Local SEO is a street-by-street business. The opportunity is not spread evenly across the internet; it sits in one trade, in one town, where half the sites were built once and never revisited.
Those sites share the same failures with tiring regularity: no address in the markup, no LocalBusiness schema, a phone number that is an image rather than a tappable link, and no map reference anywhere on the page.
Scanning a trade list in one pass turns that pattern into a work queue instead of an afternoon of tab-switching.
Every point below comes from signals collected during the scan.
Address presence, map references, tappable tel: links and contact-page reachability are recorded for every site.
See at a glance which businesses have no structured data at all — the single most common local gap.
A 0–100 read on how easily an AI assistant can understand and cite the site, from schema, headings and metadata.
Filter by country, technology or issue type to keep each outreach batch tightly themed.
A focused list of thirty to two hundred businesses is the right size for a single campaign.
Missing schema and missing address signals rise to the top of the queue.
The audit report explains the gap in plain language before it gets technical.
Structured data is now how search engines and AI assistants understand a business at all.
Stop pitching "we can improve your rankings". Start with the exact technical gap on their page.
Most visitors arrive on a phone. Plenty of small business sites still assume they do not.
