Deploy in Folloze.
Your team drafts the account campaign in the AI it already uses. Folloze takes it live, personalized per account, the same afternoon.
The short version
- Folloze runs where your team already works. Bring the AI you already use (Claude, ChatGPT, your own agents) and Folloze takes what it makes live, personalized per account.
- AI solved creation. The bottleneck moved to deployment. The slow step is everything after the draft: building the page, applying brand rules, deploying per account, hosting, and capturing the signal.
- Folloze runs the deployment layer. It builds the microsite, personalizes per account, applies your brand rules, hosts the experience, and routes the engagement signal back to sales.
- Open, not closed. The MCP integration is the newest door in, alongside the API. Bring any model. Folloze does not lock you to one AI, one stack, or one process.
AI didn't break your funnel. It exposed where you were already stuck. Not in making the content, but in getting it live in front of the account before the moment passes.
Your team can draft a personalized, account-specific campaign faster than it ever could. The strategy, the copy, the variants by segment, all of it comes together in an afternoon in Claude or ChatGPT. Then it stops. Turning that work into a live experience the account actually sees still routes through the web team, the ops queue, and brand review. That takes weeks. So you sit on a pile of good content and ship a fraction of it.
The platforms promising to fix that want you to create inside their AI, on their model, tied to their roadmap. Today Folloze went the other way. Our MCP integration is live, so the AI your team already uses can deploy straight into Folloze.
Create in Claude. Deploy in Folloze.
The bottleneck moved from creation to deployment
For most of the last decade, the hard part of a campaign was producing enough content. Personalization meant more briefs, more copy, more variants, more review cycles. AI took the volume problem off the table. Your team can now draft in a week what used to take a quarter. Speed of creation is not your constraint anymore.
The constraint moved downstream. The slow step is everything after the draft: building the page, applying brand rules, deploying it per account, hosting it, and capturing what each account does once they land.
Multiply that across an account list of three hundred and the math turns into the campaign you never run.
What "create in Claude, deploy in Folloze" looks like
MCP (Model Context Protocol) is an open standard that lets AI tools connect directly to other software. Folloze now speaks it. That turns a multi-week handoff into a single step.
The sequence is short:
You brief your AI on the account: industry, persona, the use case you are chasing.
It generates the content: the microsite, the campaign emails, the on-behalf sales emails, the ads.
Through the MCP, Folloze deploys it. Live microsite, personalized per account, with your brand rules applied automatically.
Folloze hosts the experience and captures the engagement signal: which accounts showed up, what they explored, which buying-group roles engaged.
That signal routes back to sales and into your stack in real time, so the next campaign targets the accounts that already leaned in.
For a team with an established AI workflow, the marketer sometimes never opens Folloze. The work happens in the tool they already live in, and Folloze runs the part that used to stall.
This is exactly what we've been waiting for. We can now work directly in Claude, use AI to build custom landing pages, and push them straight into Folloze. It feels like magic, dramatically cuts build time, and shows where personalized experiences are headed.
It fits the process you already run
Full autonomy is not what every team wants, and it is not the only way this works. If your process has gates (design review, copy approval, brand sign-off) Folloze fits them in.
Folloze connects to the stack you already run (Salesforce, Outreach, Clay, n8n, Slack) and triggers on your terms. Your AI drafts. Your reviewers approve. Folloze deploys when your workflow says go. You do not rebuild your process to use Folloze. Folloze builds into the process you have.
Open beats closed
This is the bet behind the MCP, and it is the one a marketing leader should weigh carefully. Your team's best work happens in the tools they chose, not the ones a platform forces on them. So the platform that deploys it should support any AI they use, not lock them to one.
A closed platform asks you to commit to its AI: its model, its prompts, its release schedule. That is a fine trade right up until the day a better model exists somewhere else, which is roughly every quarter now. An open execution platform does not ask for that commitment. Bring Claude today, a custom agent next quarter, whatever your team builds after that. Connect it through MCP or the API, keep the rest of your stack, and Folloze deploys, hosts, personalizes, and captures signal underneath all of it, with brand governance and compliance built in.
The MCP is the proof of the approach, not the product. The product is an open execution platform.
That track record predates MCP. It is what the deployment layer already does. MCP does not change those numbers. It removes the last manual step between your AI's draft and them.
This isn't a someday story
Enterprise teams are already creating with their own AI, whether that is Claude, Gemini, or Copilot, and activating it live on Folloze. Some are testing across a whole org, some are running it in production right now. Davis and ForgeX are the ones who put their name to it. They are not the only ones doing it.
What your team can do with it today
Two workflows your team can run this week.
Turn one white paper into a personalized program
Drop in the asset. Your AI and Folloze produce a personalized microsite for each segment, follow-up emails, and a nurture sequence keyed to the topics each reader actually explored. One download becomes a multi-touch program, and your demand gen team ships it in hours instead of waiting on a build.
Run 1:1 ABM at the scale of segment marketing
Brief Claude, or whichever model your team uses, on a named-account list. It generates the strategy and the content per account. Folloze deploys the personalized microsites, emails, and ads. Marketing reviews, sales activates. Your ops team triggers the whole flow from the stack they already run.
Questions marketing leaders are asking
MCP (Model Context Protocol) is an open standard that lets AI tools connect directly to other software. Folloze's MCP integration lets AI tools like Claude or ChatGPT deploy content straight into a live, personalized account experience, turning a multi-week handoff into a single step.
Yes. The AI drafts the campaign and Folloze deploys it as a live microsite, personalized per account, with brand rules applied automatically. Then it hosts the experience and captures the engagement signal from each account.
No. Folloze is an open execution platform. You bring whatever model your team already uses (Claude, ChatGPT, or a custom agent) and Folloze deploys, hosts, personalizes, and measures the experience underneath it.
Folloze triggers on your terms. Your AI drafts, your reviewers approve, and Folloze deploys when your workflow says go. It connects to Salesforce, Outreach, Clay, n8n, and Slack, so the flow runs from the stack you already use.
Interactive demo
Embed point. Replace this block in Webflow with the interactive demo.
See it on your own work
Bring one campaign sitting in your queue. We will walk it from brief to live microsite, so you can watch the deployment step disappear.
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