What results can AI visibility work deliver?
These eight case studies come from my in-house work for a Canadian cloud service provider from 2024 to 2026, across Canada, the US and Australia. The client isn't named, and every number comes from Google Analytics 4 or Semrush.
They show the method I use with every client: find the questions buyers ask, give each page one clear job, write answers AI can cite, and measure what moves.
Results at a glance
RESULT
WHAT CHANGED
3x
Google AI Overview citations vs the nearest Canadian competitor (21 vs 7).
8.5x
Weekly AI-referred sessions in two weeks (15 to 128).
+68%
Canadian organic sessions, 2024 to 2025 (15,379 to 25,812).
#63 to #1
"colocation services" in Australia in six days.
6.4x
Partner campaign page sessions in the first month, plus 41 form fills.
7 days
From publish to #1 on Google for a new article in Canada.
Eight AI visibility case studies
1.
Cited in 21 Google AI Overviews in Canada, 3x the nearest competitor. Named in 8 of 10 buyer prompts, with 90% more AI brand mentions.
2.
Weekly AI referrals rose from 15 to 128 in two weeks. Canadian organic sessions grew 68% year over year, then another 41% in 2026.
3.
Visibility rose from 6.1% to 13.7% in 30 days, 3.4x the nearest competitor, with #1 spots for 14 terms inside the AI Overview.
4.
Two pages were competing for "colocation services" in Australia. Once each had one job, it went from #63 to #1 in six days and got cited in the AI Overview.
5.
95.6% of Australian organic visits landed on a page built for the wrong buyer. I rebuilt it for MSP partners and tracked 9 buyer prompts in AI.
6.
A partner campaign after the Broadcom VMware changes grew sessions 6.4x in month one, drove 41 form fills and ranked #1 for "vcf 9" in Canada.
7.
The fastest article hit #1 in Canada in 7 days. 5 of 7 pieces reached #1 in 34 days or less, and Australian share of voice went from 2% to 15%.
8.
In the US, "cloud deployment models" went from #83 to #1 and "disaster recovery testing" from #71 to #1 in about three months.
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