Y
yahoo.com
CRO Recommendations — September 2026
Method

Pipeline architecture

A multi-agent audit system: parallel specialist analysis over a rendered crawl, deterministic verification and scoring, and a QA-gated render path. Model output is treated as untrusted input at every boundary.

1 · Rendered crawl
Headless-rendered fetch of 6 pages (desktop + mobile viewport) with full-page screenshot capture. Link graph scored for commercial intent; structured extraction of headings, CTAs, forms, nav and prices. 0 tokens.
2 · Parallel analyst fan-out
7 independent analysts run concurrently — six heuristic dimensions (funnel path, message clarity, form friction, trust, pricing transparency, navigation) plus one deterministic measurement pass (Chrome UX Report field data, WCAG checks, security headers, SEO metadata, response timing). Each heuristic analyst must quote live page copy as evidence; findings without evidence are rejected downstream.
2b · Crawl-integrity gate
2 absence claim(s) on incompletely-rendered pages were discarded. Bot-detection interstitials and script-blocked widget fallbacks produce text a real visitor never sees; any finding built on such text describes the crawler's experience, not a customer's, and is discarded before synthesis. 0 tokens.
3 · Synthesis with provenance
Findings merged and de-duplicated. Measured findings bypass the merge — facts are never reworded by a model. Analyst attribution survives, producing the "flagged by N of 7" agreement signal.
4 · Deterministic scoring
PXL prioritisation, effort brackets, opportunity ranges and two-proportion z-test sample sizes are pure arithmetic (α=0.05, power=0.80). No model produces a number a reader might act on.
5 · Mockup render + QA gate
Before/after mockups generated per finding, then validated by a two-layer gate: deterministic structural checks (missing columns, overflow tokens, placeholder copy, unsafe markup) plus a model review. Failures are regenerated once with their defect list; a second failure drops the mockup rather than shipping it broken. All generated markup is sanitized — anchors, scripts, inline styles and off-system classes are stripped.
6 · Assembly + exports
Static report generation with the client's extracted brand accent, plus CSV/JSON backlog, PDF summary and PPTX deck. 0 tokens.

Inference trace

Every model call in this run. Deterministic stages (crawling, measurement, scoring, sizing) consume zero tokens by design.

StageModelCalls Tokens inTokens outInference time
Synthesisdeepseek/deepseek-chat12,9552,16111.0s
Prioritizationdeepseek/deepseek-chat12,9493,10515.7s
Form / Frictiondeepseek/deepseek-chat15,4903984.3s
Message Claritydeepseek/deepseek-chat15,4976297.0s
Nav & Distractiondeepseek/deepseek-chat15,4925055.8s
Trust & Objectiondeepseek/deepseek-chat15,4944924.8s
Pricing Transparencydeepseek/deepseek-chat15,4922042.9s
Funnel-Path & Commerce Claritydeepseek/deepseek-chat15,4904524.5s
QA gatedeepseek/deepseek-chat21,731302.3s
Mockup planningdeepseek/deepseek-chat1114,1893,06231.1s
Total21 54,77911,038 89.3s

Toolchain

LayerTooling
Crawl & captureHeadless rendered crawling with screenshot capture, desktop + mobile viewports
Field performanceChrome UX Report (real-user p75) via the PageSpeed Insights API
Static analysisDeterministic DOM, metadata, security-header and robots/sitemap checks
InferenceMulti-provider LLM routing with automatic failover; per-call token accounting above
StatisticsTwo-proportion z-test sample sizing; severity-decay surface grading
OrchestrationParallel DAG execution, per-stage isolation, evidence-preserving merges

Evidence boundaries

Evidence typeAvailable in this run
Live page content and structureYes — rendered crawl
Core Web Vitals (real users)No — the configured Google API key does not have the PageSpeed Insights API enabled; enable it
Accessibility / security / SEO measurementYes — deterministic
Mobile renderingYes — separate viewport pass
Analytics / funnel drop-offNo — no account access
Session recordings, heatmaps, user testingNo
Epistemics Findings marked verified are reproducible measurements. Everything else is structured expert inspection — a hypothesis with quoted evidence, which is exactly why the PXL evidence questions score it at zero. Opportunity figures are assumption-bounded ranges, never forecasts: across ~127,000 experiments, roughly 12% produced a significant win, and winners systematically overstate their true effect.

PXL rubric

QuestionWeightOrigin
Is the change above the fold?1Standard PXL
Is the change noticeable in under 5 seconds?2Standard PXL
Does it add or remove an element?1Standard PXL
Does it run on a high-traffic page?1Standard PXL
Discovered via user testing?1Local extension
Discovered via qualitative feedback (survey, support)?1Local extension
Supported by heatmaps or session recordings?1Local extension
Found via digital analytics or real-user field data?1Local extension
Verified by direct technical measurement?1Local extension

Benchmarks cited