a lot of waiting for word of mouth. Technically, the foundations were fragile: 23 issues found in the crawl, including broken internal links and slow pages.

02 / What we did

The decisions that made a difference

1. 01

   Technical foundations

   Screaming Frog crawl (23 issues fixed), Core Web Vitals (LCP under 2.5 s), unique meta titles, sitemap, 7 broken internal links repaired.

2. 02

   Keywords from real users

   onboarding surveys revealed distinct personas (TikTok creators, UGC creators, trainers, e-merchants). One page per persona rather than one generic page.

3. 03

   15 bottom-of-funnel pages

   in this order: alternative pages, comparisons, use cases, features, audiences, tools.

4. 04

   Standing out for Google and AI

   prices in title tags, the founder's story, FAQs drawn from Reddit objections, a video of the real onboarding.

5. 05

   Product-led SEO

   the tool built into the pages, to test a video without signing up. This beat every CTA tested.

6. 06

   Structure for AI

   FAQ and review structured data, answers of 30 to 60 words, clear decision criteria.

7. 07

   Internal linking and refresh

   of the best pages every 3 weeks, with a single metric tracked: signups per page.

03 / Results

The key results

In 3 months, MRR went from $400 to $3,600 (x9) and traffic from 200 to 2,400 visits a month (x12). The alternative pages alone brought 30% of the new traffic, all in the top 10, most in the top 3. The CTR of the main pages doubled, from 5% to 10%.

Historical project results. The scope and period are stated for each metric.