Managed teammates
Claude, OpenAI, Gemini, and SwiftXEO's own Advisor and Verifier — no separate subscriptions or logins to manage.
SwiftXEO
Plan, create, and review growth work with your team and the AI you already use. SwiftXEO keeps the decisions, the evidence behind them, and the lessons in one place. What you approve carries into the next project.
The problem
Every team now ships AI-assisted work across dozens of tools. Volume is up. But the context behind each piece — why it was made, what backed it up, who approved it — lives nowhere.
Six months later, someone asks a simple question: "Why did we publish this?" The answer is scattered across chat logs, documents, and people's memories. Nothing records what the company actually decided.
That is not a content problem. It is a memory problem. The context exists somewhere, but no tool holds what your team approved, or why.
AI Teammates
Agent Room brings Claude, OpenAI, Gemini, and SwiftXEO's own Advisor and Verifier into one workspace. Ask a question, compare answers, or hand off a task. Every teammate works from the same approved context, and every proposal still waits for your review.
Claude, OpenAI, Gemini, and SwiftXEO's own Advisor and Verifier — no separate subscriptions or logins to manage.
Every teammate starts from the same approved brand strategy, objectives, and evidence — not a blank chat window.
Proposals from any teammate join the same review queue as everything else in SwiftXEO.
Use Claude, OpenAI, and Gemini in the cloud, or run a local model on your Mac. The runtime ships with the app and sets itself up.
The operating loop
Spot the opportunity. Plan the response. Publish reviewed work. Keep what worked.
SwiftXEO runs growth work as one loop. It watches your market, checks ideas against your approved strategy, publishes through reviewed workflows, and keeps what was decided and why.
01
Competitor moves, search rankings, and AI-visibility data come in with their source and timestamp attached.
02
Each idea is weighed against your approved brand strategy, your open objectives, and the evidence behind it.
03
Approved decisions become drafts, objectives, and campaigns — written by your team or an AI teammate. Nothing goes out until a person reviews it.
04
Results, decisions, and approved lessons stay with the workspace and feed the next round of work.
Without memory, this is just a process. With memory, each round starts from what the last one proved.
See how it worksStrategic memory
SwiftXEO watches what happens, suggests a lesson, and keeps only the ones your reviewers approve. Four learning loops feed that memory.
Weaknesses that keep showing up in review become standing rules for future drafts.
What measurably worked — checked against real GA4 and social performance data — is captured and reused.
Strategy-level disagreements and vetoes become rules that reach the planner, not just the copy.
Patterns that hold across many workspaces can improve platform guidance. No client-specific information is exposed.
Every lesson in every loop arrives as a proposal. It changes nothing until a person approves it. Rejected lessons never apply.
Earned trust
New workspaces start with review on everything. As SwiftXEO builds a record of what your team accepts, selected low-risk actions can move faster. The approval limits stay in place.
AI proposes. Your team approves. Every time.
See how review worksOpen platform
Your own systems and outside tools connect through the MCP server, REST API, and webhooks. They can read approved context and submit proposals. Nothing from outside can approve itself.
What AI may do can grow. The approval step never goes away.
See the open platformMarket scale
One approved strategy, carried into every market you operate in.
Localized content in 12 languages, all driven from one approved strategy.
Markets are separate from language — each market gets its own signals, angles, and campaigns.
Scheduled and published to web and social channels from one reviewed pipeline.
When connected, GA4 and social performance data feed the learning loops for every published piece.
History
From the signal that started the work to the result that followed, you can see every step.
Who it serves
Coordination
Many teams, markets, and agencies producing AI-assisted work need one shared record of what was decided and why. SwiftXEO keeps work across all of them aligned and traceable.
For enterpriseLeverage
Agencies don't have a talent problem. They have a leverage problem. Isolated per-client workspaces let senior judgment scale across every account — and Client A never bleeds into Client B.
For agenciesSpeed
Small teams move fastest when review overhead shrinks safely. As SwiftXEO learns what your team consistently approves, routine work can move faster without losing review history.
For growth teamsThe platform
Work with Claude, OpenAI, Gemini, and SwiftXEO's own Advisor and Verifier in one shared, reviewed workspace.
Reads your strategy, voice, and audience from your own presence — the base every other capability works from.
Technical SEO and content strategy, plus tracking how AI answer engines describe your brand.
Write, review, and publish across channels in 12 languages.
Competitor and signal monitoring, with the evidence attached.
Decision support grounded in your approved strategy and live signals.
Strategic DNA Scan
Enter your domain. SwiftXEO extracts your brand identity, value proposition, and target market — no account required.
No account required · Results usually ready in seconds
Questions
SwiftXEO is a Growth Operating System. It turns signals into decisions, lets you work with several AI teammates, publishes through reviewed workflows, and carries approved knowledge into the next cycle.
SwiftXEO is not built around one model or one way of generating. It keeps strategy, evidence, decisions, results, and approved lessons connected across everything your team and your AI tools produce.
Only within limits it has earned. Every workspace starts fully supervised. What it may do alone expands only as its proposals keep matching human decisions. Even then it is limited to task-level fixes, opt-in, and audited.
Yes. Agent Room lets you work directly with Claude, OpenAI, Gemini, and SwiftXEO's own Advisor and Verifier, and run selected work locally on your Mac. Outside AI tools and your own systems can also connect through the MCP server, REST API, and webhooks.
SwiftXEO publishes localized content in 12 languages. Markets are set up separately from language, so each market gets its own signals and campaigns, measured against connected GA4 and social performance data.
A Strategic DNA Scan gives SwiftXEO its first approved picture of your strategy, voice, and audience.