supportmate.com.au website review

3 files block the first paint until they finish downloading. Deferring or inlining them could save about 700 ms.

2 images could be 130 KiB smaller with modern formats (WebP or AVIF) and sizes that fit a phone screen.

About 80 KiB of JavaScript is downloaded but never used on this page.

2 third-party services load with your homepage (Calendly and Google Fonts), adding 59 KiB and 4 ms of main-thread time.

2 files are served with short cache lifetimes, so returning visitors download them again (7 KiB).

Critical files load one after another instead of in parallel (3 chains). Preconnecting to key origins and preloading the hero image shortens the chain.

The layout shifts by 0.129 while loading, so content jumps under the reader's thumb. Good is under 0.1.

Chrome's UX Report (opens in a new tab) has too little real-visitor traffic for this site, so the figures here are lab measurements from Google's test phone on a throttled 4G connection.

1 image is downloaded at several times the size a phone draws it, for example roster-calendar-Pf_nBchc.png at 1,452 px wide, shown at 342 px. Resized copies would save about 67 KiB.

1 image (134 KiB) is JPEG, PNG or GIF. The same pictures as WebP or AVIF are usually much smaller at the same quality, and every current browser shows them.

2 images further down the page (45 KiB) download before anyone scrolls to them. Adding loading="lazy" lets the first screen load first.

By the Sustainable Web Design model, a visit to your homepage emits about 0.13 g of CO₂e: 15.2 kg a year at 10,000 visits a month. It scales with page weight, so every byte cut lowers it.

12 text elements don't have enough contrast against the background to read easily, especially outdoors on a phone.

Your meta description is 174 characters; Google truncates after about 160, so the end of your pitch is cut.

No Open Graph image, so links shared on LinkedIn, Slack or Facebook show no preview picture.

The homepage links to 24 pages on supportmate.com.au and 3 external pages.

Your Organization JSON-LD is missing logo, sameAs (social profiles) and description. These are the facts AI assistants use to describe a business and to tell it apart from others with a similar name.

There is no https://supportmate.com.au/llms.txt, a short Markdown guide to your key pages for AI tools (llmstxt.org). It is optional and few AI tools read it yet, so treat it as a cheap extra.

We fetched 6 pages linked from your homepage and read each the way a search engine does.

2 errors were logged to the browser console while the page loaded, for example “Access to XMLHttpRequest at 'https://assets.calendly.com/assets/external/widget.css' from origin 'https://supportmate.c…”.

Your homepage shows a street address but no LocalBusiness JSON-LD, so Google and AI assistants have to guess your address, hours and phone from the page text.

A local customer looking to call finds no phone number on the homepage. Add one, ideally as a tap-to-call link.

Social proof on the homepage: “350+ Companies”. Pairing it with named testimonials or customer logos makes it far more convincing.

No analytics or tag manager detected in the HTML, so you can't measure whether any of these fixes work.

The homepage shows no opening hours. If customers visit or call, show when.

There is no form on the homepage, so every lead has to click through to another page first.

There is no link to Google or Apple Maps. A directions link is one tap for a phone visitor.

The homepage carries about 929 words of visible text.

Opening the homepage sets 2 cookies, 1 of them by other companies (measured from a US location before any click).

No known cookie consent tool loads with the page. Some sites build their own banner, and some only show one to visitors from the EU.

Loading the homepage contacts 3 hosts run by other companies (fonts, scripts, analytics, ads), each of which sees the visitor's IP address.