Audited 2026-05-14 · AI Visibility Index

The Sydney AI Visibility Index

25 Sydney brands, ranked by how ready their websites are to be read and cited by AI engines.

25 brands · average 43.2/100 · median 44 · top score 58

What the scan found

→16 of 25 brands (64%) score an F. The city average is 43.2 out of 100.
→Raiz Invest leads on 58. Morse Micro sits bottom on 20, a spread of 38 points inside one city.
→The most common critical gap is product/service schema, flagged on 23 of 25 brands, then llms.txt presence on 15.
→Structured data is the weakest category here, averaging 28 out of 100.

Full ranking

#	Brand	Score	Grade	Biggest gap
1	Raiz Invest	58	D	Wikidata entity
2	Immutable	56	D	Product/Service Schema
3	Employment Hero	54	D	Product/Service Schema
4	Prospa	54	D	llms.txt Presence
5	SiteMinder	52	D	Product/Service Schema
6	Koala	52	D	FAQ Schema
7	Deputy	51	D	Product/Service Schema
8	Atlassian	50	D	Product/Service Schema
9	SafetyCulture	50	D	llms.txt Presence
10	Paytron	49	F	Product/Service Schema
11	Shippit	47	F	llms.txt Presence
12	Appen	45	F	llms.txt Presence
13	Dovetail	44	F	llms.txt Presence
14	Superhero	43	F	llms.txt Presence
15	Rokt	43	F	Product/Service Schema
16	Ignition	43	F	llms.txt Presence
17	Amber Electric	41	F	llms.txt Presence
18	Brighte	40	F	llms.txt Presence
19	Eucalyptus	38	F	llms.txt Presence
20	Zip Co	36	F	llms.txt Presence
21	WiseTech Global	34	F	llms.txt Presence
22	Frollo	34	F	llms.txt Presence
23	Canva	23	F	llms.txt Presence
24	Tyro Payments	23	F	Product/Service Schema
25	Morse Micro	20	F	llms.txt Presence

Scores measure website readiness for AI citation, not how often a brand is currently cited. A low score is a fixable gap, not a verdict on the business.

Methodology

Each brand's public website was audited on 2026-05-14 against 94 checks across 8 categories: AI crawler access, structured data, content quality, trust and authority signals, and technical delivery. The composite is normalised to 0-100 and graded. Brands were selected as recognisable companies headquartered in or strongly associated with Sydney.

This measures how readable and citable a site is to AI engines. It does not measure how often each brand is currently named in AI answers, which BrandCited tracks per brand rather than per city.

Source run: 2026-05-14-sydney-scan-results.json. Published under CC BY 4.0, so press and analysts are welcome to cite these numbers with attribution.

Other AI Visibility Indexes

Amsterdam

Top: Finom

Avg 40.5

Bangalore

Top: Jupiter

Avg 37.3

Berlin

Top: Babbel

Avg 36.8

Chicago

Top: Sprout Social

Avg 44.8

Los Angeles

Top: ServiceTitan

Avg 14

Melbourne

Top: Marketplacer

Avg 45

See all 22 city indexes

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What the scan found

→16 of 25 brands (64%) score an F. The city average is 43.2 out of 100.

→Raiz Invest leads on 58. Morse Micro sits bottom on 20, a spread of 38 points inside one city.

→The most common critical gap is product/service schema, flagged on 23 of 25 brands, then llms.txt presence on 15.

→Structured data is the weakest category here, averaging 28 out of 100.

Full ranking

#	Brand	Score	Grade	Biggest gap
1	Raiz Invest	58	D	Wikidata entity
2	Immutable	56	D	Product/Service Schema
3	Employment Hero	54	D	Product/Service Schema
4	Prospa	54	D	llms.txt Presence
5	SiteMinder	52	D	Product/Service Schema
6	Koala	52	D	FAQ Schema
7	Deputy	51	D	Product/Service Schema
8	Atlassian	50	D	Product/Service Schema
9	SafetyCulture	50	D	llms.txt Presence
10	Paytron	49	F	Product/Service Schema
11	Shippit	47	F	llms.txt Presence
12	Appen	45	F	llms.txt Presence
13	Dovetail	44	F	llms.txt Presence
14	Superhero	43	F	llms.txt Presence
15	Rokt	43	F	Product/Service Schema
16	Ignition	43	F	llms.txt Presence
17	Amber Electric	41	F	llms.txt Presence
18	Brighte	40	F	llms.txt Presence
19	Eucalyptus	38	F	llms.txt Presence
20	Zip Co	36	F	llms.txt Presence
21	WiseTech Global	34	F	llms.txt Presence
22	Frollo	34	F	llms.txt Presence
23	Canva	23	F	llms.txt Presence
24	Tyro Payments	23	F	Product/Service Schema
25	Morse Micro	20	F	llms.txt Presence

Scores measure website readiness for AI citation, not how often a brand is currently cited. A low score is a fixable gap, not a verdict on the business.

Methodology

This measures how readable and citable a site is to AI engines. It does not measure how often each brand is currently named in AI answers, which BrandCited tracks per brand rather than per city.

Source run: 2026-05-14-sydney-scan-results.json. Published under CC BY 4.0, so press and analysts are welcome to cite these numbers with attribution.