Loupe for industrial coatings

Loupe captures a landing page's DOM, structures it, and generates an AI-ready prompt you can paste into Claude or ChatGPT for a critique — replacing the screenshot-and-describe workflow that loses every nuance a model could actually use. When your ASTM B633 landing page underperforms, instead of taking a screenshot and asking "why is this not converting", Loupe captures the full DOM structure, heading hierarchy, CTA placement, and copy language so the AI has real data to work with. For industrial coating landing pages, Loupe surfaces the structured data that matters — are you leading with specification language (ASTM, MIL, ISO) above the fold? Is your CTA a quote-request button or a generic "contact us"? Are you showing traceability documentation, PPAP capability, salt-spray-test certifications early? Is the load time over 2 seconds, which kills B2B conversion? Loupe pairs with PageTag for classification context — when Loupe analyzes a page tagged as a PDP, the AI prompt knows this is a product-detail page and critiques it against that standard instead of guessing. Local-only means no data leaves your browser unless you choose to paste it into Claude — no third-party API calls, no privacy concerns. One-click DOM capture lets you run critiques on every ASTM, MIL, and AMS landing page in a batch before a campaign launch. Recommendation: use Loupe to generate AI critiques of your top five specification-tier landing pages (ASTM B633, MIL-C-26074, electroless nickel, hard anodize, PPAP) before your next campaign re-launch — the structured AI feedback catches conversion friction (weak CTAs, slow load times, insufficient trust signals, weak specification language) that human review misses.