Agents
One operator. One agent stack. The output of a department.
AI agent stacks that handle content, social, paid media, email, SEO, and AI search so your team focuses on strategy, not execution.
Early-stage teams don't have a strategy problem. They have an execution problem.
There aren't enough hours to run campaigns, publish content, interpret analytics, follow up with leads, and report on all of it — while also building the company. So things get dropped. Cycles slow down. The growth system never gets into a rhythm.
Kruzeniski.ai builds agent stacks that absorb the execution load. Each agent has a focused role. Together they create a running growth system with strategy, execution, reporting, and learning built into the same workflow.
You set the direction. The agents carry the work.
The Agents
Modular operators. One connected system.
Start with the agent that solves your biggest bottleneck. Expand from there. Each agent produces output the next one learns from. The longer the system runs, the sharper it gets.
Your pages get found by Google. Your content gets cited by AI. Your site gets used by agents.
Most SEO tools were built before AI search existed and before AI agents started browsing the web on behalf of users. The SEO & GEO Agent scores every page across three surfaces at once: traditional search, AI search, and agentic navigation. You see exactly where you stand and what to fix first.
Subagents:
Audit Agent scans every page for title, meta, heading, image, schema, and technical issues with prioritized Error / Warning / Info fixes
GEO Agent checks AI search signals including FAQ schema, question-based headings, entity clarity, content depth, and crawlability for Google AI Overviews, Perplexity, and ChatGPT
Agentic Search Agent checks how well AI agents can navigate and interact with the page based on Google's official agent-friendly website guidance including semantic HTML, accessible names, landmark regions, and form labels
Fix Agent produces a structured to-do list ordered by impact so the highest-priority issues get resolved first
Traditional search. AI search. Agentic navigation. One agent covers all three.
Your company's knowledge base becomes a content engine.
Product notes, founder essays, feature updates, strategic ideas, and internal documents become structured articles, newsletters, and search-optimized pages — published consistently, without a content team.
Content Agent gives any company the infrastructure to run a publication-grade blog — with feeds, editorial workflows, and AI-assisted drafting built in. A startup can publish like a media company without hiring like one.
Subagents:
Research Agent — pulls from feeds, source documents, competitor content, and search signals to identify what to write and why
Draft Agent — writes complete articles in the brand's voice from briefs, notes, or raw material
SEO & GEO Agent — structures content for Google indexing and AI search citation
Newsletter Agent — turns published articles into formatted email sends
Repurpose Agent — converts articles into social posts, video scripts, and ad angles
The more it publishes, the stronger the knowledge base becomes.
A steady publishing presence without a social media team.
Screenshots, product updates, founder notes, campaign themes, and approved messaging become daily posts across X and Meta — draft d, organized, and ready for review before anything goes live.
The Social Agent doesn't just schedule content. It builds a content library that gets smarter over time. It knows your brand voice, your approved messaging, and which assets are ready to use. Every round of approvals makes the next one faster.
Subagents:
Source Agent — ingests screenshots, videos, notes, and product updates as raw material
Draft Agent — writes platform-specific posts in the right tone, length, and format for X and Meta
Hook Agent — tests opening lines, angles, and formats to improve engagement over time
Calendar Agent — organizes approved content into a publishing schedule
Repurpose Agent — turns one piece of approved content into multiple platform-specific formats
One approval workflow. Five platforms.
A content library that compounds.
Ad data becomes strategy. Creative becomes a testing system.
Campaign exports, analytics, landing page performance, audience data, and business context become clear recommendations, creative concepts, tracking diagnostics, and client-ready reporting — without a full paid media team.
The Paid Agent starts with Google where the infrastructure supports full agent-assisted campaign management. X is next. Meta is on the roadmap — the creative and strategy layer is ready, the top-level automation is pending platform access.
Subagents:
Performance Agent — reads campaign data and identifies what's working, what's wasting spend, and what to test next
Copy Agent — writes ad copy, headline variations, and offer angles based on campaign signals
Image Agent — generates creative briefs, image prompts, and visual direction for ad assets
Audience Agent — analyzes segment performance and recommends targeting adjustments
Landing Page Agent — reviews conversion paths and flags friction points before spend scales
Reporting Agent — produces executive dashboards, weekly summaries, and client-ready campaign reports
Ad data in. Strategy, creative, and reporting out.
The first conversion is only the beginning.
Most growth systems stop at acquisition. The Lifecycle Agent focuses on what happens after — onboarding, engagement, retention, reactivation, and expansion.
It maps where customers get stuck, what messages they need at each stage, which segments show the most promise, and where the business can increase customer value without increasing acquisition spend.
Lifecycle engagements involve deeper integrations — CRM, payment systems, product data, and behavioral triggers. Every build is scoped to the specific customer journey and tech stack.
Subagents:
Journey Agent — maps the path from lead to activated customer and identifies drop-off points
Segmentation Agent — groups users by behavior, source, stage, and value
Messaging Agent — drafts onboarding emails, follow-up sequences, and reactivation campaigns
Retention Agent — monitors engagement signals and flags churn risk before it becomes cancellation
Expansion Agent — identifies conditions for upsell and surfaces the right moment to act
