Your site is slow.
Your revenue proves it.

AuditJet answers this directly. Paste your URL, enter your monthly revenue and visitor count, and AuditJet's revenue impact model calculates your monthly and annual loss based on your site's current LCP. The model is anchored to published conversion research — at 3s LCP a typical ecommerce site loses around 14% of conversions compared to a 2s baseline. You can run a free audit in 30 seconds without an account.

PageSpeed Insights gives you a score and a list of diagnostics — it does not tell you what those issues are costing you, how to fix them with specific code changes, or whether they have gotten worse since your last deploy. AuditJet uses the same Lighthouse engine under the hood but adds a revenue impact model, AI-generated code-level fix plans, Real User Monitoring for pages behind a login, and scheduled monitoring that alerts you the moment a regression is detected.

Shopify stores lose sales when checkout and product pages are slow — yet PageSpeed can only measure public pages. AuditJet's Real User Monitoring captures p75 LCP, INP, and CLS from real shopper sessions including /cart, /checkout, and post-login account pages. The revenue model is pre-configured for ecommerce conversion benchmarks, so you get a dollar figure attached to every slow page — not just a red score.

Core Web Vitals monitoring is the practice of continuously measuring LCP, INP, and CLS — Google's three user experience metrics — on a scheduled basis so teams can detect regressions before they affect search rankings and conversion rates.

AuditJet runs scheduled synthetic Lighthouse scans on each configured page using mobile CPU throttling and 4G network simulation. When a metric crosses the configured threshold, it fires an alert via Slack, email, or webhook within the next scan cycle.

AuditJet uses a revenue impact model that maps LCP, INP, and CLS values to estimated conversion rate changes based on published performance-to-conversion research. The model multiplies the estimated conversion impact by the site's monthly revenue to produce a monthly and annual loss figure. If you haven't entered your revenue data, the model falls back to industry benchmark values and clearly labels the estimate as such.

Yes. AuditJet's Agency plan includes white-label PDF reports with configurable agency logo, primary color, agency name, and website. Reports are generated on a scheduled basis and delivered to client email addresses.

Ecommerce brands benefit most — checkout and product page speed directly affects conversion rates and average order value. SaaS companies monitor onboarding and dashboard pages where slow INP causes churn. Digital agencies use AuditJet to maintain client site health and turn performance data into a client-facing revenue story that justifies retainer fees.

AuditJet ramps concurrent users from 10 to 200 in six stepped waves — 10, 25, 50, 100, 150, and 200 virtual users — and measures p95 latency and error rate at each step. The test stops the moment your site breaks and returns the exact concurrent-user threshold. No k6 setup, no infrastructure, no DevOps ticket required. Results in around 60 seconds.

AuditJet's AI diagnosis reads six data sources simultaneously — Lighthouse lab scans, Google CrUX field data, Real User Monitoring, load capacity test results, revenue impact incidents, and open fix tasks — and generates a 2–4 sentence brief that names the specific metric causing the most revenue loss, identifies the root cause, and gives one concrete next action. It refreshes every six hours or on demand.

The AI Search Visibility audit checks whether AI search engines — including ChatGPT, Perplexity, Claude, and Gemini — can crawl and recommend the site. It verifies llms.txt is present and well-formed, confirms AI bots are not blocked in robots.txt, validates JSON-LD structured data, and scans the sitemap for missing or unindexable pages. Results are scored out of 100 with specific remediation steps.