Website Intelligence

Use AGNURA Add Lead to POST analysis JSON to your webhook: Shopify platform label, detected email, configured URL, n8n-style setup, and security warnings for contact data.

Export AGNURA website analysis as JSON: Copy JSON vs Download JSON, what the file contains, how it differs from SEO JSON and Apollo CSV, and how to handle contact data safely.

When AGNURA labels a prospect Shopify vs WordPress, which research signals change: platform/theme, product vs post counts, chat, marketing tags, and contacts. No platform superiority claim.

How to read AGNURA chat-widget and marketing-stack detections: what signature matching covers, why lazy-loaded or custom tools are missed, and how to use signals without treating them as proof.

What AGNURA’s support opportunity score measures, the exact DOM formula and labels, when the number helps triage, and when treating it as precise ranking becomes false precision.

Find public emails, phones, and location hints on a company site: what to check by hand, what AGNURA scans on the tab and same-origin contact pages, and how to use contacts ethically.

How AGNURA guesses WordPress, Shopify, and other stacks from meta, assets, and globals; how theme detection works; why confidence is not proof; and how to use signals safely.

AGNURA’s Pages metric counts unique URLs from /sitemap.xml only: nested maps, safety caps, alternate-root limits, and why the number is not site size or indexed pages.

How to scrape visible Apollo.io company rows into AGNURA local storage, export CSV, and work within DOM-only limits: scroll first, no API, no pagination automation.

A practical workflow to research a prospect site in the browser, verify public signals by hand, then write an email from only what you can defend.

Website intelligence means reading public site signals before you write. How it differs from enrichment and crawling, and how AGNURA’s active-tab research fits.