Marketing's pieces are usually owned by different specialists. That is why they do not connect. Below is the full set of disciplines I work across, and the proof for each.
The discovery layer: getting found on Google, AI answers, and high-intent channels. Includes programmatic SEO, AI-search visibility, and content engines that scale without losing brand voice.
Proof: Searcle ($400K ARR, 50+ customers) · Litespace (zero to ~1M monthly visitors, DR 46) · AllBooked (zero to top-3 category rankings).
View proofThe pipeline-creation layer: better data, segmentation, messaging, and sequence design. Built without the autonomous-spam approach most AI SDR tools default to.
Proof: Smartlead-based AI BDR systems for B2B SaaS: lead sourcing, segmentation, sequence testing, reply handling, and CRM handoff.
View proofThe conversion layer: site rebuilds, HubSpot or Salesforce tracking, campaign setup, ads, and the attribution model that lets the rest of the system be measured.
Proof: Flyntlok: full website revamp, HubSpot tracking, campaigns, ads, SEO, AI search, domain planning, and conversion tracking.
View proofThe repeatable-creator layer: building creator pipelines and content systems instead of one-off posts.
Proof: Halo: UGC creator pipeline producing ~1B monthly Instagram views with ~200 creators. Mrktedge: UGC strategy, UTM tracking, conversion.
View proofThe attention layer: finding angles that win on Reddit and converting attention into product traction.
Proof: Tablepage.ai: ~15M Reddit impressions and ~100 active users. The public post is linked from the proof page.
View proofThe trust layer: founder and creator LinkedIn growth systems that turn personal brand into pipeline.
Proof: Theory-strong, implementation expanding. This sits behind the lead capabilities instead of carrying the offer alone.
View proofThe compounding-distribution layer: communities that produce trust and demand over time.
Proof: HRAIZON: 7,000+ HR and AI community members built from cold start, on Beehiiv and Slack.
View proofThe technical foundation under every other capability: custom workflows, data pipelines, prompt engineering, automation, reporting, and implementation.
Proof: This is the engineering that makes AI marketing shipped, measurable, and useful inside the stack the team already uses.
View proofSpecialists optimize one piece. The pieces stay disconnected. dialGTM is the system across all of them.