Lab data and field data
Lighthouse lab data is a controlled test. Chrome UX Report field data reflects eligible real-user visits. The report labels each source and does not substitute one for the other.
Run live Google Lighthouse tests for mobile and desktop, inspect public SEO and conversion signals, and receive an AI explanation grounded in the measured evidence.
AI explains measured inputs and generates recommendations. It does not replace a full technical or advertising-account audit.
Mobile and desktop results are requested from Google's PageSpeed Insights API, which runs Lighthouse performance, accessibility, best-practices and SEO audits.
The report exposes Lighthouse metrics, failed audits and performance opportunities instead of hiding them behind a single score.
Asif Digital's server separately inspects public HTML for titles, canonical tags, headings, schema, crawlable text, conversion paths and trust evidence.
If Google PageSpeed is unavailable, no performance score is invented. The page is labelled a partial audit and shows the exact unavailable data source.
Lighthouse lab data is a controlled test. Chrome UX Report field data reflects eligible real-user visits. The report labels each source and does not substitute one for the other.
Lighthouse scores can vary with server response, network conditions, third-party scripts, A/B tests and the tested device strategy. Use the detailed audits to identify repeatable issues.
AI reads the verified Lighthouse and page-inspection findings to prioritize them for the selected industry, market and goal. It does not create the underlying measurements.
A public-page test cannot see Search Console, analytics, CRM data, backlinks, rankings, private integrations or actual conversion revenue.
Yes when the report displays the Google Lighthouse verified badge and test timestamp. If Google's API fails, the tool shows a partial audit and does not invent performance values.
PageSpeed runs from Google's infrastructure with defined mobile or desktop settings. DevTools runs from your own device and network, so some variation is normal.
No. Google Lighthouse supplies its own category scores and metrics. AI only explains and prioritizes those findings.
No. Technical quality matters, but rankings also depend on relevance, content, authority, competition and many other signals.
It can measure the same technical signals. A human bilingual review is still needed for language quality and local intent.
No. It performs a read-only request against public URLs.
Build an AI-generated plan from your specific business inputs.
Analyze real campaign numbers and verified formulas.