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What 515 Australian business websites reveal about AI readiness

In a historical Quick Scan sample of 515 Australian websites, 91.5% scored lower for AI readiness than for visibility signals. Explore the figures, download the summary, and understand what these screening scores can and cannot tell you.

Two screening scores, a 29-point gap

Across 515 sites, the mean visibility score was 73.4 out of 100 and the mean AI readiness score was 44.4. AI readiness was lower on 471 sites (91.5%). 66.2% of the sample scored under 50 for AI readiness; 149 sites (28.9%) scored at least 70 for visibility signals while scoring under 50 for AI readiness. These are category scores from the historical Quick Scan engine. They do not establish Google rankings, traffic, inclusion in AI answers or actual citations.

Results across the four reported segments

All four reported segments had a lower mean AI readiness score than visibility score. The table reports 500 of the 515 sites; the other 15 are included in the overall mean but not assigned to a group here. Group averages describe this sample only.

  1. Accountants (83 sites): visibility 69.1, AI readiness 36.3; gap 32.8 points.
  2. Real estate agents (139 sites): visibility 67.9, AI readiness 37.1; gap 30.8 points.
  3. Web developers (135 sites): visibility 75.0, AI readiness 47.5; gap 27.5 points.
  4. Marketing agencies (143 sites): visibility 77.7, AI readiness 51.4; gap 26.3 points.

What the agency result says

Of the 143 marketing agency sites, 56.6% scored below 50 on historical AI readiness signals. Of the 135 web developer sites, 62.2% did. That is a reason to inspect the underlying observations, not evidence that those businesses fail to appear in AI answers. We did not test why a site scored this way, so explanations about agency workload or skill would be speculation.

What readiness means here

A screening score summarises selected public website signals. It can prompt a closer review of crawl access, visible business information and content structure. It does not measure search ranking or prove how a particular AI service uses the website. Google states that its AI search features follow normal SEO foundations and do not require special AI files or schema. Check the provider guidance and recorded evidence before treating a readiness score as an optimisation prescription.

How the sample was built, and what it does not prove

The original aggregate query responses were recorded on 14 September 2026. They describe 515 distinct Australian .au domain strings scanned between 22 June and 10 September 2026. The cohort selected completed Quick Scans with a non-null overall score, using the latest scan per exact domain string. The date range describes the data available at the time; the SQL did not impose an explicit date filter. Download the recorded aggregate results and original SQL from the links on this page. These files contain grouped results without individual domains or contacts. They are a historical snapshot, not a frozen database export: new scans and data retention can change later query results. 503 came from our prospect pool. This is not a random cross-section of Australian businesses, and does not support a claim about all Australian websites. The scores come from the screening engine at that time; later engine changes mean current scans are not directly comparable. We have published aggregates, not domain-level results. A difference between the two scores is descriptive; it is not proof that one causes traffic or citation loss.

Use the findings in your own work

Download the aggregate CSV or chart, quote the sample dates and limitations, and link to this page as the source. Suggested citation: AuditHQ (14 September 2026), AI readiness study of 515 Australian business websites. Historical Quick Scan screening scores; non-random sample. The downloads include that context so it remains attached when a chart or table is shared.

Check your website with current evidence

Use a new free scan as a starting point for reviewing your own public website. Inspect the underlying findings before deciding what to fix. Use Search Console or your own analytics to measure actual visits, and recorded provider responses to investigate actual AI appearances. Do not use this historical study as a current ranking test.

Frequently asked questions

Does a low AI readiness score mean a website is invisible in AI search?

No. These historical screening scores did not measure whether an AI system cited, recommended or visited the website. They identify public signals for review.

Are these figures representative of all Australian businesses?

No. The sample came largely from prospect research and is not random. The results describe these 515 websites in the stated date range.

Can I compare a current scan with these scores?

Treat the figures as a historical snapshot. The engine has changed since the study, so a current score is not directly comparable without matching methodology.

Can I cite or share these findings?

Yes. Cite AuditHQ, link to this page and retain the sample dates and limitations. The downloadable summary and chart include the context.

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