Competitive Visibility Analysis

First we find out who your real competitors are online, which is often not who you compete with for jobs. We run the grid, record which businesses hold the pins across your service area, and count how often each name appears. The top three are your actual competition for visibility.

Then each one goes beside you in a table. Primary category. Number of secondary categories. Number of service entries and whether they carry written descriptions. Photo count and how recently one was added. Posting activity. Review count and, more telling, the share of reviews with an owner reply. Profile completeness field by field.

We also ask ChatGPT, Gemini, Google AI Mode and other AI assistants for a recommendation in your area and record which names come back. Sometimes a business that is weak on the map is strong in assistant answers, and that tells you something about their website and their citations rather than their profile.

The output names the specific gaps. Not a score. A list: they answer reviews and you do not, they list eighteen services and you list four, they post twice a month and your last post was in 2022. <!-- proof placeholder: competitor names shown are pulled live per client, no examples published -->

Owners who are losing to a company they consider smaller. An electrical contractor with fifteen years in town watching a two-truck outfit hold the top pin in four neighborhoods wants to know exactly what that outfit did. This shows it.

It also fits owners entering a new area. Before you commit trucks to Camas, look at who already owns the map there and how hard that position would be to move.

And it fits anyone about to be sold a package. When a salesperson tells you your competitors are crushing you, this is how you check whether that is true and by how much.

This is not the fix list for your own profile. That is the Google Business Profile Audit & Consultation. This one looks outward.

Give us your business name, your service area, and the two or three companies you think are the problem. No card, no contract, delivered in about 10 minutes.

We run the grid first, because the data usually replaces at least one of your guesses with a name you had not considered.

Then we build the comparison table and write a short read of it, marking which gaps are cheap to close and which would take a year of steady work. Review counts fall in the second group, and no one can shortcut them honestly.

You keep the analysis. If you want the gaps closed, we will quote that separately, and you are welcome to hand the document to whoever you like instead.

Analyses cover Vancouver WA and Portland OR, plus Camas, Washougal, Orchards, Hazel Dell, Minnehaha, Cascade Park, Ogden, Forest Ridge, Meadow Homes, Vancouver Heights, Evergreen Highlands, and Ellsworth Springs. Competitive sets change sharply across the river, so an Oregon comparison and a Clark County comparison are run separately. Operating since 2012 from Vancouver, WA 98664.