Skip to content

Case study · SEO and GEO content platform

GeneratedA founder, a fractional CTO and one engineer launched Generated in two months, and it now serves more than a million pages a month

Generated writes and runs a company's blog by itself: it finds what people search for and ask AI assistants, writes articles tuned to those queries and prompts, translates and updates them, and publishes them on the customer's own domain. It is a hosted service for SEO and GEO: getting found in search and quoted in generative AI answers. The team was the founder, one engineer and me as fractional CTO and startup advisor. I designed the architecture, and we launched in two months. Generated now serves more than a million pages a month for its users.

Client
Generated
Product
A blog that writes itself, for SEO and GEO
Model
Hosted service, from $49 a month
Launch
Two months from the start
My role
Fractional CTO and startup advisor
Team
Founder, 1 engineer and me
Generated: the product

In numbers

pages served a month on our users' blogs
1M+
from the start to a launched product with paid plans
2 months
pages published from 12,197 articles, counted on October 7, 2026
100,488
languages the articles are written in
26
jobs behind a blog post done by Generated; a person only reads and says yes
12 of 13
people built it: the founder, one engineer and me
3

The product

The public site: the product in one line, the counters from its own database, one published article taken apart, and what search engines read on the same page. The article is a real page built by Generated for a demo company.

  • Our own blog is written and published by Generated: 12,197 articles, 100,488 pages, 26 languages and 21 sites, counted on October 7, 2026
  • One published article, taken apart: its own cover, an FAQ search engines can read and calls to action pointing at the company's pages
  • Search engines read every word: the page a reader sees beside its canonical address, hreflang links to every language, structured data and its sitemap entry
01

The starting point

A company blog brings search traffic only if it keeps going, and one post by hand is a dozen jobs: a topic people search for, research, writing, editing, a cover, an FAQ, translations, layout, the title and description, links, the sitemap and telling search engines. That is why most company blogs stop after the third post. Search itself is changing too: more and more questions are answered by generative AI, which quotes the pages written to answer them.

The founder wanted a hosted service that does all of it on its own, for classic search and for AI answers, SEO and GEO. I designed the architecture and owned the technical direction, and one engineer built it with me.

02

What we did

  1. Two months from the start to a live service

    I turned the idea into an architecture three people could build: the generation pipeline, the hosting, publishing and billing. Two months later Generated was a launched product with paid plans from $49 a month.

  2. Content tuned to the queries and prompts people really use

    Generated detects the keywords, the search queries and the questions people ask AI assistants in the customer's market, writes each article to answer them, and keeps adjusting to what users search for. One idea batch reads the customer's site and market and comes back with about fifty topics.

  3. The whole copywriting cycle, without a person

    Topic, research, a 1,500-word article, editing, a cover, an FAQ, calls to action pointing at the customer's own pages, translations, the title and description, internal links, the sitemap and a ping to search engines: Generated does twelve of the thirteen jobs behind a blog post. The person only reads and says yes, or lets it publish on its own. It also brings older articles up to date, in every language.

  4. Written to be read by search engines and AI

    Every blog is plain, fast HTML on the customer's own domain, with canonical addresses, hreflang links between the languages, structured data for the article, the FAQ and the breadcrumbs, a sitemap per language and IndexNow, so search engines hear about a page the moment it goes live. Search engines and AI answer engines both read these signals.

  5. A hosted service that serves a million pages a month

    Two DNS records and blog.yourcompany.com is live, in the customer's logo, colours and type taken from their own site, with no CMS or plugin to maintain. I designed the hosting so that pages keep serving even when the platform has a bad day, and it now serves more than a million pages a month for its users.

  6. Proven on our own sites first

    Before it was sold, Generated wrote the blogs of the team's own sites, and it still does: 12,197 articles and 100,488 pages in 26 languages as of October 7, 2026. The blog on this site is one of them: its articles come from Generated through the npm client and are rendered by this site's own Next.js.

03

The result

Three people launched Generated in two months, and it now serves more than a million pages a month: blogs that write themselves, in the customer's brand and in every language they sell in, tuned to what people search for and what they ask AI. A founder, one engineer and a fractional CTO built and run a hosted service that does work that usually takes a content team, developers and an SEO agency.

oleg.isSent on request

Full case · PDF

Generated

A founder, a fractional CTO and one engineer launched Generated in two months, and it now serves more than a million pages a month

  1. 01The architecture: the generation pipeline, hosting and publishing
  2. 02How keywords, search queries and AI prompts are found and targeted
  3. 03SEO and GEO: what every page carries for search engines and AI answers
  4. 04Serving a million pages a month on customers' own domains
  5. 05The two-month plan and how three people split the work
  6. 06The cost of a published page and how it falls with scale
Prepared by Oleg SotnikovPDF

The full Generated case

The public story stops here. The PDF has the rest: the architecture before and after, the migration plan, how the team works with AI agents, what it all costs to run and where the savings came from.

I send every case myself and use your email for nothing else.

More case studies

All case studies
01AulaHousing and utilities · KazakhstanFractional CTOThree releases a day instead of one in four months, 3 people doing the work of 16, and a cloud bill down 70%Aula is one app for apartment residents and the 109 companies that manage their buildings, with 247,000 accounts. As fractional CTO I rebuilt how the product is made and run: development and testing went from 16 people to 3, the servers from 18 to 3, the cloud bill fell by 70% and errors in the mobile app by 97%. A task now reaches production in a day instead of 2 to 3 weeks, and the product ships three times a day at 99.99% uptime, a pace most in-house teams never reach.Read the case study02detachboxCloud machines for AI coding agents · USA and worldwideFractional CTO and startup advisorA founder, a fractional CTO and one engineer took detachbox from an idea to a commercial product in three weeksdetachbox gives Claude Code, Codex and other CLI agents an always-on Linux box: the developer closes the laptop and the agent keeps working, on the Claude or Codex subscription the developer already pays for. We built it as founder → fractional CTO → engineer, with no team in between, and it went from the founder's idea to paid plans in three weeks. I own the architecture, the infrastructure, the code review and the technical direction, and we keep developing it. No subscription token or API key ever lands in a box, which makes detachbox one of the safest ways to run remote agents on your own subscription.Read the case study03LeadTrainCold email and outbound salesFractional CTO and startup advisorA team of three built LeadTrain, a cold email platform that now sends more than 20 million emails a monthLeadTrain runs cold outbound end to end: it finds the buyers, buys and configures the sending domains, creates and warms the mailboxes, gives every sender a profile and a site, sends multi-step campaigns and sorts every reply. As fractional CTO and startup advisor, I designed the whole architecture and built the product with two more people. It now sends more than 20 million emails a month and is built to keep deliverability above 60%.Read the case study

Want the next case study to be about your company?

In a 30-minute call we pick the first task to hand to AI and estimate what it will save you.

Book a callThe call is free, and you talk to me directly.