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AI workflows that scaled a school directory nationwide

Educalista went from local coverage to a nationwide school directory. asdloop built the AI systems behind three engines that made that possible: the data, the content, and the outreach and support.

Each workflow uses AI for the heavy lifting and keeps people where judgment matters: curators reviewed the data, outreach stayed personal, and every article was edited before it shipped.

13,000+School profiles structured
0 to 11k+Monthly organic visitors
100+Schools registered
~10%Conversion to paying customers
Build a similar growth engine See the three workflows
Client · Educalista · educalista.es
The pressure

Going national breaks a small team's manual workflows.

A local directory runs on manual effort and focused judgment. National coverage changes the shape of the work: thousands of schools to collect and keep accurate, far more pages to make genuinely useful, many more schools to reach and onboard, and a growing stream of reviews and support requests behind it all.

The team was small and wanted to stay that way. So the goal was not "add AI." It was to build the specific workflows that let a handful of people run a national directory without drowning in manual work. Three of them did most of the heavy lifting.

The system

Three AI workflows, feeding one growth loop.

Each engine fed the next. Better data made better pages. Better pages pulled traffic. Traffic fed a funnel that turned schools into paying customers, and support kept them.

01 / DATA SCRAPING & CURATION

13,000+ school profiles, built from scattered public sources

A national directory is only as good as its data. We built scrapers that pulled school records from many public sources, then an AI-assisted curation layer that cleaned, enriched, deduplicated and structured every profile: details, photos, location and contact data.

People stayed on the exceptions and sensitive checks. The output is a consistent, well-presented profile for schools across the country, not a thin data dump.

  • 13,000+ profiles
  • many public sources
  • structured + styled
Data workflowsources → profiles
School websites Official records Maps & photos AI CURATION clean · enrich dedupe · structure STRUCTURED PROFILES 13,000+ details · photos location · contact
02 / AUTOMATED CONTENT GENERATION

From zero to 11,000+ organic visitors a month

Parents search for real answers before they choose a school. We built a content engine that turns those questions into high-quality guides and articles for parents, drafted with AI and edited before publishing.

In a few months, organic traffic went from zero to over 11,000 visitors a month. Useful content, not SEO filler, is what pulled families into the directory.

  • 0 to 11k+ monthly visitors
  • guides for parents
  • AI draft + human edit
Content workflowquestions → traffic
AI CONTENT ENGINE topics → draft edit → publish 0 ORGANIC VISITORS / MONTH > 11,000 / mo a few months →
03 / OUTREACH, CONVERSION & SUPPORT

A funnel that turned schools into paying customers

Coverage and traffic mean nothing without schools on the platform. We built an outreach pipeline from cold email to Instagram to a nurtured lead funnel. It brought 100+ schools to register in a few months and converted roughly 10% of registered schools into paying customers.

After the sale, the same layer keeps working: a pipeline that collects real user reviews, plus support automation that tags and drafts answers to incoming requests, so a small team keeps customers happy at scale.

  • 100+ schools registered
  • ~10% conversion to paying
  • reviews + support automated
Outreach workflowcold contact → customer
Cold email Instagram DMs LEAD FUNNEL nurture → qualify 100+ registered ~10% → paying REVIEWS collected + shown SUPPORT tagged + answered Retention happy customers
The result

One connected growth engine, run by a small team.

Data, content and outreach were not three campaigns. They were one operating layer where each AI workflow fed the next, so a handful of people could run a national directory instead of a growing pile of manual work.

See it live: browse the 13,000+ profiles and the parent guides at educalista.es →

13,000+school profiles structured from scattered public sources
11k+/moorganic visitors, from zero in a few months
100+schools registered, ~10% converted to paying

How we helped We designed and built the scraping, AI curation, content, outreach, review and support workflows behind Educalista's national growth.

Similar growth problem?

If growth means more manual work than your team can absorb, these are the workflows we build.

Data, content, outreach, onboarding, reviews, support. The same pattern fits directories, marketplaces, listings and multi-location businesses, not just schools. We map where the manual load actually is, then build the AI workflows that carry it, with your people on the judgment calls.

Tell us your growth bottleneck Back to projects

How we start: a fixed, time-boxed first step scoped to one workflow, so you can size the work before committing. See how we work →