Profile as a database record
Categories, services, attributes, and hours treated as structured data that has to stay consistent everywhere, not as a form you fill in once.
Profile management
Blueprint
Local visibility is not a checklist, it is a record, a surface, and a cadence. The record is your business as structured data. The surface is the set of real pages that prove you serve a market. The cadence is what keeps both current. This blueprint is how we run all three, in the order that works.
It is published in full because the method is not the hard part. Running it every week for a year is the hard part. If you want to run it yourself, the implementation guide has the working detail.
The six pillars
Each pillar links to the page where we go deeper on it.
Categories, services, attributes, and hours treated as structured data that has to stay consistent everywhere, not as a form you fill in once.
Profile managementThree separate levers with three separate tactics. Only two of them are inside your control, which changes where the effort goes.
Local tacticsOne substantive page per market you actually serve, with local context a competitor cannot copy by swapping a place name.
LocationsA repeatable ask, a response standard, and escalation. Reviews are an operations problem before they are a marketing one.
Local SEOAssistants now answer local questions directly. Being retrievable and citable is a separate job from ranking in the map pack.
AI search visibilityPosting cadence, review monitoring, citation checks, and reporting run on a schedule with human sign-off at the points that matter.
Automation workflowsFour phases
Skipping the baseline is the single most common reason local programs cannot prove anything.
Record where you rank, from where, and for what. Grid rankings, profile completeness, citation state, and current answer engine coverage. Without a baseline, nothing afterwards is provable.
Categories, services, attributes, hours, and NAP consistency across the sources that matter. Most local underperformance traces back to a wrong or thin record rather than to a missing tactic.
Real pages per market and per service, server rendered, interlinked, with local proof. Thin location pages get filtered, so pages only ship where there is something true to say.
Posts, photos, reviews, and profile updates on a schedule. Automated where it is safe, reviewed by a person where judgement is needed. Then measure, and cut what does not move.
Fix the business record first, then build real pages for the markets you serve, then run a weekly cadence of posts, reviews, and profile updates. Measure against a baseline recorded before you change anything, because proximity effects otherwise hide your progress.
Questions
Next
We baseline first, then work the phases in order, and you see the measurement either way.