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Where AI gets its answers

The domains AI cites when it recommends a business

AI answers aren't magic, they're assembled from sources. When a customer asks ChatGPT, Perplexity or Google's AI for a business, it pulls from directories, review sites, associations and community threads, and names whoever those sources talk about. This is the map of exactly where that happens, by category, so you know where to get listed to get named.

Editions: 🇦🇺 Australia · 🇺🇸 United States · 🇬🇧 United Kingdom

The sources AI trusts most, across every category

Aggregated across every category we measure in Australia: the domains Google's AI cites in the most industries here. If you can only earn a presence on a few places, these are the highest-leverage.

#1youtube.com
28 categories
#2reddit.com
16 categories
#3en.wikipedia.org
8 categories
#4facebook.com
6 categories
#5google.com
6 categories
#6au.indeed.com
5 categories
#7au.seek.com
5 categories
#8healthdirect.gov.au
3 categories
#9instagram.com
3 categories
#10my.clevelandclinic.org
2 categories
#11entryeducation.edu.au
2 categories
#12open.edu.au
2 categories

Pick your category

The exact sources AI cites when it answers for your industry.

Mortgage Broker Financial Adviser Real Estate Consultant Insurance Broker Hospitality Charity Builder Accountant Vet Trades Other Plumber Allied Health Medical Lawyer Marketing Agency Landscaper Electrician Dentist Creative Fitness Fintech Automotive Web It Retail Florist Nursery Disability Services Winery Brewery Accommodation Wellness Saas Platform Transport Beauty Hardware Education
See the sources naming you, and the ones naming your competitor.

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Method. Found by AI asks ChatGPT, Claude, Perplexity and Google's AI the questions real buyers ask for each category, then measures which businesses the engines actually name. Scores are 0–100 point-in-time measurements; the index re-scans and grows automatically. Businesses listed here were selected and measured by us from public directories, scan your own site free to see where you'd rank. Queries and methodology are open: github.com/techhorizonlabs.