Case Studies — Proof That Visora Works
Every Visora case study pairs a written account — strategy, execution, honest baselines — with dated screenshot evidence from real AI engines. No vanity metrics, no cherry-picked screenshots: each study records the starting baseline and reports what is still in progress, so you can re-run the exact queries yourself.
Published Case Studies
- FOIHK — Family Office Institute Hong Kong — Local SEO & AI Visibility for a Regulated Industry — From 0 mentions in 15 AI-engine answers to #1 recommendations in Copilot and ChatGPT, and #3 in Google AI’s Hong Kong Top 5 — via trilingual hreflang architecture, six types of schema markup, answer-first content, and GEO entity clarification.
- Re-check case notes (21 Oct) → — The same ruler, measured twice — three months later, what held and what moved.
- I-Scream Ltd. — Artisanal Gelato Manufacturer — AI Visibility for a B2B Manufacturer: From Entity Confusion to Cited Supplier — A Hong Kong gelato maker that AI engines confused with a J-pop group and a cartoon bunny went to #1 on Google AI for customisation queries, #1 organic on Google for customisation (top-3 on every buyer intent tested), and cited-with-pricing across six engines — by making its facts machine-citable and tailor-designing its keyword set (gelato wholesalers, pet-friendly gelato, custom flavours), with website content updated to match.
- Street Fighter Run 2027 — Capcom-Licensed IP Fun Run — An AI Visibility Baseline for a Licensed Event, 157 Days Out — A one-day, 35-screenshot baseline for the Street Fighter 6 Run Hong Kong (28 March 2027): all 7 engines answer the brand question correctly and the event holds #1 category ranks on Gemini (Chinese) and Perplexity (English) — but Doubao twice denied the event exists, Google AI shows its dates as “TBA”, and category visibility rides on Klook rather than the official site. Day-one data, no claimed results — the ruler before the race.
How We Measure
AI visibility is measured the same way for every client: a fixed set of real customer questions, asked to a fixed panel of AI engines (ChatGPT, Google AI, Gemini, Copilot, Perplexity, Doubao, DeepSeek, Qwen), re-tested monthly. Before/after comparisons use the same engine answering the same query. Google results are captured from incognito search, and baseline metrics cite their source (Google Search Console, Ahrefs, Moz).
Screenshot Evidence
Each written case study links to its companion screenshot portfolio — dated captures from every engine, from the first baseline to the latest milestone, with a before/after slider you can drag yourself.
Become the Next Case Study
Run the free 60-second AI visibility scan to record your own baseline across 9 AI engines — no account required — then let Visora close the gap. See services and pricing for how engagements work.
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