Original research on how AI engines decide what to recommend. Every number is ours. Every methodology is documented.
~6,200 AI citations across 12 markets and 5 industries. AI engines run two separate systems for local businesses — one for recommendations, one for explanations.
20 prompts. 3 engines. 19 of ~35 licensed clinics named — 54% of the regulated market. Birth rates didn't predict who AI recommends.
20 prompts. 3 engines. 42 agencies named. Only 11 on all three — and the most-cited agency overall is invisible on ChatGPT.
324 queries. 3 engines. 6 cities. 800+ agencies named. Only 12 on all three — and not one was a franchise.
18 buyer prompts. 3 AI engines. 210 agencies named. Only 4 on all three. 94% boutique dominance — highest of any city tested.
18 buyer prompts. 3 AI engines. 351 citations. Only 5 brands on all three. One engine confused Melbourne AU with Melbourne FL.
18 buyer prompts. 3 AI engines. 254 agencies named. Only 3 appeared on all three. See who AI recommends — and who's invisible.
The full story behind BaliPropertyRules.com — from zero authority to AI-cited source. Every number, every decision.
We audited 200+ AI responses to understand citation patterns. Here's what actually drives AI to cite a source.
SEO agencies optimize for rankings. AI citation requires a fundamentally different approach — different incentives, different metrics, different skills.
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