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A Network of Local Websites for a Law Firm

A US law firm handling personal injury cases came to us with a clear request: reach the top of search results and generate more leads in its key practice areas.


Instead of standard SEO for its main website, the client chose Webora's solution: a network of narrowly focused local websites, each built for a specific district and the specific searches of the people who live there.

Contents
  1. Key Results
  2. Why Standard SEO Wouldn't Have Worked
  3. How We Built the Network
  4. Results
  5. Conclusion

Key Results

  • 10+ websites launched, each targeting a narrow "service + district" combination
  • 6 websites made it through search engine updates and show steady growth in impressions and clicks
  • 3 websites consistently bring in new leads from the exact districts they were built for

For personal injury law, these are strong numbers. Many clients in this niche choose a lawyer through referrals, so search demand is limited, and every click comes from someone actively looking for legal help.

Reaching similar results by promoting the main website with classic SEO would have taken up to a year. Buying the same traffic through ads would have cost more than building the entire network. And unlike ads, the websites keep working after the budget stops. All things considered, this was the most effective path for the client.

Why Standard SEO Wouldn't Have Worked

An analysis of the client's starting position revealed a wide gap between its website and competitors in organic search.

Metric Client's website Competitors in the niche
Domain Rating 6 28–51
Referring domains 59 474–1,600
Total backlinks 70 7,300–119,000
Keywords in the top results 5 2,400–5,500
Organic traffic 14 15,600–117,700

Law firm websites fall into the YMYL (Your Money or Your Life) category, so Google holds them to higher trust standards. For a main domain with a DR of 6 to compete with websites that have spent years building authority, it takes a long time. On top of that, cost per click in this niche can exceed $300, so paid traffic wasn't a cost-effective alternative.

At the same time, searches in this niche are strongly tied to location. After a car accident, people don't search for "personal injury lawyer." They look for a lawyer in their own district who handles their kind of case. Competition for these narrow queries is much lower than for broad ones. Those were the queries we set out to win.

How We Built the Network

Step 1. Keyword Research Across All Locations

We built a keyword core for the 22 cities in the region where the client operates. Then we clustered the queries and organized them along two axes: case type (car accidents, motorcycle accidents, rideshare accidents, slip and falls, dog bites, and more) and location.

The result was a "service × district" matrix showing search volume, ranking difficulty, and competitor strength for every combination.

Step 2. Choosing Combinations for Standalone Websites

Not every combination justifies a separate website. We selected the ones where:

  • residents of a specific district show steady demand;
  • competitors in search results are weaker than for broad regional queries;
  • the traffic forecast justifies launching a separate domain.

For each selected combination, we prepared a traffic forecast to set clear expectations for the post-launch period.

Step 3. Domains and Keyword Distribution

For each combination, we chose an Exact Match Domain (EMD). The domain format looked roughly like [district]caraccidentlawyer.com or [district]-injury-attorney.com.

Each website was built around very narrow keywords for one district and one or several related services. Sample keywords targeted by one website:

  • car accident lawyer [district 1]
  • [district 1] car accident attorney
  • best car accident lawyer in [district 1]

A neighboring website covered a different district or a different service:

  • lyft accident lawyer [district 2]
  • motorcycle accident attorney [district 2]
  • dog bite lawyer [district 2]

Keywords were strictly divided between the network websites and the client's main domain, so they never competed with each other for the same queries.

Step 4. Generation and Launch

The websites were created with Webora's AI tools. Every website is:

  • lightweight and fast-loading;
  • SEO-optimized from day one;
  • limited to the pages its target queries actually need;
  • built around the local context of its district;
  • designed to guide visitors toward contacting a lawyer.

The team handled strategy, content review, and technical support. This approach made it possible to launch 10+ websites in the time it usually takes to refine just one.

Step 5. Monitoring and Scaling

After launch, our SEO specialists tracked each website separately: impressions, clicks, rankings, and leads. Some websites in the network didn't make it through search engine updates, and that is built into the model itself. Decisions about further investment are based on real data, not forecasts. The websites that showed steady growth became the foundation for the next stage.

Results

Out of 10+ launched websites:

  • 6 websites made it through search engine updates and show steady growth in impressions and clicks;
  • 3 of them consistently generate new leads in narrow service niches within the districts they were built for.

For the client, this is a separate lead channel that works independently of the main website and covers locations the main domain doesn't reach yet.

Conclusion

The client came to us asking for "more leads." Instead of spending months promoting a weak domain, Webora launched a network of narrowly focused local websites, each working for its own district and its own queries. Within six months of launch, part of the network is consistently bringing in leads.

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