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Bonzer specialists working on local visibility in search and AI answers
Baseline

Local SEO

Become the business customers find and choose when they search nearby – in Google, on the map and in AI answers.

What local SEO is

Local SEO is the work of making every one of your addresses visible where people actually decide: the Google Business Profile, the map pack, the local results, and the AI answers that recommend specific places. It can stand alone, and it usually runs as a delivery inside a Baseline.

For chains, clinics and physical stores the local choice is often the whole business. Someone searches, compares three profiles, then calls or drives over, frequently without visiting a website on the way.

So we work the full chain from query to visit: accurate profiles, strong location pages, reviews, and consistent business data that makes you easy to recommend for Google and for AI assistants alike.

Bonzer team reviewing local visibility across locations
Why it matters

Customers do not choose the best place. They choose the best place they can find.

Local queries carry high intent: "dentist near me", "showroom open now", "opening hours today". The customer is close to a decision, and what they get back is often a map, three profiles and a phone number. If you are not in that snippet, you are not in the running.

At the same time, more customers ask an assistant first. ChatGPT, Copilot and AI Overviews recommend specific places and pull the answer from your Google Business Profile, your reviews and your location pages. Those are the same signals that decide the map pack, so one effort covers the map and the assistant.

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How we work locally

We build the visibility address by address.

We start with a local visibility picture per address: how you rank on the queries that drive visits, where your profiles sit in the map pack, and when you get mentioned in AI answers, measured against the local competitors your customers are actually choosing between.

Then we build the foundation: Google Business Profile with the right categories, attributes and photos, location pages that match the local intent, structured data, and consistent name, address and phone details across every address.

Then we work on what moves the recommendation: a standing process for reviews and replies, local content, internal linking between locations, and continuous follow-up, so a new branch, a relocation or changed opening hours never quietly undermines the visibility.

What you get

What you get per location

An overview per location: rankings on the local queries that matter, your position in the map pack, and where you get mentioned in AI answers, set against the local competition. So you know which addresses and areas to win first.

Bonzer office where local visibility analyses are reviewed
When it pays off most

For chains, clinics and stores where the visit is the conversion.

You run several locations with no shared practice: profiles owned locally, details that contradict each other, and the odd branch that is invisible on the map even though it performs well in real life.

You are opening new addresses or want to win specific cities. The competition plays out city by city, which is why the gains arrive faster here – often as a focused engagement in sprints on top of the baseline.

What we typically work on in local SEO

The Google Business Profile is your most valuable local asset. Categories, attributes, opening hours, photos and posts decide when you show up on the map, and the profile doubles as a primary source when AI assistants recommend places in your area.

Location pages turn each address into a real page: content that matches the local intent, the local team, parking and access, plus structured data so every branch can rank in its own area instead of hiding on a shared contact page.

Consistent name, address and phone details across your website, your profiles and the directories sounds trivial. It is the trust layer of the whole system. Conflicting data costs you map placements and makes you hard to cite correctly in AI answers.

Reviews carry real weight. They influence your position in the map pack, and they are often the material AI answers lean on when they describe you. So we build a process for earning them, replying to them and letting them work inside the content.

For chains the task is to scale without copying: every location needs genuine local content rather than the same template with a new city name. Here we use our own platform Morrison, which knows your brand and your website and makes it realistic to produce and maintain location pages consistently across many addresses.

And we measure what matters locally: rankings per area, actions in the profiles such as calls and directions, brand mentions in AI answers, and the development in visits and enquiries per location. Our cases show what that looks like in practice.

Next step

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Frederik Thyssen

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