I am an AI content strategist for B2B SaaS. I build the strategy — topics, ICP-mapped, AI-search-ready — and an AI-assisted production engine behind it, with a human owning angle, proof and brand.
AI scales production. A human owns the angle — so it is not generic slop.
Every B2B SaaS team can now publish ten times more. The bottleneck moved: it is no longer production, it is strategy and judgment. AI without a content strategy and a human quality gate produces volume that ranks for nothing, gets cited by no one, and sounds like every other tool.
AI lets you ship posts by the dozen, but with no ICP-mapped plan behind them they chase keywords no buyer searches and topics no buyer cares about.
Unedited AI output reads like the median of the internet — no angle, no proof, no point of view. It fills a calendar and moves nothing.
Buyers research in ChatGPT and AI Overviews now. Content with no clear point of view and no source authority gets summarized away, never cited.
The split that works: AI does the heavy lifting — research, outlining, drafting, repurposing, at a volume no team could match by hand. A human owns the parts AI cannot fake: the angle, the proof, the point of view and the brand voice. Strategy comes first — ICP-mapped topics built to be found and cited in AI search — then the production engine ships against it with a quality gate on every piece. That is how you get the volume of an AI workflow without the slop.
A strategy you can act on plus the AI-assisted system that produces against it, not a deck of content ideas.
What you publish today, what ranks and gets cited, and where the ICP-mapped, AI-search gaps are versus competitors.
A topic and editorial strategy mapped to your ICP and buying journey, prioritized by pipeline potential, not keyword volume alone.
Content shaped to be found and cited in ChatGPT, Perplexity and AI Overviews — clear point of view, structure and source authority.
An AI-assisted research, drafting and repurposing workflow that turns one idea into many formats, with a human gate on each.
Editorial standards, brand voice and fact-checking built into the workflow, so volume scales without the brand turning generic.
Tracking tied to rankings, AI-search citations and pipeline influence — the numbers that matter, not published-post counts.
Review current content and AI-search presence, then map the ICP, buying journey and the topic gaps worth owning.
Set the topic and editorial strategy, prioritized by pipeline potential and built to be found and cited in AI search.
Build the AI-assisted production workflow — research, drafting, repurposing — with a human quality gate wired into every step.
Publish against the plan, track rankings, citations and pipeline influence, and double down on the formats that earn it.
AI scales content production. A human owns angle, proof and brand — that is the difference between an engine and slop.
Andrii Byzov / AI content strategist
I am Andrii Byzov — an AI-native marketing operator who has led growth across B2B SaaS and fintech, including CMO roles at DataImpulse and AcademyOcean (Netpeak Group).
I build systems that replace two or three manual roles, not a ChatGPT tab open on the side — and an AI content engine with a human quality gate is one of them. 15+ years of demand work plus an AI-native bias, in one accountable engagement. I write about it on my blog.
A focused content audit shows what ranks and gets cited today, where the ICP-mapped and AI-search gaps are, and where an AI-assisted engine gives the most leverage first.
Book a content strategy call →Operator-led · AI-native · B2B SaaS