How we used our Location Scores API to optimize for Google & LLMs

Location is one of the most powerful drivers of homebuying decisions, yet remains an underused lever for generating qualified traffic at scale. Most real estate websites rely on generic neighborhood blurbs or static data, limiting their visibility in both search engines and AI-generated results. At Local Logic, we saw an opportunity to change that by building content that’s optimized for how and where people search today.

During a routine audit of our blog content, we discovered that one post — The 6 Best Neighborhoods for Families in Vancouver — was consistently outperforming the rest. This wasn’t a fluke. It was a signal.

So, we doubled down. We refined our methodology, infused our content with proprietary data from our Location Scores API, and turned that one successful post into a repeatable framework. The result? A library of over 35 neighborhood-focused blog posts that dramatically improved organic visibility, engagement, and user stickiness.

Today, this approach informs not only our content strategy, but also how our clients create scalable neighborhood pages that improve SEO performance, capture qualified traffic, and showcase local expertise at scale.

1. Target High-Intent Keywords for Lifestyle-Driven Search

Search is evolving, and it’s doing so fast. While AI-driven platforms like ChatGPT are changing how consumers discover information, Google still dominates when it comes to transactional, location-specific queries, especially those tied to listings, relocation, and neighborhood research.

Traditional keyword research isn’t the end-all-be-all anymore, but it remains a powerful starting point for building content that captures high-intent traffic. To guide our strategy, we analyzed real estate search trends across Google, industry reports, and tools like Ahrefs and SEMrush. The most searched lifestyle-driven verticals consistently centered on life stage, affordability, convenience, and safety.

With that in mind, we identified high-intent search terms aligned with common lifestyle-based queries like:

• “Best neighborhoods for families in [city]”
• “Where should young professionals live in [city]?”
• “Top places to retire in [city]”

We cross-referenced these terms by:

• Search volume by vertical and metro area
• Business relevance based on strategic markets
• Competitive difficulty and ranking potential

From this, we prioritized three core lifestyle segments (Families, Retirees, and Young Professionals) and mapped our content strategy to the cities that showed the strongest demand.

2. Use Location Scores to Rank Neighborhoods by Lifestyle Fit

The true differentiator came next: our proprietary Location Scores.

Local Logic has developed 18 Location Scores based on billions of data points measuring the characteristics that matter most to different types of buyers, from walkability and transit access to school proximity and noise levels. These scores help homebuyers better understand and assess a location, so they can make more informed decisions on where to live and find homes that truly match their lifestyle.

To tailor our rankings to each audience segment, we selected the most relevant Location Scores and used them to generate a composite score for every neighborhood. This composite score served as the basis for our rankings, allowing us to compare each neighborhood to the citywide average and surface the top lifestyle-specific areas.

The result was a ranked, data-informed list of neighborhoods tailored to each lifestyle segment.

3. Build Structured, Search-Optimized Content That Engages

After generating a ranked list using our composite Location Scores, we conducted in-depth research on the top 5 neighborhoods in each city to better understand what made them stand out. This additional layer of qualitative detail helped us enrich each blog post with relevant insights that go beyond the data alone.

Each blog post followed a clear, replicable format that included:

• Ranked List: Top 5 neighborhoods based on composite scores
• Data Snapshot: Key Location Scores and the final composite score per neighborhood
• Custom Map: Visual representation of each neighborhood’s boundaries
• Neighborhood Blurb: Narrative tying Location Scores to real-world context, describing lifestyle fit and unique characteristics
• External Links: Where applicable, links to websites of local Points of Interest (e.g. parks, schools, cafés, museums, etc.)
• User Generated Content (UGC): Embedded Instagram posts to add authentic, visual perspective

This approach blended structured data with storytelling, driving stronger engagement through improved time-on-site, scroll depth, and interaction rates.

The Results: From a Single Post to a Scalable Growth Engine

Local Logic’s blog post on The 6 best neighborhoods for families in Vancouver

The ‘Best Neighborhoods for Families in Vancouver’ blog post was our first breakout hit. After refreshing it using our new framework, we saw:

• Pageviews increased by over 2.5x within 90 days
• Time-on-site rose by 42%
• Bounce rate dropped by 18%

Notably, our content is now featured directly in Google’s AI Overview for searches like “best neighborhoods for families in Vancouver.” This AI-generated summary pulls neighborhood insights and links to our blog, placing Local Logic at the top of the search experience alongside prominent local publishers, demonstrating strong visibility in both traditional and AI-powered search environments.

Ranking in Google’s AI Overview for ‘best neighborhoods for families in Vancouver’

We then replicated this across 35+ posts. Additional aggregated performance gains include:

• Organic traffic: 38% average increase
• Overall blog traffic: 179% increase in pageviews and 184% in active users YoY
• Share of blog traffic: 61% of our blog traffic came from our neighborhood content
• Featured snippets & SERP placements: Top 10 rankings for 10+ high-intent lifestyle search queries

Tactical Takeaways for Real Estate Brands

Whether you’re a brokerage, portal, or proptech platform, there are three key lessons here that can help you attract high-intent buyers, improve lead conversion on your website, and increase visibility across both traditional and AI-powered search channels:

1. Data + Narrative Wins

Buyers and renters don’t just want raw data. They want help making sense of it. By combining structured, quantitative data from Local Logic’s Location Scores API with compelling storytelling, you create content that’s not only informative but emotionally resonant. This approach builds trust and positions your brand as an expert guide in the home search process.

2. Segmented Content Converts

Different audiences have different needs. A young professional searching in downtown Toronto is looking for very different signals than a family relocating to suburban Denver. By segmenting content based on lifestyle needs — and mapping those to your available data — you can improve engagement, relevance, and ultimately lead conversion.

3. SEO Has Changed (And So Have the Rules of Visibility)

As traditional search blends with AI-powered summaries and zero-click results, structured and authoritative content becomes even more important. To rank in both Google and tools like ChatGPT or Perplexity, your content needs to be informative, data-rich, and contextually useful. Think beyond keywords: optimize for prompt answers, entity associations, and structured data.

The brands that embrace these principles will stand out in a noisy digital landscape and win the trust of modern homebuyers.