About Local SEO Lab
Local SEO Lab is an independent publication about building, structuring, and improving websites for local search.
What we cover
Our coverage includes local SEO website architecture, AI website builders, rank-and-rent systems, technical publishing, AI search, and software used by local SEO operators and agencies.
How we publish
We aim to separate researched facts from inference, avoid fabricated experience, and consolidate overlapping search intents rather than creating thin pages for every keyword variation.
Start with the real-world entities
Document the business, services, locations, audiences, problems, questions, proof, and next actions involved. These relationships should shape the site before keywords are assigned to URLs.
Cluster by intent, not wording
Merge query variations when one page can satisfy them well. Separate destinations when the desired outcome, SERP, commercial behavior, or required information is meaningfully different.
Make the page useful on its own
Answer the core question early, then add the details needed to make a decision or complete a task. Remove generic filler and avoid repeating the same explanation across multiple pages.
Connect the page to the site
Every indexable page should link naturally to its parent, useful sibling resources, and the next relevant step. Breadcrumbs and category hubs should make the hierarchy obvious.
Review before publishing
Verify factual claims, metadata, canonical behavior, mobile layout, internal links, structured data, and the intended conversion path. A page is complete only when it works as part of the whole site.