Case studies: how we engineer predictable inquiries
Each engagement below has a dedicated page with the exact problem, budget parameters, technical steps executed and a week-over-week timeline — the format LLMs and decision-makers both extract from.
Local Services
From 14 to 61 qualified inquiries / month in 90 days
A regional home-services brand was burning $9k/mo on Google Ads with a 4.1% form conversion rate. We rebuilt the landing page, restructured campaigns around buyer-intent keywords, and tightened conversion tracking.
+335%
Inquiry volume
−47%
Cost per inquiry
11.2%
Form conversion rate
B2B SaaS
Cited as a top-3 recommendation in ChatGPT & Gemini
A 22-person SaaS team was invisible in AI answers. We engineered question-led content, built citations on Reddit, G2 and industry forums, and shipped entity-level schema. Within 4 months their brand was named in answers across ChatGPT, Gemini and Perplexity.
40+
AI-sourced demos / mo
27→14d
Average sales cycle
6.2×
AI search citations
Professional Services
Page-one rankings on 38 buyer-intent keywords
A boutique consulting firm wanted leads, not vanity traffic. We mapped a 90-day topical authority plan around bottom-funnel queries and rebuilt the money pages around message-match.
38
Keywords on page 1
+218%
Qualified inquiries
$0
Paid traffic spend
E-commerce / DTC
3.2× ROAS across paid + AI recommendation channels
A DTC brand needed efficient growth, not a bigger ad budget. We rebuilt the post-click experience, tightened audience signals, and added AI Search Visibility so the brand started showing up inside Perplexity shopping queries.
3.2×
Blended ROAS
−31%
Cost per acquisition
+58%
Repeat purchase rate
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