Forward-deployed AEOA team that builds your AEO operation, with the automation to run it.
We crawl your site, turn every page into something your AI assistants and agents can search, and connect it to the AI search monitoring, your Slack and your CMS. Then our practitioners and engineers work inside your team until asking your own website a question, or drafting a page from what it already says, is just how your team works. The setup stays with you.
What forward-deployed means at Hi, Moose.
The term comes from software companies that send engineers to sit with a customer instead of shipping a product and wishing them luck. We borrowed it because that is how this works. A few people from our team join yours for a while, set up the machine, and run it with you until it is yours.
We learn how your team gets a page from idea to live, who signs off, and where the content lives. Then we wire the monitoring, the alerts and the brief-writing into those exact steps. Nothing new to log into.
Every engagement comes with a base of AI search visibility monitoring, enough for most startup and mid-market teams. More prompts, markets or engines are an easy add-on when you need them.
The agents, the workflows and the history we built up all stay with your team. You can keep us on, or run it yourselves. Either way, the machine does not leave with us.
The first thing we do is make your website something you can talk to.
Hi, Moose crawls your site, turns every page into searchable vectors, and serves the whole thing over MCP. Connect it to Claude once and the people on your team can ask what you already say about a topic, which pages overlap, what a new page should link to, and get the pages back as the answer.
Searched northgate.com via Hi, Moose · 212 pagesMost of the work happens in the threads your team already reads.
This is what it looks like once the machine is in place: the engine notices something, your team asks the site what it already says, decides, approves, and the result is tracked. We are in the thread when it helps, not in the way.
Hi, Moose
ChatGPT 1 of 5
Perplexity 1 of 5
AI Overviews 1 of 4
Claude, with Northgate site over MCP212 pages indexed · 2 pages matched, 1 missing link
- 1 The engine notices a changeA workflow we set up posts Hi, Moose observations to the channel when citations for a tracked topic move.
- 2 Your team asks the siteYour whole website is indexed and available to Claude over MCP. The person who knows the product asks what you already say, and gets the pages back, not guesses.
- 3 We add what the history showsOur practitioner checks the plan against the citation record and sets up the report so the question answers itself next time.
- 4 Your team approvesChanges are staged in your CMS and published only after your content lead signs off.
- 5 The result is trackedThe same prompts are collected daily, and the comparison comes back to the same thread.
Not every week is about a single page.
Much of what we build is for your team to pick up and use without us: a report that writes itself from Hi, Moose and Search Console, a Claude Skill on our MCP that answers visibility and site questions, a list of fixes ready for your web lead.
- A weekly report built from Hi, Moose and Search Console, posted where the team already looks
- The same data, and the whole site, available in Claude through the Hi, Moose connector, for the people with access
- Site changes prepared as a list for your web lead, not pushed live
A setup period, then a working rhythm that repeats.
The first weeks go to learning how your team works and connecting the engine. After that, the work runs as a cycle.
Every engagement runs on Hi, Moose.
Hi, Moose is AI discoverability infrastructure we build and maintain. It collects answers from AI search engines on a schedule, keeps the history, and records which sources get cited and which competitors appear. Our team works from that record, so recommendations come with evidence.
It also crawls your website, indexes every page as searchable vectors, and exposes the whole site over MCP. Your team can open Claude and ask what you already say about a topic, which pages overlap, or what is missing before a brief gets written. Agents work from your real content instead of a copy and paste.
For managed engagements it runs on a dedicated server we look after for you, hosted in the region you need. EU, North America, or another region if your data residency rules call for it. Your people and agents reach it directly.
ClaudeSlack or TeamsYour CMSReports and dashboardsWorkflows we buildHi, Moose engine
Finding the work, doing it, and checking it worked.
These are the areas an engagement can cover. Which ones we focus on depends on your business, your team's capacity and where the opportunities are. We agree priorities with you and revisit them as results come in.
We add capacity and technology. Your team stays in charge of the business.
We work alongside your employees, agencies and systems. The aim is to get more of the right work done, not to replace the people who already do it.
Hi, Moose bringsWe agree at the start who approves what. Drafts and site changes are staged for review, and publishing happens only after the agreed sign-off. Agents and workflows we build get the access they need for their job, nothing broader, and your team can see and revoke it.
Work that keeps coming up becomes part of the engine.
Working closely with marketing teams shows us which problems repeat from company to company. When a task keeps coming up, we turn the general method into a tool, an integration or a maintained capability in Hi, Moose. Every customer gets the improved engine.
Our goal is to make more of the work repeatable, not to bill more hours. Your data, permissions and internal processes stay within your engagement.
It works best for teams with real work to ship.
Our customers are usually led by a VP of Marketing, Head of Growth or Director of SEO who already has a team, a site and a content program, and needs more capacity and better tooling around search and AI visibility.
If you'd rather run Hi, Moose yourself, the desktop app and MCP connection are available without an engagement.
Common questions.
Is AI search visibility monitoring included?
Yes. Every engagement includes a base level of monitoring across the answer engines, sized to what most startup and mid-market teams need. If you need more prompts, markets or engines tracked, it is a simple add-on.
Do your people work on site or become employees?
No. Our team works remotely with yours, in your collaboration tools, on a scope agreed at the start of the engagement.
Where is our instance hosted?
Wherever you need it. Each managed engagement gets its own dedicated instance of the engine, and we place it in the region that fits your data residency requirements: the EU, North America, or another region. Tell us the constraint and we will confirm the setup before the engagement starts.
Do we need to install the desktop app?
Not necessarily. The engine can run on a dedicated server we manage, and your team can reach it through Claude, ChatGPT, and other MCP clients, the REST API, or workflows we build. Our practitioners use the desktop app as part of the work.
Can you work alongside our existing agency or SEO software?
Yes. We work with the tools, data sources and partners you already have. Hi, Moose itself is required, because the engagement runs on it.
Which CMS platforms do you work with?
Webflow, WordPress, Grav, and other supported systems. Tell us what you use and we'll confirm what we can connect to during the first conversation. Often we can accommodate other systems with custom adapters.
Can an agent change our site on its own?
Only if your team turns that on. By default, drafts wait for the sign-off we agreed at the start, and your people do the publishing.
How is it priced?
There are two parts. The forward-deployed engagement (our people, scoped to the work, the integrations and the environment involved) and the engine itself (your dedicated instance, the monitoring, the site index and the MCP). You can pause or end the engagement whenever you like and keep the engine running on its own; it carries a smaller monthly cost. We'll put both numbers in front of you once we understand what you need.
Tell us what your team is working on.
This starts a conversation about an embedded engagement, not a software trial. A few lines about your team and what's stuck is enough.