Digital Intelligence
SEO Vital Monitor
Core Web Vitals and SEO drift in acquisition language.
SEO Performance Control Plane
Search performance drift should be visible before it becomes an acquisition problem.
Monitor Core Web Vitals, Lighthouse SEO, and route-level release regressions so engineering and growth can see which pages are putting inbound velocity at risk.
Recommendation
What to recover first
Recover the pricing route first, because it combines the weakest Core Web Vitals posture with one of the most revenue-sensitive organic paths.
Coverage
What this repo makes measurable
- Core Web Vitals — route-level LCP, CLS, and INP tied to revenue-sensitive pages.
- Release regressions — explicit comparisons between prior and current builds.
- SEO health — Lighthouse score and organic sensitivity kept in the same decision surface.
Route Regressions
The release deltas most likely to reduce inbound performance.
| Route | Impact | Biggest Shift | Estimated Loss | Why it matters |
|---|---|---|---|---|
| /pricing | critical | LCP +640ms after visual pricing module expansion | 14% | The pricing route took the largest performance hit and is the clearest place where frontend weight is threatening acquisition efficiency. |
| /blog/seo-governance | watch | CLS +0.04 from image lazy-load behavior | 7% | The page still performs acceptably, but the extra layout shift will make search traffic more fragile over time. |
| /docs/aeo-linter | watch | SEO score -4 after metadata regression | 5% | The docs route lost structured quality at the same time performance slipped, which is exactly the kind of silent decay that compounds. |
Product depth
What this product does
SEO Vital Monitor turns Core Web Vitals, Lighthouse SEO, route regressions, organic sensitivity, and release ownership into one acquisition-risk surface. Non-technical leaders see which pages threaten pipeline. Technical teams see the metric, route, release, and regression evidence behind the recommendation.
GTM analyst lens
Where growth teams use it
Use it to prioritize pricing, docs, blog, and demand-entry routes by acquisition risk instead of treating performance as an engineering-only score. It shows where a release is likely to reduce discoverability, conversion quality, or inbound velocity.
Value architecture
Where revenue leaks
The system surfaces leakage from slow pages, ranking-sensitive routes, poor release comparisons, invisible vitals drift, and technical regressions that make paid and organic demand work harder than necessary.
Technical proof
What is inspectable
Static routes, API-style outputs, seeded vitals data, route-level regressions, verification checks, prerendering, tests, smoke checks, and screenshot generation keep this as a real operator surface rather than generic SEO copy.
Portfolio pattern
What these repos have in common
Each Kinetic Gain surface converts operational evidence into board-readable decisions: owner, signal, model, risk, value, route, and verification stay visible together.