Hermes Agent for GEO: a self-improving agent that works your Visiblee leads

Hermes Agent, the open-source autonomous agent from Nous Research, is built on one idea: it gets more capable the longer it runs. It creates skills from experience, sharpens them with use, and remembers your context across sessions. That makes it an unusually good fit for GEO — a job that’s repetitive, structured, and rewards a tireless reader. Wire it to Visiblee and it learns your visibility playbook, then runs it for you.

What Hermes Agent is

Hermes is a self-hosted agent that lives on your server — anything from a $5 VPS to a GPU box — and ships with 40+ built-in tools for running terminal commands, managing files, searching the web, and executing code. Two features matter most here:

• A self-improving skill loop. Hermes autonomously turns repeated work into reusable procedural skills, improves them as it uses them, and carries them across sessions. The tenth weekly GEO report runs smoother than the first.
• Persistent, searchable memory. Cross-session recall with full-text search and summarisation means it remembers your brand, your competitors, your tone, and what you’ve already tried — so it stops repeating dead ends.

It also has a built-in cron scheduler and can deliver to Telegram, Slack, Discord, email, and more — so its output lands where you already work.

Why a self-improving agent fits GEO

Most “AI for SEO” setups are stateless: every run starts from zero, so the agent never gets better at your brand. GEO punishes that. Your category has its own buyer questions, its own competitors, its own sources the engines trust. An agent that remembers which prompts you’re winning, which gaps you’ve already closed, and which Reddit threads converted is worth far more on its fiftieth run than its first.

Hermes is designed exactly for that accumulation. The catch is the same as always: it can only learn from real data. Point it at a single live ChatGPT query and it learns noise. Point it at a measurement layer — many prompts asked repeatedly across engines — and it learns signal.

Giving Hermes your visibility data

Because Visiblee includes the API on every plan, hooking Hermes up is a one-time job:

• MCP. Run visiblee mcp install to expose read-only tools (get_visibility, get_competitors, list_reddit_leads) that Hermes can call directly.
• CLI. Install @visiblee/cli, run visiblee login, and Hermes can shell out to visiblee visibility --json as one of its tools.

The step-by-step is in connecting an AI agent to your GEO analytics, and a wider round-up is in the best AI agents for SEO and GEO.

The GEO skills Hermes builds over time

Left to run, Hermes will distil your recurring GEO work into named skills you can invoke or schedule. The useful ones tend to be:

• weekly-visibility-report — pull the Visiblee overview, diff against last week, and write a five-line summary in your house style.
• find-gaps — surface high-intent prompts where a competitor is named and you’re absent, ranked by how winnable they look.
• draft-reddit-reply — take a qualified Reddit lead and draft a genuinely helpful answer grounded in your docs, ready for your review.
• source-watch — track which domains the engines cite for your category and flag when a new one appears that you could earn a mention on.

Each of these improves with use: Hermes learns which gaps you actually act on, which reply style gets upvoted, and which sources matter in your niche — and folds that back into the skill.

Turning Visiblee’s leads into action

Visiblee doesn’t just score you — it continuously scans Reddit for qualified leads: threads where buyers in your category are asking for exactly what you offer, the kind of conversation AI engines later cite. Hermes is well-suited to working that queue because it remembers what worked. Its loop looks like:

1. Fetch new Reddit leads and warm leads from Visiblee on a schedule.
2. Rank them using what it has learned about which threads converted before.
3. Draft a real, helpful reply for the best ones and send it to you for approval.
4. Record the outcome, then watch your visibility and citations to measure impact.

Over weeks, the ranking and the drafts get noticeably better — that’s the whole point of a self-improving agent. Just keep it in draft-and-approve mode for anything posted publicly; the agent finds and writes, you approve and publish.

Set it on a schedule

Use Hermes’s built-in cron to run the skills unattended: the weekly report every Monday, the gap scan twice a week, the Reddit triage every morning with results delivered to Slack or Telegram. Because it self-hosts and runs cheaply when idle, leaving it on costs little — and the longer it runs, the sharper its read on your brand becomes.

FAQ

Does Hermes really get better over time? That’s its design — it creates and refines procedural skills from experience and keeps cross-session memory. With a stable data source like Visiblee underneath, that improvement is real and visible.

How is it different from OpenClaw? Both are self-hosted, always-on agents. Hermes leans hardest into the self-improving skill loop; OpenClaw leans into chat-app ubiquity. Many teams run one of each. See automating GEO with OpenClaw.

Can it manage several brands? It can, but once you’re juggling multiple brands or clients you’ll want orchestration — see running a fleet of GEO agents with Mission Control.