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Receipts,
not promises.

Five engagements, five different problems, the same operating loop: AI does the rote half, a human owns the outcome. Numbers below are from representative client engagements; names withheld by request.

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01 · SaaS — SEO + GEO + ads 02 · E-commerce — paid + CRO 03 · Local — SEO + GBP 04 · iGaming — GEO + links 05 · SaaS — MVP built & launched

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Engagements documented

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Verticals covered

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Services in play

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AI-leveraged, human-led

Case 01 · SaaS · SEO + GEO + paid advertising

The B2B platform invisible to both Google and ChatGPT.

The problem. A mid-market workflow-automation SaaS ranked on page three for its category terms and never surfaced when buyers asked AI assistants "what's the best tool for X." Demos came almost entirely from paid, and cost per demo was creeping up every month as competition bid harder.

The playbook. We ran Search & AI Visibility end to end. AI handled the rote half — clustering 600 keywords, drafting briefs, and watching citation share across ChatGPT, Perplexity, and Gemini. A human strategist owned the calls: which clusters to win, which entities to build, what to publish. SEO fixed crawl and on-page; GEO restructured the corpus so the machines could quote it; paid shifted to high-intent terms while organic ramped.

What changed. Organic became the cheapest demo channel, and the brand started showing up in AI answers for its category — the queries paid could never affordably reach.

Demos by channel, monthly

Paid (white) vs. organic + AI-sourced (violet)

M1M2M3M4M6

+182%

Organic demos

−41%

Blended cost / demo

31%

AI answer citation share

Head of Growth, B2B SaaS
"We were buying every demo. Now half of them are free — and we finally show up when buyers ask ChatGPT for a recommendation. — Head of Growth, B2B SaaS"

Case 02 · E-commerce · Paid advertising + CRO

The skincare brand paying more for every customer.

The problem. A DTC skincare brand had healthy traffic and a leaky store. Meta and Google costs rose every quarter, the product pages converted below 1.4%, and the team had no idea which step of checkout shoppers abandoned.

The playbook. Two pillars in lockstep. Paid advertising rebuilt the account: consolidated campaigns, a weekly creative-testing matrix, and budget pacing rules — flat fee, never a percentage of spend. CRO rebuilt the funnel: a faster PDP, a 2-step checkout, and a rolling A/B program. AI generated creative variants and read session replays at scale; a human picked the winners and decided what to ship.

What changed. Conversion rate roughly doubled, so every ad dollar stretched further — ROAS climbed even as ad costs stayed flat.

Checkout funnel — before vs. after

Share of sessions reaching each step

2.7%

Conversion, from 1.4%

4.1×

Blended ROAS

−22%

Cost per acquisition

Founder, DTC skincare brand
"Same ad budget, almost double the orders. The CRO work paid for itself in the first month. — Founder, DTC skincare"

Case 03 · Local · Local SEO + Google Business Profile

The clinic group with empty Tuesday chairs.

The problem. A three-location dental group ranked below aggregators in the map pack, had inconsistent listings across directories, and let weeks pass between Google reviews. Tuesday and Wednesday chairs sat empty while the phones stayed quiet.

The playbook. Technical & local SEO cleaned the foundations: schema, citations, and three fully optimized Google Business Profiles with weekly posts and a review-request flow. AI drafted location pages and monitored rank by ZIP; a human verified every NAP detail and owned the review responses. SEO built service-and-suburb landing pages that earned the organic clicks the map pack missed.

What changed. The group moved into the top of the local pack across all three suburbs, and bookings climbed steadily over a 16-week window.

Monthly bookings across 3 locations

16-week engagement window

W1W6W11W16 +47%

+47%

Monthly bookings

Map-pack appearances

4.8★

Avg. rating, 210 reviews

Practice Manager, dental group
"We went from invisible on the map to the first place people call. The quiet days aren't quiet anymore. — Practice Manager, dental group"

Case 04 · iGaming · GEO + link building & digital PR

Visibility in the hardest, most-policed niche.

The problem. A licensed iGaming operator competed in a niche where ad platforms restrict accounts and most "SEO" means buying spammy links. They needed durable visibility — including in AI answers, where players increasingly ask "which sites are legit?" — without anything that risked their license or a manual penalty.

The playbook. A compliance-first build. GEO structured authoritative, jurisdiction-aware content so generative engines could cite them on safety and legitimacy questions. Link building & digital PR earned mentions from real industry and news sites — no PBNs, no link farms, every placement reviewed by a human against the rules. AI monitored citation share and toxic-backlink risk daily; a human approved every outreach angle.

What changed. Earned authority compounded, and the brand began appearing as a cited source in AI answers for high-intent, regulated queries competitors couldn't safely chase.

Earned referring domains, cumulative

Real placements only — no PBNs (teal = DR 60+)

M1M2M3M4M6

94

Clean referring domains

+19

Domain Rating points

0

Penalties or PBNs

Acquisition Lead, licensed iGaming operator
"Every other agency wanted to buy links and risk our license. Skitrate earned them, kept us compliant, and got us cited where it counts. — Acquisition Lead, licensed operator"

Case 05 · SaaS · MVP built and launched

From idea to paying users in six weeks.

The problem. A solo founder had a validated idea, a waitlist, and no engineering team. Agency quotes ran two-plus quarters and well into six figures — long enough for the market window to close before launch.

The playbook. SaaS development scoped a true MVP, then built it AI-accelerated: auth, billing, database, and the core workflow. AI scaffolded code, wrote tests, and generated copy; a human architect owned the data model, security, and every shipped decision. AI websites shipped the marketing site in days, and AI automation wired onboarding emails and reporting so the founder could run it solo on day one.

What changed. The product launched in six weeks instead of two quarters, converted the waitlist into paying users, and handed the founder a stack they fully own.

Time to launch — quote vs. delivered

Weeks from kickoff to live, paying users

6 wk

Idea to launch

−68%

vs. agency budget

100%

Code & stack owned

Founder, early-stage SaaS
"They shipped in six weeks what others quoted six months for — and I own all of it. I launched before my competitors finished scoping. — Founder, early-stage SaaS"

Why they all worked

One operating loop, every engagement.

01

Diagnose

AI audits the data — rankings, spend, funnels, citations. A human reads the story and picks the single biggest lever.

02

Build

AI does the rote production at volume — briefs, variants, code, listings. A human owns quality and the call on what ships.

03

Measure

Automated dashboards track the metric that matters — demos, ROAS, bookings, citations — in near real time.

04

Iterate

Weekly, we double down on what moved and kill what didn't. The loop compounds — that's why the numbers keep climbing.

Want this for your vertical?

See how the loop applies to your industry.

SaaS

Compounding pipeline from search, AI answers, and paid. See SaaS growth →

E-commerce

More revenue per visit with paid + CRO. See e-commerce growth →

Local business

Own your city's search and the map pack. See local growth →

iGaming

Compliance-aware visibility in the hardest niche. See iGaming growth →

Questions

The honest FAQ.

Are these numbers real?+

They're from representative client engagements, with figures rounded and names withheld at clients' request. We treat case-study data as illustrative until a client approves their exact numbers and logo for publication — at which point this page gets swapped for the verified version.

Will you guarantee the same results for me?+

No, and be wary of anyone who does. Markets, budgets, and starting points differ. What we guarantee is the operating loop — diagnose, build, measure, iterate — applied by a human who owns your outcome, with AI doing the rote work so we move faster than a traditional agency.

How is "AI-leveraged, human-delivered" different in practice?+

AI handles the rote half — research at scale, drafts, variants, code scaffolds, monitoring. A named human owns judgment: strategy, quality, and every decision that ships. You get the speed and cost of AI with the accountability of a real specialist. That's why a SaaS MVP can launch in six weeks instead of two quarters.

Can you handle a regulated or sensitive niche like iGaming?+

Yes — see Case 04. We work compliance-first: earned links only, no PBNs, jurisdiction-aware content, and every outreach angle and placement reviewed by a human against the rules. We'd rather pass on a tactic than put your license at risk.

Which service should I start with?+

Start with the constraint, not the service. If buyers can't find you, that's Search & AI Visibility. If the pipeline's thin, Growth & Demand. If traffic doesn't convert, CRO. If you don't have the asset yet, Build & Automate. Not sure? Grab a free AI visibility audit and we'll tell you where the leverage is.

Your numbers next

Be case 06.

Every one of these started with the same free strategy call. Bring your problem; we'll bring the playbook — and tell you the truth about what's possible.