The agentic workspace · five agents · one operator
Five Marketing Agents run by a single operator — not three modules, not a stack of freelancers. They measure your AI visibility across nine engines, produce and publish the content AI cites, optimize the site, and design the assets. The loop re-measures every week — you see the lift, not a slide.
Tracked across
Why a closed loop · what trackers leave open
Pure visibility trackers report where each engine names you. That is half the work. The other half is earning the next mention. That requires shipping cited research, structured schema, and trusted-source citations the models actually quote. A typical mid-market stack pairs a tracker subscription with three to five freelance writers. The two sides do not talk. Humanswith.AI compresses both into one platform so the loop runs every week. Start with the buyer overview for AI search visibility (AEO/GEO).
Layer 1 · measure
If you do not know which AI engine names your brand and which names your competitors, you cannot prioritise the work. Hermes scans the full nine-engine surface and ranks the closeable gaps.
Layer 2 · build
AI cites third-party sources roughly 94 percent of the time. ContentOS produces the research articles, comparison pages, and citation-friendly assets that earn the next mention.
Layer 3 · make readable
Schema, llms.txt, and crawler hygiene let AI engines find and trust your owned content when they do reach for it. Website Agentic Optimization handles the structured layer.
Solution · the Marketing Agents platform
One Marketing Agents operator runs five agents that replace an entire team: an analyst, a copywriter, a content manager, an SEO specialist and a designer. It is an AI-Native approach — a new class of solution instead of freelancers and a traditional agency.
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.
Deep dive →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.
How a typical engagement runs
No SDR. No proposal pipeline. The same engineer who runs your audit also owns the loop after you sign on.
Why this works: measurement and execution sit in the same dashboard. The engineer running the loop sees the gap and ships the fix in the same week, instead of writing a brief for a freelancer who will draft the article next month.
Active build
Today the work ships in semi-automatic mode with expert oversight at every step. Sub-pages with deeper documentation per module land in 2026 once the most-asked questions stabilise.
Platform questions buyers ask
Hermes Visibility measures (the brain). ContentOS Engine writes the content that earns the citations (a muscle). Website Agentic Optimization fixes the schema and crawler signals so AI can read and trust your site (the foundation muscle). Together they close the loop: measure the gap, ship the work, re-measure the lift.
Most buyers ask AI through more than one surface. ChatGPT and Perplexity dominate English search; Gemini and Google AI Overviews dominate the consumer side; Yandex Neuro and Alice cover the Russian-speaking market; Claude and Kimi index different reference corpora; DeepSeek and Copilot pick up the rest. A single-engine view misses where your category actually gets recommended.
Both, by tier. Starter and Category Winner fit founders pre-$5M ARR. Scale and Done-for-you fit $5–30M ARR teams replacing freelance marketing stacks. Enterprise multi-brand pricing is a custom Done-for-you engagement.
Two clients reached top-answer citation in six to eight weeks. Your timeline depends on category density and starting visibility — Hermes shows both in the first audit, free.
Often, yes. Most clients on Scale consolidate two to four legacy subscriptions (Ahrefs, Semrush, Surfer, freelance briefs) into one Humanswith.AI plan. Done-for-you replaces the entire content production stack.
A per-engine breakdown of how the nine major AI surfaces describe your brand and your top three competitors. The report includes a citation map (who quotes whom), a gap analysis (where rivals win), and a prioritised work list (which three moves close the largest gap first).
Ready to see the whole loop?
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.