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Most AI SEO tools never actually query an LLM. They infer visibility from proxies. Static analysis cannot tell you what ChatGPT says about your brand. Only asking ChatGPT can.
Fifty real users went from a free AI visibility tool to a paid strategy. Here is the 5-stage conversion path they actually followed, where they dropped off, and what it means for you at whatever stage you are in.
Radar by Pixelmojo is generally available. Free tier runs 6 technical readiness tools. Paid from $5 per audit unlocks 6 more LLM-powered tools. Here is the launch story and the pricing logic.
Best for companies with 3+ AI touchpoints managing 50+ daily interactionsNot more chatbots. AI co-workers that coordinate autonomously, initiate work proactively, and operate like a real team—sharing intelligence across sales, support, and operations. 12-week build. Fixed scope. You own the application code.
Multi-agent orchestration is an AI architecture where multiple specialized agents work together as a coordinated system rather than operating as isolated chatbots. Each agent has a defined role (customer support, data processing, scheduling, compliance) and can hand off tasks, share context, and escalate to human operators when confidence is low. The orchestration layer manages agent communication, maintains shared memory across conversations, and ensures no request falls through the cracks. Hive implements this pattern with a unified intelligence layer built on Vector, giving every co-worker access to the same customer context, qualification signals, and conversation history.
And it's costing you more than you think
Your sales chatbot doesn't know what your support bot learned. Your ops automation can't access customer context. Each tool is an island.
Customers explain their situation to one bot, then explain it again to another. Your team manually transfers context between systems.
Real teams share learnings. Your AI tools don't. Every bot starts from zero, missing patterns that would be obvious to a human team.
Shared context. Collective learning. Orchestrated handoffs. That's what Hive builds.
This is how Hive runs your marketing operations. Multiple AI co-workers coordinating, sharing context, and completing tasks autonomously—24/7.
Drafting blog outline
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Agent Status
This Week
297 tasksLive Handoff
New lead from /vector → researching company
Completed SEO analysis: /vector landing page performance review
Published blog post: From Chatbot to Co-worker: The AI Evolution
Generated topic ideas: Q1 2026 content calendar - 8 blog topics
Wrote case study draft: FinServ client - 40% cost reduction story
Researched company profile: TechCorp Industries - B2B SaaS, Series B
Enriched lead data: Meridian Logistics - Found CTO email
Your AI co-workers. Your operations. Always running. Get Hive for your business →
Two offerings, one platform. Both powered by Vector's intelligence layer.
Hive for Enterprise — Industry-specific agents for insurance, logistics, operations, and HR. Built for commercial deployment.
Quote generation with multimodal support
This agent shares context with all other Hive agents. Customer interactions, preferences, and history flow seamlessly across your AI workforce.
Pre-built agents for common verticals. All sharing the same intelligence layer.
Quote generation, claims support, policy inquiries
Shipment tracking, cargo insurance, delivery support
Inventory queries, stock management, WMS integration
Employee inquiries, policy guidance, onboarding
Need a custom agent for your industry? Schedule a Call
Most AI tools are isolated. Hive agents share a common brain—unified memory, cross-agent learning, and seamless context handoffs.
Every agent accesses the same customer context. No more "I'll have to transfer you to someone who can help."
Patterns discovered by one agent improve all agents. Your sales agent learns from support interactions.
When a conversation needs to move between agents, full context transfers automatically. No customer repetition.
Feedback from any agent flows back to the shared intelligence layer. The whole system gets smarter together.
60 days from kickoff to full ownership. Fixed scope. No surprises.
We map your workflows, identify agent opportunities, and design the shared intelligence architecture. You approve before we build.
Deliverables
We build your agents, configure the shared intelligence layer, and integrate with your existing tools. Weekly demos keep you in the loop.
Deliverables
Staged rollout with real traffic. We monitor performance, tune responses, and ensure handoffs work smoothly across agents.
Deliverables
Measure against baseline. Iterate on what's working. Full handoff with documentation. You own the application code.
Deliverables
After 12 weeks: Full source code. Complete documentation. Your infrastructure. Optional ongoing support if you want it.
Not another SaaS login. Not a platform you rent. We build Hive on infrastructure you control, then hand you the keys.
Every line of code for every agent, plus the Vector intelligence layer. TypeScript, React, Next.js—standard stack your team already knows.
PostgreSQL on infrastructure you control. Not a shared multi-tenant platform where your data mixes with competitors.
CRM connections, database credentials, deployment access—all yours. The intelligence layer (LLM calls, scoring) runs through our platform, included in performance share.
Architecture docs, deployment guides, troubleshooting runbooks. Your team can maintain and extend without us.
Add new agents, modify negotiation patterns, change integrations. No platform limits. No feature requests to a vendor.
Build cost + platform fee + performance share ($3K/mo + $2/resolution). No per-seat fees. No surprise token bills. We handle all LLM costs—we only earn when your agents deliver.
Multi-agent systems add complexity. We build guardrails so you stay in control—not hoping everything works.
Every agent-to-agent handoff logged with context. See exactly what each agent knows and when.
Dashboard shows all active conversations, agent health, and response quality metrics in real-time.
Deploy one agent at a time. Test in sandbox before production. Gradual rollout with kill switches.
Any agent can be paused or reverted in seconds. No conversation left hanging.
Configurable thresholds for human handoff. Low-confidence responses auto-escalate to your team.
System flags when agents give inconsistent responses. Weekly reconciliation reports.
We don't ship and disappear.
Week 1: baseline your current process. Weekly: compare agent performance. You decide if the orchestration is working.
Everything you need to know about Hive by Pixelmojo.
Build + Platform + Performance. $65,000 one-time build (12 weeks), $3,000/month platform fee, and $2.00 per successful resolution. The platform fee covers your Intelligence Platform access, ongoing model training, all LLM costs, security updates, and priority support. You own the application code forever. We handle the AI infrastructure.
30-minute call. We'll map your current AI tools, identify orchestration opportunities, and tell you honestly if Hive makes sense for your situation.
12 weeks. Fixed scope. Multi-agent system configured to your workflows. You own the application code.
Work directly with the team who built Hive. Not a support queue.
AI co-workers handle routine work at a fraction of human cost. Metrics tracked weekly.
Build
$65,000
12-week delivery. You own the code.
Platform
$3,000/month
AI infrastructure, training, LLM costs
Performance
$2/resolution
vs $20-50 per human ticket
Vector included — 12-dimension intelligence layer powers all Hive agents
12-month minimum • 15% discount with annual prepay • No per-seat fees (Intercom, Zendesk charge extra)
No deck. No nurture sequence. Just a 30-minute call and a yes/no.
Prefer email? founders@pixelmojo.io
We're selective about pilot partners. Not every company is right for multi-agent orchestration, and we'd rather tell you upfront than waste your time.
Not ready for multi-agent? Start smaller.
Start with Vector ($35K build + $1.5K/mo) → Expand to Hive when ready