Platform Metrics Baseline — May 2026

This is the first complete operational metrics baseline for the AI Execution Lab platform and the A Square Solutions ecosystem. Every number here was captured from live production on 2026-05-19. Future audits will reference this document as the starting point for measurable improvement tracking.

Ecosystem Uptime — 2026-05-19T04:58:07Z

Live HEAD checks via scripts/ingest-uptime.mjs:

Ecosystem uptime: 5/5 (100%)

Notable: project.asquaresolution.com latency at 1047ms is 4× higher than the Lab. This subdomain serves no active product and has no optimization investment. Not a concern currently but worth monitoring as baseline.

Average latency across all properties: 511ms

Lab Platform Sitemap Health — 2026-05-19T05:00:15Z

Full verification run (all 313 URLs) via scripts/ingest-sitemap.mjs --full:

313/313 URLs live. No 404s, no redirect loops, no unreachable content. This is the first verified sitemap baseline — every future sitemap check references this as T+0.

Content Corpus — 2026-05-19

Section depth

Total: 88 published items across 7 sections

All sections active within 2 days. Publishing velocity at this baseline: average 10+ items per day across the build sprint.

Evidence density — primary gap

Platform-wide evidence coverage: 3/88 (3.4%)

This is the single largest operational gap at baseline. Evidence-free content has lower GEO citation probability and reduced trust signals for AI retrieval systems. The target is 40%+ of high-value sections (failures, case-studies, logs) carrying evidence within 30 days.

Evidence means: evidence_images: or external_refs: in frontmatter. Even one screenshot or one source link per item qualifies.

Failure intelligence coverage

100% scoring is a hard-earned state. Every published failure has a confidence score, instance count, prevention steps, and recovery complexity. The failure intelligence layer is fully operational.

GEO Query Coverage — 2026-05-19

Total coverage: ~60% — 13/21 queries have content targets

Owned queries (content published specifically for this platform): 10 Competitive queries (content exists but not ranked): 3 Gap queries (no content): 8

The 8 uncovered queries are primarily in operational and comparative categories. These have the lowest current competition and highest opportunity for this platform's specific positioning — platform operators, not beginners.

Top priority GEO gap (immediate)

"what is operational evidence in software"
category: definitional
difficulty: gap (no competition)

No content exists anywhere for this specific query. A 500-word definitional doc directly answering this would be the first piece. This platform has original definitions based on real operational practice that no other source has.

Lighthouse / Performance — 2026-05-19

PSI API quota exceeded (429) — no data from this run. Schedule Lighthouse run with PAGESPEED_API_KEY set in .env.local to establish performance baseline.

Expected: performance and SEO scores above 90 for a Next.js SSG platform deployed on Vercel with no client-side data fetching. First confirmed run required to establish baseline.

Google Search Console — Not yet ingested

GSC snapshot at baseline: totalClicks: 0, totalImpressions: 0

The GSC ingestion script exists (scripts/ingest-gsc.mjs) but no CSV export has been run yet. Next action: export GSC Performance data (last 28 days) from Google Search Console → run node scripts/ingest-gsc.mjs <path/to/export.csv>.

This is the most important metric to establish. Once ingested:

• Total organic impressions become the baseline impression count
• Average position becomes the baseline rank
• Top queries reveal what Google already associates with this domain
• Indexing issue list surfaces any crawl gaps

All future GSC snapshots will show delta from this baseline.

Operational Signals — 2026-05-19

Platform-wide signal count at baseline (computed at build time from corpus):

Zero critical signals at baseline — the platform has no blocking operational gaps.

The most actionable signal category: weak_geo_cluster — zero queries in the "operational" and "comparative" categories have content targets.

Deployment Stability — 2026-05-19

Vercel deployment history not yet ingested (requires VERCEL_TOKEN + VERCEL_PROJECT_ID in .env.local).

Known from direct observation:

• Last deployment: 2026-05-19 (today — platform intelligence layer shipped)
• Build system: Next.js 15 SSG, Vercel
• Build failures in last 30 days: 1 (edge-runtime-deployment-failure, 2026-05-10, resolved in 23 minutes)
• Current deployment: stable, all 313 URLs live

What This Baseline Establishes

This document marks the transition from infrastructure build mode into execution compounding mode. From this point:

1. Every operational action has a before-state to measure against
2. Every content piece added increases the 88-item corpus count
3. Every evidence addition improves the 3.4% coverage rate
4. Every GSC export will show impression/click delta from the zero baseline
5. Every Lighthouse run will establish then track performance scores
6. Every uptime check will show latency trends against the 511ms baseline

The moat compounds through measurement. Undocumented improvements disappear. Measured improvements compound.

Next Measurement Actions

The next metrics snapshot after GSC ingestion will show the first real search data.