Agentic workspace · for marketing teams
One operator steers five agents that measure, produce, publish, optimize and design — replacing a contractor team and closing the loop every week, not every quarter. We build the agents and the workspace to run them, and deploy both to your brand.
Cited across
Why now · work is becoming workflow work
The person stays in charge — owning context, judgment, approvals and the measure of "good." The machine takes more of the boring middle. Claude Code, Codex, Cursor and Windsurf were the first proof: agents can do real, multi-step tasks. That is the harbinger of how people will work at a computer. But a blank chat is not a business process, and a terminal is not a workspace — most teams cannot turn raw tools into a repeatable operation on their own.
The harbinger
Coding agents showed it first — Claude Code, Codex, Cursor, Windsurf. They plan, call tools, and finish multi-step tasks. The same shift is now reaching every desk job, marketing included.
The gap
A blank chat window and a pile of subscriptions do not add up to a process. Strong users build a private operating system from them; most teams cannot — and should not have to.
The need
You need a layer above the agents: roles, evidence, status, approvals, one operator. Not more chatbots — a workspace where the work arrives ready to review, not as raw output.
The answer · a workspace to run agents
In the workspace, every agent has a role and reports its work as a result packet — what it produced, which sources it used, what changed, and whether it is ready, blocked, or waiting your approval. You operate the team; the agents do the routine.
What this changes: the work arrives as an inbox of ready-to-review result packets — measured, sourced, and status-flagged — instead of a freelancer's draft that lands next month or a dashboard that only tells you the problem.
Applied to AI search · AEO · GEO
Every brand now faces the same new problem: buyers ask AI which option to pick, and the engine returns a few names — not ten links. Getting cited inside that answer is the job we point the workspace at first, because it is exactly the repeatable, measurable workflow agents are built for.
Becoming one of the few names ChatGPT, Perplexity, and Google AI Overviews return when a buyer asks what to choose.
Building and structuring the reviews, mentions, and trusted publications models draw on to recommend a brand. SEO earns a blue link; GEO earns the recommendation.
Inside the workspace · five agents, one operator
A monitoring tool tells you the problem; it does not solve it. The workspace runs the whole loop — measure where AI names you, produce the evidence AI cites, publish it, make the site citable, and design the visuals — so the gap and the fix live on the same screen.
Agent 01 · measures · replaces an analyst
AI-visibility tracking across 9 engines.
Hermes scans nine engines weekly — ChatGPT, Perplexity, Gemini, Claude, Grok, DeepSeek, Kimi, Google AI Overview and Yandex Neuro. It counts mentions and share of voice against competitors and ships a delta report.
Deep dive →Agent 02 · produces · replaces a copywriter
content that AI cites.
Content passes nine review gates: editorial, citability, structure, E-E-A-T, citation integrity, fact-check (NLI + knowledge graph), AI-text detection, schema, publish-readiness. Only what clears every gate ships.
Deep dive →Agent 03 · publishes · replaces a content manager
publishing and content management.
Publishes finished content to the site, blog and distribution channels, keeping it consistent and on schedule. Replaces a content manager in the steady output flow.
Agent 04 · optimizes · replaces an SEO specialist
a site that AI wants to cite.
AI doesn't read HTML like a browser. The agent turns the site into a source Perplexity, ChatGPT and Google AI Overview take as reference. Replaces an SEO specialist on the technical side for AI citability.
Deep dive →Agent 05 · designs · replaces a designer
visual assets for the content flow.
Produces brand-consistent visuals for every asset that goes to publication. Replaces a designer in the steady content flow, with no approval delays.
Proof · not a lucky case, a repeatable loop
Seven cases on /cases — three growth proofs and four baseline audits. The three growth proofs below ran in deliberately different categories: our own brand globally, auto retail in Russia, and B2B SaaS in North America.
Case 01 · dogfood · 3 months
1,000+ citations · 15.4 percent AI mention share · five to ten times ahead of every competitor in the category at the end of month three.
Case 02 · B2B SaaS · 8 weeks
23× ChatGPT visibility · cited alongside Monday.com, Wrike, Asana. 100 mapped queries, Decision-stage focus, 8 published pieces.
Case 03 · auto retail · 6 weeks
9,042 reads across 9 articles · format-driven content (calculations, comparisons, "should I buy?" guides) outperformed volume.
Four additional cases (Whitewill Dubai real estate, Gorbilet tourism, Nonton retail, LS ELECTRIC manufacturing).
Pricing · from $497/mo
A typical mid-market stack spends $5–9K per month on freelancers and SEO tools for slow, uneven output. Scale at $2,497 runs the five-agent workspace every week, with quality controlled at every step.
Questions buyers ask
A chatbot answers one prompt at a time; a tool does one job. An agentic workspace runs a team of AI agents from one screen, each with a role, and shows you their work as result packets — what they produced, which sources they used, what changed, and whether it is ready, blocked, or waiting your approval. You operate the team; the agents do the routine. It is a place to manage agents, not another chat window.
Because it is the job every brand now has and almost none has solved. Buyers ask ChatGPT, Perplexity, Gemini and Yandex Neuro before they Google — and those engines return a few names, not ten links. Getting your brand into that answer is a new, measurable problem, and it is exactly the kind of repeatable workflow agents do well. We have run full-service marketing for thirteen years, so it is the domain we point the workspace at first.
SEO optimises your website to rank on Google. GEO builds the third-party evidence — reviews, mentions, and trusted publications — that AI systems cite when they recommend a brand. In 2026 your buyers ask AI engines first; SEO alone leaves you out of that answer.
Nine: ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, Yandex Neuro, Alice, and DeepSeek. The Hermes Visibility agent scans each one weekly.
No. Most clients reallocate budget they already spend on freelancers and SEO tools — a typical mid-market stack costs $5–9K per month for slow, uneven output. The workspace runs five agents that cover analyst, copywriter, content manager, SEO and designer work under one operator, every week.
English and Russian pipelines today, Arabic next. We have shipped the loop in B2B SaaS, auto retail, premium real estate, tourism, retail, and industrial manufacturing — seven case studies on /cases. The strategy call shows the closeable gap in your category before you sign.
Our thesis · why we built this
The future of work is workflow agentization: people own the judgment and the agents do the routine, inside a workspace that makes the work reviewable. Marketing is one of the first domains where that becomes real — and AI search is the first job worth pointing the agents at. Our founder wrote the full argument.
Founders · Dubai + Tbilisi
Gregory Shevchenko founded the agency in 2019. Thirteen years in full-service digital marketing — scaled multiple clients from $1M to $5–10M ARR. Codes Hermes Core himself.
Ekaterina Lebedeva joined when she saw the company transforming from full-service marketing into an agentic workspace company. Fifteen years in management consulting across Tech and Telco. Brought the commercial discipline that lets the platform scale.
Ready to be the brand AI recommends?
An engineer from our AI search team runs your brand through Hermes before the call. You see exactly where each engine names you today. We tell you which tier fits — and honestly which would not make a measurable difference for your category.