Local SEO Services

After the first month of setup, the work of a local SEO agency is mostly maintenance and expansion. Each month we post to your Google Business Profile, add photos, request and answer reviews, correct any citation or duplicate-listing problems that have appeared, and publish or improve the local pages on your website. We track your map rankings across a grid and review the calls and leads those rankings produced. When the grid shows an adjacent area is within reach, we plan the pages and profile changes to win it. If a local SEO company cannot tell you what it did last month and what changed as a result, that is a reason to ask harder questions.

Primary category is the heaviest ranking field on a profile because Google uses it to decide which queries your listing is eligible for. It works as a gate before relevance, distance and prominence are weighed. We work it out from evidence: we run your priority queries, pull the categories on the listings ranking in the top three, and look for the narrowest category that still covers your core revenue service. Business owners usually default to something broader because it feels more inclusive, but a broad category spreads eligibility across queries you do not care about and loses to a narrower one that matches exactly. Secondary categories then extend reach without diluting the primary signal, so we treat them as a separate decision.

Proximity-radius decay is the way your local pack position falls as the searcher moves further from your registered address. It is a hard ceiling, and many local SEO promises ignore it. The distance you can hold depends on category competitiveness and market density: a specialised B2B service in a mid-size market might rank across an entire metro, while a competitive consumer category in a dense urban market can decay within two or three miles. We measure yours with grid tracking before setting any expectation, so the radius you plan around is a measured one. More profile optimisation will not fix the area outside that radius. That takes differentiated website pages that can rank organically where your listing cannot, and an agency that treats the two as the same thing is selling you the wrong work.

A storefront listing shows your address publicly and can rank in the map pack around it. A service-area business hides the address and declares the regions you travel to. You cannot have both for the same location, and the choice has consequences. Storefront listings generally hold stronger local pack positions because Google has a verified physical point to anchor proximity to, while service-area listings trade some of that strength for legitimate coverage of a wider territory. If customers come to your premises, keep the storefront. Hiding a real address to appear broader is a common and costly mistake. If they never do, a storefront listing at a residential or virtual address is a guidelines violation that risks suspension, and the service-area configuration is both safer and more accurate.

Total review count is a trust signal for the person reading your listing. Velocity and recency tell Google that a business is operating now and being chosen now. A profile with two hundred reviews where the most recent is fourteen months old reads as a business winding down, and one with sixty reviews arriving steadily reads as active. This is why businesses often see a slow, unexplained ranking slide after a review campaign that bursts and then stops. Nothing was penalised; the freshness signal expired. We build the ask into an existing moment in your customer flow so reviews keep coming at a pace you can sustain, because a process that depends on someone remembering to send requests will decay back to zero.

A duplicate splits everything that makes a listing rank (reviews, photos, engagement history, citation references) across two entities that each look weaker than the single combined profile would. It also leaves Google unsure which record is authoritative, which can suppress both. Duplicates usually come from a business move, a former employee's claim, or a data aggregator generating a record from an old dataset. That last case is why deletion alone rarely works: the aggregator regenerates it. We identify which listing carries the real equity, merge or suppress the other through the correct support channel, then correct the upstream aggregator data so it stops coming back. We do this before any signal-building work, because otherwise you are strengthening two halves of a split profile.

AI-generated local results currently surface roughly 68% fewer businesses than a classic three-pack, which is the most consequential change in local search in years. There are fewer visibility slots and the same number of businesses competing for them. In practice this raises the value of being the best-documented answer: complete structured data, a profile with real detail in every field, review content that mentions specific services, and website pages that state plainly what you do and where. Thin, templated local pages do badly here, because a generative system summarising options has nothing distinctive to extract from them. We build for both surfaces at once, since the classic pack is still here and will be for some time.