What SOGLM Optimizes
SOGLM treats search growth as an evidence graph. It keeps technical availability, search impressions, AI answer readiness, and event telemetry in one decision surface.
Schema
The schema is intentionally boring: each record needs a source, a confidence level, evidence, and a next action.
SOGLM treats search growth as an evidence graph. It keeps technical availability, search impressions, AI answer readiness, and event telemetry in one decision surface.
Use it for portfolios of small sites where the real bottleneck is not ideas, but choosing which reachable, indexable, answer-ready page should get attention next.
Fix blocked routes first, then low-click high-impression pages, then answer-ready content gaps, then funnel events with proven demand.
Each signal should point to one practical next action.
| Signal | Question | Next action |
|---|---|---|
| Crawl health | Is the public route reachable and canonical? | Fix DNS, route, sitemap, robots, and redirects first. |
| Search demand | Which terms already show impressions? | Rewrite titles and summaries around exact user intent. |
| AI answer fit | Can an answer engine cite the page safely? | Add clear definitions, facts, tables, and source-like sections. |
| Conversion signal | Does the page send useful events? | Track page, section, CTA, checkout, and failure events. |
| Action priority | Which fix has the highest expected value? | Rank by evidence strength, effort, upside, and urgency. |
{
"node": "query_cluster:ai_search_monitoring",
"type": "query_cluster",
"evidence": [
"GSC impressions",
"Bing crawl status",
"AI answer citation check"
],
"confidence": 0.78,
"action": "rewrite canonical page title and add answer-ready source section"
}