How does Google decide which local businesses to list at the top of the screen when a consumer is searching for a service? Unfortunately, too many small business owners assume that ranking first is linked to big marketing budgets and a large volume of backlinks. But that is not necessarily the case when it comes to high-intent local search
Imagine a San Diego resident looking for a coffee shop as he strolls through North Park. He is searching with his phone. Rather than choosing coffee shops based on keywords and PPC ads, Google algorithms turn to a complex framework referred to as ‘hyper-local proximity targeting’.
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Simply put, Google calculates the user’s real-time location using phone data. Its algorithms then match the location with the most relevant businesses in the area. This being the case, a San Diego SEO specialist working on behalf of a local coffee shop would prioritize translating physical geography into usable digital search results.
How Mobile Location Tracking Works
The foundation of this entire discussion is mobile search. We are talking about people trying to find businesses or services while on the go. That means they are using their phones. Google calculates a user’s physical location by tapping into multiple data layers. So when that previously mentioned San Diego resident is searching for a coffee shop, Google algorithms are hard at work building a dynamic perimeter around him based on three things:
- Real-time GPS data (data is pulled directly from the phone)
- Wi-Fi triangulation (using signals from local public networks)
- Cell tower triangulation (using signals from local cell towers)
Why go to all this trouble? Because Google does not want to serve up results that include coffee shops located twenty miles away. In addition, Google algorithms are fairly accurate at determining whether a user is walking or moving in a vehicle. If walking, Google wants to offer coffee shops within a reasonable distance.
Google Prioritizes Distance
Pixsan is a San Diego SEO specialist with plenty of experience in local search. They suggest something else local businesses need to know: Google prioritizes distance above just about every other ranking factor when it comes to high-intent local searches. The reason is simple: local users are looking for local companies. And for so many people, the idea of local doesn’t stretch very far beyond where they are at the current moment.
Deconstructing the Proximity Challenge
Distance to user, also known as proximity in SEO circles, presents a unique challenge for small businesses that operate across an entire county. This is especially true for service-based businesses. For example, think of an HVAC provider whose main office is in Mission Valley. The owner still needs to reach customers ranging from Carlsbad to Chula Vista to El Cajon.
A San Diego SEO specialist must deconstruct proximity data and combine it with white-hat content that appeals to each unique neighborhood. That also means segmenting SEO efforts by neighborhood. If an SEO provider chooses the easy route instead – using fake or virtual addresses for each local neighborhood – there is a strong possibility Google will figure it out and punish the contractor’s website.
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The best way to overcome the proximity challenge is to take advantage of three things:
- Localized landing architecture
- Hyper-local schema markup
- Properly geo-tagged media
A strategy prioritizing proximity and geo-targeted search should help a local business zero in on its main customer base without wasting time and resources on those who do not live in the area. An accomplished SEO specialist knows how to do this. Most small business owners do not. So if you are a business owner, consider bringing in an SEO provider.
