Multi-Location Local SEO Case Study | HGM

Multi-Location Local SEO and AI-Assisted Link Outreach

A multi-location local SEO case study focused on GBP management, citations, local links, schema, geo-grid tracking, and AI-assisted outreach workflows.

What changed from the first constraint to the measured outcome.

Measured impact39 Map-Pack Keywords Improved

39 map-pack keywords improved, 84 citations cleaned, and 23 local link opportunities prioritized across the portfolio.

Client type
Multi-Location Service Brand
Channel
Local SEO
Before

Challenge

The brand needed scalable local SEO across multiple locations without using the same generic playbook for every market.

Intervention

Strategy

GBP optimization, citation cleanup, localized schema, geo-grid tracking, competitor research, and AI-assisted outreach were combined into a repeatable workflow.

After

Impact

39 map-pack keywords improved, 84 citations cleaned, and 23 local link opportunities prioritized across the portfolio.

What HGM actually did to create movement.

A practical view of the workstreams behind the result, before the long-form story expands on the details.

01

Find the real constraint

We reviewed where multi-location service brand growth was stalling across visibility, content depth, technical health, conversion paths, and measurement.

02

Rank the work by impact

The Local SEO work was ordered around the changes most likely to influence qualified demand, not around a generic checklist.

03

Execute the growth work

GBP optimization, citation cleanup, localized schema, geo-grid tracking, competitor research, and AI-assisted outreach were combined into a repeatable workflow.

04

Track the movement

39 map-pack keywords improved, 84 citations cleaned, and 23 local link opportunities prioritized across the portfolio.

The decisions, fixes, and execution behind the result.

Who Was the Client?

A service brand with multiple locations that needed each market to earn visibility on its own while still following a central SEO process.

What Was the Challenge?

The brand had location pages and Google Business Profiles (GBP, the free listing that controls how a business appears on Google Maps and in local search), but quality varied by market. Some locations had weak citations (mentions of the business's name, address, and phone number on other websites and directories), thin local proof, missing schema, and very few relevant local backlinks.

What Was the Strategy?

We built a repeatable local SEO workflow covering GBP optimization, citation cleanup, geo-grid tracking (measuring map-pack rankings from multiple simulated locations across a service area), local competitor research, schema, on-page improvements, and AI-assisted outreach personalization. Each location kept its own market priorities instead of receiving a copy-paste checklist.

What Were the Results?

  • GBP improvements rolled out by location
  • NAP (name, address, and phone number) and citation gaps cleaned
  • Local link opportunities prioritized
  • Geo-grid reporting used to spot market-level gaps
  • AI-assisted outreach sped up personalization while keeping human review

Impact Metrics

  • 39 map-pack keywords improved
  • 84 citations cleaned or updated
  • 23 local link opportunities prioritized
  • 12 location pages mapped for local proof improvements

Why Did This Work?

Multi-location SEO needs central standards and local judgment. The workflow scaled the basics while still letting each market respond to its own competitors, geography, and demand.

Questions this case study can help answer.

What was the main constraint in this Local SEO case study?

The brand needed scalable local SEO across multiple locations without using the same generic playbook for every market.

What work did HGM focus on first?

GBP optimization, citation cleanup, localized schema, geo-grid tracking, competitor research, and AI-assisted outreach were combined into a repeatable workflow.

Can this result be guaranteed for another business?

No. This case study shows what changed in one context. Results depend on the starting website, market, competition, tracking, offer quality, implementation speed, and the buyer journey.

Is this case relevant for other home services businesses?

It can be useful as a pattern, but the right plan still depends on the specific market, service mix, proof assets, conversion path, and growth constraint for each business.

What clients say once the work is live.

Anonymised client feedback from businesses that needed clearer priorities, sharper pages, and work tied to actual enquiries.

Want to know what kind of movement is realistic for your site?

Book a free consultation and we'll map the constraints, channels, and fixes most likely to create measurable progress.

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