SV

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.

Routes
5
Modeled routes currently tracked for vitals and SEO regression posture.
Critical
1
Routes already below safe performance thresholds for revenue-sensitive search entry.
Watch
2
Routes drifting toward a search or conversion regression if the next release lands unchanged.
Avg SEO
92
Average Lighthouse SEO score across the modeled route set.
Avg LCP
2756ms
Current average Largest Contentful Paint across monitored pages.

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.