Correction: we probably got the click radius density classes wrong

A few people reached out after the click radius post. Two of them had a different interpretation of the DensityClass enum that we think is probably right.

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There's a local ranking signal in Google's leaked code that the SEO community hasn't picked up on yet

We spent the last four months going through the leaked Google API documentation, specifically the local-related modules. This is a write-up of what we found and what happened when we tested it.

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The leaked code references a query-entity match score for local businesses

The conventional understanding is relevance, distance, prominence. But the leaked code suggests the "relevance" part is more granular than just matching a query to a GBP category.

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Google's local search uses a click radius. Here's what the leaked code tells us about how it works.

NavBoost has been the most discussed part of the leaked documents. But how it works for local search specifically hasn't gotten much attention. We found a set of proto definitions that reference geographic coordinates alongside click metrics.

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There's a photo analysis signal in the local ranking code that nobody's noticed

GBP photos have always been a "best practice" thing. But I found a proto message that evaluates recency, diversity, and the ratio of customer vs owner photos.

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Google scores citation consistency with source weighting

Google isn't treating all citation sources equally. There's a structure that assigns different weights to different source types: first-party, aggregator, directory, social.

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What the leaked code says about how Google weights review velocity

I found a field called review_velocity_decay in what looks like a local quality scoring module. The name is pretty self-explanatory, but the structure around it is more interesting than I expected.

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Starting to dig through the local search modules in Google's leaked code

Like everyone else in this industry, I've been aware of the leaked Google API documentation since May. I do local SEO for a living, and almost nobody is talking about the local-specific parts.

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