If you manage local or multi-location SEO for a B2B SaaS company operating across several markets, you already know the pain: Google Business Profiles (GBP) drift out of sync fast. Categories get changed by well-meaning support staff, NAP (name/address/phone) data goes stale after office moves, hours don't get updated for holidays in different regions, and nobody notices until rankings quietly slip.
At MarkoMetrics we manage GBP listings across multiple markets (UK, Singapore, Malaysia, Indonesia, Philippines) for SaaS clients expanding into Southeast Asia. Manually checking each profile every week doesn't scale. So we built a lightweight audit script using the Google Business Profile API to flag inconsistencies automatically.
The problem with manual GBP audits Data drift: fields get edited by multiple team members with no single source of truth Category mismatches: businesses often end up with an overly generic primary category, which hurts relevance NAP inconsistency: address formatting differs across markets (postal code placement, unit numbering conventions) Silent errors: a wrong phone number or closed status can sit unnoticed for weeks
None of these are catastrophic individually, but together they erode local ranking signals and trust — and B2B SaaS companies with multiple regional entities (or one HQ profile per country) accumulate this drift fast.
Primary/secondary category mismatches against a defined "expected categories" list Missing or malformed phone numbers per market (using phonenumbers for country-specific validation) Address field completeness and consistency against a canonical CRM record Business hours gaps or overlaps Whether the profile is verified and not suspended Setup
A Google Cloud project with the Business Profile API enabled OAuth2 credentials for an account with access to your Business Profile locations google-api-python-client, phonenumbers, and pandas
Run this weekly (cron, GitHub Actions, whatever fits your stack) and pipe the CSV into Slack or email so the team sees drift before it becomes a ranking problem.
Since automating this, we catch category and phone-format issues within a week of them occurring instead of during a quarterly manual review — which, across a multi-market SaaS footprint, used to mean weeks of degraded local visibility going unnoticed in at least one market at any given time.
Add a diff-tracking layer (store daily snapshots, alert only on changes rather than re-flagging static issues) Extend CANONICAL to pull dynamically from a CRM API instead of a hardcoded dict Add review-response latency tracking using the Reviews API — slow review responses are also a local ranking factor
If you're running local SEO for a multi-market company and want to compare notes on GBP automation, happy to chat in the comments. We write more about local SEO/GBP work over at the MarkoMetrics blog.