Step-by-step playbooks

The full searchable list of Google Business Profile categories, with sector and pattern filters, plus how the category system works and why primary category is the highest-leverage GBP field.

The deepest current treatment of how Google's local algorithm works. Relevance, distance, prominence, behavioral signals, every named update from Pigeon to the May 2026 core refresh, and the AI Overview retrieval layer.

The technical deep-dive on query fan-out: how AI Mode, ChatGPT Search, Claude, and Perplexity decompose one user query into eight to fifteen sub-queries, why local queries fan out hardest, and the May 2026 retrieval playbook for being cited across the full fan.

Knowledge Graph, Wikidata, schema graphs, sameAs convergence, and the entity stack that powers retrieval across both traditional SEO and AI assistants. The May 2026 playbook.

What local SEO actually is, why it's different from regular SEO, and the full ranking-factor stack: GBP, citations, reviews, schema, and beyond.

Every field, signal, and lever inside GBP, including the ones that actually move rankings. The complete optimization playbook, in order.

Proximity, prominence, relevance. What actually decides Map Pack rankings, and the practical levers you can pull on each one.

The unsexy work that quietly powers local rankings. How to audit your NAP, fix duplicates, and build a citation footprint that holds.

A repeatable review-generation system that doesn't feel scummy. Timing, channels, scripts, and how to handle negatives.

How local businesses get named when customers ask AI for a recommendation: the record, reputation and earned-media levers that win commercial queries.

Running local SEO across 10, 50, or 500 locations. Architecture, GBP at scale, location pages that don't get duplicate-content flagged.

The operational playbook for delivering local SEO as a service. Pricing, deliverables, white-labeling, and the tooling stack that scales.