Frías y Pado

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From a blank domain to 45 / 100: a truck-rental brand AI can cite

Frías y Pado is a road-freight operator in Spain running a small, mixed-load truck fleet (1.500 kg–40 TN), part of Grup Fusió. There was no website at all — the true zero for AI visibility. We built the site from scratch, then engineered it to be citable by AI assistants: a stable LocalBusiness entity, a complete service catalog in schema, word-for-word FAQ parity, and the factual-density fixes the Citable audit flagged. The Citable Checker score has climbed from 10 to 45 / 100 as the new entity gets discovered.

Web Development GEO Foundations Schema markup Technical SEO

At a glance · Before / after

Citable Checker score

10 / 100 · Invisible 45 / 100 · Citation gaps

greenfield build

Website

No site Designed + built from scratch

Launched Apr 2026

Analytics & Search

None GA4 + Google Search Console live

Story overview

Frías y Pado, a Spanish road-freight operator (fleet 1.500 kg–40 TN, part of Grup Fusió), started from no website at all. We designed and built the site, stood up GA4 + Google Search Console, and made the business a citable entity: a stable LocalBusiness @id, contactPoint, memberOf → Grup Fusió, knowsAbout across six service areas, a completed 6-service catalog, and FAQ schema that matches the visible answers word-for-word. The Citable Checker score has already moved from 10 to 45 / 100 (Invisible → Citation gaps) as engines discover the new entity, with more to come.

The starting position

Frías y Pado is a road-freight operator in Spain running a small, mixed-load truck fleet — from 1.500 kg vans up to 40-tonne articulated trucks, with urgent 24/365 availability and sub-one-hour quotes. The brand is part of Grup Fusió. When the engagement started there was no website at all — which, for AI visibility, is the true zero: nothing to crawl, no entity to resolve, no way to be cited.

What we did

1 — Built the site from scratch. Full design and implementation, then the measurement layer: GA4 and Google Search Console.

2 — Keyword + competitive groundwork. Region-specific keyword selection for truck-rental intent, and a competitive analysis mapped to a small fleet spanning different load classes — so the content targets the searches that actually convert in each area.

3 — Made the business a citable entity. The core GEO work:

  • A stable entity @id (https://friasypado.com/#organization) on the LocalBusiness schema, so AI engines reference the business as one consistent entity.
  • Slogan, logo, and a contactPoint (tel. 634 21 18 18 · Spanish · area ES).
  • memberOf → Grup Fusió, stating the corporate relationship as structured data.
  • knowsAbout across six areas: transporte por carretera, urgente 24h, movimientos de tierra, áridos, frigorífico, articulado 40 TN.
  • Completed the offer catalog from 4 to all 6 services (added Rígido 18–26 TN and Vehículo a la carta).
  • Rewrote the schema description with concrete numbers (1.500 kg–40 TN, quote <1h, 24/365).
  • Added WebSite and WebPage JSON-LD with datePublished (2026-04-10) and dateModified (2026-07-01) — an explicit freshness signal.
  • Kept sameAs empty on purpose. We verified by search that no LinkedIn, Wikidata, or Facebook entity exists yet — and sameAs URLs that 404 are a penalty, not a signal. Building those profiles is a later lever.

4 — Factual density (audit sub-score: 30 / 100 at baseline):

  • Added an extractable “definition sentence” in the Nosotros section — who the company is, its base, coverage area, fleet range (1.500 kg–40 TN), 24/365 availability, and sub-one-hour quoting.
  • Added two stat-bearing FAQs (visible HTML + FAQPage schema): the load-capacity range (1.500 kg / 18 TN / 25 TN / 26 TN / 40 TN) and how to request a quote.
  • Fixed three pre-existing mismatches where the FAQPage schema didn’t match the visible answers — a trust-signal penalty. Verified programmatically: all 8 questions now match word-for-word, and all 4 JSON-LD blocks parse.

Where it is now

This is a greenfield build, and the Citable Checker score has already moved from 10 to 45 / 100 — from Invisible into Citation gaps — as engines discover and re-crawl the new entity. The structural foundations are in (stable entity, complete catalog, word-for-word FAQ parity); the climb from Citation gaps toward Patchy presence is the next arc, with off-site authority — independent profiles and mentions — as the lever. The engagement is active.

More numbers

Business entity (schema)

No structured entity LocalBusiness @id · contactPoint · memberOf (Grup Fusió)

Service catalog in schema

4 of 6 services All 6 services

+ Rígido 18–26 TN · Vehículo a la carta

FAQ schema parity

3 schema/visible mismatches 8/8 questions match · 4/4 JSON-LD blocks valid

Factual density (audit sub-score)

30 / 100 Definition sentence + 2 stat-bearing FAQs added

Ready to be cited by AI?

Two paths in. Free check tells you where you stand in 10 seconds. Paid audit tells you exactly what to fix, with a baseline you can measure forward from.

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