Construction · Local SEO12-month engagement

IAM Builders: 0 → 2.45M Impressions in 12 Months

A UK construction company with near-zero organic search presence. 12 months of technical SEO, location content, and authority building. Here's what the data actually showed — including what didn't work.

2.45M

Total Impressions

from ~0

13,500

Organic Clicks

+∞

15.8

Avg Position

from 29.4

+30.2%

Organic Users

GA4 verified

The starting point

Baseline Issues Found

× 847 crawl errors across site

× 34 redirect chains (some 4+ hops)

× 189 service pages marked no-index

× Avg position 29.4 — past page 3

× GMB profile incomplete, 0 photos

× Zero structured data markup

What Was In Their Favour

Established business — 8 years trading

Real client reviews (no structured online presence)

Strong service-area footprint across London

Genuine expertise — content angle clear

No Google penalties or manual actions

Reasonable domain age (6 years)

The fundamentals were solid: real business, real work history, real service area. The problem was entirely technical and structural. No one had ever told Google what this business did, where it operated, or which pages to index. That was fixable.

Three-phase execution

Every month was tracked in GSC. Phases overlapped, but each had a primary focus that dictated what moved.

01

Technical Foundation

Months 1–3

+280% crawl coverage · 142 pages indexed in 14 days

Full technical audit: identified 847 crawl errors, 34 redirect chains, 189 no-index pages

Resolved redirect chains — 6 chains were killing PageRank flow to target pages

Fixed canonical conflicts on 23 service pages (duplicate content suppressing rank)

Submitted 189 previously no-indexed pages via Google Indexing API — 142 indexed within 14 days

Consolidated 4 near-duplicate service pages into 2 authoritative pages with clear internal linking

Fixed Core Web Vitals: LCP 4.2s → 1.8s, CLS 0.24 → 0.04

02

Content & Authority Pages

Months 4–6

340 new keyword targets · Top 20 positions on 67 location terms

Created 18 location-specific service pages (London + surrounding boroughs)

Built FAQ schema on all 18 pages — structured data indexed within 3 weeks

Developed 8 pillar articles targeting informational keywords (2,000–3,500 words each)

Internal linking audit: created hub structure from service pages to pillar content

Keyword gap analysis — identified 340 low-competition service queries with clear commercial intent

Optimized GMB profile, added 94 photos, 12 services, weekly posts

03

Authority & Brand Signals

Months 7–12

+50 referring domains · Avg position 29.4 → 15.8

Built 38 local citations (Yell, FreeIndex, Checkatrade, Rated People)

Acquired 12 editorial backlinks from construction trade publications

Published 4 project case studies on-site — each with before/after photos and structured data

Press coverage in 2 regional business publications (1 dofollow, 1 nofollow)

Schema markup: LocalBusiness, Service, Review, FAQ — full structured data coverage

Monthly reporting: clients understood exactly what moved and why

The data, month by month

All data sourced from Google Search Console and GA4. The step-change pattern in months 4–6 is the content phase landing — exactly when location pages hit page 2 and started pulling impressions.

Impressions & Clicks — 12 Month Trajectory

From 8.5K impressions/month to 2.45M · From 95 clicks to 13,500

Average Search Position — Monthly Progression

Avg position improved from 29.4 to 15.8 · Lower = better

Organic Traffic — Before vs After

Q1 Baseline vs Q4 Results · GA4 data

Keyword Rankings — Distribution Shift

Keywords in each ranking band: baseline vs 12-month result

What didn't work — and why

Blog-first approach (abandoned at month 2)

Initial plan included weekly blog posts targeting informational queries. Abandoned because the informational keywords had no clear local intent — impressions would have been meaningless vanity. Pivoted to location pages targeting commercial and transactional queries instead. Better ROI.

Direct competitor link acquisition (0 of 4 converted)

Reached out to 4 trade associations expecting editorial placements. None converted in 12 months. Not unusual — long-cycle relationship building in construction. Replaced with citation-building and niche trade publication pitches, which moved faster.

Google Posts engagement was minimal

Committed to weekly GMB posts. Click-through from posts was near zero — construction searches don't engage with GMB Posts the way retail does. Maintained the cadence for freshness signals but stopped expecting traffic from it.

Three things that drove most of the results

1

Fixing no-index before anything else

189 service pages Google couldn't read. The entire domain was invisible to search for work that was already done and documented on the site. This single fix accounted for the month 1–3 impression spike — Google was indexing content that had existed for years.

2

Location pages with commercial intent — not blog posts

Every location page was structured around a specific query: "[service] in [location]". Not brand content, not blog content — transactional content designed to rank for searches that convert. 67 location terms hit top 20 within 6 months.

3

Schema markup as a compounding signal

FAQ schema, LocalBusiness markup, and Review schema together created richer SERP appearances. CTR from positions 15–25 increased meaningfully once rich snippets appeared — which accelerated the position improvements further.

Related reading

How LazyMetrics automates the technical fixes shown in Phase 1Compare LazyMetrics vs Semrush for agency deliverySee all case studies — law firm, e-commerce, B2B SaaSHow redirect chain auto-resolution works in LazyMetrics

Written & verified by

Umair Mansha — Founder, LazyMetrics

Umair Mansha

Founder, LazyMetrics Holdings LLC

12+ years in technical SEO and agency delivery. Managed 2,000+ campaigns across 500+ agencies. Built LazyMetrics after running an SEO agency and getting tired of tools that flagged problems but couldn't fix them.

Want results like this for your clients?

The technical fixes in Phase 1 are what LazyMetrics automates. AI agents handle the redirect chains, no-index issues, and indexing submissions — without the manual work.

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