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Workflow: The Buyer Journey, Agentified

Three agents.
One connected
system.

Your buyers form an opinion before they ever reach your website. These three agents monitor, adapt, and reinforce across the full journey — from AI answer to converted pipeline. Each one feeds the next.

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The Agents

Built in stages. Connected by design.

These are not finished products. They are agents at different stages of maturity — from reasoning layer to supervised autonomy to fully autonomous. Start with Agent 1 today. The rest follows.

Agent 01
AI Visibility Agent
Find out how Claude, ChatGPT, and Gemini describe your brand before your buyer ever arrives. Surface gaps, competitor threats, citation signals, and prioritized actions. Start with your website — or run a full brand scan.
Today
A reasoning layer operated by your team. Run a scan, read the gaps, generate content briefs. Human-in-loop throughout.
Next
Scheduled scans. SERP and third-party signals added. Prescriptions push directly to content workflows without manual triggers.
Full autonomy
Continuously monitors, detects drift, executes low-risk content updates, and feeds signals downstream to Agent 2.
Autonomy level Reasoning layer
Reasoning layer Supervised Autonomous
Agent 02
Experience Orchestration Agent
Acts on Agent 1's signals the moment a buyer lands. Reads intent and behavior in real time — adapts messaging, CTAs, content depth, and chat context. Not a static page. Not a generic chat bubble. See how it responds to your brand's signals.
Today
Works on probabilistic intent — referral source, landing page, on-site behavior, and intent data from tools like Bombora or 6sense.
Next
Direct signal feed from Agent 1. Real-time journey adaptation via CDP — Adobe, Salesforce, Segment, Mutiny, or Optimizely depending on your stack.
Full autonomy
Adapts journeys autonomously within guardrails. Pushes conversion outcomes back to Agent 1 to close the signal loop.
Autonomy level Reasoning layer
Reasoning layer Supervised Autonomous
Agent 03
Content System Agent
Turns what the first two agents reveal into strategy. Generates content briefs grounded in the exact queries where competitors are winning, and a marketing brief with channel priorities driven by citation signals.
Today
Content briefs generated manually from Agent 1 findings. Human team executes.
Next
Agent generates structured briefs, assigns to content owners, tracks execution against visibility outcomes.
Full autonomy
Autonomously creates and updates low-risk content. Monitors whether it moved the score. Learns each cycle.
Autonomy level Reasoning layer
Reasoning layer Supervised Autonomous
The Build in Public

Following the journey

Writing weekly on LinkedIn about what it takes to build this — the thinking, the architecture, what works, and what does not.


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When you know how AI frames your brand, what do you do about it?
Built the third agent to close the loop — the Content System. Scan data turned into a content brief, marketing brief, and channel priorities driven by citation signals.
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Your brand is being described by AI right now. Do you know what it's saying?
Connected Agent 1 to Agent 2 — an adaptive chatbot on your website that acts on AI visibility signals. Here's how Experience Orchestration works in a production environment.
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Building the AI Visibility Agent — give it a run
Put on the builder hat and built the AI Visibility agent. Enter your category, generate queries, run your brand scan. The data acquisition and reasoning layer for the full agent.
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