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Corporate training

Agentic AI in content marketing, taught through your real workflow.

Help your team move beyond individual prompts and build repeatable AI-powered workflows for research, briefs, SEO, content production, QA, updates, and repurposing.

No generic AI theory. No tool parade. We work with the way your team already produces content and turn the repetitive parts into practical systems.

What to expect

A practical AI curriculum

Live build

Session 01

Map the content workflow

Where the work starts, stalls, and gets weird.

Session 02

Research agents

SERPs, Reddit, competitors, customers, sources.

Session 03

Briefs and drafts

Templates, prompts, and review gates.

Session 04

SEO and updates

Decay, internal links, indexing, and QA.

Session 05

Distribution loops

LinkedIn, email, Reddit, sales snippets.

Session 06

Measurement

Traffic, rankings, LLM visibility, reporting.

The order adapts to your team. The point is not more AI trivia. It is leaving with workflows people can use without becoming prompt librarians.

Built systems for content teams at

Same content brain, now packaged for your team.

  • Procured
  • Procured
The problem

Your team uses AI. The process still lives in everyone's head.

Most teams are past the blank-page demo. The problem now is messier: everyone is testing things alone, and the good ideas have not become repeatable work.

  • 01

    Everyone has prompts. Nobody has the recipe.

    A good prompt helps once. A workflow helps every week, because it says what goes in, what happens next, who checks it, and what to do when the AI confidently says nonsense.

  • 02

    The team is using AI at different quality bars.

    One person gets useful research. Another gets smooth, empty copy. The editor gets a headache. The workshop gives the team one shared way to use AI.

  • 03

    The first automation target is usually the wrong one.

    Most teams speed up drafting first because it is easy to see. The better wins are often research, briefs, QA, updates, internal links, reporting, and repurposing.

  • 04

    Nobody has decided what stays human.

    That line has to be clear. If it carries your name, your claim, your customer data, or your taste, a person still owns it.

Fit

For teams with real content work, not just AI curiosity.

The best buyer is already using AI somewhere, but the results are uneven: scattered prompts, repeated context, unclear approvals, and no clear line for where automation should stop.

Do bring this

Best fit

  • Content, SEO, and editorial teams producing content every month
  • SaaS, B2B, agency, and in-house marketing teams with real workflow friction
  • Heads of Content who need adoption, standards, and practical examples
  • Teams of roughly 5-20 people, with larger cohorts scoped separately

Do not bring this

Not the right fit

  • Teams looking for a generic AI awareness webinar
  • Companies that want AI to publish directly with no human review
  • Teams without any recurring content workflow to improve yet
  • Buyers who only want a tool demo for one software platform
What the team learns

Agentic AI in content marketing, mapped to the jobs behind the calendar.

The curriculum is built around research, briefs, production, SEO, QA, updates, repurposing, and the repetitive ops nobody brags about. No endless tool parade.

From prompts to agents

What is just a prompt, what is a workflow, what is an agent, and when the fancy word is doing too much work.

Research systems

How to pull sources, competitors, SERPs, Reddit threads, and customer words into one clear research doc.

Briefs and production

How research becomes a brief, the brief becomes a draft, and the draft comes back through a real edit.

SEO and AEO loops

Keyword clusters, content gaps, internal links, updates, on-page checks, and AI-search visibility without turning the team into button-clickers.

Repurposing systems

One strong asset turned into posts, newsletter blocks, sales material, and community answers without flattening the voice.

Quality control

Review steps, source checks, hallucination traps, style rules, and the simple question: where should the robot stop?

The system

We can automate the whole content marketing process. Carefully.

Not by letting AI run loose with your brand and a dream. We map the full machine, choose the slow parts, add the right tools, and keep humans at the gates that matter.

10+

content ops steps covered

25+

tools we can connect

28

automation patterns in the library

01

Find demand before you write

Pull search data, competitor pages, Reddit threads, customer language, sales notes, and product notes into one place. No more "I opened 37 tabs and now I am spiritually tired."

AhrefsSemrushSE RankingGSCGA4Reddit APIArcticShiftApifyJinaAirtable

Automation patterns

  • Keyword research automation
  • SEO competitor research
  • Reddit keyword monitoring
  • Reddit comment scraper
02

Turn research into a real content plan

Cluster topics, map intent, spot gaps, choose what to publish, and decide what to ignore. The ignore list matters. It saves the team from making very polished clutter.

ClaudeChatGPTPerplexityNotionAirtableAhrefsSemrushSE RankingFigma

Automation patterns

  • Topical content map
  • Content brief automation
  • Content marketing automation
  • SEO workflow management
03

Build briefs, drafts, and review gates

Move from idea to brief to draft to QA with clear owners. AI can assemble and draft. A human still approves claims, angle, voice, and anything the company has to stand behind.

n8nTrigger.devClaudeOpenAIPayloadNotionWordPressWebflowGoogle Docs

Automation patterns

  • AI SEO workflow
  • SEO content automation
  • Content creation automation
  • Content management automation
04

Keep the library alive

Find decaying pages, missing internal links, weak sections, and pages that should be merged or killed. Content is not a museum. Dusting it counts as work.

GSCAhrefsScreaming FrogClaudeJinaScreenshotOneWordPressPayload

Automation patterns

  • Content decay detection
  • SEO content update
  • Internal linking automation
  • Advanced SEO automation
05

Distribute without making mush

Turn one strong asset into LinkedIn posts, newsletter blocks, Reddit drafts, sales snippets, and community answers. Same idea, different shape. Not copy-paste with a hat.

n8nTrigger.devClaudeOpenAIAirtableReddit APIFigmaLinkedInSlack

Automation patterns

  • Content distribution automation
  • SEO marketing workflow
  • Reddit post automation
  • Reddit comment automation
06

Measure where AI changes the game

Track rankings, traffic, assisted leads, content updates, Reddit mentions, and LLM visibility across ChatGPT, Gemini, Perplexity, and Google AI answers.

GSCGA4AhrefsSemrushSE RankingLLM visibility platformChatGPTGeminiPerplexitySlackEmail

Automation patterns

  • Report tracking SEO workflow
  • LLM visibility platform
  • Automated SEO reporting
  • Automated indexing for new pages
Automation library

The workshop can pull from systems I already build.

This is not theory from a slide deck. These are the automation shapes behind the site: SEO workflows, content ops, Reddit monitoring, LLM visibility, updates, indexing, reporting, and the other jobs nobody puts on a keynote slide.

Pick a bottleneck

Five good places to start.

In training, we do not need to build all of these. We use them as practical patterns: what could be automated, what should be reviewed, and what would actually save the team time.

AI SEO workflow

+

End-to-end SEO pipeline: keyword → outline → draft → optimization → publish, with a human approval gate.

We could build this as a team workflow with clear inputs, a human review step, and a handoff into the tools you already use.

Build shape

Complexity
High
Build time
2+ weeks

Content marketing automation

+

Orchestrate the full publishing flow from idea capture to multi-channel push and reporting.

We could build this as a team workflow with clear inputs, a human review step, and a handoff into the tools you already use.

Build shape

Complexity
Medium
Build time
1–2 weeks

Content brief automation

+

Generate SEO-ready briefs – outline, NLP terms, internal links, sources – from any target keyword.

We could build this as a team workflow with clear inputs, a human review step, and a handoff into the tools you already use.

Build shape

Complexity
Low
Build time
1–3 days

Content decay detection

+

A weekly GSC pull that compares the last 7 days to the previous 28, classifies every page by decay severity, and sends a Slack + email digest of what to refresh.

We could build this as a team workflow with clear inputs, a human review step, and a handoff into the tools you already use.

Build shape

Complexity
Medium
Build time
1–2 weeks

Reddit keyword monitoring

+

Alert on Reddit threads matching your keywords and brand mentions in near real time.

We could build this as a team workflow with clear inputs, a human review step, and a handoff into the tools you already use.

Build shape

Complexity
Low
Build time
1–3 days
Show all automation patterns+

Product content enrichment

Pull product specs, reviews, and competitor data into one source-of-truth feed for every PDP.

Product content optimization

Continuously rewrite PDPs and category pages from search-intent shifts and conversion signals.

Report tracking SEO workflow

Daily rank, traffic, and indexation reports stitched from GSC, Ahrefs, and GA4 into one digest.

SEO workflow management

Kanban for content briefs, drafts, and publication status across writers, editors, and SEOs.

SEO marketing workflow

Campaign-level workflow tying SEO content to email, paid, and social distribution from one source.

Topical content map

Auto-build a topical authority map from your existing content + competitor SERPs in one pass.

Content creation automation

Draft, fact-check, and format long-form posts from approved briefs in your tone of voice.

Content distribution automation

One blog post → LinkedIn, X, Reddit, email, newsletter – auto-reformatted for each channel.

Content management automation

Sync drafts, briefs, and published pages between Notion, Airtable, WordPress, and Webflow.

Reddit comment automation

Schedule on-topic, human-reviewed comments under monitored Reddit threads – without the spam.

SEO content update

Detect stale or decaying posts, rewrite the relevant sections, and re-publish in your CMS.

Reddit comment search

Filter and search across millions of Reddit comments by keyword, subreddit, and date range.

Reddit comment scraper

Bulk-export Reddit threads and comments to Airtable for analysis or LLM ingestion.

Keyword research automation

Pull, cluster, and prioritize keywords from GSC, Ahrefs, and competitor SERPs in one workflow.

SEO content automation

One-click pipeline from approved brief to optimized, internally-linked, published post.

Enterprise SEO workflows

Multi-stakeholder approvals, locale routing, and SLA tracking for large content operations.

Local SEO automation

Generate location pages, monitor GBP listings, and surface citation gaps at scale.

Advanced SEO automation

Stitch GSC, Ahrefs, and Screaming Frog crawl data into actionable on-page rewrite tickets.

Internal linking automation

Identify and propose internal link opportunities across your full content library.

Programmatic SEO AI

Spin up 100–10,000 templated landing pages from a structured data source with AI-generated copy.

SEO competitor research

Track competitor publishing cadence, ranking shifts, and content gaps automatically.

Reddit post automation

Draft on-topic Reddit posts that read like a founder genuinely sharing experience – topic ideation, post writing, persona-matched output, ready for review.

Automated indexing for new pages

Walk your sitemap, ask GSC which URLs are still not indexed, and submit them to Google's Indexing API on a schedule.

Read this before you book

What Agentic AI training cannot promise you.

The training market is full of productivity claims, tool demos, and promises that the team will become AI-native after a day. A useful workshop is more modest and more valuable: it changes how the team thinks about work.

  1. 01

    A workshop cannot fix unclear content strategy.

    If nobody knows what the team should publish, AI will only make the confusion faster. The training can expose that gap and help you work through it. It cannot pretend the decision already exists.

  2. 02

    Agents do not remove the need for editors.

    They make the editor more important. The point is to remove boring assembly work around the editor, not remove the person accountable for claims, taste, judgement, and whether something should ship.

  3. 03

    Tool choice is not the operating model.

    ChatGPT, Claude, Codex, MCP, APIs, and automation platforms can all help. None of them matters much until the team knows the workflow, inputs, review step, and owner.

  4. 04

    The first version will need tuning.

    A useful workflow gets better after people use it on real work. The honest outcome is not magic on day one. It is a team that can test, improve, and govern the system after the session ends.

The best outcome is not a team that trusts AI more. It is a team that knows when to trust it, when to check it, and how to improve the workflow when it fails.

The work

How the workshop becomes something the team keeps using.

The goal is not a fun afternoon where everyone learns five tricks and forgets four by Friday. The goal is a working way to think, build, review, and improve AI workflows.

  1. 01

    Before the session

    Audit how the team works now

    We start with the actual content flow: who chooses topics, where research lives, how briefs are written, who reviews, which tools are already in use, and where time vanishes.

    Workflow intakereal inputs
    Content calendarreviewed
    Brief templatemapped
    Approval pathnamed
    Random tool listlater

    The tools come after the workflow, otherwise the session becomes a demo.

  2. 02

    Session one

    Give the team a shared model

    The team learns the difference between prompts, repeatable workflows, agents, and human-in-the-loop systems, using content examples instead of abstract AI soup. This is the practical layer of agentic AI in content marketing: what should move, what should pause, and who owns it.

    Operating modelprompt -> workflow

    Before

    After

    Same tools, different operating model. That is usually the leap.

  3. 03

    Live build

    Build around one or two real workflows

    Research to brief, draft to QA, content update, internal linking, Reddit monitoring, LLM visibility, or repurposing. The best workflow is the one your team will actually use the next morning.

    Build criteriaper workflow
    Inputs are knownrequired
    Review gate existsrequired
    Owner is namedrequired
    Output can be checkedrequired

    If the workflow cannot be checked, it is not ready for the team.

  4. 04

    Quality pass

    Write the guardrails

    What can be automated, what must be reviewed, what data can be used, where sources are required, and which outputs never publish without a person.

    Standing ruleshuman gate
    Research summariesAI
    First draftsAI
    Factual claimsreview
    Publishinghuman

    Autonomy stops where accountability begins.

  5. 05

    Afterwards

    Turn the session into reusable material

    Your team leaves with templates, examples, prompts, and workflow notes, adapted to the way you already make content rather than a generic folder nobody opens twice.

    Takeawayskept by team
    Workflow templateincluded
    Prompt patternsincluded
    QA checklistincluded
    Next buildsranked

    The team should be able to keep improving it without me in the room.

The workshop can be remote or adapted for an in-person team session. English and Ukrainian are both available.

Proof

Same brain. Same systems. Now taught to your team.

These are not training testimonials yet. They are the closest proof: content, SEO, automation, speed, and ownership from teams I have worked with.

Eugene is insanely talented with automation and SEO. He helped us produce content at scale without sacrificing quality, which is rare. Couldn't think of a better person for speed and precision.

Loïc Reco

Loïc Reco

Product / ColdIQ

Yevhen consistently delivered content on time, strictly adhering to briefs while frequently exceeding expectations. What sets Yevhen apart is balancing technical SEO with engaging, reader-friendly content.

Konstantin Vashkevich

Konstantin Vashkevich

Head of Marketing / RedTrack.io

Working with Yevhen has been great. They think strategically about SEO, focus on what drives growth, and execute consistently. Clear communication, strong ownership, real results.

Ivan Khymych

Ivan Khymych

CEO & Founder / SimplyDepo

Working with Yevhen is an absolute pleasure. His marketing analysis is some of the most in-depth I've ever seen. He consistently goes above and beyond expectations.

Ira Nykytenko

Ira Nykytenko

Operations Manager / Awesomic

What truly sets Eugene apart is his deep understanding of SaaS content marketing. He knows how to make content work hard – pulling in the right audience and converting them.

Andrew Kolp

Andrew Kolp

Founder / Generect

Eugene has been a huge help to us at TextPie.io as our Advisor. As a content and SEO expert, he helped us build a strong foundation for our SEO strategy.

Vladyslav Sizov

Vladyslav Sizov

Founder / TextPie

Working with Yevhen was great. Super professional, really quick, and to the point. Didn't need to manage anything – Yevhen got it right away. Definitely a strong recommend.

Max Bondarenko

Max Bondarenko

CMO / Spendbase

Eugene is one of those rare professionals who combines incredible skills with an unbeatable work ethic and amazing attitude. He creates experiences that grab attention and drive results.

Rimma Sytnik

Rimma Sytnik

Head of Inbound Marketing / Reply

Eugene is the easiest person to work with. He jumps in, gets it, and delivers great content without hand-holding. His topic suggestions helped us jump into top 10 right away.

Galyna Golitsyna

Galyna Golitsyna

Digital Marketing Team Lead / 42DM

Working with Eugene has been an absolute pleasure. As Head of Content, Eugene is not only a talented professional and a leader but also a supportive and empathetic colleague.

Olivia Minko

Olivia Minko

Fractional CMO /

Eugene helped with our marketing efforts at Strada and has been terrific to work with. He's professional, dependable, and always finds a way to deliver high-quality work.

Amir Prodensky

Amir Prodensky

CEO / Strada

Working with Eugene has been a breeze. Sharp thinking, receptive to feedback, and always on time. One of those collaborators who gets it. Highly recommend.

Jean-Philippe Timog Métivier

Jean-Philippe Timog Métivier

SEO, Content & Brand / Tervene

His contributions have been incredibly valuable to our blog. I have immense confidence in his knowledge and expertise. He is undoubtedly a professional in content.

Zeynep Kantav

Zeynep Kantav

Marketing Manager / Transkriptor

Eugene's proactive approach ensured that we stayed ahead of the curve, implementing the latest SEO strategies and best practices. His expertise is evident.

Alessio Mavika

Alessio Mavika

Founder / AgencyDots

Eugene's commitment to quality and professionalism is truly impressive. He consistently offers fresh ideas, showcases great writing skills, and is always open to discussion.

Svitlana Fomenko

Svitlana Fomenko

Marketing Manager / CloudTalk

Eugene is a rare find with his mix of creativity and data-driven thinking. He knows how to create engaging content that grabs attention and drives traffic.

Maksym Zubenko

Maksym Zubenko

Head of Organic Growth / Jooble

Eugene's expertise didn't stop at content creation; he also offered valuable insights that boosted my website's performance and set the stage for better lead generation.

Dmytro Chervonyi

Dmytro Chervonyi

Co-founder / Forecastio

From his exceptional marketing skills to his expert content creation abilities, Eugene consistently excels. It was a pleasure to collaborate with someone so professional and talented.

Daniel Sokolov

Daniel Sokolov

Marketing Manager / PPM Express

Formats

Start small, go deeper, or rebuild the machine.

The workshop gives the team a shared model. The bootcamp gives them reps. The custom program is for teams that want help changing the actual content operation.

Pricing is for focused content and marketing cohorts. Onsite delivery, larger groups, regulated industries, and custom implementation change the final number.

Option 1

Agentic AI Content Workshop

3-hour live workshop

$1,500

Teams that want the lightbulb moment, plus one or two workflows they can try the next day.

  • Live training
  • Real content examples
  • Workflow map
  • Q&A
  • Take-home templates
Talk about this format

Option 2

Agentic AI Content Bootcamp

6 live sessions

From $2,500

Teams that want practice, feedback, and enough reps that the new process actually sticks.

  • Workflow audit
  • Six training sessions
  • Team exercises
  • Templates and prompts
  • Implementation guidance
Talk about this format

Option 3

AI Content Transformation Program

Custom engagement

Custom

Teams that want me inside the machine room, helping rebuild the content operation around AI.

  • Workflow audit
  • Team interviews
  • Custom workflows
  • Documentation
  • Follow-up support
Talk about this format
Customization

Bring the messy version. That is the useful one.

The page can say agentic AI training. The session should sound like your team: your briefs, your tools, your CMS, your approval path, and the strange little content ops rituals nobody put in the process doc.

Your content workflow

Your team structure

Your CMS

Your SEO tools

Your AI stack

Your approval process

Your content formats

Your biggest bottlenecks

The alternatives

Four ways to train a team. One starts with the workflow.

AI training is not scarce anymore. The scarce version is training that understands content production, SEO, editorial review, and the ways a team quietly works around its own process.

busyless
Generic AI workshop
Tool vendor training
Internal experiments
What the team works on
Your actual content workflow and the boring places around it
Generic exercises and polished demos
Features inside one platform
Whatever one motivated person tries first
What the team leaves with
Workflow templates, guardrails, examples, and a short list of what to build next
Slides, recordings, and prompt lists
Platform-specific setup notes
Scattered experiments
View of AI content
Useful backstage, never an excuse to lower the bar
Usually sold as faster creation
Usually framed around platform output
Depends on who is experimenting
Human review
Designed into every outward-facing workflow
Mentioned as a principle
Left to the buyer
Often discovered after something breaks
Customization
Built around your CMS, team, approval path, and content types
Lightly adapted agenda
Limited to the vendor's tool
High context, low consistency
Cost shape
$1,500 workshop, bootcamp from $2,500, custom program after scoping
Per seat, per cohort, or fixed training day
Bundled into software spend
Cheap until the team needs consistency

If all you need is a tour of one platform, vendor training will be cheaper. This is for teams trying to change how content work moves.

Scope the workshop

Show me the workflow. I'll show you where AI belongs.

In 30 minutes we can usually tell whether you need a short workshop, a deeper bootcamp, or a custom build around one painful part of the content operation.

Direct calendar

Book a 30-min workshop scoping call

Loading scheduler…

Calendar busy?

Send the workflow instead.

One paragraph is enough: team size, content type, and the workflow you are tired of doing by hand.

Ask about a workshop

FAQ

Questions, ahead of time.

  • Is this useful if our team already uses ChatGPT or Claude?+
    Yes. That is usually the best starting point. The workshop is for teams that already use AI for one-off tasks and want to turn the useful parts into repeatable workflows with review, ownership, and quality control.
  • Is the workshop technical?+
    It can be, but it does not have to be. For non-technical teams we use no-code workflows, better prompts, review checklists, and clear process maps. For advanced teams we can cover APIs, MCP, Codex, Claude Code, and custom agent workflows.
  • Will you build agents for us during the workshop?+
    In the 3-hour workshop, the main point is teaching the team how to design and use the workflow. In the bootcamp or custom program, we can build working examples around your real process and document how the team should maintain them.
  • Can we use our real content workflows?+
    Yes, and that is the preferred format. The session gets much better when we can use your current briefs, research process, content calendar, approval path, and recurring bottlenecks.
  • What team size works best?+
    The ideal group is about 5 to 20 people: enough roles in the room to map the workflow properly, but small enough that people can ask specific questions. Larger workshops can be arranged with a narrower agenda.
  • Can this be delivered in English or Ukrainian?+
    Yes. Workshops are available in English and Ukrainian, including international remote teams.
  • Which tools do you cover?+
    The workshop is tool-agnostic. Depending on the team, examples may use ChatGPT, Claude, Claude Code, Codex, automation platforms, MCP, APIs, SEO tools, CMS data, or internal documents. The workflow comes first, then the tool.
  • How should we choose between the three formats?+
    Choose the 3-hour workshop if the team needs a shared model and one or two useful workflows. Choose the six-session bootcamp if you want practice and deeper implementation. Choose the custom program if you want the content operation redesigned around AI, with custom workflows and follow-up support.