Become the obvious choice when nearby customers search.

seog.ai · Open the app · The Local SEO Manual

Local SEO is not the SEO that ranks a blog post. The ranking factors are different, the results page is different, and the thing being ranked is not your website at all — it's an entity record in Google's index that you mostly don't control.

SEOG is a platform for the businesses that live or die by that record: read the signals, see where you actually rank, and get a prioritized list of what to fix next.

• Rank on a map, not a number — geo-grid scans that show where a business ranks at its own front door and where it disappears three miles out.
• Google Business Profile, managed — profile audits and fixes, photos, posts, and review replies published straight to Google.
• Reviews — sync full history, triage by status/rating/comment, reply manually or with an assisted draft.
• Competitors — who's in the pack, what they changed, and what's actually driving the gap.
• AI visibility — whether an AI assistant recommends the business when someone asks it a local question, measured rather than guessed.
• Citations, website and Search Console — NAP consistency, schema, and the on-site half of the work.
• Built for agents — every operation above is reachable by an AI agent over MCP, not just through the UI.

learn.seog.ai · source: local-seo-manual · CC BY 4.0

49 chapters that teach local SEO from zero and then keep going past where every other guide stops. Two things in it aren't available anywhere else:

1. A field reference built from live probes, not documentation. A dated capability matrix of the Google Business Profile APIs — what works, what's gone, what never worked despite the UI offering it — with the probe that established each fact. (Google's own deprecation page still doesn't mention that the Q&A API was retired.)
2. Measurement written honestly, including where it breaks — how to read a geo-grid without fooling yourself, why two rank trackers disagree, and the structural reason map-pack grid tracking cannot work for service-area businesses.

Every chapter is theory → lab → what good looks like. The labs run in SEOG, and there's an appendix covering the manual path for each one if you'd rather not.

Most of this org is private — the platform itself (API, product app, marketing site, admin, docs, mobile shell) ships from separate repos, one deployable each. What's public:

Corrections and issues on the manual are welcome — open one. For anything about the platform: seog.ai.