Zaneta Seilerova

• 500 — Projected 12-month User Acquisition Target
• 16,000 – 20,000 — Projected Annual Qualified Organic Visitors
• £60 — Modeled Customer Acquisition Cost (CAC)

The client was a new AI-based cybersecurity SaaS entering a saturated UK market dominated by enterprise vendors. The company needed a differentiated positioning strategy, a validated ICP definition, and a scalable organic-acquisition framework that relied less on paid acquisition.

I designed a full 12-month GTM SEO acquisition strategy, including ICP definition (UK eCommerce SMBs), strategic repositioning, full website silo architecture, intent-based keyword mapping, reverse-funnel traffic modeling, CAC and LTV financial viability analysis, risk mitigation, and an execution roadmap.

I delivered a structured organic growth model projecting 500 qualified users within 12 months, 16,000–20,000 high-intent annual visitors, and an estimated CAC of £60, with a strong LTV ratio.

• 1,000 — Monthly search volume for target keyword (“cold brew kegs”)
• $0.55 — Paid cost-per-click value (indicates commercial intent and market value)

• The product was relatively new to the market, with low initial search demand and limited keyword awareness.
• No clear positioning existed for how users search for this type of solution.
• Core keyword alone had insufficient volume to drive meaningful traffic.

• Identified the primary keyword (“cold brew kegs”) and expanded into surrounding long-tail and LSI-related searches.
• Built a structured SEO architecture (cluster + supporting pages) around real search intent.
• Aligned content, internal linking, and on-page optimization to strengthen topical authority.
• Focused on positioning the product within a broader problem-solution ecosystem rather than relying on a single keyword.

• Achieved number one organic ranking for the primary commercial keyword.
• Created a sustainable SEO system requiring minimal ongoing maintenance.
• Built long-term visibility through structured content rather than continuous paid acquisition.

• 200+ — Additional Customers Over Six Months (Projected)
• 30% — Conversion Rate Improvement (Target)
• 20% – 30% — Revenue Lift from Email Monetization (Projected)

Bona Fide Nitro Coffee had strong organic traffic (1,700/month) but underperforming revenue. The issue wasn’t acquisition, but conversion architecture. B2B and DTC audiences were combined in a single funnel, leading to positioning confusion, weak commercial-intent targeting, and underutilized email monetization. The challenge was to increase revenue without increasing ad spend.

I developed a six-month revenue optimization roadmap centered on funnel separation and commercial clarity. The strategy defined dual ICPs (B2B Nitro and DTC Bag-in-Box) and proposed a restructured dual-funnel architecture, commercial-intent landing pages, and structured email flows. It outlined CTA optimization, ROI-based messaging, and internal linking enhancements to monetize existing organic traffic before expanding acquisition efforts.

Projected impact included improving conversion rates to 1.5% – 2%, generating 200+ additional customers, unlocking $30,000+ in incremental revenue without increasing traffic, and achieving 20% – 30% revenue lift from structured email automation.

• 20% — Paid Social CTR
• 250% — Lead Growth From Funnel Optimization

Molosoc launched in a low-awareness product category with no existing search demand. The challenge was validating product-market fit, building trust, and converting early traffic into qualified leads while keeping CAC within sustainable margins.

I designed and executed a full awareness-first go-to-market strategy. I also built Meta acquisition funnels, structured pre-order email capture, optimized landing page conversion architecture, implemented a scarcity-based drop launch strategy, and continuously improved performance through structured CRO and A/B testing.

We achieved 20% CTR on paid campaigns, increased lead acquisition by 250%, and tripled conversion performance through optimization. We validated demand, built a qualified waitlist, and established a scalable CAC-controlled growth framework.

• 100% — Brand SERP Ownership (number One Position For “Molosoc”)
• 300% — Increase In Indexed Pages and Search Visibility (initial SEO Setup)
• 150% — Growth In Organic Impressions (Google Search Console)

• New brand with zero search presence and no SEO foundation.
• No clear positioning, keyword strategy, or content structure.
• Risk of low visibility and unclear messaging across channels.
• The brand started from zero with no search presence, no defined positioning, and no structured SEO foundation.

• Defined brand positioning aligned with search intent.
• Built initial SEO foundation (brand-first approach).
• Structured next phase:

1. Keyword clustering around real user problems
2. Clear site architecture (core and supporting pages)
3. On-page SEO setup (titles, meta, H-structure, internal linking)
4. Preparing a scalable content system aligned with both SEO and GEO

• Achieved number one position for branded search (“Molosoc”).
• Established initial search presence across key channels.
• Built a scalable SEO framework ready for content expansion.
• Set foundation for organic growth without paid dependency.

• 19.4% — Peak Campaign Click-through Rate
• 10x — Above Benchmark CTR Performance
• $0.12 — Lowest Cost Per Click Achieved

Molosoc needed to validate demand and drive cost-effective traffic during prelaunch and early scale — without a large ad budget or existing brand recognition. The core risk with a new product category is that cold audiences simply don’t click; typical Meta benchmarks for this space sit well under 2% CTR.

Ran and continuously optimized a portfolio of Meta ad campaigns across seed-audience testing, video content, and direct-purchase objectives. Iterated on creative formats — video posts, landing-page variants, product samples — and audience segments, cutting underperforming ads quickly and reallocating spend toward what worked, validated in real time through CTR and cost-per-click tracking.

Multiple campaigns sustained 7–19.4% CTR — up to 10x above typical Meta benchmarks for a new consumer product — while keeping cost-per-click as low as $0.12, directly shaping which creative and audiences were scaled into full launch.

• 73.3% — Engagement Rate From AI-Referred Traffic
• 9x — Growth in AI Referral Sessions (2024 to 2025)
• 84% — Share of AI Traffic From ChatGPT Alone

Standard SEO reporting tools like Google Search Console can’t isolate traffic coming from AI assistants — ChatGPT, Perplexity, Gemini, Claude — since they only track Google Search. Without visibility into this emerging channel, there was no way to know whether the brand was gaining or losing ground in AI-driven discovery.

Years of technical SEO work — structured schema markup, content formatted for clean extraction, and keeping the site crawlable for AI bots via robots.txt — positioned Bona Fide to be cited by AI engines in the first place. To prove and monitor that payoff, built a custom GA4 traffic acquisition report filtered by session source to isolate referrals from every major AI platform, revealing that this traffic converts and engages far better than the site average, then tracked the trend year-over-year to catch a growth plateau before it became a bigger problem.

AI-referred traffic hit a 73.3% engagement rate — well above the 51.8% site average — and grew 9x from 2024–2025. Spotting its 2026 plateau early turned a hidden risk into a clear action item, informed directly by the site’s existing SEO foundation.