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About this audit

Human-level QA of a whole website, page by page

An automated pre-launch audit that compares Novatec's rebuilt staging site against the live production site — reading and looking at every page — to catch dropped, altered, and broken content before launch, and present it so a developer can fix it in one click.

LIVE · www.novatec.com STAGING · stg-novatec-updated.kinsta.cloud
158
confirmed issues
29
visual defects
331
pages rendered
973
screenshots

The challenge

A site migration silently breaks content in dozens of subtle ways: a product page inherits another product's copy, a spec number changes, an image swaps to the wrong product, a contact form stops rendering, a heading truncates, a datasheet mis-transcribes a model number. Reviewing ~200 pages by eye takes days and misses things. The goal was human-level, word-by-word comparison at scale — reliably, and presented so a developer can act immediately.

It is hard because the two sites use different templates (naive text comparison drowns in nav/footer noise), staging serves malformed HTML that breaks standard parsers, many differences are intentional redesigns rather than defects, the worst defects (wrong images, broken layout, missing forms) are invisible to any text diff, and datasheets exist as PDFs on live but HTML pages on staging.

Three evolving passes

Pass v1 · broad sweep

Sitemap + text

Header/footer-stripped word comparison plus SEO, links, and structure checks. Surfaced launch blockers: site-wide noindex, 98 product URLs needing 301 redirects, missing canonicals, broken links.

Pass v2 · accurate mapping

Full mapping + text classification

Authoritative URL pairing from the client's crawl exports, word-diffed, then an 83-agent workflow classified each change with adversarial verification. Found 21 confirmed issues — but text can't see images or layout.

Pass v3 · flagship

Human-level: rendered + vision

Every page rendered in a real browser (visible text + full-page screenshot); datasheets checked against their source-PDF pages. A 286-agent vision workflow then looked at both screenshots and read both texts for every unit, catching visual defects the text passes were blind to.

How the v3 pipeline works

What it found

Of 1,000 live HTML pages, 214 were in scope after excluding Spanish, knowledge-center, reps, states, and listing pages. The v3 pass confirmed 158 issues (51 high, 66 medium), including two product pages serving 404s, a vacuum-pump page showing a dryer's copy and image, blank expert headshots, 37 pages missing their contact form, wrong distributor contact details, and 129 datasheet-vs-PDF transcription errors.

Systematic patterns (fix once, clears all)

A correctness win from vision: many pages the text pass flagged as "wrong/dropped content" were actually intentional category-page redesigns. The vision pass correctly reclassified 14 of them as deliberate, not defects.

Deliverables

Three dashboards — v3 (human-level), v2 (text), v1 — plus companion files: the full report, the URL-mapping spreadsheet, the raw verdicts JSON, and two browsable screenshot galleries (shots and pdfimg). Every dashboard issue is fix-ready: a plain-English description, the exact live-vs-staging values, and one-click Open-staging / Open-live buttons.