Intelligent Websites
Intelligent websites · AI automation

Your website should
work while you sleep.

The internet is no longer a billboard. Agents that watch your analytics, competitors and search trends prepare improvements around the clock, and you approve what goes live.

How it's wired

An orchestrator, five agents, and an approval gate.

ARKMETA GM-SEO agent architectureThe site connects through a WebMCP bridge to an orchestrator running on AWS Lambda. Five sub-agents (analytics, link, trend alignment, content suggestions and scheduler) send suggestions to an approval engine. Approved suggestions appear as Google Calendar events and dashboard alerts, and are executed on the site through WebMCP.ARKMETA.PROWebMCP bridgeGM-SEO Agent OrchestratorAWS Lambda · coordinates all sub-agentsAnalyticsAgentGA4 · Search ConsoleLinkAgentAhrefsTrend AlignmentAgentGoogle TrendsContent SuggestionsAgentClaude APISchedulerAgentEventBridge · CronApproval EngineSuggestions queue · pending reviewGoogle CalendarScheduled suggestion eventsDashboard AlertsAdmin panel✓ approvedExecute via WebMCPPosts · metadata · links on ARKMETA.PRO
The agent system behind an intelligent site. Every suggestion passes through the Approval Engine before anything is executed.
The five sub-agents

Each agent has one job.

Analytics agent
Reads how the site performs
Pulls traffic and search performance from Google Analytics 4 and Search Console to see what is working and what isn't.
Link agent
Watches your backlinks
Uses Ahrefs data to track links and spot link opportunities and losses.
Trend alignment agent
Matches content to demand
Uses Google Trends to line up what you publish with what people are starting to search for.
Content suggestions agent
Drafts the ideas
Uses the Claude API to draft post, metadata and link suggestions.
Scheduler agent
Keeps it on a clock
Runs the agents on a schedule with EventBridge and cron.
Approval before action
1
Agents analyze on a schedule — the orchestrator coordinates the sub-agents and collects what they find.
2
Suggestions land in the queue — the Approval Engine holds every suggestion as pending review.
3
You review — suggestions appear as dashboard alerts and as scheduled events on your Google Calendar.
4
Approved changes execute — through the WebMCP bridge: posts, metadata and links on your site.

Nothing on your site changes until a suggestion is approved.

Static site vs. intelligent site
CapabilityStatic websiteARKMETA intelligent site
SEO upkeepManual, and often quarterly at bestAgents propose changes on a schedule; you approve them
Lead intakeA contact form nobody checks at nightAn intake agent responds to inquiries and books appointments
ContentLong gaps between postsSuggestions drafted from live search trends
Competitor watchYou find out weeks later, if everRanking and link changes flagged as they happen
Search intentContent frozen in timeAdjusted as search patterns shift
After hoursNothing happensAgents keep running; approvals wait for you
WebMCP

The bridge between your site and the agents.

MCP, the Model Context Protocol, is an open standard for connecting AI applications to tools and data. Our WebMCP bridge uses it to let an agent read your site's content, propose changes to titles, descriptions and schema markup, publish approved posts and pages, and check live search data, all through a controlled interface instead of copy-and-paste prompting.

The internet is no longer "search for plumber." It's "emergency plumber near me who can come today." Agents that read your analytics and search trends help you write for those specific niches, and own them before your competitors notice they exist.

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