Local SEO Case Study: 5X Leads for a Multi-Location Business

Multi-location businesses consistently underperform in local search — not because their products are weaker, but because their SEO is built for one location and stretched across many. The result is a diluted presence that ranks nowhere convincingly. This local SEO case study documents how a UK-based home services group operating across six locations grew qualified inbound leads by 5X over ten months, without increasing their paid media budget. The fixes were structural, not magical — and they apply to any business running more than one location.

If you're looking for expert help in this area, explore how Indexed's local SEO results can drive measurable results for your business.

The Client Situation: Six Locations, One Broken Strategy

The client — a property maintenance and home improvement group — had acquired three competitor businesses over three years, each with its own website, Google Business Profile, and citation history. By the time Indexed was engaged, they were running a single merged website with six service areas listed on one generic page, two abandoned Google Business Profiles, and duplicate NAP (name, address, phone number) data scattered across dozens of directories.

Search visibility was erratic. Two locations ranked in the local Map Pack for a handful of terms. Three others ranked below position 15 organically for their primary service keyword. The sixth had no verified Google Business Profile at all.

What Was Actually Generating Leads

Before touching anything, we audited the lead sources. Roughly 60% of inbound enquiries were coming from a single Google Business Profile attached to their original, founding location. That profile had 140 reviews averaging 4.7 stars. Every other location was generating almost nothing from organic or local search. The business was, in effect, a one-location SEO operation paying overheads for six.

The Core Diagnosis

Three structural problems were suppressing performance across the estate:

• Consolidated location pages: All six service areas funnelled to a single URL with no location-specific content, signals, or schema.
• Profile fragmentation: Acquired businesses had left ghost profiles, causing Google to see competing entities rather than a unified brand.
• Review imbalance: One profile had social proof; five had none. Google's local ranking algorithm treats review recency and volume as a proximity signal — sparse profiles lose ground regardless of proximity.

The Local SEO Case Study Strategy: What We Actually Did

Rather than running isolated tactics, we sequenced the work across three phases. Each phase was designed so that later actions would compound the earlier ones.

Phase One: Profile Consolidation and Citation Cleanup (Months 1–2)

We audited every Google Business Profile associated with any trading name the group had ever used. Abandoned profiles were either claimed and merged or flagged for removal via Google's Business Redressal process. For acquired businesses that had genuine trading history and reviews, we retained the profile and connected it to the new brand rather than deleting it — preserving review equity.

Citation cleanup followed. Using a combination of manual audits and Semrush's Listing Management tool, we corrected NAP inconsistencies across the major UK directories — Yell, Thomson Local, Bing Places, Apple Maps, and the core data aggregators. The objective was not volume of citations but consistency. Every profile had to reflect the same business name, address format, and phone number as the canonical Google Business Profile.

This phase alone produced a measurable lift. Within eight weeks, three locations that had been absent from Map Pack results began appearing in positions 6–9 for their primary service terms — simply because Google could now resolve which business entity was associated with each address.

Phase Two: Dedicated Location Pages With Genuine Depth (Months 2–5)

We built six standalone location pages — one per service area — each targeting the primary service keyword plus the location. Crucially, these were not templated pages with the town name swapped in. Each page contained:

• Location-specific service descriptions referencing local context (proximity to landmarks, local authority areas served, common property types in the area)
• Embedded Google Maps with the correct GBP pin
• LocalBusiness schema with accurate opening hours, geo-coordinates, and service area definitions
• A curated selection of location-relevant reviews pulled from the GBP
• An FAQ section addressing questions specific to that market (e.g. planning rules for extensions in a conservation area)

Writing localised content at this level of specificity is time-intensive, and it is where some agencies cut corners by using templated AI output. We used AI-assisted drafting for structure and first passes, but every page was reviewed and enriched by a human editor familiar with local services content — a process our AI content production framework covers in detail. The distinction matters: thin AI-generated location pages trigger quality signals that suppress rather than boost local rankings.

Phase Three: Review Velocity and GBP Activity (Months 3–10)

The client had no review generation system. Satisfied customers were not being asked for reviews at all — the one profile with 140 reviews had accumulated them organically over seven years.

We implemented a post-job SMS and email sequence using their existing CRM. The sequence triggered 48 hours after job completion, linked directly to the relevant GBP review form for that location, and included a plain-language explanation of why the review mattered. Response rates from this approach consistently outperform generic "leave us a review" requests because the link removes friction.

Alongside review generation, we introduced a weekly GBP post schedule for each location — alternating between service highlights, seasonal offers, and completed project updates. GBP posts do not directly influence Map Pack rankings, but they signal an active, verified business to Google and increase click-through from profiles that are already ranking.

Results Breakdown: What Changed and by How Much

Metric	Baseline (Month 0)	Month 10	Change
Inbound leads (all locations)	38/month	191/month	+403%
Locations ranking in Map Pack (top 3)	1	5	+4 locations
GBP profile views (combined)	1,200/month	8,400/month	+600%
Average review count per location	24	87	+262%
Organic sessions to location pages	280/month	2,140/month	+664%
Cost per lead (blended)	£68	£19	-72%

The lead growth compounded as more locations entered the Map Pack. The biggest single jump — a 60% increase in monthly leads — came in month 6, when the fourth and fifth locations achieved top-3 positions simultaneously. The sixth location lagged due to a high-competition market and required a more sustained link-building effort; that work is ongoing.

It is worth noting the relationship between lead quality and organic local traffic. Leads from Google Business Profile — calls, direction requests, and website clicks — converted to booked jobs at a higher rate than leads from any other channel. This is consistent with what our SEO audit ROI analysis identifies as the distinguishing feature of local organic traffic: high purchase intent at the point of search.

What Most Multi-Location Businesses Miss: The Profile Equity Problem

The finding that deserves more attention than it typically receives in local SEO commentary is what we call the profile equity problem. When a business acquires another company, it inherits that company's digital footprint — including review history, citation signals, and Google Business Profile authority. Most businesses either ignore these assets entirely or delete them without realising they are destroying years of accumulated trust.

In this case, one acquired business had 63 Google reviews and a verified profile that had been active for four years. We retained that profile, updated the business information to reflect the new trading name and branding, and maintained continuity. Within three months, that profile was generating Map Pack visibility in a borough where the acquiring business had no prior presence.

The inverse is also true. Deleting an active profile to start fresh means beginning from zero in terms of Google's understanding of that entity. If you are evaluating an acquisition or have recently merged businesses, profile equity should be part of your due diligence.

Who This Approach Is For — and Who It Is Not

This framework is specific in its application. It works well for some businesses and is the wrong fit for others.

Good Fit

• Multi-location service businesses with a physical presence or defined service areas — trades, healthcare, legal, hospitality, property
• Businesses that have grown through acquisition and have fragmented digital profiles as a result
• Operations where location-specific conversion matters — where a customer in Birmingham calling your Manchester number is not a useful lead
• Businesses with an existing customer base who can generate reviews through a structured post-job sequence

Poor Fit

• National e-commerce businesses with no physical location or service area dependency
• B2B businesses where the buyer's location is irrelevant to the purchase decision
• Single-location businesses — the multi-location framework adds overhead without proportional return at one site
• Businesses expecting results in under 90 days — citation cleanup and location page authority build over four to six months minimum

Tool Choices for Multi-Location Local SEO

Tool	Best For	Limitation	Approx. Cost
Semrush Listing Management	Citation distribution and NAP consistency at scale	Limited UK-specific directory coverage compared to US	From ~£99/month
BrightLocal	UK-focused citation building, rank tracking by postcode grid	Interface is less intuitive for non-specialists	From ~£29/month
Whitespark	Deep citation audit, GBP audit reports	Manual-heavy; slower for large location estates	From ~$20/month
Google Business Profile Manager	Native GBP management, bulk location updates	No third-party review aggregation or scheduling	Free

For UK multi-location businesses, BrightLocal tends to outperform Semrush's listing tools specifically because of its UK directory network coverage and its postcode-level rank tracking — which matters when you need to demonstrate Map Pack visibility at a borough or district level rather than a city level.

FAQ

How long does local SEO take to show results for a multi-location business?

Expect meaningful movement within three to four months for citation cleanup and GBP optimisation. Location page authority, which depends on content indexation and link signals, typically takes five to eight months to convert into top-3 Map Pack positions. Timeline varies by competition level — a plumber in rural Yorkshire will move faster than one in central London.

Should each location have its own website?

For most multi-location businesses, no. Separate websites fragment your domain authority and create significant management overhead. The stronger approach is a single domain with dedicated, well-structured location pages — each with its own URL, schema, and content. Separate sites are only justified when acquired businesses have substantially more domain authority than the parent brand.

How important are Google reviews for multi-location local SEO?

Very important, and the distribution across locations matters as much as the total count. A parent business with 300 reviews on one profile and 4 reviews on five others will underperform in local search across those five locations regardless of how good the website is. Each GBP needs its own review velocity — typically a minimum of 20–30 recent reviews to be competitive in medium-density markets.

What should you do with Google Business Profiles from acquired businesses?

Audit them before making any decisions. If the profile has reviews, is verified, and covers a territory you want to operate in, retain and update it rather than deleting it. If the profile is unverified, has no reviews, or represents a territory you no longer serve, claim and remove it through Google's business redressal process to prevent it from creating conflicting signals for your active profiles.

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